tag:blogger.com,1999:blog-66685577860815044152024-03-19T02:21:00.354-07:00SAP Business Intelligence / Business Warehouse (BI/BW)Working on my blog..
clubcric@gmail.comKVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.comBlogger358125tag:blogger.com,1999:blog-6668557786081504415.post-68922129380484065802223-11-19T18:11:00.000-08:002014-12-06T18:01:00.439-08:00Index<div dir="ltr" style="text-align: left;" trbidi="on">
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<div class="msg_list">
<div class="msg_head">
+ BI/BW for Beginners</div>
<div class="msg_body">
<ul>
<li>
<a href="https://sapbwi.blogspot.com/2013/01/chapter-1-introduction-to-sap-bi-from.html"> Chapter 1: Introduction to SAP BI from SDN</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/chapter-2-info-objects-sdn.html">Chapter 2: Info Objects (SDN)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/chapter-3-extended-star-schema-scn.html">Chapter 3: Extended Star Schema (SCN)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/guide-to-sap-beginners.html">Guide to SAP Beginners</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/create-infocube.html">
Create an InfoCube
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/infocube.html">
InfoCube
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/info-area.html">
Info Area
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/infoobjects.html">InfoObjects (Video)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infoobjects.html">
InfoObjects
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/types-of-infobjects.html">
Types of InfoObjects
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/data-store-objects.html">Data Store Objects</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/multiprovider.html">MultiProvider</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/differences-between-multiprovider-and_27.html">Differences between Multiprovider and Infoset</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/differences-between-multiprovider-and.html">Differeces Between DSO and InfoCube</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/difference-between-ods-vs-cube.html">Difference between ODS vs CUBE</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infocube-dso-multiprovider.html">
Infocube, DSO, Multiprovider
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/function-area-cubes.html">Function Area Cubes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/display-cube-dimension.html">Display Cube Dimension</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infoproviders-physical-and-virtual.html">Infoproviders (Physical and Virtual)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/virtual-provider-remote-cube.html">Virtual Provider( Remote Cube)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/aggregates.html">Aggregates</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bi-table-types-md-sid-dim-etc.html">
BI Table Types (MD, SID, DIM
)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/what-are-setup-tables.html">
What are the Setup Tables?
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/rsrv.html">RSRV</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/naming-convention-in-sap-bw.html">Naming Convention in SAP BW</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/classes-of-data.html">
Classes of Data
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/routine-lesson-1.html">
Routine Lesson 1
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/routine-lesson-2.html">Routine Lesson 2</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/routine-lesson-3.html">
Routine lesson 3
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bw-infoprovider-design-specifications.html">BW InfoProvider Design Specifications</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infoset.html">Infoset</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/aggregates-and-multicubes.html">Aggregates and Multicubes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-biw-infocube-realtime-concepts.html">Infocube Realtime Concepts</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi.html">SAP BI Overview I</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-overview.html">SAP BI Overview II</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/customer-exit-variables.html">
Customer Exit Variables
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/learn-your-bw-in-hard-way.html">Learn your BW in hard way</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/usefull-tables-for-infocube.html">Usefull Tables for InfoCube</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/usefull-tables-for-aggregates.html">Usefull Tables for Aggregates</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/usefull-tables-for-dso-data-store-object.html">
Usefull tables for DSO (Data Store Object)
</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2013/01/program-to-activate-transformation-dtp.html">Program to Activate Transformation & DTP</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-find-out-total-number-of-records.html">How to find out total number of records in Multiprovider?</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+
BI Training
</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training.html">
BI Training
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-1.html">
BI Training - 1
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-2.html">BI Training - 2</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-3.html">
BI Training - 3
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-3-1.html">BI Training - 3-1</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-3-2.html">BI Training - 3-2</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-training-4.html">BI Training - 4</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BI 7.3</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-bw-730-performance-improvements-in.html">Performance Improvements in Master-Data related scenarios and DTP Processing
</a></li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bw-73-troubleshooting-real-time-data.html">
BW 7.3: Troubleshooting Real-Time Data Acquisition...
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/the-new-sap-netweaver-bw-730-hierarchy.html">
The new SAP NetWeaver BW 7.30 hierarchy framework
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/maintaining-data-quality-in-bw-using.html">Maintaining Data Quality in BW using Error Stack</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bw-730-simple-supervision-of-process.html">
BW 7.30: Simple supervision of process chains
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/performance-improvements-for-datastore.html">Performance Improvements for DataStore Objects</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/functional-module-based-delta-enabled.html">
Functional Module Based Delta Enabled Generic Data..
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-save-your-listcube-selction.html">How to save your Listcube selction screen and the ..</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-fetch-your-infopackage-details.html">How to Fetch Your Infopackage Details From R/3 Sys...</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/the-bw-hana-relationship.html">The BW - HANA Relationship</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/demystifying-aggregates-in-sap-bi-70.html">Demystifying aggregates in SAP BI 7.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-bi-statistics-installation.html">SAP BI Statistics Installation</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/hybridprovider-in-bw-730.html">Hybridprovider in BW 7.30</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-convert-classic-infocubedso-to.html">
How to convert Classic Infocube/DSO to HANA optimi...
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/why-bw-and-hana-are-such-good.html">Why BW and HANA are such a good combination</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-bw-73-upgrade-in-less-than-3-hours.html">SAP BW 7.3 upgrade in less than 3 hours</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/delta-extraction-for-0figl04-for-every.html">Delta extraction for 0FI_GL_04 for every 30 minute...</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bw-730-different-ways-to-delete-master.html">
Different ways to delete Master data
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-bw-version-73-overview-of-promising.html">Overview of promising features!</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/modeling-is-next-generation-of.html">Modeling is the next generation of programming lan..</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bw-730-dataflow-copy-tool-how-to-use.html">Dataflow Copy Tool</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/all-about-sap-hana-composite-post.html">All about SAP HANA – composite post</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/whats-new-in-sap-netweaver-73-basis_4.html">What's new in SAP NetWeaver 7.3 - A Basis perspect.</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/major-lessons-learnt-from-bw-730-upgrade.html">
Major Lessons Learnt from BW 7.30 Upgrade
</a>
</li>
</ul>
</div>
<div class="msg_head">
+ BI (Miscellaneous)</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/all-about-inventory-management.html">All about Inventory Management</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/how-to-activate-business-content-in-sap.html">How to Activate Business Content in SAP BI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/snro.html">SNRO</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/wholesale-distribution.html">Wholesale Distribution</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/posnr-misleading-field-in-ecc.html">
POSNR- The misleading field in ECC
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/decimal-issues-in-bi.html">
Decimal Issues in BI
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/dynamic-attachment-using-simple.html">Dynamic Attachment using Simple Transformation</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/repeat-delta-elucidate-from-oltp-to-bw.html">Repeat Delta Elucidate From OLTP to BW System</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/partition-count.html">
Partition Count
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/snapshot-scenario-on-stock-data-with-apd.html">Snapshot Scenario on Stock Data with APD</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/making-business-intelligence-work-for.html">Making Business Intelligence Work for You</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/are-you-hiding-your-data-sins.html">
Are You Hiding Your Data Sins?
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/merging-sap-and-non-sap-data-overcoming.html">Merging SAP and non-SAP data: Overcoming Hierarchies</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/business-intelligence-40.html">Business Intelligence 4.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/what-is-difference-between-outer-join.html">What is the difference between outer join and inner join ?</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/customizing-cockpit-managing-delta.html">Customizing Cockpit: Managing delta queues when structure changes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-and-what-to-check-in-your-bw.html">How to and what to check in your BW system before GO-Live</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/treasury-system-business-content-cubes.html">Treasury system business Content Cubes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/implementing-virtual-infocube-based-on.html">Implementing Virtual Infocube Based on Direct Access in SAP BI 7.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/creating-new-unit-of-measure-in-sap-bi.html">Creating New Unit of Measure in SAP BI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/user-exits-in-sap-bibw.html">
User Exits in SAP BI/BW
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/user-exists.html">
User Exits
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/replacement-path-in-variable-reporting.html">Replacement Path In Variable Reporting</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/analysis-process-and-designer.html">Analysis Process and Designer</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-accelerator.html">BI Accelerator</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-master-data-partioning.html">Master Data Partitioning</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/attributes-change-run.html">Attributes Change Run</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/customize-sap-bw-for-sap-r3.html">Customize SAP BW for SAP R/3</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/delta-management.html">
Delta Management
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/project-issues.html">Project issues</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/daily-bw-system-checklist.html">
Daily BW System checklist
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/avoid-attribute-change-run-collision.html">Avoid Attribute Change Run Collision</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/configuring-rfc-and-connecting-to-ecc6.html">
Configuring RFC and Connecting to ECC6 Server
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-r3-configuration-steps.html">BI - R/3 Configuration Steps</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/hierachy-attribute-change-run.html">Hierachy / Attribute Change Run</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/below-are-steps-required-to-create-open.html">Steps required to create an Open Hub Destination in BI 7.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/activation-of-inactive-objects-in.html">Activation of Inactive Objects in Production</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/conversion-routines-in-sap-bw.html">Conversion Routines in SAP BW</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sales-and-distribution-tables.html">Sales and Distribution Tables</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/implementation-project-rollout.html">Implementation Project Rollout</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/volume-testing.html">Volume Testing</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Data Modeling</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/inventory-data-loading.html">
Inventory Data Loading
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-use-start-and-end-routine.html">
How To... Use Start and End Routine
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bi-data-loading-basics.html">
BI Data Loading Basics
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/data-load-in-psa-check.html">
Data load in PSA check
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/find-psa-database-table-and-data.html">
Find the PSA database table and data
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/bi-metadata.html">
BI Metadata
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/error-dtp-handling.html">Error DTP handling</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/program-to-activate-transformation-dtp.html">Program to Activate Transformation & DTP</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/flat-file-loading.html">Flat File Loading</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-re-construct-load-from-dso.html">
How to re-construct a Load From DSO
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-check-setting-of-flat-file-in-bw.html">How to check the setting of flat file in BW</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/delta-update-methods-in-logistic.html">
Delta Update Methods in Logistic
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Data Source</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/data-source-real-time-scenarios.html">Data Source - Real Time Scenarios - 1</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/real-time-scenarios.html">Data Source - Real Time Scenarios - 2</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/loading-multiple-hierarchies.html">
Loading Multiple Hierarchies
</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/how-to-implement-virtualprovider-with.html">How to Implement a VirtualProvider with Function Module</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-create-generic-data-sources.html">How to Create Generic Data Sources which use the Delta Queue</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/functional-module-based-generic.html">Functional Module Based Generic Datasource Part I</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/functional-module-based-delta-enabled.html">
Functional Module Based Delta Enabled Generic Datasource Part 2
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/replicate-data-sources.html">Replicate Data Sources</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/create-data-source-in-sap.html">Create Data Source in SAP</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/need-to-delete-dataenhance-data-source.html">Need to Delete Data/Enhance Data Source</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/define-source-system.html">Define Source System</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/sap-bw-data-source-enhancement.html">Data Source Enhancement</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Extraction</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/data-extraction-transformation-and.html">Data Extraction, Transformation, and Loading Techniques</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/functional-module-based-generic.html">Functional Module Based Generic Datasource Part I</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/lo-extraction-part-3-extractor-logic.html">LO Extraction - Part 3 Extractor Logic</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/changing-of-lo-extractor-in-production.html">Changing of LO Extractor in Production System</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/delta-mechanism-in-lo-extraction-v3.html">Delta Mechanism In LO Extraction V3 Update</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/lo-extractor-in-production-system.html">LO Extractor in Production system</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/lo-cockpit-extraction.html">FICO extraction steps</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/lo-cockpit-extraction.html">LO-COCKPIT Extraction</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-lo-extraction-made-simple.html">LO EXTRACTION MADE SIMPLE</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/generic-extraction.html">Generic Extraction</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/co-pa-extraction.html">CO-PA Extraction</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/delta-mechanism-in-lo-extraction.html">
Delta Mechanism In LO Extraction
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/a-treatise-on-crm-adb-data-extraction.html">A Treatise on CRM (ADB) Data Extraction for Business Information Reporting</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-tocreate-generic-extractor-from-sap.html">How To...Create a generic extractor from SAP R/3 (Video)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/why-do-my-delta-updates-from-co-pa-to.html">Why Do My Delta Updates from CO-PA to BW Fail?</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Infocube</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infocube-performance.html">Infocube Performance</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/create-infocube.html">Create an InfoCube</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/info-cube.html">InfoCube</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/remodeling-infocube.html">
Remodeling Infocube
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/loading-plan-and-actual-data-into-same.html">
Loading plan and actual data into the same InfoCube
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Process Chains</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/process-chains-tips.html">
Process Chains Tips
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/all-about-process-chains-in-sap-bw-step.html">All about Process Chains</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/introduction-to-process-chains-70.html">Introduction to Process Chains 7.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-process-chains.html">Process Chains</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Aggregates</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/loading-data-into-aggregates-efficiently.html">
Loading Data into Aggregates Efficiently
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/adjusting-changes-to-hierarchies-and.html">Adjusting Changes to Hierarchies and Attributes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/rolling-up-data-into-aggregate.html">Rolling Up Data into an Aggregate</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/activating-and-filling-aggregates.html">Activating and Filling Aggregates</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/aggregates_20.html">Aggregates</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/aggregates-sap-bw-query-performance.html">Aggregates -- SAP BW Query Performance</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/aggregate-data-in-update-rules-for.html">
Aggregate Data in the Update Rules for Performance...
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Program Names</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-bw-functionality.html">
SAP BW Functionality
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-abap-programs-and-function.html">
SAP BW ABAP Programs and Function Modules
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Tcodes</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/useful-t-codes-for-sap-bi.html">Useful T-codes For SAP BI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/common-sap-bw-transactions.html">
Common SAP BW Transactions
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/extraction-logistics-datasources-t.html">Extraction Logistics Datasources - T-Codes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/important-transaction-codes-for-bw.html">
Important Transaction Codes For BW
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/tcodes.html">Tcodes</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BI ABAP</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/04/beginners-guide-to-bi-abap.html">
Beginner's Guide to BI - ABAP
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/abap-programs-in-sap-bi.html">ABAP Programs in SAP BI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-related-abap.html">BI Related ABAP</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BI Certification Training</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw10-data-warehousing.html">TBW10 - Data Warehousing</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw20-enterprise-reporting-query.html">TBW20 - Enterprise Reporting, Query</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw20-reporting-query-design.html">TBW20 - Reporting & Query Design</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw41-analysis-processes-and-data-mining.html">TBW41 - Analysis Processes and Data Mining</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw42-advanced-enterprise-data_9.html">TBW42 - Advanced Enterprise Data Warehousing & Rep..(Part I)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/tbw42-advanced-enterprise-data.html">TBW42 - Advanced Enterprise Data Warehousing & Rep...(Part II)</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2013/06/tbw45-bi-integrated-planning.html">TBW45 BI - Integrated Planning</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/bi-integreated-planning.html">BI Integrated Planning</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/sap-bi-certification.html">SAP BI Certification</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/a-business-information-warehouse-study.html">SAP BW Certification a Business Information Warehouse Study Guide</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BI Certification</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/a-business-information-warehouse-study.html">SAP BW Certification a Business Information Warehouse Study Guide</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-certification-questions.html">
SAP BI Certification Questions
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-questions-part-1.html">SAP BW Certification Questions (Part - 1)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-questions-part-2.html">
SAP BW Certification Questions (Part - 2)
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-questions-part-3.html">SAP BW Certification Questions (Part - 3)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-questions-part-4.html">SAP BW Certification Questions (Part - 4)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-question-part-5.html">SAP BW Certification Question (Part - 5)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-certification-questions-part-6.html">SAP BW Certification Questions (Part - 6)</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Interview Questions - Companies</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-accenture.html">Accenture</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bibw-innterview-questions-bristle.html">Bristle-Cone</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bibw-innterview-questions-cs.html">CS</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-satyam.html">Satyam</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-tcs.html">TCS</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-infotech.html">Wipro</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-igate.html">Igate</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-infosys.html">Infosys</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-hp.html">HP</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-ibm.html">IBM</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-hcl.html">HCL</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-curosys.html">Curosys</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-cap-gemini.html">Cap-Gemini</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-citigroup.html">Citigroup</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-infotech.html">Infotech</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-interview-questions-magnus.html">Magnus-Infotech</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BI/BW Questions & Answers</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/600-bi-interview-questions-questions.html">600 BI Interview Questions (Questions Only)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-interview-questions.html">SAP BW Interview Questions - I</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/interview-questions.html">SAP BW Interview Questions - II</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/interview-questions-and-answers-for-sap.html">SAP BW Interview Questions - III</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-questions-part-1_19.html">
SAP ETL Questions (Part - 1)
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-questions-part-2.html">
SAP ETL Questions (Part - 2)
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-questions-part-3.html">SAP ETL Questions (Part - 3) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-questions-part-4.html">SAP ETL Questions (Part - 4) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-performance-tuning-questions.html">SAP ETL Performance Tuning Questions (Part - 5) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-lo-extraction-questions-part-6.html">SAP ETL LO Extraction Questions (Part - 6) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-generic-extraction-questions.html">SAP ETL Generic Extraction Questions (Part -7) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-process-chains-questions-part-8.html">SAP ETL Process Chains Questions (Part - 8) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-asap-questions-part-9.html">SAP ETL ASAP Questions (Part - 9) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-co-pa-questions-part-10.html">SAP ETL CO-PA Questions (Part -10) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-fi-sl-questions-part-11.html">SAP ETL FI-SL Questions (Part - 11) </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-etl-bex-reporting-questions-part-12.html">SAP ETL BEx Reporting Questions (Part -12) </a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/questions-on-aggregates.html">Questions on Aggregates </a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Real Time Interview Questions</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions.html">SAP BI Real Time Interview Questions (Part -1)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_15.html">SAP BI Real Time Interview Questions (Part -2)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_6525.html">SAP BI Real Time Interview Questions (Part -3)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_862.html">SAP BI Real Time Interview Questions (Part -4)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_4840.html">SAP BI Real Time Interview Questions (Part -5)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_7181.html">SAP BI Real Time Interview Questions (Part -6)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_9442.html">SAP BI Real Time Interview Questions (Part -7)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_2884.html">SAP BI Real Time Interview Questions (Part -8)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_4002.html">SAP BI Real Time Interview Questions (Part -9)</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-real-time-interview-questions_4988.html">SAP BI Real Time Interview Questions (Part -10)</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Real Time Scenarios</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/create-index-is-taking-more-time-to.html">
Create Index is taking more time to complete
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/remodeling-dso-can-history-data-be.html">Remodeling a DSO - Can history data be loaded for new char?</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/dtp-load-from-cube-to-cube-keeps.html">DTP load from cube to cube keeps running - Real Time Scenario</a>
</li>
<li>
<a sapbwi.blogspot.com="" href="http://sapbwi.blogspot.com/2013/06/data-source-real-time-scenarios.html%E2%80%9D%3E%20%20Data%20Source%20%E2%80%93%20Real%20Time%20Scenarios%20-%20I%3C/a%3E%20%20%20%3C/li%3E%3Cli%3E%3Ca%20href=" http:="" real-time-scenarios.html="">
Data Source – Real Time Scenarios
- II </a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/help-with-updated-2lis03bf.html">
Help with updated 2LIS_03_BF
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Performance</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/backend-performance-improvement.html">
Backend Performance Improvement Measures
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/performance-issues-in-sap-bibw.html">
Performance Issues
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Production</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/types-of-tickets-in-production_19.html">Types of Tickets in Production</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bw-production-support-issues-long.html">Production Support Issues (Long running ODS/DSO Activation)</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Videos</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-hana-10-overview-use-hana-with-bi-40.html">SAP HANA 1.0: Overview - Use HANA with BI 4.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/what-is-sap-hana-introduction-and.html">What is SAP HANA? Introduction and Overview of SAP. HANA</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-tocreate-generic-extractor-from-sap.html">How To...Create a generic extractor from SAP R/3</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/infoobjects.html">InfoObjects</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-videos.html">BI Videos</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Program Documentation</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/uat-031-consolidated-decision-analysis.html">UAT-031 Consolidated Decision Analysis</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/solution-manager-handout.html">
Solution Manager Handout
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-soar-oms-end-state-object-inventory.html">SOAR-OMS End-State Object Inventory and Attributes</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-scope-areas-filters.html">
BW Scope Areas (Filters)
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-resource-plan.html">BW Resource Plan</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-query-default-values-and-setup.html">BW Query Default Values and Setup</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-naming-standards.html">
BW Naming Standards
</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/bw-change-control-procedures.html">BW Change Control Procedures</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/bw-abap-program-naming-standards.html">BW ABAP Program Naming Standards</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/basis-arrow-chart.html">Basis Arrow Chart</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ ASAP Implementation</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/asap-for-implementation-7x-overview.html">ASAP for Implementation 7.x Overview
</a>
</li>
</ul>
</div>
<div class="msg_head">
+ Implementation</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/responsibilities-of-implementation.html">Responsibilities of an Implementation Project</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/customize-sap-r3-for-sap-bw.html">Customize SAP R/3 for SAP BW</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-implementation-process.html">SAP Implementation process</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Tables </div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/10/tables-relations-in-sap.html">Tables Relations in SAP</a>
</li>
</ul>
</div>
<div class="msg_head">
+ Queries</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-check-whether-query-is-already.html">How to check whether the query is already migrated to BI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/variable-selection-range-in-two.html">Variable-Selection Range in Two Different Prompt Window</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-create-variable-for-given-key.html">How to Create Variable for a Given Key Figure</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/exception-reporting-solution-using.html">Exception Reporting Solution using Information Broadcasting</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/change-query-cache-mode.html">Change the Query Cache Mode</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-reporting.html">SAP BI REPORTING</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-reporting-cell-editor-variables.html">SAP BI REPORTING ( cell editor, variables )</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-reporting-cell-editor-variables.html">How to insert two queries into one BEx Analyzer workbook</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/running-query-bex-for-data-extraction.html">Running a Query (BEx) for Data Extraction</a>
</li>
<li>
<a href="https://www.blogger.com/blogger.g?blogID=6668557786081504415#http://sapbwi.blogspot.com/2012/12/checklist-for-query-performance.html">Checklist for Query Performance</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/how-to-use-user-exit-variable.html">How to Use User Exit Variable</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-vs-r3-reporting.html">SAP BI vs. R/3 Reporting</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/steps-to-copy-queries-from-one-cube-to.html">Steps to copy queries from one cube to other</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/migrate-query-variant.html">
Migrate Query Variant
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Business Explorer</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/customer-specific-adjusting-of-bex-web.html">
Customer specific adjusting of BEx web-based variable.
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/sap-bex-toolbar.html">SAP BEX Toolbar</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/how-to-use-opendocument-with-bex.html">How to use OpenDocument with BEx variables</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/bex-userexits-reloaded.html">BEx-Userexits reloaded</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/no-of-times-bex-report-executed-by-user.html">No. of times a BEx report executed by a User</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/06/sap-businessobjects-analysis-workbook.html">SAP BusinessObjects Analysis Workbook and SAP BW</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ User Case Testing</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/user-experience-in-practice.html">User Experience in Practice</a>
</li>
</ul>
</div>
<div class="msg_head">
+ SAP HANA</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/sap-hana-10-overview-use-hana-with-bi-40.html">SAP HANA 1.0: Overview - Use HANA with BI 4.0</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/what-is-sap-hana-introduction-and.html">What is SAP HANA?</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/the-bw-hana-relationship.html">The BW - HANA Relationship</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-convert-classic-infocubedso-to.html">How to convert Classic Infocube/DSO to HANA optimized cubes/ DSO</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/why-bw-and-hana-are-such-good.html">Why BW and HANA are such a good combination</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/all-about-sap-hana-composite-post.html">All about SAP HANA – composite post</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Transport</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/transport-tips-in-bw.html">Transport Tips in BW</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/managing-transports.html">Managing Transports</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/transporting-sap-bi-queries.html">Transporting SAP BI queries</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2013/01/how-to-collect-variant-and-abap-program.html">How To Collect a Variant and ABAP Program in a Transport</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/change-request-management.html">
Change Request Managemen
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Migration</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/data-flow-migration-from-bw-35-to-bi-7x.html">
Data Flow Migration from BW 3.5 to BI 7.X
</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ Authorizations</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/roles-and-authorization.html">
Maintaining Roles and Authorizations in BI7.0
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/sap-bi-70-authorization-concept.html">
SAP BI 7.0 Authorization Concept
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/authorization-in-sap-bi.html">
Authorization in SAP BI
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/step-by-step-sap-bi-security.html">Step-by-Step SAP BI Security</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/authorizations-in-sap-bw-project.html">
Authorizations In An SAP BW Project
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-security-authorizations.html">
BW Security (Authorizations)
</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/user-roles.html">User Roles</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infoobjects-level-authorization.html">InfoObjects Level Authorization</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bi-70-authorization.html">Creating and Assigning Authorization</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bw-authorizations.html">BW Authorizations</a>
</li>
<ul>
</ul>
</ul>
</div>
<div class="msg_head">
+ BAPI</div>
<div class="msg_body">
<ul>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/infopackages-with-bapi.html">InfoPackages with BAPI</a>
</li>
<li>
<a href="http://sapbwi.blogspot.com/2012/12/bapi.html">
BAPI
</a>
</li>
</ul>
</div>
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</div>
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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com59tag:blogger.com,1999:blog-6668557786081504415.post-19345365185060512342014-12-14T19:10:00.000-08:002014-12-14T19:20:06.932-08:00Reconstruction of InfoCubes <div dir="ltr" style="text-align: left;" trbidi="on">
<h3>
Use</h3>
<div class="MsoNormal">
With this function,
you can fill an InfoCube with requests that have already been loaded into
another InfoCube.<span lang="DE"> This function is only necessary for
InfoCubes that obtained their data from InfoPackages. Only the InfoPackage
requests are displayed. For InfoCubes that were loaded with a data transfer
process, also supply other objects with this data using data transfer
processes.</span>
</div>
<h3>
<span lang="DE">Integration</span></h3>
<div class="MsoNormal">
<span lang="DE">This function is particularly useful if
you are loading deltas, that is, data that you cannot request again from the
source system.</span></div>
<h3>
<span lang="DE">Prerequisites</span></h3>
<div class="MsoNormal">
<span lang="DE">You have created a new InfoCube with
update rules. </span></div>
<h3>
<span lang="DE">Features</span></h3>
<div class="MsoNormal">
<span lang="DE">You can select an InfoCube, an
InfoSource, a time frame or a source system, where all the requests that have
already been loaded for your selection are displayed. You can choose
individual requests, and use them to reconstruct the InfoCube.</span></div>
You can start
loading or scheduling the InfoCube immediately in the background, or set it so
that it is triggered by an event.
<br />
<div class="MsoNormal">
<span lang="DE">If the requests contained in the InfoCube
were already rolled up in aggregates or in BI accelerator indexes, you can no
longer use these requests for reconstructing. Only the last (uppermost)
requests can be used for reconstruction.</span></div>
<h3>
<span lang="DE">Activities</span></h3>
<div class="MsoNormal">
<span lang="DE">In the InfoCube tree, choose the
</span><i><span lang="DE">InfoCube</span></i><span lang="DE"> that you want to fill </span><span class="Object7">→</span> <i><span lang="DE">Context Menu (right mouse
button)</span></i><span lang="DE"> </span><span class="Object7">→</span> <i><span lang="DE">Manage</span></i><span lang="DE">.</span><span lang="DE"> Choose <i>Reconstruct</i> </span><span class="Object7">→</span><i><span lang="DE"> Selection</span></i><span lang="DE">, and, using the selection
options, determine the requests that you want to use to reconstruct the
InfoCube.</span></div>
<div class="MsoNormal">
<span lang="DE">Select the corresponding requests from
the list, and choose <i>Reconstruct</i>.</span><br />
<br />
<br />
<span lang="DE"> *********************************************************************************</span><br />
<br />
For example, you are doing daily load. You realize that some records
are missing for a particular date. so, you delete the requests till that
date , do a ful load of those records missing for that date. Now, what
happens is, the requests that are deleted will be in the reconstruction
tab. now to bring back these requests to the data target, you
reconstruct, so that the deleted requests will come back.<br />
<div style="height: 8pt; min-height: 8pt; padding: 0px;">
<br /></div>
<div style="height: 8pt; min-height: 8pt; padding: 0px;">
<br /></div>
This way, yo are loading the missed ones, as well as bring back the ones completely till date.<br />
<br />
<span lang="DE"> *********************************************************************************</span><br />
<br />
We use infocube reconstruction in case of deleting request.<br />
<div style="height: 8pt; min-height: 8pt; padding: 0px;">
<br /></div>
Ex:
If u have a request in which there are records having error. Then U
have to correcte those error records in PSA and load the data again.
For loading that data again from PSA u have to delete that bad (red)
request from data target manage screen . After deleting that request u
have to reconstruct that request for loading data from PSA to data
target. U can do that from reconstruction tab.<br />
<br />
<span lang="DE">*********************************************************************************</span><br />
<br />
Reconstruction is possible if you are loading through PSA and you have not deleted that request from PSA.<br />
<div style="height: 8pt; min-height: 8pt; padding: 0px;">
<br /></div>
In
many case you load data to target then delete them for some reasons.
The most common being to edit them because of invalid records.<br />
Reconstruction means just pushing from PSA into target again.<br />
<br />
<br />
<span lang="DE"> </span> <br />
<span lang="DE"> </span> <br />
</div>
<div class="MsoNormal">
<br /></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-4774056101467968602014-12-13T18:20:00.000-08:002014-12-13T18:20:45.861-08:00LO Extraction<div dir="ltr" style="text-align: left;" trbidi="on">
<div dir="ltr" style="text-align: left;" trbidi="on">
<br /></div>
<div style="-x-system-font: none; display: block; font-family: Helvetica,Arial,Sans-serif; font-size-adjust: none; font-size: 14px; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal; margin: 12px auto 6px auto;">
<a href="http://www.scribd.com/doc/177289543/LO-Extraction" style="text-decoration: underline;" title="View LO Extraction on Scribd">LO Extraction</a></div>
<iframe class="scribd_iframe_embed" data-aspect-ratio="undefined" data-auto-height="false" frameborder="0" height="600" id="doc_17412" scrolling="no" src="//www.scribd.com/embeds/177289543/content?start_page=1&view_mode=scroll&show_recommendations=true" width="100%"></iframe></div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-75550856102383342112014-12-09T21:36:00.005-08:002014-12-09T21:45:11.686-08:00Buy SAP Modules for Cheap!!!<div dir="ltr" style="text-align: left;" trbidi="on">
<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-9ROH1DQt3uA/VIfbDxFjLKI/AAAAAAAAENQ/zBHm82tzxB8/s1600/Screen%2BShot%2B2014-12-10%2Bat%2B11.01.09.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-9ROH1DQt3uA/VIfbDxFjLKI/AAAAAAAAENQ/zBHm82tzxB8/s1600/Screen%2BShot%2B2014-12-10%2Bat%2B11.01.09.png" height="188" width="640" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
</div>
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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-51202249393813595632014-12-08T00:02:00.000-08:002014-12-08T00:02:52.622-08:00Transport Sequence in SAP BI/BW<div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
<div class="MsoNormal" style="background: white;">
<span style="color: black; display: none; font-size: 14.0pt; mso-bidi-font-family: Arial; mso-hide: all;"><img border="0" height="20" src="file://localhost/Users/Phalgun/Library/Caches/TemporaryItems/msoclip/0clip_image002.gif" width="74" /></span><span style="color: black; mso-bidi-font-family: Arial;">Transporting objects in SAP BW is not same like in other SAP
or non-SAP systems, handling transportation in SAP BW is some what different.
Here below listed all the BW objects in sequence to follow while transporting
with in the landscape.</span>
</div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">1. <b>R/3</b> - R/3 objects must be transported first before
BW transports cab begin</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">2. <b>Development Class</b> - for backend objects</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">3. <b>Developer Security Roles</b> - End user roles for
projects can be transported later</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">4. <b>Application Component</b> - including InfoAreas</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">5. <b>Custom Tablespace / Custom Data Class</b> - DBA
creates custom tablespaces and Basis data class entries must be transported</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">6. <b>InfoObject</b> <b>& InfoObject Catalogs</b> - only
object definition, no InfoSource or Rules</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">7. <b>DataSources</b> - replicate DataSources prior to
importing objects listed below</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">8. <b>InfoSources</b> - master data and text</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">9. <b>Data Targets for Transactional data</b> - InfoCubes
and ODSs (this can be grouped with the two following items</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">10. <b>InfoSource - Transaction Data ODS</b> - includes
Update Rules, Communication Structure, Transfer Rules, Transfer Structures,
InfoPackages</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">11. <b>InfoSource - Transaction Data InfoCubes</b> -
includes Update Rules, Communication Structure, Transfer Rules, Transfer
Structures, InfoPackages</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">12. <b>MultiCubes </b></span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">13. <b>Development Class</b> - for frontend objects</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">14. <b>InfoSet Queries</b> </span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">15. <b>End user security roles</b> </span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">16. <b>Variables Customer Exit code</b> </span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">17. <b>Workbooks / Queries/ Structures / Calculated Key
Figure / Restricted Key Figure</b></span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">18. <b>Workbook Folders</b> - needs to be transported
whenever new workbooks are created</span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">19. <b>Jump Targets </b></span></div>
<div class="MsoNormal" style="background: white; line-height: 13.0pt; margin-bottom: 7.5pt; margin-left: 0in; margin-right: 0in; margin-top: 7.5pt;">
<span style="color: black; mso-bidi-font-family: Arial;">20. <b>Process Chains</b> </span></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com2tag:blogger.com,1999:blog-6668557786081504415.post-30286067844205538902014-12-07T23:27:00.000-08:002014-12-07T23:27:10.079-08:00SAP BI Course <div dir="ltr" style="text-align: left;" trbidi="on">
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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-13587048751864510582013-11-23T21:28:00.002-08:002014-11-19T18:07:04.055-08:00Data Load Failures<div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
<div class="MsoNormal">
<span style="color: black; font-family: Arial; font-size: 10.0pt; mso-ansi-language: EN-US;">Some of the Real time question.</span></div>
<div class="MsoNormal">
<span style="color: black; font-family: Arial; font-size: 10.0pt; mso-ansi-language: EN-US;"><br />
Q) Under which menu path is the Test Workbench to be found, including in
earlier Releases?<br />
<br />
The menu path is: Tools - ABAP Workbench - Test - Test Workbench. <br />
<br />
Q) I want to delete a BEx query that is in Production system through request.
Is anyone aware about it?<br />
<br />
A) Have you tried the RSZDELETE transaction? <br />
<br />
Q) Errors while monitoring process chains.<br />
<br />
A) During data loading. Apart from them, in process chains you add so many
process types, for example after loading data into Info Cube, you rollup data
into aggregates, now this rolling up of data into aggregates is a process type
which you keep after the process type for loading data into Cube. This rolling
up into aggregates might fail. <br />
<br />
Another one is after you load data into ODS, you activate ODS data (another
process type) this might also fail. <br />
<br />
Q) In Monitor----- Details (Header/Status/Details) à Under Processing (data
packet): Everything OK à Context menu of Data Package 1 (1 Records): Everything
OK ---- Simulate update. (Here we can debug update rules or transfer rules.)<br />
<br />
SM50 à Program/Mode à Program à Debugging & debug this work process. </span></div>
<span style="mso-ansi-language: EN-US;">Q) PSA Cleansing.<br />
<br />
A) You know how to edit PSA. I don't think you can delete single records. You
have to delete entire PSA data for a request. <br />
<br />
Q) Can we make a datasource to support delta.<br />
<br />
A) If this is a custom (user-defined) datasource you can make the datasource
delta enabled. While creating datasource from RSO2, after entering datasource
name and pressing create, in the next screen there is one button at the top,
which says generic delta. If you want more details about this there is a
chapter in Extraction book, it's in last pages u find out.<br />
<br />
Generic delta services: - </span><br />
<span style="mso-ansi-language: EN-US;">Supports delta extraction for generic
extractors according to:<br />
<br />
Time stamp<br />
<br />
Calendar day<br />
<br />
Numeric pointer, such as document number & counter<br />
<br />
Only one of these attributes can be set as a delta attribute. </span><br />
<span style="mso-ansi-language: EN-US;">Delta extraction is supported for all
generic extractors, such as tables/views, SAP Query and function modules<br />
<br />
The delta queue (RSA7) allows you to monitor the current status of the delta
attribute </span><br />
<span style="mso-ansi-language: EN-US;"><br />
Q) Workbooks, as a general rule, should be transported with the role. <br />
<br />
Here are a couple of scenarios:<br />
<br />
1. If both the workbook and its role have been previously transported, then the
role does not need to be part of the transport.<br />
<br />
2. If the role exists in both dev and the target system but the workbook has
never been transported, and then you have a choice of transporting the role
(recommended) or just the workbook. If only the workbook is transported, then
an additional step will have to be taken after import: Locate the WorkbookID
via Table RSRWBINDEXT (in Dev and verify the same exists in the target system)
and proceed to manually add it to the role in the target system via Transaction
Code PFCG -- ALWAYS use control c/control v copy/paste for manually adding!<br />
<br />
3. If the role does not exist in the target system you should transport both
the role and workbook. Keep in mind that a workbook is an object unto itself and
has no dependencies on other objects. Thus, you do not receive an error message
from the transport of 'just a workbook' -- even though it may not be visible,
it will exist (verified via Table RSRWBINDEXT).<br />
<br />
Overall, as a general rule, you should transport roles with workbooks. </span><br />
<span style="mso-ansi-language: EN-US;"><br />
Q) How much time does it take to extract 1 million (10 lackhs) of records into
an infocube? <br />
<br />
A. This depends, if you have complex coding in update rules it will take longer
time, or else it will take less than 30 minutes. </span><br />
<span style="mso-ansi-language: EN-US;">Q) What are the five ASAP
Methodologies? <br />
<br />
A: Project plan, Business Blue print, Realization, Final preparation &
Go-Live - support. </span><br />
<span style="mso-ansi-language: EN-US;">1. Project Preparation: In this phase,
decision makers define clear project objectives and an efficient decision
making process (i.e. Discussions with the client, like what are his needs and
requirements etc.). Project managers will be involved in this phase (I guess).<br />
<br />
A Project Charter is issued and an implementation strategy is outlined in this
phase.<br />
<br />
2. Business Blueprint: It is a detailed documentation of your company's
requirements. (i.e. what are the objects we need to develop are modified
depending on the client's requirements).<br />
<br />
3. Realization: In this only, the implementation of the project takes place
(development of objects etc) and we are involved in the project from here only.<br />
<br />
4. Final Preparation: Final preparation before going live i.e. testing,
conducting pre-go-live, end user training etc.<br />
<br />
End user training is given that is in the client site you train them how to
work with the new environment, as they are new to the technology.<br />
<br />
5. Go-Live & support: The project has gone live and it is into production.
The Project team will be supporting the end users. </span><br />
<span style="mso-ansi-language: EN-US;">Q) What is landscape of R/3 & what
is landscape of BW. Landscape of R/3 not sure.<br />
<br />
Then Landscape of b/w: u have the development system, testing system,
production system<br />
<br />
Development system: All the implementation part is done in this sys. (I.e.,
Analysis of objects developing, modification etc) and from here the objects are
transported to the testing system, but before transporting an initial test
known as Unit testing (testing of objects) is done in the development sys.<br />
<br />
Testing/Quality system: quality check is done in this system and integration
testing is done.<br />
<br />
Production system: All the extraction part takes place in this sys. </span><br />
<span style="mso-ansi-language: EN-US;"><br />
Q) How do you measure the size of infocube? <br />
<br />
A: In no of records. </span><br />
<span style="mso-ansi-language: EN-US;">Q). Difference between infocube and
ODS? <br />
<br />
A: Infocube is structured as star schema (extended) where a fact table is
surrounded by different dim table that are linked with DIM'ids. And the data
wise, you will have aggregated data in the cubes. No overwrite functionality <br />
ODS is a flat structure (flat table) with no star schema concept and which will
have granular data (detailed level). Overwrite functionality. </span><br />
<span style="mso-ansi-language: EN-US;">Flat file datasources does not support
0recordmode in extraction.<br />
<br />
x before, -after, n new, a add, d delete, r reverse </span><br />
<span style="mso-ansi-language: EN-US;"><br />
Q) Difference between display attributes and navigational attributes? <br />
<br />
A: Display attribute is one, which is used only for display purpose in the
report. Where as navigational attribute is used for drilling down in the
report. We don't need to maintain Navigational attribute in the cube as a
characteristic (that is the advantage) to drill down. <br />
<br />
Q. SOME DATA IS UPLOADED TWICE INTO INFOCUBE. HOW TO CORRECT IT? <br />
A: But how is it possible? If you load it manually twice, then you can delete
it by requestID. </span><br />
<span style="mso-ansi-language: EN-US;">Q. CAN U ADD A NEW FIELD AT THE ODS
LEVEL? <br />
Sure you can. ODS is nothing but a table. </span><br />
<span style="mso-ansi-language: EN-US;">Q. CAN NUMBER OF DATASOURCES HAVE ONE
INFOSOURCE? <br />
A) Yes of course. For example, for loading text and hierarchies we use
different data sources but the same InfoSource. </span><br />
<span style="mso-ansi-language: EN-US;">Q. BRIEF THE DATAFLOW IN BW. <br />
A) Data flows from transactional system to analytical system (BW). DataSources
on the transactional system needs to be replicated on BW side and attached to
infosource and update rules respectively. </span><br />
<span style="mso-ansi-language: EN-US;">Q. CURRENCY CONVERSIONS CAN BE WRITTEN
IN UPDATE RULES. WHY NOT IN TRANSFER RULES? </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHAT IS PROCEDURE TO UPDATE DATA
INTO DATA TARGETS? <br />
FULL and DELTA. </span><br />
<span style="mso-ansi-language: EN-US;">Q) AS WE USE Sbwnn, sbiw1, sbiw2 for
delta update in LIS THEN WHAT IS THE PROCEDURE IN LO-COCKPIT? <br />
No LIS in LO cockpit. We will have datasources and can be maintained (append
fields). Refer white paper on LO-Cockpit extractions. </span><br />
<span style="mso-ansi-language: EN-US;">Q) Why we delete the setup tables
(LBWG) & fill them (OLI*BW)?<br />
<br />
A) Initially we don't delete the setup tables but when we do change in extract
structure we go for it. We r changing the extract structure right, that means
there are some newly added fields in that which r not before. So to get the
required data (i.e.; the data which is required is taken and to avoid
redundancy) we delete n then fill the setup tables. </span><br />
<span style="mso-ansi-language: EN-US;">To refresh the statistical data. The
extraction set up reads the dataset that you want to process such as, customers
orders with the tables like VBAK, VBAP) & fills the relevant communication
structure with the data. The data is stored in cluster tables from where it is
read when the initialization is run. It is important that during initialization
phase, no one generates or modifies application data, at least until the tables
can be set up. </span><br />
<span style="mso-ansi-language: EN-US;">Q) SIGNIFICANCE of ODS? <br />
It holds granular data (detailed level). </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHERE THE PSA DATA IS STORED? <br />
In PSA table. </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHAT IS DATA SIZE? <br />
The volume of data one data target holds (in no. of records) </span><br />
<span style="mso-ansi-language: EN-US;">Q) Different types of INFOCUBES. <br />
Basic, Virtual (remote, sap remote and multi) </span><br />
<span style="mso-ansi-language: EN-US;">Virtual Cube is used for example, if
you consider railways reservation all the information has to be updated online.
For designing the Virtual cube you have to write the function module that is
linking to table, Virtual cube it is like a the structure, when ever the table
is updated the virtual cube will fetch the data from table and display report
Online... FYI.. you will get the information : </span><span lang="EN-GB"><span style="mso-field-code: " HYPERLINK \0022https\:\/\/www\.sdn\.sap\.com\/sdn\/index\.sdn\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink"><span lang="EN-US" style="mso-ansi-language: EN-US;">https://www.sdn.sap.com/sdn/index.sdn</span></span></span></span><span style="mso-ansi-language: EN-US;"> and search for Designing Virtual Cube and you
will get a good material designing the Function Module </span><br />
<span style="mso-ansi-language: EN-US;">Q) INFOSET QUERY. <br />
Can be made of ODS's and Characteristic InfoObjects with masterdata. </span><br />
<span style="mso-ansi-language: EN-US;">Q) IF THERE ARE 2 DATASOURCES HOW MANY
TRANSFER STRUCTURES ARE THERE. <br />
In R/3 or in BW? 2 in R/3 and 2 in BW </span><br />
<span style="mso-ansi-language: EN-US;">Q) ROUTINES? <br />
Exist in the InfoObject, transfer routines, update routines and start routine </span><br />
<span style="mso-ansi-language: EN-US;">Q) BRIEF SOME STRUCTURES USED IN BEX. <br />
Rows and Columns, you can create structures. </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHAT ARE THE DIFFERENT VARIABLES
USED IN BEX? <br />
Different Variable's are Texts, Formulas, Hierarchies, Hierarchy nodes &
Characteristic values. </span><br />
<span style="mso-ansi-language: EN-US;">Variable Types are <br />
<br />
Manual entry /default value <br />
Replacement path <br />
SAP exit <br />
Customer exit <br />
Authorization </span><br />
<span style="mso-ansi-language: EN-US;">Q) HOW MANY LEVELS YOU CAN GO IN
REPORTING? <br />
You can drill down to any level by using Navigational attributes and jump
targets. </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHAT ARE INDEXES? <br />
Indexes are data base indexes, which help in retrieving data fastly. </span><br />
<span style="mso-ansi-language: EN-US;">Q) DIFFERENCE BETWEEN 2.1 AND 3.X
VERSIONS. <br />
Help! Refer documentation </span><br />
<span style="mso-ansi-language: EN-US;">Q) IS IT NESSESARY TO INITIALIZE EACH
TIME THE DELTA UPDATE IS USED? <br />
No. </span><br />
<span style="mso-ansi-language: EN-US;">Q) WHAT IS THE SIGNIFICANCE OF KPI'S? <br />
KPI's indicate the performance of a company. These are key figures </span><br />
<span style="mso-ansi-language: EN-US;">Q) AFTER THE DATA EXTRACTION WHAT IS
THE IMAGE POSITION. <br />
After image (correct me if I am wrong) </span><br />
<span style="mso-ansi-language: EN-US;">Q) REPORTING AND RESTRICTIONS. <br />
Help! Refer documentation. </span><br />
<span style="mso-ansi-language: EN-US;">Q) TOOLS USED FOR PERFORMANCE TUNING. <br />
ST22, Number ranges, delete indexes before load. Etc </span><br />
<span style="mso-ansi-language: EN-US;">Q) PROCESS CHAINS: IF U has USED IT
THEN HOW WILL U SCHEDULING DATA DAILY. <br />
There should be some tool to run the job daily (SM37 jobs) </span><br />
<span style="mso-ansi-language: EN-US;">Q) AUTHORIZATIONS. <br />
Profile generator </span><br />
<span style="mso-ansi-language: EN-US;">Q) WEB REPORTING. <br />
What are you expecting?? </span><br />
<span style="mso-ansi-language: EN-US;">Q) CAN CHARECTERSTIC INFOOBJECT CAN BE
INFOPROVIDER. <br />
Of course </span><br />
<span style="mso-ansi-language: EN-US;">Q) PROCEDURES OF REPORTING ON
MULTICUBES <br />
Refer help. What are you expecting? MultiCube works on Union condition </span><br />
<span style="mso-ansi-language: EN-US;">Q) EXPLAIN TRANPSORTATION OF OBJECTS? <br />
Dev---àQ and Dev-------àP</span><br />
<span style="mso-ansi-language: EN-US;">Q) What types of partitioning are
there for BW?<br />
<br />
There are two Partitioning Performance aspects for BW (Cube & PSA) <br />
Query Data Retrieval Performance Improvement: <br />
Partitioning by (say) Date Range improves data retrieval by making best use of
database </span><span lang="EN-GB"><span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink"><span lang="EN-US" style="mso-ansi-language: EN-US;">data range</span></span></span></span><span style="mso-ansi-language: EN-US;"> execution plans and indexes (of say Oracle
database engine). <br />
B) Transactional Load Partitioning Improvement: <br />
Partitioning based on expected load volumes and data element sizes. Improves
data loading into PSA and Cubes by infopackages (Eg. without timeouts). <br />
<br />
Q) How can I compare data in R/3 with data in a BW Cube after the daily delta
loads? Are there any standard procedures for checking them or matching the
number of records?<br />
<br />
A) You can go to R/3 TCode RSA3 and run the extractor. It will give you the
number of records extracted. Then go to BW Monitor to check the number of
records in the PSA and check to see if it is the same & also in the monitor
header tab. <br />
A) RSA3 is a simple extractor checker program that allows you to rule out
extracts problems in R/3. It is simple to use, but only really tells you if the
extractor works. Since records that get updated into Cubes/ODS structures are
controlled by Update Rules, you will not be able to determine what is in the
Cube compared to what is in the R/3 environment. You will need to compare
records on a 1:1 basis against records in R/3 transactions for the functional
area in question. I would recommend enlisting the help of the end user
community to assist since they presumably know the data. <br />
<br />
To use RSA3, go to it and enter the extractor ex: 2LIS_02_HDR. Click execute
and you will see the record count, you can also go to display that data. You
are not modifying anything so what you do in RSA3 has no effect on data quality
afterwards. However, it will not tell you how many records should be expected
in BW for a given load. You have that information in the monitor RSMO during
and after data loads. From RSMO for a given load you can determine how many
records were passed through the transfer rules from R/3, how many targets were
updated, and how many records passed through the Update Rules. It also gives
you error messages from the PSA. </span><br />
<span style="mso-ansi-language: EN-US;"><br />
Q) Types of Transfer Rules?<br />
<br />
</span><span lang="EN-GB">A) Field to Field mapping, Constant, Variable &
routine. </span><br />
<span lang="EN-GB">Q) Types of Update Rules?<br />
<br />
A) (Check box), Return table </span><br />
<span lang="EN-GB">Q) Transfer Routine?<br />
<br />
A) Routines, which we write in, transfer rules. </span><br />
<span lang="EN-GB">Q) Update Routine?<br />
<br />
A) Routines, which we write in Update rules </span><br />
<span lang="EN-GB">Q) What is the difference between writing a routine in
transfer rules and writing a routine in update rules?<br />
<br />
A) If you are using the same InfoSource to update data in more than one data
target its better u write in transfer rules because u can assign one InfoSource
to more than one data target & and what ever logic u write in update rules
it is specific to particular one data target. </span><br />
<span lang="EN-GB">Q) Routine with Return Table.<br />
<br />
A) Update rules generally only have one return value. However, you can create a
routine in the tab strip key figure calculation, by choosing checkbox Return
table. The corresponding key figure routine then no longer has a return value,
but a return table. You can then generate as many key figure values, as you
like from one data record. </span><br />
<span lang="EN-GB"><br />
Q) Start routines?<br />
<br />
A) Start routines u can write in both updates rules and transfer rules, suppose
you want to restrict (delete) some records based on conditions before getting
loaded into data targets, then you can specify this in update rules-start
routine. <br />
<br />
Ex: - Delete Data_Package ani ante it will delete a record based on the
condition </span><br />
<span lang="EN-GB"><br />
Q) X & Y Tables?<br />
<br />
X-table = A table to link material SIDs with SIDs for time-independent
navigation attributes.<br />
<br />
Y-table = A table to link material SIDs with SIDS for time-dependent navigation
attributes.<br />
<br />
There are four types of sid tables <br />
<br />
X time independent navigational attributes sid tables<br />
<br />
Y time dependent navigational attributes sid tables<br />
<br />
H hierarchy sid tables<br />
<br />
I hierarchy structure sid tables </span><br />
<span lang="EN-GB">Q) Filters & Restricted Key figures (real time example)<br />
<br />
Restricted KF's u can have for an SD cube: billed quantity, billing value, no:
of billing documents as RKF's. </span><br />
<span lang="EN-GB">Q) Line-Item Dimension (give me an real time example)<br />
<br />
Line-Item Dimension: Invoice no: or Doc no: is a real time example </span><br />
<span lang="EN-GB"><br />
Q) What does the number in the 'Total' column in Transaction RSA7 mean? <br />
<br />
A) The 'Total' column displays the number of LUWs that were written in the
delta queue and that have not yet been confirmed. The number includes the LUWs
of the last delta request (for repetition of a delta request) and the LUWs for
the next delta request. A LUW only disappears from the RSA7 display when it has
been transferred to the BW System and a new delta request has been received
from the BW System. </span><br />
<span lang="EN-GB">Q) How to know in which table (SAP BW) contains Technical
Name / Description and creation data of a particular Reports. Reports that are
created using BEx Analyzer.<br />
<br />
A) There is no such table in BW if you want to know such details while you are
opening a particular query press properties button you will come to know all
the details that you wanted.<br />
<br />
You will find your information about technical names and description about
queries in the following tables. Directory of all reports (Table RSRREPDIR) and
Directory of the reporting component elements (Table RSZELTDIR) for workbooks
and the connections to queries check Where- used list for reports in workbooks
(Table RSRWORKBOOK) Titles of Excel Workbooks in InfoCatalog (Table
RSRWBINDEXT) </span><br />
<span lang="EN-GB">Q) What is a LUW in the delta queue?<br />
<br />
A) A LUW from the point of view of the delta queue can be an individual
document, a group of documents from a collective run or a whole data packet of
an application extractor. </span><br />
<span lang="EN-GB">Q) Why does the number in the 'Total' column in the
overview screen of Transaction RSA7 differ from the number of data records that
is displayed when you call the detail view? <br />
<br />
A) The number on the overview screen corresponds to the total of LUWs (see also
first question) that were written to the qRFC queue and that have not yet been
confirmed. The detail screen displays the records contained in the LUWs. Both,
the records belonging to the previous delta request and the records that do not
meet the selection conditions of the preceding delta init requests are filtered
out. Thus, only the records that are ready for the next delta request are
displayed on the detail screen. In the detail screen of Transaction RSA7, a
possibly existing customer exit is not taken into account. </span><br />
<span lang="EN-GB">Q) Why does Transaction RSA7 still display LUWs on the
overview screen after successful delta loading? <br />
<br />
A) Only when a new delta has been requested does the source system learn that
the previous delta was successfully loaded to the BW System. Then, the LUWs of
the previous delta may be confirmed (and also deleted). In the meantime, the
LUWs must be kept for a possible delta request repetition. In particular, the
number on the overview screen does not change when the first delta was loaded
to the BW System. </span><br />
<span lang="EN-GB">Q) Why are selections not taken into account when the delta
queue is filled? <br />
<br />
A) Filtering according to selections takes place when the system reads from the
delta queue. This is necessary for reasons of performance. </span><br />
<span lang="EN-GB">Q) Why is there a DataSource with '0' records in RSA7 if
delta exists and has also been loaded successfully? <br />
<br />
It is most likely that this is a DataSource that does not send delta data to
the BW System via the delta queue but directly via the extractor (delta for
master data using ALE change pointers). Such a DataSource should not be
displayed in RSA7. This error is corrected with BW 2.0B Support Package 11. </span><br />
<span lang="EN-GB">Q) Do the entries in table ROIDOCPRMS have an impact on the
performance of the loading procedure from the delta queue? <br />
<br />
A) The impact is limited. If performance problems are related to the loading
process from the delta queue, then refer to the application-specific notes (for
example in the CO-PA area, in the logistics cockpit area and so on). <br />
<br />
Caution: As of Plug In 2000.2 patch 3 the entries in table ROIDOCPRMS are as
effective for the delta queue as for a full update. Please note, however, that
LUWs are not split during data loading for consistency reasons. This means that
when very large LUWs are written to the DeltaQueue, the actual package size may
differ considerably from the MAXSIZE and MAXLINES parameters. </span><br />
<span lang="EN-GB">Q) Why does it take so long to display the data in the
delta queue (for example approximately 2 hours)? <br />
<br />
A) With Plug In 2001.1 the display was changed: the user has the option of
defining the amount of data to be displayed, to restrict it, to selectively
choose the number of a data record, to make a distinction between the 'actual'
delta data and the data intended for repetition and so on. </span><br />
<span lang="EN-GB">Q) What is the purpose of function 'Delete data and meta
data in a queue' in RSA7? What exactly is deleted? <br />
<br />
A) You should act with extreme caution when you use the deletion function in
the delta queue. It is comparable to deleting an InitDelta in the BW System and
should preferably be executed there. You do not only delete all data of this
DataSource for the affected BW System, but also lose the entire information
concerning the delta initialization. Then you can only request new deltas after
another delta initialization. <br />
<br />
When you delete the data, the LUWs kept in the qRFC queue for the corresponding
target system are confirmed. Physical deletion only takes place in the qRFC
outbound queue if there are no more references to the LUWs. <br />
<br />
The deletion function is for example intended for a case where the BW System,
from which the delta initialization was originally executed, no longer exists
or can no longer be accessed. </span><br />
<span lang="EN-GB">Q) Why does it take so long to delete from the delta queue
(for example half a day)? <br />
<br />
A) Import PlugIn 2000.2 patch 3. With this patch the performance during
deletion is considerably improved. </span><br />
<span lang="EN-GB">Q) Why is the delta queue not updated when you start the V3
update in the logistics cockpit area? <br />
<br />
A) It is most likely that a delta initialization had not yet run or that the
delta initialization was not successful. A successful delta initialization (the
corresponding request must have QM status 'green' in the BW System) is a
prerequisite for the application data being written in the delta queue. </span><br />
<span lang="EN-GB">Q) What is the relationship between RSA7 and the qRFC
monitor (Transaction SMQ1)? <br />
<br />
A) The qRFC monitor basically displays the same data as RSA7. The internal
queue name must be used for selection on the initial screen of the qRFC
monitor. This is made up of the prefix 'BW, the client and the short name of
the DataSource. For DataSources whose name are 19 characters long or shorter,
the short name corresponds to the name of the DataSource. For DataSources whose
name is longer than 19 characters (for delta-capable DataSources only possible
as of PlugIn 2001.1) the short name is assigned in table ROOSSHORTN. <br />
<br />
In the qRFC monitor you cannot distinguish between repeatable and new LUWs.
Moreover, the data of a LUW is displayed in an unstructured manner there. </span><br />
<span lang="EN-GB">Q) Why are the data in the delta queue although the V3
update was not started? <br />
<br />
A) Data was posted in background. Then, the records are updated directly in the
delta queue (RSA7). This happens in particular during automatic goods receipt
posting (MRRS). There is no duplicate transfer of records to the BW system. See
Note 417189. </span><br />
<span lang="EN-GB">Q) Why does button 'Repeatable' on the RSA7 data details
screen not only show data loaded into BW during the last delta but also data
that were newly added, i.e. 'pure' delta records? <br />
<br />
A) Was programmed in a way that the request in repeat mode fetches both
actually repeatable (old) data and new data from the source system. </span><br />
<span lang="EN-GB">Q) I loaded several delta inits with various selections.
For which one is the delta loaded? <br />
<br />
A) For delta, all selections made via delta inits are summed up. This means, a
delta for the 'total' of all delta initializations is loaded. </span><br />
<span lang="EN-GB">Q) How many selections for delta inits are possible in the
system? <br />
<br />
A) With simple selections (intervals without complicated join conditions or
single values), you can make up to about 100 delta inits. It should not be
more. <br />
<br />
With complicated selection conditions, it should be only up to 10-20 delta
inits. <br />
<br />
Reason: With many selection conditions that are joined in a complicated way,
too many 'where' lines are generated in the generated ABAP source code that may
exceed the memory limit. </span><br />
<span lang="EN-GB">Q) I intend to copy the source system, i.e. make a client
copy. What will happen with may delta? Should I initialize again after that? <br />
<br />
A) Before you copy a source client or source system, make sure that your deltas
have been fetched from the DeltaQueue into BW and that no delta is pending.
After the client copy, an inconsistency might occur between BW delta tables and
the OLTP delta tables as described in Note 405943. After the client copy, Table
ROOSPRMSC will probably be empty in the OLTP since this table is
client-independent. After the system copy, the table will contain the entries
with the old logical system name that are no longer useful for further delta
loading from the new logical system. The delta must be initialized in any case
since delta depends on both the BW system and the source system. Even if no
dump 'MESSAGE_TYPE_X' occurs in BW when editing or creating an InfoPackage, you
should expect that the delta have to be initialized after the copy. </span><br />
<span lang="EN-GB">Q) Is it allowed in Transaction SMQ1 to use the functions
for manual control of processes? <br />
<br />
A) Use SMQ1 as an instrument for diagnosis and control only. Make changes to BW
queues only after informing the BW Support or only if this is explicitly
requested in a note for component 'BC-BW' or 'BW-WHM-SAPI'. </span><br />
<span lang="EN-GB">Q) Despite of the delta request being started after
completion of the collective run (V3 update), it does not contain all
documents. Only another delta request loads the missing documents into BW. What
is the cause for this "splitting"? <br />
<br />
A) The collective run submits the open V2 documents for processing to the task
handler, which processes them in one or several parallel update processes in an
asynchronous way. For this reason, plan a sufficiently large "safety time
window" between the end of the collective run in the source system and the
start of the delta request in BW. An alternative solution where this problem
does not occur is described in Note 505700. </span><br />
<span lang="EN-GB">Q) Despite my deleting the delta init, LUWs are still
written into the DeltaQueue? <br />
<br />
A) In general, delta initializations and deletions of delta inits should always
be carried out at a time when no posting takes place. Otherwise, buffer
problems may occur: If a user started the internal mode at a time when the
delta initialization was still active, he/she posts data into the queue even
though the initialization had been deleted in the meantime. This is the case in
your system. </span><br />
<span lang="EN-GB">Q) In SMQ1 (qRFC Monitor) I have status 'NOSEND'. In the
table TRFCQOUT, some entries have the status 'READY', others 'RECORDED'.
ARFCSSTATE is 'READ'. What do these statuses mean? Which values in the field
'Status' mean what and which values are correct and which are alarming? Are the
statuses BW-specific or generally valid in qRFC? <br />
<br />
A) Table TRFCQOUT and ARFCSSTATE: Status READ means that the record was read
once either in a delta request or in a repetition of the delta request.
However, this does not mean that the record has successfully reached the BW
yet. The status READY in the TRFCQOUT and RECORDED in the ARFCSSTATE means that
the record has been written into the DeltaQueue and will be loaded into the BW
with the next delta request or a repetition of a delta. In any case only the
statuses READ, READY and RECORDED in both tables are considered to be valid.
The status EXECUTED in TRFCQOUT can occur temporarily. It is set before
starting a DeltaExtraction for all records with status READ present at that
time. The records with status EXECUTED are usually deleted from the queue in
packages within a delta request directly after setting the status before
extracting a new delta. If you see such records, it means that either a process
which is confirming and deleting records which have been loaded into the BW is
successfully running at the moment, or, if the records remain in the table for
a longer period of time with status EXECUTED, it is likely that there are
problems with deleting the records which have already been successfully been
loaded into the BW. In this state, no more deltas are loaded into the BW. Every
other status is an indicator for an error or an inconsistency. NOSEND in SMQ1
means nothing (see note 378903). <br />
<br />
The value 'U' in field 'NOSEND' of table TRFCQOUT is discomforting. </span><br />
<span lang="EN-GB">Q) The extract structure was changed when the DeltaQueue
was empty. Afterwards new delta records were written to the DeltaQueue. When
loading the delta into the PSA, it shows that some fields were moved. The same
result occurs when the contents of the DeltaQueue are listed via the detail
display. Why are the data displayed differently? What can be done? <br />
<br />
Make sure that the change of the extract structure is also reflected in the
database and that all servers are synchronized. We recommend to reset the
buffers using Transaction $SYNC. If the extract structure change is not
communicated synchronously to the server where delta records are being created,
the records are written with the old structure until the new structure has been
generated. This may have disastrous consequences for the delta. <br />
<br />
When the problem occurs, the delta needs to be re-initialized. </span><br />
<span lang="EN-GB">Q) How and where can I control whether a repeat delta is
requested? <br />
<br />
A) Via the status of the last delta in the BW Request Monitor. If the request
is RED, the next load will be of type 'Repeat'. If you need to repeat the last
load for certain reasons, set the request in the monitor to red manually. For
the contents of the repeat see Question 14. Delta requests set to red despite
of data being already updated lead to duplicate records in a subsequent repeat,
if they have not been deleted from the data targets concerned before. </span><br />
<span lang="EN-GB">Q) As of PI 2003.1, the Logistic Cockpit offers various
types of update methods. Which update method is recommended in logistics?
According to which criteria should the decision be made? How can I choose an
update method in logistics? <br />
<br />
See the recommendation in Note 505700. </span><br />
<span lang="EN-GB">Q) Are there particular recommendations regarding the data
volume the DeltaQueue may grow to without facing the danger of a read failure
due to memory problems? <br />
<br />
A) There is no strict limit (except for the restricted number range of the
24-digit QCOUNT counter in the LUW management table - which is of no practical
importance, however - or the restrictions regarding the volume and number of
records in a database table). <br />
<br />
When estimating "smooth" limits, both the number of LUWs is important
and the average data volume per LUW. As a rule, we recommend to bundle data
(usually documents) already when writing to the DeltaQueue to keep number of
LUWs small (partly this can be set in the applications, e.g. in the Logistics
Cockpit). The data volume of a single LUW should not be considerably larger
than 10% of the memory available to the work process for data extraction (in a
32-bit architecture with a memory volume of about 1GByte per work process, 100
Mbytes per LUW should not be exceeded). That limit is of rather small practical
importance as well since a comparable limit already applies when writing to the
DeltaQueue. If the limit is observed, correct reading is guaranteed in most
cases. <br />
<br />
If the number of LUWs cannot be reduced by bundling application transactions,
you should at least make sure that the data are fetched from all connected BWs
as quickly as possible. But for other, BW-specific, reasons, the frequency
should not be higher than one DeltaRequest per hour. <br />
<br />
To avoid memory problems, a program-internal limit ensures that never more than
1 million LUWs are read and fetched from the database per DeltaRequest. If this
limit is reached within a request, the DeltaQueue must be emptied by several
successive DeltaRequests. We recommend, however, to try not to reach that limit
but trigger the fetching of data from the connected BWs already when the number
of LUWs reaches a 5-digit value. </span><br />
<span lang="EN-GB"><br />
Q) I would like to display the date the data was uploaded on the report.
Usually, we load the transactional data nightly. Is there any easy way to
include this information on the report for users? So that they know the
validity of the report. <br />
<br />
A) If I understand your requirement correctly, you want to display the date on
which data was loaded into the data target from which the report is being
executed. If it is so, configure your workbook to display the text elements in
the report. This displays the relevance of data field, which is the date on
which the data load has taken place. </span><br />
<span lang="EN-GB">Q) Can we filter the fields at Transfer Structure?<br />
<br />
Q) Can we load data directly into infoobject with out extraction is it
possible. <br />
<br />
Yes. We can copy from other infoobject if it is same. We load data from PSA if
it is already in PSA. </span><br />
<span lang="EN-GB">Q) HOW MANY DAYS CAN WE KEEP THE DATA IN PSA, IF WE R
SHEDULED DAILY, WEEKLY AND MONTHLY. <br />
<br />
a) We can set the time. </span><br />
<span lang="EN-GB">Q) HOW CAN U GET THE DATA FROM CLIENT IF U R WORKING ON
OFFSHORE PROJECTS. THROUGH WHICH NETWORK. <br />
<br />
a) VPN…………….Virtual Private Network, VPN is nothing but one sort of network
where we can connect to the client systems sitting in offshore through RAS
(Remote access server). </span><br />
<span lang="EN-GB">Q) HOW CAN U ANALIZE THE PROJECT AT FIRST? <br />
<br />
Prepare Project Plan and Environment <br />
Define Project Management Standards and <br />
<br />
Procedures <br />
Define Implementation Standards and Procedures<br />
<br />
Testing & Go-live + supporting. </span><br />
<span lang="EN-GB">Q) THERE is one ODS AND 4 INFOCUBES. WE SEND DATA AT TIME
TO ALL CUBES IF ONE CUBE GOT LOCK ERROR. HOW CAN U RECTIFY THE ERROR? <br />
<br />
Go to TCode sm66 then see which one is locked select that pid from there and
goto sm12 <br />
TCode then unlock it this is happened when lock errors are occurred when u
scheduled. </span><br />
<span lang="EN-GB">Q) Can anybody tell me how to add a navigational attribute
in the BEx report in the rows?<br />
<br />
A) Expand dimension under left side panel (that is infocube panel) select than
navigational attributes drag and drop under rows panel. </span><br />
<span lang="EN-GB">Q) IF ANY TRASACTION CODE LIKE SMPT OR STMT. <br />
<br />
In current systems (BW 3.0B and R/3 4.6B) these Tcodes don't exist! </span><br />
<span lang="EN-GB">Q) WHAT IS TRANSACTIONAL CUBE?<br />
<br />
A) Transactional InfoCubes differ from standard InfoCubes in that the former
have an improved write access performance level. Standard InfoCubes are
technically optimized for read-only access and for a comparatively small number
of simultaneous accesses. Instead, the transactional InfoCube was developed to
meet the demands of SAP Strategic Enterprise Management (SEM), meaning that,
data is written to the InfoCube (possibly by several users at the same time)
and re-read as soon as possible. Standard Basic cubes are not suitable for
this. </span><br />
<span lang="EN-GB">Q) Is there any way to delete cube contents within update
rules from an ODS data source? The reason for this would be to delete (or zero
out) a cube record in an "Open Order" cube if the open order quantity
was 0. <br />
I've tried using the 0recordmode but that doesn't work. Also, would it <br />
be easier to write a program that would be run after the load and delete <br />
the records with a zero open qty? <br />
<br />
A) START routine for update rules u can write ABAP code.<br />
<br />
A) Yap, you can do it. Create a start routine in Update rule. <br />
<br />
It is not "Deleting cube contents with update rules" It is only
possible to avoid that some content is updated into the InfoCube using the
start routine. Loop at all the records and delete the record that has the condition.
"If the open order quantity was 0" You have to think also in before
and after images in case of a delta upload. In that case you may delete the
change record and keep the old and after the change the wrong information. </span><br />
<span lang="EN-GB">Q) I am not able to access a node in hierarchy directly
using variables for reports. When I am using Tcode RSZV it is giving a message
that it doesn't exist in BW 3.0 and it is embedded in BEx. Can any one tell me
the other options to get the same functionality in BEx?<br />
<br />
A) Tcode RSZV is used in the earlier version of 3.0B only. From 3.0B onwards,
it's possible in the Query Designer (BEx) itself. Just right click on the
InfoObject for which you want to use as variables and precede further selecting
variable type and processing types. </span><br />
<span lang="EN-GB">Q) Wondering how can I get the values, for an example, if I
run a report for month range 01/2004 - 10/2004 then monthly value is actually
divide by the number of months that I selected. Which variable should I use? </span><br />
<span lang="EN-GB">Q) Why is it every time I switch from Info Provider to
InfoObject or from one item to another while in modeling I always get this
message " Reading Data " or "constructing workbench" in it
runs for minutes.... anyway to stop this? </span><br />
<span lang="EN-GB">Q) Can any one give me info on how the BW delta works also
would like to know about 'before image and after image' am currently in a BW
project and have to write start routines for delta load. </span><br />
<span lang="EN-GB">Q) I am very new to BW. I would like to clarify a doubt
regarding Delta extractor. If I am correct, by using delta extractors the data
that has already been scheduled will not be uploaded again. Say for a specific
scenario, Sales. Now I have uploaded all the sales order created till yesterday
into the cube. Now say I make changes to any of the open record, which was
already uploaded. Now what happens when I schedule it again? Will the same
record be uploaded again with the changes or will the changes get affected to
the previous record. <br />
<br />
A) </span><br />
<span lang="EN-GB">Q) In BW we need to write abap routines. I wish to know
when and what type of abap routines we got to write. Also, are these routines
written in update rules? I will be glad, if this is clarified with real-time
scenarios and few examples?<br />
<br />
A) Over here we write our routines in the start routines in the update rules or
in the transfer structure (you can choose between writing them in the start
routines or directly behind the different characteristics. In the transfer
structure you just click on the yellow triangle behind a characteristic and
choose "routine". In the update rules you can choose "start
routine" or click on the triangle with the green square behind an
individual characteristic. Usually we only use start routine when it does not
concern one single characteristic (for example when you have to read the same
table for 4 characteristics). I hope this helps. </span><br />
<span lang="EN-GB">We used ABAP Routines for example:<br />
<br />
To convert to Uppercase (transfer structure)<br />
<br />
To convert Values out of a third party tool with different keys into the same
keys as our SAP System uses (transfer structure)<br />
<br />
To select only a part of the data for from an infosource updating the InfoCube
(Start Routine) etc. </span><br />
<span lang="EN-GB">Q) What is ODS?<br />
<br />
A) An ODS object acts as a storage location for consolidated and cleaned-up
transaction data (transaction data or master data, for example) on the document
(atomic) level.<br />
<br />
This data can be evaluated using a BEx query.<br />
<br />
Standard ODS Object<br />
<br />
Transactional ODS object: <br />
<br />
The data is immediately available here for reporting. For implementation,
compare with the Transactional ODS Object.<br />
<br />
A transactional ODS object differs from a standard ODS object in the way it
prepares data. In a standard ODS object, data is stored in different versions
((new) delta, active, (change log) modified), where as a transactional ODS
object contains the data in a single version. Therefore, data is stored in
precisely the same form in which it was written to the transactional ODS object
by the application. In BW, you can use a transaction ODS object as a data
target for an analysis process.<br />
<br />
The transactional ODS object is also required by diverse applications, such as
SAP Strategic Enterprise Management (SEM) for example, as well as other
external applications.<br />
<br />
Transactional ODS objects allow data to be available quickly. The data from
this kind of ODS object is accessed transactionally, that is, data is written
to the ODS object (possibly by several users at the same time) and reread as
soon as possible. <br />
<br />
It offers no replacement for the standard ODS object. Instead, an additional
function displays those that can be used for special applications.<br />
<br />
The transactional ODS object simply consists of a table for active data. It
retrieves its data from external systems via fill- or delete- APIs. The loading
process is not supported by the BW system. The advantage to the way it is
structured is that data is easy to access. They are made available for
reporting immediately after being loaded. </span><br />
<span lang="EN-GB"><br />
Q) What does InfoCube contains?<br />
<br />
A) Each InfoCube has one FactTable & a maximum of 16 (13+3 system defined,
time, unit & data packet) dimensions. </span><br />
<span lang="EN-GB">Q) What does FACT Table contain?<br />
<br />
A FactTable consists of KeyFigures. </span><br />
<span lang="EN-GB">Each Fact Table can contain a maximum of 233 key figures.<br />
<br />
Dimension can contain up to 248 freely available characteristics. </span><br />
<span lang="EN-GB">Q) How many dimensions are in a CUBE?<br />
<br />
A) 16 dimensions. (13 user defined & 3 system pre-defined <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">time, unit & data packet</span></span>) </span><br />
<span lang="EN-GB">Q) What does SID Table contain?<br />
<br />
SID keys linked with dimension table & master data tables (attributes,
texts, hierarchies) </span><br />
<span lang="EN-GB">Q) What does ATTRIBUTE Table contain?<br />
<br />
Master attribute data </span><br />
<span lang="EN-GB">Q) What does TEXT Table contain?<br />
<br />
Master text data, short text, long text, medium text & language key if it
is language dependent </span><br />
<span lang="EN-GB">Q) What does Hierarchy table contain?<br />
<br />
Master hierarchy data </span><br />
<span lang="EN-GB">Q) What is the advantage of extended STAR Schema?<br />
<br />
Q). Differences between STAR Schema & Extended Schema?<br />
<br />
A) In STAR SCHEMA, A FACT Table in center, surrounded by dimensional tables and
the dimension tables contains of master data. In Extended Schema the dimension
tables does not contain master data, instead they are stored in Masterdata
tables divided into attributes, text & hierarchy. These Masterdata &
dimensional tables are linked with each other with SID keys. Masterdata tables
are independent of Infocube & reusability in other InfoCubes. </span><br />
<span lang="EN-GB"><br />
Q) As to where in BW do you go to add a character like a \; # so that BW will
accept it. This is transaction data which loads fine in the PSA but not the
data target.<br />
<br />
A) Check transaction SPRO ---Then click the "Goggles"-Button =>
Business <br />
<br />
Information Warehouse => Global Settings => 2nd point in the list. I <br />
<br />
hope you can use my "Guide" (my BW is in german, so i don't know all
the english descriptions). </span><br />
<span lang="EN-GB">Q) Does data packets exits even if you don't enter the
master data, (when created)? </span><br />
<span lang="EN-GB">Q) When are Dimension ID's created?<br />
<br />
A) When Transaction data is loaded into InfoCube. </span><br />
<span lang="EN-GB">Q) When are SID's generated?<br />
<br />
A) When Master data loaded into Master Tables (Attr, Text, Hierarchies). </span><br />
<span lang="EN-GB">Q) How would we delete the data in ODS?<br />
<br />
A) By request IDs, Selective deletion & change log entry deletion.</span><br />
<span lang="EN-GB">Q) How would we delete the data in change log table of ODS?<br />
<br />
A) Context menu of ODS → Manage → Environment → change log entries. </span><br />
<span lang="EN-GB">Q) What are the extra fields does PSA contain?<br />
<br />
A) (4) Record id, Data packet … </span><br />
<span lang="EN-GB"><br />
Q) Partitioning possible for ODS?<br />
<br />
A) No, It's possible only for Cube. </span><br />
<span lang="EN-GB">Q) Why partitioning?<br />
<br />
A) For performance tuning. </span><br />
<span lang="EN-GB">Q) Have you ever tried to load data from 2 InfoPackages
into one cube? <br />
<br />
A) Yes. </span><br />
<span lang="EN-GB">Q) Different types of Attributes?<br />
<br />
A) Navigational attribute, Display attributes, Time dependent attributes,
Compounding attributes, Transitive attributes, Currency attributes. </span><br />
<span lang="EN-GB">Q) Transitive Attributes?<br />
<br />
A) Navigational attributes having nav attr…these nav attrs are called
transitive attrs </span><br />
<span lang="EN-GB">Q) Navigational attribute?<br />
<br />
A) Are used for drill down reporting (RRI). </span><br />
<span lang="EN-GB">Q) Display attributes?<br />
<br />
A) You can show DISPLAY attributes in a report, which are used only for
displaying. </span><br />
<span lang="EN-GB">Q) How does u recognize an attribute whether it is a
display attribute or not?<br />
<br />
A) In Edit characteristics of char, on general tab checked as attribute only. </span><br />
<span lang="EN-GB">Q) Compounding attribute?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Time dependent attributes?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Currency attributes?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Authorization relevant object. Why authorization needed?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) How do we convert Master data InfoObject to a Data
target? <br />
A) InfoArea → Infoprovider (context menu) → Insert characteristic Data as
DataTarget. </span><br />
<span lang="EN-GB"><br />
Q) How do we load the data if a FlatFile consists of both Master and
Transaction data?<br />
<br />
A) Using Flexible update method while creating InfoSource. </span><br />
<span lang="EN-GB">Q) Steps in LIS are Extraction?<br />
<br />
A) </span><br />
<div style="margin-bottom: 12.0pt;">
<span lang="EN-GB">Q) Steps in LO are Extraction?<br />
<br />
A) * Maintain extract structures. (R/3)</span></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l14 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain DataSources. (R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l17 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Replicate DataSource in BW. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l15 level1 lfo3; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Assign InfoSources. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l25 level1 lfo4; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain communication
structures/transfer rules. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l23 level1 lfo5; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain InfoCubes & Update
rules. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l12 level1 lfo6; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Activate extract structures.
(R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l21 level1 lfo7; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Delete setup tables/setup
extraction. (R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l4 level1 lfo8; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">InfoPackage for the Delta
initialization. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l1 level1 lfo9; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Set-up periodic V3 update.
(R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l13 level1 lfo10; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">InfoPackage for Delta uploads. </span></li>
</ul>
<span lang="EN-GB">Q) Steps in FlatFile Extraction?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Different types in LO's?<br />
<br />
A) Direct Delta, Queued Delta, Serialized V3 update, Unserialized V3 Update.<br />
<br />
Direct Delta: - With every document posted in R/3, the extraction data is
transferred directly into the BW delta queue. Each document posting with delta
extraction becomes exactly one LUW in the corresponding Delta queue. </span><br />
<span lang="EN-GB">Queued Delta: - The extraction data from the application is
collected in extraction queue instead of as update data and can be transferred
to the BW delta queue by an update collection run, as in the V3 update.</span><br />
<div style="margin-bottom: 12.0pt;">
<span lang="EN-GB"><br />
Q) What does LO Cockpit contain?<br />
<br />
A) * Maintaining Extract structure.</span></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l3 level1 lfo11; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintaining DataSources. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l16 level1 lfo12; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Activating Updates. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l19 level1 lfo13; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Controlling Updates. </span></li>
</ul>
<span lang="EN-GB">Q) RSA6 --- Maintain DataSources. </span><br />
<span lang="EN-GB">Q) RSA7 ---- Delta Queue (allows you to monitor the current
status of the delta attribute) </span><br />
<span lang="EN-GB">Q) RSA3 ---- Extract checker. </span><br />
<span lang="EN-GB">Q) LBW0 --- TCode for LIS. </span><br />
<span lang="EN-GB">Q) LBWG --- Delete set-up tables in LO's. </span><br />
<span lang="EN-GB">Q) OLI*BW --- Fill Set-up tables. </span><br />
<span lang="EN-GB">Q) LBWE ---- TCode for Logistics extractors. </span><br />
<span lang="EN-GB">Q) RSO2 --- Maintaining Generic DataSources. </span><br />
<span lang="EN-GB">Q) MC21 </span><br />
<div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-GB" style="color: black; font-family: Arial; font-size: 10.0pt;">
<hr align="center" size="2" width="100%" />
</span></div>
<div class="MsoNormal">
<span lang="EN-GB" style="color: black; font-family: Arial; font-size: 10.0pt;">Creating user-defined Information Structure for LIS (It is
InfoSource in SAP BW). </span></div>
<span lang="EN-GB">Q) MC24 ---- Creating Updating rules for LO's. </span><br />
<span lang="EN-GB">Q) PFCG ---- Role maintenance, assign users to these roles.
</span><br />
<span lang="EN-GB">Q) SE03 -- Changeability of the BW namespace. </span><br />
<span lang="EN-GB">Q) RSDCUBEM --- For Delete, Change or Delete the InfoCube. </span><br />
<span lang="EN-GB">Q) RSD5 -- Data packet characteristics maint. </span><br />
<span lang="EN-GB">Q) RSDBC - DB Connect </span><br />
<span lang="EN-GB">Q) RSMO --- Monitoring of Dataloads. </span><br />
<span lang="EN-GB">Q) RSCUSTV6 -- Partitioning of PSA. </span><br />
<span lang="EN-GB">Q) RSRT -- Query monitor. </span><br />
<span lang="EN-GB">Q) RSRV - Analysis and Repair of BW Objects </span><br />
<span lang="EN-GB">Q) RRMX - BEx Analyzer </span><br />
<span lang="EN-GB">Q) RSBBS - Report to Report interface (RRI). </span><br />
<span lang="EN-GB">Q) SPRO -- IMG (To make configurations in BW). </span><br />
<span lang="EN-GB">Q) RSDDV - Maintaining Aggregates. </span><br />
<span lang="EN-GB">Q) RSKC -- Character permit checker. </span><br />
<span lang="EN-GB">Q) ST22 - Checking ShortDump. </span><br />
<span lang="EN-GB">Q) SM37 - Scheduling Background jobs. </span><br />
<span lang="EN-GB">Q) RSBOH1 -- Open Hub Service: Create InfoSpoke. </span><br />
<span lang="EN-GB">Q) RSMONMESS -- "Messages for the monitor" table.
</span><br />
<span lang="EN-GB">Q) ROOSOURCE - Table to find out delta update methods. </span><br />
<span lang="EN-GB">Q) RODELTAM - Finding for modes of records (i.e. before
image & after image)<br />
<br />
Q) SMOD - Definition <br />
<br />
Q) CMOD - Project Management enhancing<br />
<br />
Q) SPAU - Program Compare <br />
<br />
Q) SE11 - ABAP Dictionary<br />
<br />
Q) SE09 - Transport Organizer (workbench organizer)<br />
<br />
Q) SE10 - Transport Organizer (Extended View)<br />
<br />
Q) SBIW - Implementation guide </span><br />
<span lang="EN-GB">Q) Statistical Update?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What are Process Chains?<br />
<br />
A) TCode is RSPC, is a sequence of processes scheduled in the background &
waiting to be triggered by a specific event. Process chains nothing but
grouping processes. Process variant (start variant) is the place the process
chain knows where to start.<br />
<br />
There should be min and max one start variant in each process chain, here we
specify when should the process chain start by giving date and time or if you
want to start immediately<br />
<br />
Some of theses processes trigger an event of their own that in-turn triggers
other processes. </span><br />
<span lang="EN-GB">Ex: - Start chain → Delete BCube indexes → Load data from
the source system to PSA →<br />
<br />
Load data from PSA to DataTarget ODS → Load data from ODS to BCube → Create
Indexes for BCube after loading data → Create database statistics → Roll-Up
data into the aggregate → Restart chain from beginning. </span><br />
<span lang="EN-GB">Q) What are Process Types & Process variant?<br />
<br />
A) Process types are General services, Load Process & subsequent
processing, Data Target Administration, Reporting agent & Other BW
services. </span><br />
<span lang="EN-GB">Process variant (start variant) is the place the process
type knows when & where to start. </span><br />
<span lang="EN-GB"><br />
Q) Difference between MasterData & Transaction InfoPackage?<br />
<br />
A) 5 tabs in Masterdata & 6 tabs in Transaction data, the extra tab in
Transaction data is DATA TARGETS. </span><br />
<span lang="EN-GB">Q) Types of Updates?<br />
<br />
A) Full Update, Init Delta Update & Delta Update. </span><br />
<span lang="EN-GB">Q) For Full update possible while loading data from R/3?<br />
<br />
A) InfoPackage → Scheduler → Repair Request flag (check).<br />
<br />
This is only possible when we use MM & SD modules. </span><br />
<span lang="EN-GB">Q) InfoPackage groups?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Explain the status of records in Active & change log
tables in ODS when modified in source system?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Why it takes more time while loading the transaction
data even to load the transaction without master data (we check the checkbox,
Always Update data, even if no master data exits for the data)?<br />
<br />
A) Because while loading the data it has to create SID keys for transaction
data. </span><br />
<span lang="EN-GB">Q) For what we use HIDE fields, SELECT fields &
CANCELLATION fields?<br />
<br />
A) Selection fields-- The only purpose is when we check this column, the field
will appear in InfoPackage Data selection tab.<br />
<br />
Hide fields -- These fields are not transferred to BW transfer structure.<br />
<br />
Cancellation - It will reverse the posted documents of keyfigures of customer
defined by multiplying it with -1...and nullifying the value.<br />
<br />
I think this is reverse posting </span><br />
<span lang="EN-GB">Q) Transporting.<br />
<br />
A) When it comes to transporting for R/3 and BW, u should always transport all
the R/3 Objects first………once you transport all the R/3 objects to the 2nd
system, you have to replicate the datasources into the 2nd BW system…and then
transport BW objects.<br />
<br />
First you will transport all the datasources from 1st R/3 system to 2nd R/3
System. Second, you will replicate the datasources from 2nd R/3 system into 2nd
BW system. Third, you will transport all the BW Objects from 1st BW system to
2nd BW system. </span><br />
<span lang="EN-GB">You have to send your extractors first to the corresponding
R/3 Q Box and replicate that to BW. Then you have to do this transport in BW. </span><br />
<span lang="EN-GB">Development, testing and then production </span><br />
<span lang="EN-GB">Q) Functionality of InitDelta & Delta Updates?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What is Change-run ID?<br />
<br />
A) </span><br />
<span lang="EN-GB"><br />
Q) Currency conversions?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Difference between Calculated KeyFigure & Formula?<br />
<br />
A) </span><br />
<span lang="EN-GB"><br />
Q) When does a transfer structure contain more fields than the communication
structure of an InfoSource?<br />
<br />
A) If we use a routine to enhance a field in the communication from several
fields in the transfer structure, the communication structure may contain more
fields.<br />
<br />
A) The total no of InfoObjects in the communication structure & Extract
structure may be different, since InfoObjects can be copied to the
communication structure from all the extract structures. </span><br />
<span lang="EN-GB">Q) What is the PSA, technical name of PSA, Uses?<br />
<br />
A) When we want to delete the data in InfoProvider & again want to re-load
the data, at this stage we can directly load from PSA not going to extract from
R/3.<br />
<br />
A) For cleansing purpose. </span><br />
<span lang="EN-GB">Q) Variables in Reporting?<br />
<br />
A) Characteristics values, Text, Hierarchies, Hierarchy nodes & Formula
elements, </span><br />
<span lang="EN-GB">Q) Variable processing types in Reporting?<br />
<br />
A) Manual, Replacement path, SAP Exit, Authorizations, Customer Exit </span><br />
<span lang="EN-GB">Q) Why we use this RSRP0001 Enhancement?<br />
<br />
A) For enhancing the Customer Exit in reporting. </span><br />
<span lang="EN-GB">Q) What is the use of Filters?<br />
<br />
A) It Restricts Data. </span><br />
<span lang="EN-GB">Q) What is the use of Conditioning?<br />
<br />
A) To retrieve data based on particular conditions like less than, greater
than, less than or equal etc., </span><br />
<span lang="EN-GB">Q) Difference between Filters & Conditioning?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What is NODIM?<br />
<br />
A) For example it converts 5lts + 5kgs = 10. </span><br />
<span lang="EN-GB">Q) What for Exception's? How can I get PINK color?<br />
<br />
A) To differentiate values with colors, by adding relevant colors u can get
pink. </span><br />
<span lang="EN-GB">Q) Why SAPLRSAP is used?<br />
<br />
A) We use these function modules for enhancing in r/3. </span><br />
<span lang="EN-GB">Q) What are workbooks & uses?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Where are workbooks saved?<br />
<br />
A) Workbooks are saved in favorites. </span><br />
<span lang="EN-GB">Q) Can Favorites accessed by other users?<br />
<br />
A) No, they need authorization. </span><br />
<span lang="EN-GB">Q) What is InfoSet?<br />
<br />
A) An InfoSet is a special view of a dataset, such as logical database, table
join, table, and sequential file, and is used by SAP Query as a source data.
InfoSets determine the tables or fields in these tables that can be referenced
by a report. In most cases, InfoSets are based on logical databases.<br />
<br />
SAP Query includes a component for maintaining InfoSets. When you create an
InfoSet, a DataSource in an application system is selected. </span><br />
<span lang="EN-GB">Navigating in a BW to an InfoSet Query, using one or more
ODS objects or InfoObjects.<br />
<br />
You can also drill-through to BEx queries and InfoSet Queries from a second BW
system, that is<br />
<br />
Connected as a data mart. </span><br />
<span lang="EN-GB">_The InfoSet Query functions allow you to report using flat
data tables (master data reporting).<br />
<br />
Choose InfoObjects or ODS objects as data sources. These can be connected using
joins.<br />
<br />
__You define the data sources in an InfoSet. An InfoSet can contain data from
one or more tables that are connected to one another by key fields.<br />
<br />
__The data sources specified in the InfoSet form the basis of the InfoSet
Query. </span><br />
<span lang="EN-GB">Q) LO's?<br />
<br />
A)<br />
<br />
Synchronous update (V1 update)<br />
<br />
Statistics update is carried out at the same time as the document update in the
same task.<br />
<br />
· Asynchronous update (V2 update)<br />
<br />
Document update and the statistics update take place separately in different
tasks.<br />
<br />
· Collective update (V3 update)<br />
<br />
Again, document update is separate from the statistics update. However, in
contrast to the V2 update, the V3 collective statistics update must be
scheduled as a job. </span><br />
<span lang="EN-GB"><br />
Successfully scheduling the update will ensure that all the necessary
information<br />
<br />
Structures are properly updated when new or existing documents are processed.<br />
<br />
Scheduling intervals should be based on the amount of activity on a particular
OLTP<br />
<br />
system. For example, a development system with a relatively low or no volume of
new documents may only need to run the V3 update on a weekly basis. A full
production environment, with hundreds of transactions per hour may have to be
updated every 15 to 30 minutes.<br />
<br />
SAP standard background job scheduling functionality may be used in order to
schedule the V3 updates successfully. It is possible to verify that all V3
updates are successfully completed via transaction SM13. This transaction will
take you to the “UPDATE RECORDS: MAIN MENU” screen. At this screen, enter
asterisk as your user (for all users), flag the radio button 'All' and hit
enter. Any outstanding V3 updates will be listed. While a non-executed V3
update will not hinder your OLTP system, by administering the V3 update jobs
properly, your information structures will be current and overall performance
will be improved.<br />
<br />
COMPENDIT MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE<br />
<br />
INFORMATION CONTAINED IN THE DOCUMENTS AND RELATED GRAPHICS PUBLISHED ON THIS
SERVER FOR ANY PURPOSE. ALL SUCH DOCUMENTS AND RELATED GRAPHICS ARE PROVIDED
"AS IS" WITHOUT WARRANTY HAVE ANY KIND. </span><br />
<span lang="EN-GB"><br />
Business Content </span><br />
<span lang="EN-GB">Business Content is the umbrella term for the preconfigured
BW objects delivered by SAP. These objects provide ready-made solutions to
basic business information requirements and are used to accelerate the
implementation of a BW. </span><br />
<span lang="EN-GB">Business Content includes:<br />
<br />
R/3 extractor programs, DataSources,</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>InfoObjects, InfoSources, InfoCubes, Queries,
Roles, and Workbooks. </span><br />
<span lang="EN-GB">From the Grouping menu, choose the additional Business
Content objects that you want to include. </span><br />
<span lang="EN-GB">Groupings gather together all of the objects from a single area:
</span><br />
<span lang="EN-GB">Only Necessary Objects: Only those additional objects that
are needed to</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>activate the objects that you
have selected are included (minimum selection). </span><br />
<span lang="EN-GB">In Data Flow Before: All the objects that pass data on to
another object are</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>collected. </span><br />
<span lang="EN-GB">In Data Flow Afterwards: All the objects that receive data
from another</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>object are collected. </span><br />
<span lang="EN-GB">In Data Flow Before and Afterwards: All the objects that
both deliver and</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>receive data are<br />
<br />
collected. </span><br />
<span lang="EN-GB">Backup for System Copy: You use this setting to collect
some of the objects</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>into a transport<br />
<br />
request. This request can be added again after a system copy has been made. </span><br />
<span lang="EN-GB"><br />
Q) I found 0fiscyear has no master data table, and 0fiscper has master data
table t009. Does anyone know how the system gets the data for these 2 info
objects?<br />
<br />
A) From context menu of source system à transfer global settings, based on
FISCVARNT you can take data for 0FISCYEAR and 0FISCPER </span><br />
<span lang="EN-GB"><br />
Q) I am facing an odd problem in my dev box. I am using 0FIAP_O03 to load
0FIAP_C03 (InfoSource 0FI_AP_4 loads the ODS). I have loaded the ODS with R/3
data without any problem. I saw the data in New Data table and then after
activation I am able to see the data in Active Data table and Change Log table.
Now, when I want to do the delta initialization in the cube using ODS data, the
request fails miserably. In fact, all the update rules are active between ODS
and cube and all of them are one to one mappings (not even a single ABAP
routine in UpdateRules). If the cube and the corresponding update rules are
active and the data loads immaculately perfect until ODS, why would the load
from ODS to cube fail? (There are no lock entries in the system). Does anyone
have any idea?<br />
<br />
A) You must have a Job Log in SM37. If not the job was never started. </span><br />
<span lang="EN-GB">Q) I have checked up sm37, the job shows as complete! But
the request status under InfoCube à manage à request tab is still showing
yellow. Assuming a false status, I have checked for the data in the cube. Nope.
No data there either. Do you have any clue why would the job log show as
complete, where as no data appears in the cube? Regarding the export datasource
issue, I have tried that too before posting the question. In fact, why would
you want to go with export datasource when you would have already created an
export datasource by creating update rules between ODS and cube! Sorry for the
silly question, but any help in this regard is highly appreciated.<br />
<br />
A) Hi, Maybe you have to do a 'Generate Export Datasource' by right-click on
the ODS. </span><br />
<span lang="EN-GB"><br />
Q) Actually I'm trying to create a simple standard, <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">order -Flat data</span></span> ODS, while I tried activating
it in Info provider- RSA1, it gets saved but not getting activated, throws up
error. I'm working on BW-3.1version; I enabled only BEx report in Settings. The
errors are<br />
<br />
1. I couldn't find the 0RECORDMODE object. BW Delta process: updatemode object
in the left hand side KF or Char Info objects. So, I tried to insert the
0RECORDMODE object on the right hand side, to Data fields folder, it shows the
object while trying to find 0RECORDMODE in INSERT INFOOBJECTS options <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">on right click at Data Fields Folder</span></span>, But once
I enter this object, said continue, it didn't add to the DATA FILED Folder side
along with my keyfigures.<br />
<br />
2 Could not write in to the output device T'- Error: So, I just tried to
activate the ODS object I'm getting the error 'could not write in to the output
device T' in status bar. Also the status is inactive. What could be the error? </span><br />
<span lang="EN-GB"><br />
Q) I need to populate the results of my query into another InfoCube. Any ideas
on how I should go about this? </span><br />
<span lang="EN-GB">Q) For the current project I am looking at, they have 2
major companies in their Group. Both companies are on different clients in R3.
Their configuration and system setup is different in R3. Is it advisable to
separate their BW systems to 2 different clients as well? Or is it recommended
to actually fit both in one? What's the best practice? </span><br />
<span lang="EN-GB"><br />
Q) I am creating a CO-PA datasource. I successfully set the business content
datasources into active versions in R/3. Then, I try to create CO-PA datasource
for Transaction data using KEB0. However, I cannot see any value fields.... you
know all the VVOCO and those things. <br />
<br />
Characteristics from Segment Item and Line model and others including
Calculated Key <br />
<br />
figures are available fine, except the value fields. Is there any way I can set
to make value fields available? </span><br />
<span lang="EN-GB"><br />
Q) While executing the query it generally takes the default name of the excel
sheet as BOOK1, BOOK2, but My client wants that the default name should be the
same name as query name.<br />
<br />
A) Embed the query in a workbook saved as the name of the query and have your
client open the workbook as opposed to the query. </span><br />
<span lang="EN-GB">Q) Considering that I have in this infocube 6 dimensions,
30 characteristics and 20 key figures, do you see any simply any way to make my
upload process easier? Do you think that the server will support that amount of
data? Or which considerations should I add to make sure that this upload
process would run? </span><br />
<span lang="EN-GB">Q) We need to find the table in which query and variable
assignments are stored. We must read this table in a user-exit to get which
variables are used in a query.<br />
<br />
A) Check out tables RSZELTDIR and RSZCOMPDIR for query BEx elements. I found
this info on one of the previous posting, variable table, RSZGLOBV, query table
- get query id from table RSRREPDIR (field RSRREPDIR-COMPUID), use this id for
table start with RSZEL* When 'ZFISPER1' name of the variable when VNAM =
'ZVC_FY1' - characteristics.<br />
<br />
Step 1 - before selection<br />
<br />
Step 2 - after selection <br />
<br />
Step 3 - processed all variable at the same time </span><br />
<span lang="EN-GB">Q) Actually the ODS has data till date (09 Dec) which is
coming from 2 datasources, but the infocube has data upto 8 November only as we
have deleted few requests because there was mismatch of notification complaints
encountered during reporting. So we tried to update the data thru "Update
ODS Data in data target" by selecting the delta update option, we are getting
an error message called "Delta update for ZUODEC02 (ODS) is
invalidated". Please let me know the solution to come out this problem.
Can we go for Initialize delta update again for cube? </span><br />
<span lang="EN-GB"><br />
Q) How is the display of USD in currency controlled to be seen as USD or $?<br />
<br />
A) You can control Currency display with the following customizing point. In BW
customizing<br />
<br />
BW Customizing Implementation Guide à Reporting-relevant Settings à General
Reporting Settings à Set Alternative Currency Display<br />
<br />
In this table, you can specify the symbol or string you want to use.<br />
<br />
If this table is empty USD, the symbol used in BEx restitution is $. </span><br />
<span lang="EN-GB"><br />
Q) Deleting Data from PSA?<br />
<br />
A) Context menu PSA and delete data or context menu à Edit several requests
delete the required request and in reconstruction tab of cube manage delete
request. </span><br />
<span lang="EN-GB">Q) If u update data from ODS to data target. System will
generate InfoSource with one prefix name?<br />
<br />
A) It will generate with prefix name starting with 8 along with InfoSource
name. </span><br />
<span lang="EN-GB">Q) How to check physically about data load?<br />
<br />
A) At the bottom while updating. tRFC8 ani naming convention tho executing
avuthu untundhi -- just have a look when u update from ODS. </span><br />
<span lang="EN-GB">Q) What is an aggregate?<br />
<br />
A) Aggregates are small or baby cubes. A subset of InfoCube.<br />
<br />
Flat Aggregate --when u have more than 15 characteristics for aggregate system
will generate that aggregate as flat aggregate to increase performance. </span><br />
<span lang="EN-GB">Roll-up--when the data is loaded for second time into cube,
we have to roll-up to make that data available in aggregate. </span><br />
<span lang="EN-GB">Q) X & Y Tables?<br />
<br />
A) X-tables and Y-tables only have primary key.<br />
<br />
X-table (SID- key relationship plus SID columns per time-independent
navigational attribute) or a Y-table (SID- key relationship. Timestamp, SID
columns per time-dependent navigational attribute) </span><br />
<span lang="EN-GB">Q) Routine with Return Table<br />
<br />
A) Update rules generally only have one return value. However, you can create a
routine in the tab strip key figure calculation, by choosing Return table. The
corresponding key figure routine then no longer has a return value, but a
return table. You can then generate as many key figure values, as you like from
one data record.<br />
<br />
In the routine editor, you will find the calculated characteristic values in
the structure ICUBE_VALUES. Change these values accordingly (in the above
example: Employee), fill the field for the relevant key figure (in the above
example: Sales revenue), and use this to fill the return table RESULT_TABLE </span><br />
<span lang="EN-GB"><br />
Q) What is Line-Item Data, in which scenario u use line item dimension?<br />
<br />
A) A line item dimension in a fact table does not have the dimension table, it
connects directly with the SID table at its sole characteristic. When there is
only one characteristic in a dimension, it will eliminate the dimension table.
Fact table directly linked to the SID table. </span><br />
<span lang="EN-GB">Compressing InfoCubes<br />
<br />
Use<br />
<br />
When you load data into the InfoCube, entire requests can be inserted at the
same time. Each of these requests has its own request ID, which is included in
the fact table in the packet dimension. This makes it possible to pay
particular attention to individual requests. One advantage of the request ID
concept is that you can subsequently delete complete requests from the
InfoCube. However, the request ID concept can also cause the same data record
(all characteristics agree, with the exception of the request ID) to appear
more than once in the fact table. This unnecessarily increases the volume of
data, and reduces performance in Reporting, as the system has to aggregate
using the request ID every time you execute a query. Using compressing, you can
eliminate these disadvantages, and bring data from different requests together
into one single request (request ID 0).<br />
<br />
This function is critical, as the compressed data can no longer be deleted from
the InfoCube using its request IDs. You must be absolutely certain that the
data loaded into the InfoCube is correct. </span><br />
<span lang="EN-GB">Functions </span><br />
<span lang="EN-GB">You can choose request IDs and release them to be
compressed. You can schedule the function immediately or in the background, and
link it to other events.<br />
<br />
Compressing one request takes approx. 2.5 ms per data record. With
non-cumulative InfoCubes, compression has an additional effect on query
performance. Also, the marker for non-cumulatives in non-cumulative InfoCubes
is updated. This means that, on the whole, less data is read for a
non-cumulative query, and the reply time is therefore reduced. If you run the
compression for a non-cumulative InfoCube, the summarization time (including
the time to update the markers) will be about 5 ms per data record. If you are
using an Oracle database as your BW database, you can also carry out a report
using the relevant InfoCube while the compression is running. With other
manufacturers' databases, you will see a warning if you try to carry out a
report using an InfoCube while the compression is running. In this case you can
only report on the relevant InfoCube when the compression has finished running.
If you want to avoid the InfoCube containing entries whose key figures are zero
values (in reverse posting for example) you can run a zero-elimination at the
same time as the compression. In this case, the entries, where all the key
figures are equal to 0, are deleted from the fact table.<br />
<br />
Zero-elimination is permitted only for InfoCubes, where exclusively key figures
with the aggregation behavior 'SUM' appear. You are not permitted to run a
zero-elimination with non-cumulative values in particular. </span><br />
<span lang="EN-GB">Activities<br />
<br />
For performance reasons, and to save space on the memory, summarize a request
as soon as you have established that it is correct, and is no longer to be
removed from the InfoCube. </span><br />
<span lang="EN-GB">Q) You can convert currencies at 2 places?<br />
<br />
A) One is at update rule level & one at the front-end (reports lo) </span><br />
<span lang="EN-GB"><br />
Q) You can create infospokes only on 4 objects.<br />
<br />
A) ODS, InfoCubes (Master data attributes and texts) & not on hierarchies
and multiproviders. </span><br />
<span lang="EN-GB">I mean for data offloading from BW to excel. Not only into
excel but also to application server and also to database tables. </span><br />
<span lang="EN-GB">Q) If you use process chains, you can <br />
<br />
Automate the complex schedules in BW with the help of <br />
<br />
Event-controlled processing, <br />
<br />
Visualize the schedule by using network applications and<br />
<br />
Centrally control and monitor the processes. </span><br />
<span lang="EN-GB">Q) Transportation <br />
<br />
For BEx you can have only one transport request. There should always be one
transport open if you want to create or edit queries. All the queries which u
create or edit are assigned to this request. Suppose there is no open request,
then you cannot edit or create any queries<br />
<br />
Once you have some queries in a request and you want to transport then you can
release this one and immediately create a new one so that u can again create or
change queries. </span><br />
<span lang="EN-GB"><br />
Q) Our is a SAP-BW with a non-sap source system. Everyday for client
information we usually check the data loading thru' monitor. Is there any ways
so that I can connect our mail-server to it & get automatic e-mails from BW
server about every time after the transaction data is loaded?<br />
<br />
A) Go to SBWP Tcode there u have set for getting automatic mails. </span><br />
<span lang="EN-GB">A) Write a transfer routine for the infoObjects to extend
the length of the data type. </span><br />
<span lang="EN-GB"><br />
Q) How can we stop loading data into infocube?<br />
<br />
A) First you have to find out what is the job name from the monitor screen for
this load<br />
<br />
monitor screen lo Header Tabstrip lo untadhi. SM37 (job monitoring) in r/3
select this job and from the menu u can delete the job. There are some options,
just check them out in sm37 and also u have to delete the request in BW.
Cancellation is not suggestible for delta load. </span><br />
<span lang="EN-GB">Q) If the Ship to address is changed, will it trigger delta
for the 2LIS_11_VAITM extractor?<br />
<br />
A) I suppose you are talking of changing the “Ship to” address information in
the Ship to master data. That has nothing to do with Transactional Data.
Therefore no delta will be in the 2LIS_11_VAITM extractors.<br />
<br />
Address is changed for ShipTo on the sales order document (not Master data) and
this address is saved in ADRC table. </span><br />
<span lang="EN-GB">Q) How to reset the data mart status in the ODS. Which
transaction is used for resetting the status?<br />
<br />
A) Go to the ODS and from context menu, Manage Reset the Data Mart Status
(third column). If necessary restart the load from the DM which at InfoSource =
"8ODS-Name" using Update Tab" Initialize Delta Process"
Initial Load without Data Transfer" after resetting the Data Mart Status. </span><br />
<span lang="EN-GB">Q) We are facing a problem with authorizations for BPS. We
have a large number of agents that need to enter plan data via a layout. In
order to simplify the control of the necessary authorizations, we would like to
filter via something similar to a user exit using a function module in order to
avoid having to define authorization objects for each of the agents who have
access to the systems. Right now, we are not sure if there is user exit concept
available as it is for BW variables. <br />
<br />
A) In BPS, you can use user specific variables or you can set up a Variable of
type exit. <br />
<br />
You can also have a variable of type authorization which uses the security /
authorization of the BW system. </span><br />
<span lang="EN-GB">Q) Here are the steps for Process chain <br />
<br />
A) Call transaction RSPC <br />
<br />
Create a process chain with the start process; herein you can > schedule
> your whole Process chain (at once, by an event, by day, and so on) Call
the icon "process types" > within the process types: <br />
<br />
Call the infopackage you need to load the data from the source > system to
> ODS > <br />
<br />
Activate the ODS à Update the ODS into the InfoCube à Rollup the data from the
InfoCube to the aggregate the connection between the steps from 2 until 7 are
connected by à EVENTS; you à can create events by pressing the right mouse
click down from the à predecessor à process to the successor process; the
system asks you à independent from à error, only by error, only by
success". In such a way you can create the process chain </span><br />
<span lang="EN-GB">Copying Process chains, there is a way to copy process
chain. In the RSPC view, open the desired process chain to be copied. Type COPY
in the transaction-calling field on left top of the screen. The process chain
will be copied then. However, I am using BW 3.1C. Perhaps this works in 3.0 as
well. </span><br />
<span lang="EN-GB">Q) I want to add the ADNR (address number) of the ship-to
party to the standard extractor in LBWE. We have ONE-Time ship-to recipients
and we want to be able to report on the STATE of the recipient rather than the
state of the sold-to. I just wanted verification that I might be going in the
right direction.. In order to add this field could I add the ADNR to the
include MCPARTUSR section of the MCPARTNER structure? (And hopefully those
fields would then be available in any of the MCVBAK, MCVBAP Communication
structures...?) Or add an additional append ZMCPART, and then populate the
field with a user exit during the extraction process. Or I could add it
directly to the MCVBAK in a "Z". Append (?). Then populate the field
with a user exit during the extraction process. Has anyone attempted something
like this before? Is that what I need to do to get it into the communication
structures for LBWE the logistic cockpit to use it? Haven't seen many posts or
documentation that talks about specifics. Saw a bunch on master data
augmentation, but not on the transaction extractors<br />
<br />
A) We ultimately did add a few fields to the structure, and then populated them
with a user exit. Every document is associated with an ADDR, so why not give
the 0DOCUMENT an attribute called ADDR or a full set of attributes that include
addresses. Then build an infoset on R/3 to populate the 0DOCUMENT object
directly with addresses. Treat the addr as "master" data of the
0document object rather than part of the transactional data. I THINK it would
work but am not certain yet. </span><br />
<span lang="EN-GB">Q) Can any body know how to create datamarts for Masterdata
characteristics? Here for example I have two master data characteristics like
0Mat_plant and Zmatplt in the same BW system. Now I want to upload the data
from 0Mat_plant to Zmat_plant using the delta enabled infopackage. <br />
<br />
A) Datamarts are a functionality of an ODS you need one extraction program
created by the ODS to make the upload into the data target) and not a
functionality from Master data tables. Therefore create one ODS for jour object
“like 0Mat_plant” </span><br />
<span lang="EN-GB">Q) To check the version of particular infoobject in table
RSDIOBJ </span><br />
<span style="mso-ansi-language: EN-US;">Q) I have a break on one document
between R/3 and BW. The document does exist in BSEG, but is missing from BW.
All the other documents that were posted during that time were extracted by BW
except this one. What could be the reason?<br />
<br />
A) The record may be missing because of any logic in update rules or transfer
rules logic. I mean to say that there may be any filter on that particular
record in Update or transfer rules. First check whether the record exist in
RSA3. Then check in PSA whether that record is in BW or not. Then check the
update rules. </span><br />
<span style="mso-ansi-language: EN-US;">Q) What's the difference between R3
drill down reporting and BW reporting?<br />
<br />
These two reporting seem to function similarly with slice and dice. If they
function similarly, then that means we don't have to implement BW, just use R3
Drill down reporting tool, am I right?<br />
<br />
A) The major benefits of reporting with BW over R/3 are in terms of performance
and analysis.<br />
<br />
1. Performance -- Heavy reporting along with regular OLTP transactions can
produce a lot of load both on the R/3 and the database (cpu, memory, disks,
etc). Just take a look at the load put on your system during a month end,
quarter end, or year-end -- now imagine that occurring even more frequently.<br />
<br />
2. Data analysis -- BW uses a Data Warehouse and OLAP concepts for storing and
analyzing data, where R/3 was designed for transaction processing. With a lot
of work you can get the same analysis out of R/3 but most likely would be
easier from a BW</span><br />
<span style="font-family: "Times New Roman"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: DE;"><br clear="all" style="page-break-before: always;" />
</span>
<div class="MsoNormal">
<span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;">Check these questions? </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<br />
<span class="postbody1">1. What are the extractor types? </span><br />
<span class="postbody1">• Application Specific </span><br />
<span class="postbody1">o BW Content FI, HR, CO, SAP CRM, LO Cockpit </span><br />
<span class="postbody1">o Customer-Generated Extractors </span><br />
<span class="postbody1">LIS, FI-SL, CO-PA </span><br />
<span class="postbody1">• Cross Application (Generic Extractors) </span><br />
<span class="postbody1">o DB View, InfoSet, Function Module </span><br />
<br />
<span class="postbody1">2. What are the steps involved in LO Extraction? </span><br />
<span class="postbody1">• The steps are: </span><br />
<span class="postbody1">o RSA5 Select the DataSources </span><br />
<span class="postbody1">o LBWE Maintain DataSources and Activate Extract
Structures </span><br />
<span class="postbody1">o LBWG Delete Setup Tables </span><br />
<span class="postbody1">o 0LI*BW Setup tables </span><br />
<span class="postbody1">o RSA3 Check extraction and the data in Setup tables </span><br />
<span class="postbody1">o LBWQ Check the extraction queue </span><br />
<span class="postbody1">o LBWF Log for LO Extract Structures </span><br />
<span class="postbody1">o RSA7 BW Delta Queue Monitor </span><br />
<br />
<span class="postbody1">3. How to create a connection with LIS InfoStructures? </span><br />
<span class="postbody1">• LBW0 Connecting LIS InfoStructures to BW </span><br />
<br />
<span class="postbody1">4. What is the difference between ODS and InfoCube and </span><br />
<span class="postbody1">MultiProvider? </span><br />
<span class="postbody1">• ODS: Provides granular data, allows overwrite and data
is </span><br />
<span class="postbody1">in transparent tables, ideal for drilldown and RRI. </span><br />
<span class="postbody1">• CUBE: Follows the star schema, we can only append data,
</span><br />
<span class="postbody1">ideal for primary reporting. </span><br />
<span class="postbody1">• MultiProvider: Does not have physical data. It allows
to </span><br />
<span class="postbody1">access data from different InfoProviders (Cube, ODS, </span><br />
<span class="postbody1">InfoObject). It is also preferred for reporting. </span><br />
<br />
<span class="postbody1">5. What are Start routines, Transfer routines and Update </span><br />
<span class="postbody1">routines? </span><br />
<span class="postbody1">• Start Routines: The start routine is run for each </span><br />
<span class="postbody1">DataPackage after the data has been written to the PSA
and </span><br />
<span class="postbody1">before the transfer rules have been executed. It allows </span><br />
<span class="postbody1">complex computations for a key figure or a
characteristic. </span><br />
<span class="postbody1">It has no return value. Its purpose is to execute </span><br />
<span class="postbody1">preliminary calculations and to store them in global </span><br />
<span class="postbody1">DataStructures. This structure or table can be accessed
in </span><br />
<span class="postbody1">the other routines. The entire DataPackage in the
transfer </span><br />
<span class="postbody1">structure format is used as a parameter for the routine. </span><br />
<span class="postbody1">• Transfer / Update Routines: They are defined at the </span><br />
<span class="postbody1">InfoObject level. It is like the Start Routine. It is </span><br />
<span class="postbody1">independent of the DataSource. We can use this to define </span><br />
<span class="postbody1">Global Data and Global Checks. </span><br />
<br />
<span class="postbody1">6. What is the difference between start routine and
update </span><br />
<span class="postbody1">routine, when, how and why are they called? </span><br />
<span class="postbody1">• Start routine can be used to access InfoPackage while </span><br />
<span class="postbody1">update routines are used while updating the Data Targets.
</span><br />
<br />
<span class="postbody1">7. What is the table that is used in start routines? </span><br />
<span class="postbody1">• Always the table structure will be the structure of an </span><br />
<span class="postbody1">ODS or InfoCube. For example if it is an ODS then active </span><br />
<span class="postbody1">table structure will be the table. </span><br />
<br />
<span class="postbody1">8. Explain how you used Start routines in your project? </span><br />
<span class="postbody1">• Start routines are used for mass processing of records.
</span><br />
<span class="postbody1">In start routine all the records of DataPackage is </span><br />
<span class="postbody1">available for processing. So we can process all these </span><br />
<span class="postbody1">records together in start routine. In one of scenario, we
</span><br />
<span class="postbody1">wanted to apply size % to the forecast data. For example
if </span><br />
<span class="postbody1">material M1 is forecasted to say 100 in May. Then after </span><br />
<span class="postbody1">applying size %(Small 20%, Medium 40%, Large 20%, Extra </span><br />
<span class="postbody1">Large 20%), we wanted to have 4 records against one
single </span><br />
<span class="postbody1">record that is coming in the info package. This is
achieved </span><br />
<span class="postbody1">in start routine. </span><br />
<br />
<span class="postbody1">9. What are Return Tables? </span><br />
<span class="postbody1">• When we want to return multiple records, instead of </span><br />
<span class="postbody1">single value, we use the return table in the Update </span><br />
<span class="postbody1">Routine. Example: If we have total telephone expense for
a </span><br />
<span class="postbody1">Cost Center, using a return table we can get expense per </span><br />
<span class="postbody1">employee. </span><br />
<br />
<span class="postbody1">10. How do start routine and return table synchronize
with </span><br />
<span class="postbody1">each other? </span><br />
<span class="postbody1">• Return table is used to return the Value following the </span><br />
<span class="postbody1">execution of start routine </span><br />
<br />
<span class="postbody1">11. What is the difference between V1, V2 and V3 updates?
</span><br />
<span class="postbody1">• V1 Update: It is a Synchronous update. Here the </span><br />
<span class="postbody1">Statistics update is carried out at the same time as the </span><br />
<span class="postbody1">document update (in the application tables). </span><br />
<span class="postbody1">• V2 Update: It is an Asynchronous update. Statistics </span><br />
<span class="postbody1">update and the Document update take place as different </span><br />
<span class="postbody1">tasks. </span><br />
<span class="postbody1">o V1 & V2 don’t need scheduling. </span><br />
<span class="postbody1">• Serialized V3 Update: The V3 collective update must be </span><br />
<span class="postbody1">scheduled as a job (via LBWE). Here, document data is </span><br />
<span class="postbody1">collected in the order it was created and transferred
into </span><br />
<span class="postbody1">the BW as a batch job. The transfer sequence may not be
the </span><br />
<span class="postbody1">same as the order in which the data was created in all </span><br />
<span class="postbody1">scenarios. V3 update only processes the update data that
is </span><br />
<span class="postbody1">successfully processed with the V2 update. </span><br />
<br />
<span class="postbody1">12. What is compression? </span><br />
<span class="postbody1">• It is a process used to delete the Request IDs and this
</span><br />
<span class="postbody1">saves space. </span><br />
<br />
<span class="postbody1">13. What is Rollup? </span><br />
<span class="postbody1">• This is used to load new DataPackages (requests) into
the </span><br />
<span class="postbody1">InfoCube aggregates. If we have not performed a rollup
then </span><br />
<span class="postbody1">the new InfoCube data will not be available while
reporting </span><br />
<span class="postbody1">on the aggregate. </span><br />
<br />
<span class="postbody1">14. What is table partitioning and what are the benefits
of </span><br />
<span class="postbody1">partitioning in an InfoCube? </span><br />
<span class="postbody1">• It is the method of dividing a table which would enable
a </span><br />
<span class="postbody1">quick reference. SAP uses fact file partitioning to
improve </span><br />
<span class="postbody1">performance. We can partition only at 0CALMONTH or </span><br />
<span class="postbody1">0FISCPER. Table partitioning helps to run the report faster
</span><br />
<span class="postbody1">as data is stored in the relevant partitions. Also table </span><br />
<span class="postbody1">maintenance becomes easier. Oracle, Informix, IBM DB2/390
</span><br />
<span class="postbody1">supports table partitioning while SAP DB, Microsoft SQL </span><br />
<span class="postbody1">Server, IBM DB2/400 do not support table portioning. </span><br />
<br />
<span class="postbody1">15. How many extra partitions are created and why? </span><br />
<span class="postbody1">• Two partitions are created for date before the begin
date </span><br />
<span class="postbody1">and after the end date. </span><br />
<br />
<span class="postbody1">16. What are the options available in transfer rule? </span><br />
<span class="postbody1">• InfoObject </span><br />
<span class="postbody1">• Constant </span><br />
<span class="postbody1">• Routine </span><br />
<span class="postbody1">• Formula </span><br />
<br />
<span class="postbody1">17. How would you optimize the dimensions? </span><br />
<span class="postbody1">• We should define as many dimensions as possible and we </span><br />
<span class="postbody1">have to take care that no single dimension crosses more </span><br />
<span class="postbody1">than 20% of the fact table size. </span><br />
<br />
<span class="postbody1">18. What are Conversion Routines for units and currencies
</span><br />
<span class="postbody1">in the update rule? </span><br />
<span class="postbody1">• Using this option we can write ABAP code for Units / </span><br />
<span class="postbody1">Currencies conversion. If we enable this flag then unit
of </span><br />
<span class="postbody1">Key Figure appears in the ABAP code as an additional </span><br />
<span class="postbody1">parameter. For example, we can convert units in Pounds to
</span><br />
<span class="postbody1">Kilos. </span><br />
<br />
<span class="postbody1">19. Can an InfoObject be an InfoProvider, how and why? </span><br />
<span class="postbody1">• Yes, when we want to report on Characteristics or
Master </span><br />
<span class="postbody1">Data. We have to right click on the InfoArea and </span><br />
<span class="postbody1">select “Insert characteristic as data target”. For
example, </span><br />
<span class="postbody1">we can make 0CUSTOMER as an InfoProvider and report on
it. </span><br />
<br />
<span class="postbody1">20. What is Open Hub Service? </span><br />
<span class="postbody1">• The Open Hub Service enables us to distribute data from
</span><br />
<span class="postbody1">an SAP BW system into external Data Marts, analytical </span><br />
<span class="postbody1">applications, and other applications. We can ensure </span><br />
<span class="postbody1">controlled distribution using several systems. The
central </span><br />
<span class="postbody1">object for exporting data is the InfoSpoke. We can define
</span><br />
<span class="postbody1">the source and the target object for the data. BW becomes
a </span><br />
<span class="postbody1">hub of an enterprise data warehouse. The distribution of </span><br />
<span class="postbody1">data becomes clear through central monitoring from the </span><br />
<span class="postbody1">distribution status in the BW system. </span><br />
<br />
<span class="postbody1">21. How do you transform Open Hub Data? </span><br />
<span class="postbody1">• Using BADI we can transform Open Hub Data according to </span><br />
<span class="postbody1">the destination requirement. </span><br />
<br />
<span class="postbody1">22. What is ODS? </span><br />
<span class="postbody1">• Operational DataSource is used for detailed storage of </span><br />
<span class="postbody1">data. We can overwrite data in the ODS. The data is
stored </span><br />
<span class="postbody1">in transparent tables. </span><br />
<br />
<span class="postbody1">23. What are BW Statistics and what is its use? </span><br />
<span class="postbody1">• They are group of Business Content InfoCubes which are </span><br />
<span class="postbody1">used to measure performance for Query and Load
Monitoring. </span><br />
<span class="postbody1">It also shows the usage of aggregates, OLAP and Warehouse
</span><br />
<span class="postbody1">management. </span><br />
<br />
<span class="postbody1">24. What are the steps to extract data from R/3? </span><br />
<span class="postbody1">• Replicate DataSources </span><br />
<span class="postbody1">• Assign InfoSources </span><br />
<span class="postbody1">• Maintain Communication Structure and Transfer rules </span><br />
<span class="postbody1">• Create and InfoPackage </span><br />
<span class="postbody1">• Load Data </span><br />
<br />
<span class="postbody1">25. What are the delta options available when you load
from </span><br />
<span class="postbody1">flat file? </span><br />
<span class="postbody1">• The 3 options for Delta Management with Flat Files: </span><br />
<span class="postbody1">o Full Upload </span><br />
<span class="postbody1">o New Status for Changed records (ODS Object only) </span><br />
<span class="postbody1">o Additive Delta (ODS Object & InfoCube) </span><br />
<span class="postbody1">Q) Under which menu path is the Test Workbench to be
found, </span><br />
<span class="postbody1">including in earlier Releases? </span><br />
<br />
<span class="postbody1">The menu path is: Tools - ABAP Workbench - Test - Test </span><br />
<span class="postbody1">Workbench. </span><br />
<br />
<span class="postbody1">Q) I want to delete a BEx query that is in Production </span><br />
<span class="postbody1">system through request. Is anyone aware about it? </span><br />
<br />
<span class="postbody1">A) Have you tried the RSZDELETE transaction? </span><br />
<br />
<span class="postbody1">Q) Errors while monitoring process chains. </span><br />
<br />
<span class="postbody1">A) During data loading. Apart from them, in process
chains </span><br />
<span class="postbody1">you add so many process types, for example after loading </span><br />
<span class="postbody1">data into Info Cube, you rollup data into aggregates, now
</span><br />
<span class="postbody1">this rolling up of data into aggregates is a process type
</span><br />
<span class="postbody1">which you keep after the process type for loading data
into </span><br />
<span class="postbody1">Cube. This rolling up into aggregates might fail. </span><br />
<br />
<span class="postbody1">Another one is after you load data into ODS, you activate
</span><br />
<span class="postbody1">ODS data (another process type) this might also fail. </span><br />
<br />
<span class="postbody1">Q) In Monitor----- Details (Header/Status/Details) à
Under </span><br />
<span class="postbody1">Processing (data packet): Everything OK à Context menu of
</span><br />
<span class="postbody1">Data Package 1 (1 Records): Everything OK ---- Simulate </span><br />
<span class="postbody1">update. (Here we can debug update rules or transfer
rules.) </span><br />
<br />
<span class="postbody1">SM50 à Program/Mode à Program à Debugging & debug
this work </span><br />
<span class="postbody1">process. </span><br />
<br />
<br />
<span class="postbody1">Q) PSA Cleansing. </span><br />
<br />
<span class="postbody1">A) You know how to edit PSA. I don't think you can delete
</span><br />
<span class="postbody1">single records. You have to delete entire PSA data for a </span><br />
<span class="postbody1">request. </span><br />
<br />
<span class="postbody1">Q) Can we make a datasource to support delta. </span><br />
<br />
<span class="postbody1">A) If this is a custom (user-defined) datasource you can </span><br />
<span class="postbody1">make the datasource delta enabled. While creating </span><br />
<span class="postbody1">datasource from RSO2, after entering datasource name and </span><br />
<span class="postbody1">pressing create, in the next screen there is one button
at </span><br />
<span class="postbody1">the top, which says generic delta. If you want more
details </span><br />
<span class="postbody1">about this there is a chapter in Extraction book, it's in
</span><br />
<span class="postbody1">last pages u find out. </span><br />
<br />
<span class="postbody1">Generic delta services: - </span><br />
<br />
<br />
<span class="postbody1">Supports delta extraction for generic extractors
according </span><br />
<span class="postbody1">to: </span><br />
<br />
<span class="postbody1">Time stamp </span><br />
<br />
<span class="postbody1">Calendar day </span><br />
<br />
<span class="postbody1">Numeric pointer, such as document number & counter </span><br />
<br />
<span class="postbody1">Only one of these attributes can be set as a delta </span><br />
<span class="postbody1">attribute. </span><br />
<br />
<br />
<span class="postbody1">Delta extraction is supported for all generic extractors,
</span><br />
<span class="postbody1">such as tables/views, SAP Query and function modules </span><br />
<br />
<span class="postbody1">The delta queue (RSA7) allows you to monitor the current </span><br />
<span class="postbody1">status of the delta attribute </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Workbooks, as a general rule, should be transported
with </span><br />
<span class="postbody1">the role. </span><br />
<br />
<span class="postbody1">Here are a couple of scenarios: </span><br />
<br />
<span class="postbody1">1. If both the workbook and its role have been previously
</span><br />
<span class="postbody1">transported, then the role does not need to be part of
the </span><br />
<span class="postbody1">transport. </span><br />
<br />
<span class="postbody1">2. If the role exists in both dev and the target system
but </span><br />
<span class="postbody1">the workbook has never been transported, and then you
have </span><br />
<span class="postbody1">a choice of transporting the role (recommended) or just
the </span><br />
<span class="postbody1">workbook. If only the workbook is transported, then an </span><br />
<span class="postbody1">additional step will have to be taken after import:
Locate </span><br />
<span class="postbody1">the WorkbookID via Table RSRWBINDEXT (in Dev and verify
the </span><br />
<span class="postbody1">same exists in the target system) and proceed to manually
</span><br />
<span class="postbody1">add it to the role in the target system via Transaction </span><br />
<span class="postbody1">Code PFCG -- ALWAYS use control c/control v copy/paste
for </span><br />
<span class="postbody1">manually adding! </span><br />
<br />
<span class="postbody1">3. If the role does not exist in the target system you </span><br />
<span class="postbody1">should transport both the role and workbook. Keep in mind
</span><br />
<span class="postbody1">that a workbook is an object unto itself and has no </span><br />
<span class="postbody1">dependencies on other objects. Thus, you do not receive
an </span><br />
<span class="postbody1">error message from the transport of 'just a workbook' -- </span><br />
<span class="postbody1">even though it may not be visible, it will exist
(verified </span><br />
<span class="postbody1">via Table RSRWBINDEXT). </span><br />
<br />
<span class="postbody1">Overall, as a general rule, you should transport roles with
</span><br />
<span class="postbody1">workbooks. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) How much time does it take to extract 1 million (10 </span><br />
<span class="postbody1">lackhs) of records into an infocube? </span><br />
<br />
<span class="postbody1">A. This depends, if you have complex coding in update
rules </span><br />
<span class="postbody1">it will take longer time, or else it will take less than
30 </span><br />
<span class="postbody1">minutes. </span><br />
<br />
<br />
<span class="postbody1">Q) What are the five ASAP Methodologies? </span><br />
<br />
<span class="postbody1">A: Project plan, Business Blue print, Realization, Final </span><br />
<span class="postbody1">preparation & Go-Live - support. </span><br />
<br />
<br />
<span class="postbody1">1. Project Preparation: In this phase, decision makers </span><br />
<span class="postbody1">define clear project objectives and an efficient decision
</span><br />
<span class="postbody1">making process (i.e. Discussions with the client, like
what </span><br />
<span class="postbody1">are his needs and requirements etc.). Project managers
will </span><br />
<span class="postbody1">be involved in this phase (I guess). </span><br />
<br />
<span class="postbody1">A Project Charter is issued and an implementation
strategy </span><br />
<span class="postbody1">is outlined in this phase. </span><br />
<br />
<span class="postbody1">2. Business Blueprint: It is a detailed documentation of </span><br />
<span class="postbody1">your company's requirements. (i.e. what are the objects
we </span><br />
<span class="postbody1">need to develop are modified depending on the client's </span><br />
<span class="postbody1">requirements). </span><br />
<br />
<span class="postbody1">3. Realization: In this only, the implementation of the </span><br />
<span class="postbody1">project takes place (development of objects etc) and we
are </span><br />
<span class="postbody1">involved in the project from here only. </span><br />
<br />
<span class="postbody1">4. Final Preparation: Final preparation before going live
</span><br />
<span class="postbody1">i.e. testing, conducting pre-go-live, end user training
etc. </span><br />
<br />
<span class="postbody1">End user training is given that is in the client site you
</span><br />
<span class="postbody1">train them how to work with the new environment, as they </span><br />
<span class="postbody1">are new to the technology. </span><br />
<br />
<span class="postbody1">5. Go-Live & support: The project has gone live and
it is </span><br />
<span class="postbody1">into production. The Project team will be supporting the </span><br />
<span class="postbody1">end users. </span><br />
<br />
<br />
<span class="postbody1">Q) What is landscape of R/3 & what is landscape of
BW. </span><br />
<span class="postbody1">Landscape of R/3 not sure. </span><br />
<br />
<span class="postbody1">Then Landscape of b/w: u have the development system, </span><br />
<span class="postbody1">testing system, production system </span><br />
<br />
<span class="postbody1">Development system: All the implementation part is done
in </span><br />
<span class="postbody1">this sys. (I.e., Analysis of objects developing, </span><br />
<span class="postbody1">modification etc) and from here the objects are
transported </span><br />
<span class="postbody1">to the testing system, but before transporting an initial
</span><br />
<span class="postbody1">test known as Unit testing (testing of objects) is done
in </span><br />
<span class="postbody1">the development sys. </span><br />
<br />
<span class="postbody1">Testing/Quality system: quality check is done in this </span><br />
<span class="postbody1">system and integration testing is done. </span><br />
<br />
<span class="postbody1">Production system: All the extraction part takes place in
</span><br />
<span class="postbody1">this sys. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) How do you measure the size of infocube? </span><br />
<br />
<span class="postbody1">A: In no of records. </span><br />
<br />
<br />
<span class="postbody1">Q). Difference between infocube and ODS? </span><br />
<br />
<span class="postbody1">A: Infocube is structured as star schema (extended) where
a </span><br />
<span class="postbody1">fact table is surrounded by different dim table that are </span><br />
<span class="postbody1">linked with DIM'ids. And the data wise, you will have </span><br />
<span class="postbody1">aggregated data in the cubes. No overwrite functionality </span><br />
<span class="postbody1">ODS is a flat structure (flat table) with no star schema </span><br />
<span class="postbody1">concept and which will have granular data (detailed
level). </span><br />
<span class="postbody1">Overwrite functionality. </span><br />
<br />
<br />
<span class="postbody1">Flat file datasources does not support 0recordmode in </span><br />
<span class="postbody1">extraction. </span><br />
<br />
<span class="postbody1">x before, -after, n new, a add, d delete, r reverse </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Difference between display attributes and navigational
</span><br />
<span class="postbody1">attributes? </span><br />
<br />
<span class="postbody1">A: Display attribute is one, which is used only for
display </span><br />
<span class="postbody1">purpose in the report. Where as navigational attribute is
</span><br />
<span class="postbody1">used for drilling down in the report. We don't need to </span><br />
<span class="postbody1">maintain Navigational attribute in the cube as a </span><br />
<span class="postbody1">characteristic (that is the advantage) to drill down. </span><br />
<br />
<span class="postbody1">Q. SOME DATA IS UPLOADED TWICE INTO INFOCUBE. HOW TO </span><br />
<span class="postbody1">CORRECT IT? </span><br />
<span class="postbody1">A: But how is it possible? If you load it manually twice,
</span><br />
<span class="postbody1">then you can delete it by requestID. </span><br />
<br />
<br />
<span class="postbody1">Q. CAN U ADD A NEW FIELD AT THE ODS LEVEL? </span><br />
<span class="postbody1">Sure you can. ODS is nothing but a table. </span><br />
<br />
<br />
<span class="postbody1">Q. CAN NUMBER OF DATASOURCES HAVE ONE INFOSOURCE? </span><br />
<span class="postbody1">A) Yes of course. For example, for loading text and </span><br />
<span class="postbody1">hierarchies we use different data sources but the same </span><br />
<span class="postbody1">InfoSource. </span><br />
<br />
<br />
<span class="postbody1">Q. BRIEF THE DATAFLOW IN BW. </span><br />
<span class="postbody1">A) Data flows from transactional system to analytical </span><br />
<span class="postbody1">system (BW). DataSources on the transactional system
needs </span><br />
<span class="postbody1">to be replicated on BW side and attached to infosource
and </span><br />
<span class="postbody1">update rules respectively. </span><br />
<br />
<br />
<span class="postbody1">Q. CURRENCY CONVERSIONS CAN BE WRITTEN IN UPDATE RULES.
WHY </span><br />
<span class="postbody1">NOT IN TRANSFER RULES? </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT IS PROCEDURE TO UPDATE DATA INTO DATA TARGETS? </span><br />
<span class="postbody1">FULL and DELTA. </span><br />
<br />
<br />
<span class="postbody1">Q) AS WE USE Sbwnn, sbiw1, sbiw2 for delta update in LIS </span><br />
<span class="postbody1">THEN WHAT IS THE PROCEDURE IN LO-COCKPIT? </span><br />
<span class="postbody1">No LIS in LO cockpit. We will have datasources and can be
</span><br />
<span class="postbody1">maintained (append fields). Refer white paper on
LO-Cockpit </span><br />
<span class="postbody1">extractions. </span><br />
<br />
<br />
<span class="postbody1">Q) Why we delete the setup tables (LBWG) & fill them </span><br />
<span class="postbody1">(OLI*BW)? </span><br />
<br />
<span class="postbody1">A) Initially we don't delete the setup tables but when we
</span><br />
<span class="postbody1">do change in extract structure we go for it. We r
changing </span><br />
<span class="postbody1">the extract structure right, that means there are some </span><br />
<span class="postbody1">newly added fields in that which r not before. So to get </span><br />
<span class="postbody1">the required data (i.e.; the data which is required is </span><br />
<span class="postbody1">taken and to avoid redundancy) we delete n then fill the </span><br />
<span class="postbody1">setup tables. </span><br />
<br />
<br />
<span class="postbody1">To refresh the statistical data. The extraction set up </span><br />
<span class="postbody1">reads the dataset that you want to process such as, </span><br />
<span class="postbody1">customers orders with the tables like VBAK, VBAP) &
fills </span><br />
<span class="postbody1">the relevant communication structure with the data. The </span><br />
<span class="postbody1">data is stored in cluster tables from where it is read
when </span><br />
<span class="postbody1">the initialization is run. It is important that during </span><br />
<span class="postbody1">initialization phase, no one generates or modifies </span><br />
<span class="postbody1">application data, at least until the tables can be set
up. </span><br />
<br />
<br />
<span class="postbody1">Q) SIGNIFICANCE of ODS? </span><br />
<span class="postbody1">It holds granular data (detailed level). </span><br />
<br />
<br />
<span class="postbody1">Q) WHERE THE PSA DATA IS STORED? </span><br />
<span class="postbody1">In PSA table. </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT IS DATA SIZE? </span><br />
<span class="postbody1">The volume of data one data target holds (in no. of </span><br />
<span class="postbody1">records) </span><br />
<br />
<br />
<span class="postbody1">Q) Different types of INFOCUBES. </span><br />
<span class="postbody1">Basic, Virtual (remote, sap remote and multi) </span><br />
<br />
<br />
<span class="postbody1">Virtual Cube is used for example, if you consider
railways </span><br />
<span class="postbody1">reservation all the information has to be updated online.
</span><br />
<span class="postbody1">For designing the Virtual cube you have to write the </span><br />
<span class="postbody1">function module that is linking to table, Virtual cube it
</span><br />
<span class="postbody1">is like a the structure, when ever the table is updated
the </span><br />
<span class="postbody1">virtual cube will fetch the data from table and display </span><br />
<span class="postbody1">report Online... FYI.. you will get the information : </span><br />
</span><span class="postbody1"><span lang="EN-GB" style="font-family: Verdana; font-size: 9.0pt;"><span style="mso-field-code: " HYPERLINK \0022https\:\/\/www\.sdn\.sap\.com\/sdn\/index\.sdn\0022 \\t \0022_blank\0022 ";"><span class="MsoHyperlink"><span lang="EN-US" style="mso-ansi-language: EN-US;">https://www.sdn.sap.com/sdn/index.sdn</span></span></span></span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"> and search for </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">Designing Virtual Cube and you will get a good material </span><br />
<span class="postbody1">designing the Function Module </span><br />
<br />
<br />
<span class="postbody1">Q) INFOSET QUERY. </span><br />
<span class="postbody1">Can be made of ODS's and Characteristic InfoObjects with </span><br />
<span class="postbody1">masterdata. </span><br />
<br />
<br />
<span class="postbody1">Q) IF THERE ARE 2 DATASOURCES HOW MANY TRANSFER
STRUCTURES </span><br />
<span class="postbody1">ARE THERE. </span><br />
<span class="postbody1">In R/3 or in BW? 2 in R/3 and 2 in BW </span><br />
<br />
<br />
<span class="postbody1">Q) ROUTINES? </span><br />
<span class="postbody1">Exist in the InfoObject, transfer routines, update
routines </span><br />
<span class="postbody1">and start routine </span><br />
<br />
<br />
<span class="postbody1">Q) BRIEF SOME STRUCTURES USED IN BEX. </span><br />
<span class="postbody1">Rows and Columns, you can create structures. </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT ARE THE DIFFERENT VARIABLES USED IN BEX? </span><br />
<span class="postbody1">Different Variable's are Texts, Formulas, Hierarchies, </span><br />
<span class="postbody1">Hierarchy nodes & Characteristic values. </span><br />
<br />
<br />
<span class="postbody1">Variable Types are </span><br />
<br />
<span class="postbody1">Manual entry /default value </span><br />
<span class="postbody1">Replacement path </span><br />
<span class="postbody1">SAP exit </span><br />
<span class="postbody1">Customer exit </span><br />
<span class="postbody1">Authorization </span><br />
<br />
<br />
<span class="postbody1">Q) HOW MANY LEVELS YOU CAN GO IN REPORTING? </span><br />
<span class="postbody1">You can drill down to any level by using Navigational </span><br />
<span class="postbody1">attributes and jump targets. </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT ARE INDEXES? </span><br />
<span class="postbody1">Indexes are data base indexes, which help in retrieving </span><br />
<span class="postbody1">data fastly. </span><br />
<br />
<br />
<span class="postbody1">Q) DIFFERENCE BETWEEN 2.1 AND 3.X VERSIONS. </span><br />
<span class="postbody1">Help! Refer documentation </span><br />
<br />
<br />
<span class="postbody1">Q) IS IT NESSESARY TO INITIALIZE EACH TIME THE DELTA
UPDATE </span><br />
<span class="postbody1">IS USED? </span><br />
<span class="postbody1">No. </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT IS THE SIGNIFICANCE OF KPI'S? </span><br />
<span class="postbody1">KPI's indicate the performance of a company. These are
key </span><br />
<span class="postbody1">figures </span><br />
<br />
<br />
<span class="postbody1">Q) AFTER THE DATA EXTRACTION WHAT IS THE IMAGE POSITION. </span><br />
<span class="postbody1">After image (correct me if I am wrong) </span><br />
<br />
<br />
<span class="postbody1">Q) REPORTING AND RESTRICTIONS. </span><br />
<span class="postbody1">Help! Refer documentation. </span><br />
<br />
<br />
<span class="postbody1">Q) TOOLS USED FOR PERFORMANCE TUNING. </span><br />
<span class="postbody1">ST22, Number ranges, delete indexes before load. Etc </span><br />
<br />
<br />
<span class="postbody1">Q) PROCESS CHAINS: IF U has USED IT THEN HOW WILL U </span><br />
<span class="postbody1">SCHEDULING DATA DAILY. </span><br />
<span class="postbody1">There should be some tool to run the job daily (SM37
jobs) </span><br />
<br />
<br />
<span class="postbody1">Q) AUTHORIZATIONS. </span><br />
<span class="postbody1">Profile generator </span><br />
<br />
<br />
<span class="postbody1">Q) WEB REPORTING. </span><br />
<span class="postbody1">What are you expecting?? </span><br />
<br />
<br />
<span class="postbody1">Q) CAN CHARECTERSTIC INFOOBJECT CAN BE INFOPROVIDER. </span><br />
<span class="postbody1">Of course </span><br />
<br />
<br />
<span class="postbody1">Q) PROCEDURES OF REPORTING ON MULTICUBES </span><br />
<span class="postbody1">Refer help. What are you expecting? MultiCube works on </span><br />
<span class="postbody1">Union condition </span><br />
<br />
<br />
<span class="postbody1">Q) EXPLAIN TRANPSORTATION OF OBJECTS? </span><br />
<span class="postbody1">Dev---àQ and Dev-------àP </span><br />
<br />
<br />
<span class="postbody1">Q) What types of partitioning are there for BW? </span><br />
<br />
<span class="postbody1">There are two Partitioning Performance aspects for BW
(Cube </span><br />
<span class="postbody1">& PSA) </span><br />
<span class="postbody1">Query Data Retrieval Performance Improvement: </span><br />
<span class="postbody1">Partitioning by (say) Date Range improves data retrieval
by </span><br />
<span class="postbody1">making best use of database [data range] execution plans </span><br />
<span class="postbody1">and indexes (of say Oracle database engine). </span><br />
<span class="postbody1">B) Transactional Load Partitioning Improvement: </span><br />
<span class="postbody1">Partitioning based on expected load volumes and data </span><br />
<span class="postbody1">element sizes. Improves data loading into PSA and Cubes
by </span><br />
<span class="postbody1">infopackages (Eg. without timeouts). </span><br />
<br />
<span class="postbody1">Q) How can I compare data in R/3 with data in a BW Cube </span><br />
<span class="postbody1">after the daily delta loads? Are there any standard </span><br />
<span class="postbody1">procedures for checking them or matching the number of </span><br />
<span class="postbody1">records? </span><br />
<br />
<span class="postbody1">A) You can go to R/3 TCode RSA3 and run the extractor. It
</span><br />
<span class="postbody1">will give you the number of records extracted. Then go to
</span><br />
<span class="postbody1">BW Monitor to check the number of records in the PSA and </span><br />
<span class="postbody1">check to see if it is the same & also in the monitor
header </span><br />
<span class="postbody1">tab. </span><br />
<span class="postbody1">A) RSA3 is a simple extractor checker program that allows
</span><br />
<span class="postbody1">you to rule out extracts problems in R/3. It is simple to
</span><br />
<span class="postbody1">use, but only really tells you if the extractor works. </span><br />
<span class="postbody1">Since records that get updated into Cubes/ODS structures </span><br />
<span class="postbody1">are controlled by Update Rules, you will not be able to </span><br />
<span class="postbody1">determine what is in the Cube compared to what is in the </span><br />
<span class="postbody1">R/3 environment. You will need to compare records on a
1:1 </span><br />
<span class="postbody1">basis against records in R/3 transactions for the </span><br />
<span class="postbody1">functional area in question. I would recommend enlisting </span><br />
<span class="postbody1">the help of the end user community to assist since they </span><br />
<span class="postbody1">presumably know the data. </span><br />
<br />
<span class="postbody1">To use RSA3, go to it and enter the extractor ex: </span><br />
<span class="postbody1">2LIS_02_HDR. Click execute and you will see the record </span><br />
<span class="postbody1">count, you can also go to display that data. You are not </span><br />
<span class="postbody1">modifying anything so what you do in RSA3 has no effect
on </span><br />
<span class="postbody1">data quality afterwards. However, it will not tell you
how </span><br />
<span class="postbody1">many records should be expected in BW for a given load.
You </span><br />
<span class="postbody1">have that information in the monitor RSMO during and
after </span><br />
<span class="postbody1">data loads. From RSMO for a given load you can determine </span><br />
<span class="postbody1">how many records were passed through the transfer rules </span><br />
<span class="postbody1">from R/3, how many targets were updated, and how many </span><br />
<span class="postbody1">records passed through the Update Rules. It also gives
you </span><br />
<span class="postbody1">error messages from the PSA. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Types of Transfer Rules? </span><br />
<br />
<span class="postbody1">A) Field to Field mapping, Constant, Variable &
routine. </span><br />
<br />
<br />
<span class="postbody1">Q) Types of Update Rules? </span><br />
<br />
<span class="postbody1">A) (Check box), Return table </span><br />
<br />
<br />
<span class="postbody1">Q) Transfer Routine? </span><br />
<br />
<span class="postbody1">A) Routines, which we write in, transfer rules. </span><br />
<br />
<br />
<span class="postbody1">Q) Update Routine? </span><br />
<br />
<span class="postbody1">A) Routines, which we write in Update rules </span><br />
<br />
<br />
<span class="postbody1">Q) What is the difference between writing a routine in </span><br />
<span class="postbody1">transfer rules and writing a routine in update rules? </span><br />
<br />
<span class="postbody1">A) If you are using the same InfoSource to update data in
</span><br />
<span class="postbody1">more than one data target its better u write in transfer </span><br />
<span class="postbody1">rules because u can assign one InfoSource to more than
one </span><br />
<span class="postbody1">data target & and what ever logic u write in update
rules </span><br />
<span class="postbody1">it is specific to particular one data target. </span><br />
<br />
<br />
<span class="postbody1">Q) Routine with Return Table. </span><br />
<br />
<span class="postbody1">A) Update rules generally only have one return value. </span><br />
<span class="postbody1">However, you can create a routine in the tab strip key </span><br />
<span class="postbody1">figure calculation, by choosing checkbox Return table.
The </span><br />
<span class="postbody1">corresponding key figure routine then no longer has a </span><br />
<span class="postbody1">return value, but a return table. You can then generate
as </span><br />
<span class="postbody1">many key figure values, as you like from one data record.
</span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Start routines? </span><br />
<br />
<span class="postbody1">A) Start routines u can write in both updates rules and </span><br />
<span class="postbody1">transfer rules, suppose you want to restrict (delete)
some </span><br />
<span class="postbody1">records based on conditions before getting loaded into
data </span><br />
<span class="postbody1">targets, then you can specify this in update rules-start </span><br />
<span class="postbody1">routine. </span><br />
<br />
<span class="postbody1">Ex: - Delete Data_Package ani ante it will delete a
record </span><br />
<span class="postbody1">based on the condition </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) X & Y Tables? </span><br />
<br />
<span class="postbody1">X-table = A table to link material SIDs with SIDs for
time- </span><br />
<span class="postbody1">independent navigation attributes. </span><br />
<br />
<span class="postbody1">Y-table = A table to link material SIDs with SIDS for
time- </span><br />
<span class="postbody1">dependent navigation attributes. </span><br />
<br />
<span class="postbody1">There are four types of sid tables </span><br />
<br />
<span class="postbody1">X time independent navigational attributes sid tables </span><br />
<br />
<span class="postbody1">Y time dependent navigational attributes sid tables </span><br />
<br />
<span class="postbody1">H hierarchy sid tables </span><br />
<br />
<span class="postbody1">I hierarchy structure sid tables </span><br />
<br />
<br />
<br />
<br />
<span class="postbody1">Q) Filters & Restricted Key figures (real time
example) </span><br />
<br />
<span class="postbody1">Restricted KF's u can have for an SD cube: billed
quantity, </span><br />
<span class="postbody1">billing value, no: of billing documents as RKF's. </span><br />
<br />
<br />
<span class="postbody1">Q) Line-Item Dimension (give me an real time example) </span><br />
<br />
<span class="postbody1">Line-Item Dimension: Invoice no: or Doc no: is a real
time </span><br />
<span class="postbody1">example </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) What does the number in the 'Total' column in </span><br />
<span class="postbody1">Transaction RSA7 mean? </span><br />
<br />
<span class="postbody1">A) The 'Total' column displays the number of LUWs that
were </span><br />
<span class="postbody1">written in the delta queue and that have not yet been </span><br />
<span class="postbody1">confirmed. The number includes the LUWs of the last delta
</span><br />
<span class="postbody1">request (for repetition of a delta request) and the LUWs </span><br />
<span class="postbody1">for the next delta request. A LUW only disappears from
the </span><br />
<span class="postbody1">RSA7 display when it has been transferred to the BW
System </span><br />
<span class="postbody1">and a new delta request has been received from the BW </span><br />
<span class="postbody1">System. </span><br />
<br />
<br />
<span class="postbody1">Q) How to know in which table (SAP BW) contains Technical
</span><br />
<span class="postbody1">Name / Description and creation data of a particular </span><br />
<span class="postbody1">Reports. Reports that are created using BEx Analyzer. </span><br />
<br />
<span class="postbody1">A) There is no such table in BW if you want to know such </span><br />
<span class="postbody1">details while you are opening a particular query press </span><br />
<span class="postbody1">properties button you will come to know all the details </span><br />
<span class="postbody1">that you wanted. </span><br />
<br />
<span class="postbody1">You will find your information about technical names and </span><br />
<span class="postbody1">description about queries in the following tables. </span><br />
<span class="postbody1">Directory of all reports (Table RSRREPDIR) and Directory
of </span><br />
<span class="postbody1">the reporting component elements (Table RSZELTDIR) for </span><br />
<span class="postbody1">workbooks and the connections to queries check Where-
used </span><br />
<span class="postbody1">list for reports in workbooks (Table RSRWORKBOOK) Titles
of </span><br />
<span class="postbody1">Excel Workbooks in InfoCatalog (Table RSRWBINDEXT) </span><br />
<br />
<br />
<span class="postbody1">Q) What is a LUW in the delta queue? </span><br />
<br />
<span class="postbody1">A) A LUW from the point of view of the delta queue can be
</span><br />
<span class="postbody1">an individual document, a group of documents from a </span><br />
<span class="postbody1">collective run or a whole data packet of an application </span><br />
<span class="postbody1">extractor. </span><br />
<br />
<br />
<span class="postbody1">Q) Why does the number in the 'Total' column in the </span><br />
<span class="postbody1">overview screen of Transaction RSA7 differ from the
number </span><br />
<span class="postbody1">of data records that is displayed when you call the
detail </span><br />
<span class="postbody1">view? </span><br />
<br />
<span class="postbody1">A) The number on the overview screen corresponds to the </span><br />
<span class="postbody1">total of LUWs (see also first question) that were written
</span><br />
<span class="postbody1">to the qRFC queue and that have not yet been confirmed.
The </span><br />
<span class="postbody1">detail screen displays the records contained in the LUWs.
</span><br />
<span class="postbody1">Both, the records belonging to the previous delta request
</span><br />
<span class="postbody1">and the records that do not meet the selection conditions
</span><br />
<span class="postbody1">of the preceding delta init requests are filtered out. </span><br />
<span class="postbody1">Thus, only the records that are ready for the next delta </span><br />
<span class="postbody1">request are displayed on the detail screen. In the detail
</span><br />
<span class="postbody1">screen of Transaction RSA7, a possibly existing customer </span><br />
<span class="postbody1">exit is not taken into account. </span><br />
<br />
<br />
<span class="postbody1">Q) Why does Transaction RSA7 still display LUWs on the </span><br />
<span class="postbody1">overview screen after successful delta loading? </span><br />
<br />
<span class="postbody1">A) Only when a new delta has been requested does the
source </span><br />
<span class="postbody1">system learn that the previous delta was successfully </span><br />
<span class="postbody1">loaded to the BW System. Then, the LUWs of the previous </span><br />
<span class="postbody1">delta may be confirmed (and also deleted). In the
meantime, </span><br />
<span class="postbody1">the LUWs must be kept for a possible delta request </span><br />
<span class="postbody1">repetition. In particular, the number on the overview </span><br />
<span class="postbody1">screen does not change when the first delta was loaded to
</span><br />
<span class="postbody1">the BW System. </span><br />
<br />
<br />
<span class="postbody1">Q) Why are selections not taken into account when the
delta </span><br />
<span class="postbody1">queue is filled? </span><br />
<br />
<span class="postbody1">A) Filtering according to selections takes place when the
</span><br />
<span class="postbody1">system reads from the delta queue. This is necessary for </span><br />
<span class="postbody1">reasons of performance. </span><br />
<br />
<br />
<span class="postbody1">Q) Why is there a DataSource with '0' records in RSA7 if </span><br />
<span class="postbody1">delta exists and has also been loaded successfully? </span><br />
<br />
<span class="postbody1">It is most likely that this is a DataSource that does not
</span><br />
<span class="postbody1">send delta data to the BW System via the delta queue but </span><br />
<span class="postbody1">directly via the extractor (delta for master data using
ALE </span><br />
<span class="postbody1">change pointers). Such a DataSource should not be
displayed </span><br />
<span class="postbody1">in RSA7. This error is corrected with BW 2.0B Support </span><br />
<span class="postbody1">Package 11. </span><br />
<br />
<br />
<span class="postbody1">Q) Do the entries in table ROIDOCPRMS have an impact on
the </span><br />
<span class="postbody1">performance of the loading procedure from the delta
queue? </span><br />
<br />
<span class="postbody1">A) The impact is limited. If performance problems are </span><br />
<span class="postbody1">related to the loading process from the delta queue, then
</span><br />
<span class="postbody1">refer to the application-specific notes (for example in
the </span><br />
<span class="postbody1">CO-PA area, in the logistics cockpit area and so on). </span><br />
<br />
<span class="postbody1">Caution: As of Plug In 2000.2 patch 3 the entries in
table </span><br />
<span class="postbody1">ROIDOCPRMS are as effective for the delta queue as for a </span><br />
<span class="postbody1">full update. Please note, however, that LUWs are not
split </span><br />
<span class="postbody1">during data loading for consistency reasons. This means </span><br />
<span class="postbody1">that when very large LUWs are written to the DeltaQueue, </span><br />
<span class="postbody1">the actual package size may differ considerably from the </span><br />
<span class="postbody1">MAXSIZE and MAXLINES parameters. </span><br />
<br />
<br />
<span class="postbody1">Q) Why does it take so long to display the data in the </span><br />
<span class="postbody1">delta queue (for example approximately 2 hours)? </span><br />
<br />
<span class="postbody1">A) With Plug In 2001.1 the display was changed: the user </span><br />
<span class="postbody1">has the option of defining the amount of data to be </span><br />
<span class="postbody1">displayed, to restrict it, to selectively choose the
number </span><br />
<span class="postbody1">of a data record, to make a distinction between </span><br />
<span class="postbody1">the 'actual' delta data and the data intended for </span><br />
<span class="postbody1">repetition and so on. </span><br />
<br />
<br />
<span class="postbody1">Q) What is the purpose of function 'Delete data and meta </span><br />
<span class="postbody1">data in a queue' in RSA7? What exactly is deleted? </span><br />
<br />
<span class="postbody1">A) You should act with extreme caution when you use the </span><br />
<span class="postbody1">deletion function in the delta queue. It is comparable to
</span><br />
<span class="postbody1">deleting an InitDelta in the BW System and should </span><br />
<span class="postbody1">preferably be executed there. You do not only delete all </span><br />
<span class="postbody1">data of this DataSource for the affected BW System, but </span><br />
<span class="postbody1">also lose the entire information concerning the delta </span><br />
<span class="postbody1">initialization. Then you can only request new deltas
after </span><br />
<span class="postbody1">another delta initialization. </span><br />
<br />
<span class="postbody1">When you delete the data, the LUWs kept in the qRFC queue
</span><br />
<span class="postbody1">for the corresponding target system are confirmed.
Physical </span><br />
<span class="postbody1">deletion only takes place in the qRFC outbound queue if </span><br />
<span class="postbody1">there are no more references to the LUWs. </span><br />
<br />
<span class="postbody1">The deletion function is for example intended for a case </span><br />
<span class="postbody1">where the BW System, from which the delta initialization </span><br />
<span class="postbody1">was originally executed, no longer exists or can no
longer </span><br />
<span class="postbody1">be accessed. </span><br />
<br />
<br />
<span class="postbody1">Q) Why does it take so long to delete from the delta
queue </span><br />
<span class="postbody1">(for example half a day)? </span><br />
<br />
<span class="postbody1">A) Import PlugIn 2000.2 patch 3. With this patch the </span><br />
<span class="postbody1">performance during deletion is considerably improved. </span><br />
<br />
<br />
<span class="postbody1">Q) Why is the delta queue not updated when you start the
V3 </span><br />
<span class="postbody1">update in the logistics cockpit area? </span><br />
<br />
<span class="postbody1">A) It is most likely that a delta initialization had not </span><br />
<span class="postbody1">yet run or that the delta initialization was not </span><br />
<span class="postbody1">successful. A successful delta initialization (the </span><br />
<span class="postbody1">corresponding request must have QM status 'green' in the
BW </span><br />
<span class="postbody1">System) is a prerequisite for the application data being </span><br />
<span class="postbody1">written in the delta queue. </span><br />
<br />
<br />
<span class="postbody1">Q) What is the relationship between RSA7 and the qRFC </span><br />
<span class="postbody1">monitor (Transaction SMQ1)? </span><br />
<br />
<span class="postbody1">A) The qRFC monitor basically displays the same data as </span><br />
<span class="postbody1">RSA7. The internal queue name must be used for selection
on </span><br />
<span class="postbody1">the initial screen of the qRFC monitor. This is made up
of </span><br />
<span class="postbody1">the prefix 'BW, the client and the short name of the </span><br />
<span class="postbody1">DataSource. For DataSources whose name are 19 characters </span><br />
<span class="postbody1">long or shorter, the short name corresponds to the name
of </span><br />
<span class="postbody1">the DataSource. For DataSources whose name is longer than
</span><br />
<span class="postbody1">19 characters (for delta-capable DataSources only
possible </span><br />
<span class="postbody1">as of PlugIn 2001.1) the short name is assigned in table </span><br />
<span class="postbody1">ROOSSHORTN. </span><br />
<br />
<span class="postbody1">In the qRFC monitor you cannot distinguish between </span><br />
<span class="postbody1">repeatable and new LUWs. Moreover, the data of a LUW is </span><br />
<span class="postbody1">displayed in an unstructured manner there. </span><br />
<br />
<br />
<span class="postbody1">Q) Why are the data in the delta queue although the V3 </span><br />
<span class="postbody1">update was not started? </span><br />
<br />
<span class="postbody1">A) Data was posted in background. Then, the records are </span><br />
<span class="postbody1">updated directly in the delta queue (RSA7). This happens
in </span><br />
<span class="postbody1">particular during automatic goods receipt posting (MRRS).
</span><br />
<span class="postbody1">There is no duplicate transfer of records to the BW
system. </span><br />
<span class="postbody1">See Note 417189. </span><br />
<br />
<br />
<span class="postbody1">Q) Why does button 'Repeatable' on the RSA7 data details </span><br />
<span class="postbody1">screen not only show data loaded into BW during the last </span><br />
<span class="postbody1">delta but also data that were newly added, i.e. 'pure' </span><br />
<span class="postbody1">delta records? </span><br />
<br />
<span class="postbody1">A) Was programmed in a way that the request in repeat
mode </span><br />
<span class="postbody1">fetches both actually repeatable (old) data and new data </span><br />
<span class="postbody1">from the source system. </span><br />
<br />
<br />
<span class="postbody1">Q) I loaded several delta inits with various selections. </span><br />
<span class="postbody1">For which one is the delta loaded? </span><br />
<br />
<span class="postbody1">A) For delta, all selections made via delta inits are </span><br />
<span class="postbody1">summed up. This means, a delta for the 'total' of all
delta </span><br />
<span class="postbody1">initializations is loaded. </span><br />
<br />
<br />
<span class="postbody1">Q) How many selections for delta inits are possible in
the </span><br />
<span class="postbody1">system? </span><br />
<br />
<span class="postbody1">A) With simple selections (intervals without complicated </span><br />
<span class="postbody1">join conditions or single values), you can make up to
about </span><br />
<span class="postbody1">100 delta inits. It should not be more. </span><br />
<br />
<span class="postbody1">With complicated selection conditions, it should be only
up </span><br />
<span class="postbody1">to 10-20 delta inits. </span><br />
<br />
<span class="postbody1">Reason: With many selection conditions that are joined in
a </span><br />
<span class="postbody1">complicated way, too many 'where' lines are generated in </span><br />
<span class="postbody1">the generated ABAP source code that may exceed the memory
</span><br />
<span class="postbody1">limit. </span><br />
<br />
<br />
<span class="postbody1">Q) I intend to copy the source system, i.e. make a client
</span><br />
<span class="postbody1">copy. What will happen with may delta? Should I
initialize </span><br />
<span class="postbody1">again after that? </span><br />
<br />
<span class="postbody1">A) Before you copy a source client or source system, make
</span><br />
<span class="postbody1">sure that your deltas have been fetched from the
DeltaQueue </span><br />
<span class="postbody1">into BW and that no delta is pending. After the client </span><br />
<span class="postbody1">copy, an inconsistency might occur between BW delta
tables </span><br />
<span class="postbody1">and the OLTP delta tables as described in Note 405943. </span><br />
<span class="postbody1">After the client copy, Table ROOSPRMSC will probably be </span><br />
<span class="postbody1">empty in the OLTP since this table is client-independent.
</span><br />
<span class="postbody1">After the system copy, the table will contain the entries
</span><br />
<span class="postbody1">with the old logical system name that are no longer useful
</span><br />
<span class="postbody1">for further delta loading from the new logical system.
The </span><br />
<span class="postbody1">delta must be initialized in any case since delta depends
</span><br />
<span class="postbody1">on both the BW system and the source system. Even if no </span><br />
<span class="postbody1">dump 'MESSAGE_TYPE_X' occurs in BW when editing or
creating </span><br />
<span class="postbody1">an InfoPackage, you should expect that the delta have to
be </span><br />
<span class="postbody1">initialized after the copy. </span><br />
<br />
<br />
<span class="postbody1">Q) Is it allowed in Transaction SMQ1 to use the functions
</span><br />
<span class="postbody1">for manual control of processes? </span><br />
<br />
<span class="postbody1">A) Use SMQ1 as an instrument for diagnosis and control </span><br />
<span class="postbody1">only. Make changes to BW queues only after informing the
BW </span><br />
<span class="postbody1">Support or only if this is explicitly requested in a note
</span><br />
<span class="postbody1">for component 'BC-BW' or 'BW-WHM-SAPI'. </span><br />
<br />
<br />
<span class="postbody1">Q) Despite of the delta request being started after </span><br />
<span class="postbody1">completion of the collective run (V3 update), it does not
</span><br />
<span class="postbody1">contain all documents. Only another delta request loads
the </span><br />
<span class="postbody1">missing documents into BW. What is the cause for </span><br />
<span class="postbody1">this "splitting"? </span><br />
<br />
<span class="postbody1">A) The collective run submits the open V2 documents for </span><br />
<span class="postbody1">processing to the task handler, which processes them in
one </span><br />
<span class="postbody1">or several parallel update processes in an asynchronous </span><br />
<span class="postbody1">way. For this reason, plan a sufficiently large
"safety </span><br />
<span class="postbody1">time window" between the end of the collective run
in the </span><br />
<span class="postbody1">source system and the start of the delta request in BW.
An </span><br />
<span class="postbody1">alternative solution where this problem does not occur is
</span><br />
<span class="postbody1">described in Note 505700. </span><br />
<br />
<br />
<span class="postbody1">Q) Despite my deleting the delta init, LUWs are still </span><br />
<span class="postbody1">written into the DeltaQueue? </span><br />
<br />
<span class="postbody1">A) In general, delta initializations and deletions of
delta </span><br />
<span class="postbody1">inits should always be carried out at a time when no </span><br />
<span class="postbody1">posting takes place. Otherwise, buffer problems may
occur: </span><br />
<span class="postbody1">If a user started the internal mode at a time when the </span><br />
<span class="postbody1">delta initialization was still active, he/she posts data </span><br />
<span class="postbody1">into the queue even though the initialization had been </span><br />
<span class="postbody1">deleted in the meantime. This is the case in your system.
</span><br />
<br />
<br />
<span class="postbody1">Q) In SMQ1 (qRFC Monitor) I have status 'NOSEND'. In the </span><br />
<span class="postbody1">table TRFCQOUT, some entries have the status 'READY', </span><br />
<span class="postbody1">others 'RECORDED'. ARFCSSTATE is 'READ'. What do these </span><br />
<span class="postbody1">statuses mean? Which values in the field 'Status' mean
what </span><br />
<span class="postbody1">and which values are correct and which are alarming? Are </span><br />
<span class="postbody1">the statuses BW-specific or generally valid in qRFC? </span><br />
<br />
<span class="postbody1">A) Table TRFCQOUT and ARFCSSTATE: Status READ means that </span><br />
<span class="postbody1">the record was read once either in a delta request or in
a </span><br />
<span class="postbody1">repetition of the delta request. However, this does not </span><br />
<span class="postbody1">mean that the record has successfully reached the BW yet.
</span><br />
<span class="postbody1">The status READY in the TRFCQOUT and RECORDED in the </span><br />
<span class="postbody1">ARFCSSTATE means that the record has been written into
the </span><br />
<span class="postbody1">DeltaQueue and will be loaded into the BW with the next </span><br />
<span class="postbody1">delta request or a repetition of a delta. In any case
only </span><br />
<span class="postbody1">the statuses READ, READY and RECORDED in both tables are </span><br />
<span class="postbody1">considered to be valid. The status EXECUTED in TRFCQOUT
can </span><br />
<span class="postbody1">occur temporarily. It is set before starting a </span><br />
<span class="postbody1">DeltaExtraction for all records with status READ present
at </span><br />
<span class="postbody1">that time. The records with status EXECUTED are usually </span><br />
<span class="postbody1">deleted from the queue in packages within a delta request
</span><br />
<span class="postbody1">directly after setting the status before extracting a new
</span><br />
<span class="postbody1">delta. If you see such records, it means that either a </span><br />
<span class="postbody1">process which is confirming and deleting records which
have </span><br />
<span class="postbody1">been loaded into the BW is successfully running at the </span><br />
<span class="postbody1">moment, or, if the records remain in the table for a
longer </span><br />
<span class="postbody1">period of time with status EXECUTED, it is likely that </span><br />
<span class="postbody1">there are problems with deleting the records which have </span><br />
<span class="postbody1">already been successfully been loaded into the BW. In
this </span><br />
<span class="postbody1">state, no more deltas are loaded into the BW. Every other
</span><br />
<span class="postbody1">status is an indicator for an error or an inconsistency. </span><br />
<span class="postbody1">NOSEND in SMQ1 means nothing (see note 378903). </span><br />
<br />
<span class="postbody1">The value 'U' in field 'NOSEND' of table TRFCQOUT is </span><br />
<span class="postbody1">discomforting. </span><br />
<br />
<br />
<span class="postbody1">Q) The extract structure was changed when the DeltaQueue </span><br />
<span class="postbody1">was empty. Afterwards new delta records were written to
the </span><br />
<span class="postbody1">DeltaQueue. When loading the delta into the PSA, it shows
</span><br />
<span class="postbody1">that some fields were moved. The same result occurs when </span><br />
<span class="postbody1">the contents of the DeltaQueue are listed via the detail </span><br />
<span class="postbody1">display. Why are the data displayed differently? What can
</span><br />
<span class="postbody1">be done? </span><br />
<br />
<span class="postbody1">Make sure that the change of the extract structure is also
</span><br />
<span class="postbody1">reflected in the database and that all servers are </span><br />
<span class="postbody1">synchronized. We recommend to reset the buffers using </span><br />
<span class="postbody1">Transaction $SYNC. If the extract structure change is not
</span><br />
<span class="postbody1">communicated synchronously to the server where delta </span><br />
<span class="postbody1">records are being created, the records are written with
the </span><br />
<span class="postbody1">old structure until the new structure has been generated.
</span><br />
<span class="postbody1">This may have disastrous consequences for the delta. </span><br />
<br />
<span class="postbody1">When the problem occurs, the delta needs to be re- </span><br />
<span class="postbody1">initialized. </span><br />
<br />
<br />
<span class="postbody1">Q) How and where can I control whether a repeat delta is </span><br />
<span class="postbody1">requested? </span><br />
<br />
<span class="postbody1">A) Via the status of the last delta in the BW Request </span><br />
<span class="postbody1">Monitor. If the request is RED, the next load will be of </span><br />
<span class="postbody1">type 'Repeat'. If you need to repeat the last load for </span><br />
<span class="postbody1">certain reasons, set the request in the monitor to red </span><br />
<span class="postbody1">manually. For the contents of the repeat see Question 14.
</span><br />
<span class="postbody1">Delta requests set to red despite of data being already </span><br />
<span class="postbody1">updated lead to duplicate records in a subsequent repeat,
</span><br />
<span class="postbody1">if they have not been deleted from the data targets </span><br />
<span class="postbody1">concerned before. </span><br />
<br />
<br />
<span class="postbody1">Q) As of PI 2003.1, the Logistic Cockpit offers various </span><br />
<span class="postbody1">types of update methods. Which update method is
recommended </span><br />
<span class="postbody1">in logistics? According to which criteria should the </span><br />
<span class="postbody1">decision be made? How can I choose an update method in </span><br />
<span class="postbody1">logistics? </span><br />
<br />
<span class="postbody1">See the recommendation in Note 505700. </span><br />
<br />
<br />
<span class="postbody1">Q) Are there particular recommendations regarding the
data </span><br />
<span class="postbody1">volume the DeltaQueue may grow to without facing the
danger </span><br />
<span class="postbody1">of a read failure due to memory problems? </span><br />
<br />
<span class="postbody1">A) There is no strict limit (except for the restricted </span><br />
<span class="postbody1">number range of the 24-digit QCOUNT counter in the LUW </span><br />
<span class="postbody1">management table - which is of no practical importance, </span><br />
<span class="postbody1">however - or the restrictions regarding the volume and </span><br />
<span class="postbody1">number of records in a database table). </span><br />
<br />
<span class="postbody1">When estimating "smooth" limits, both the
number of LUWs is </span><br />
<span class="postbody1">important and the average data volume per LUW. As a rule,
</span><br />
<span class="postbody1">we recommend to bundle data (usually documents) already </span><br />
<span class="postbody1">when writing to the DeltaQueue to keep number of LUWs
small </span><br />
<span class="postbody1">(partly this can be set in the applications, e.g. in the </span><br />
<span class="postbody1">Logistics Cockpit). The data volume of a single LUW
should </span><br />
<span class="postbody1">not be considerably larger than 10% of the memory
available </span><br />
<span class="postbody1">to the work process for data extraction (in a 32-bit </span><br />
<span class="postbody1">architecture with a memory volume of about 1GByte per
work </span><br />
<span class="postbody1">process, 100 Mbytes per LUW should not be exceeded). That
</span><br />
<span class="postbody1">limit is of rather small practical importance as well
since </span><br />
<span class="postbody1">a comparable limit already applies when writing to the </span><br />
<span class="postbody1">DeltaQueue. If the limit is observed, correct reading is </span><br />
<span class="postbody1">guaranteed in most cases. </span><br />
<br />
<span class="postbody1">If the number of LUWs cannot be reduced by bundling </span><br />
<span class="postbody1">application transactions, you should at least make sure </span><br />
<span class="postbody1">that the data are fetched from all connected BWs as
quickly </span><br />
<span class="postbody1">as possible. But for other, BW-specific, reasons, the </span><br />
<span class="postbody1">frequency should not be higher than one DeltaRequest per </span><br />
<span class="postbody1">hour. </span><br />
<br />
<span class="postbody1">To avoid memory problems, a program-internal limit
ensures </span><br />
<span class="postbody1">that never more than 1 million LUWs are read and fetched </span><br />
<span class="postbody1">from the database per DeltaRequest. If this limit is </span><br />
<span class="postbody1">reached within a request, the DeltaQueue must be emptied
by </span><br />
<span class="postbody1">several successive DeltaRequests. We recommend, however,
to </span><br />
<span class="postbody1">try not to reach that limit but trigger the fetching of </span><br />
<span class="postbody1">data from the connected BWs already when the number of
LUWs </span><br />
<span class="postbody1">reaches a 5-digit value. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) I would like to display the date the data was uploaded
</span><br />
<span class="postbody1">on the report. Usually, we load the transactional data </span><br />
<span class="postbody1">nightly. Is there any easy way to include this
information </span><br />
<span class="postbody1">on the report for users? So that they know the validity
of </span><br />
<span class="postbody1">the report. </span><br />
<br />
<span class="postbody1">A) If I understand your requirement correctly, you want
to </span><br />
<span class="postbody1">display the date on which data was loaded into the data </span><br />
<span class="postbody1">target from which the report is being executed. If it is </span><br />
<span class="postbody1">so, configure your workbook to display the text elements
in </span><br />
<span class="postbody1">the report. This displays the relevance of data field, </span><br />
<span class="postbody1">which is the date on which the data load has taken place.
</span><br />
<br />
<br />
<span class="postbody1">Q) Can we filter the fields at Transfer Structure? </span><br />
<br />
<span class="postbody1">Q) Can we load data directly into infoobject with out </span><br />
<span class="postbody1">extraction is it possible. </span><br />
<br />
<span class="postbody1">Yes. We can copy from other infoobject if it is same. We </span><br />
<span class="postbody1">load data from PSA if it is already in PSA. </span><br />
<br />
<br />
<span class="postbody1">Q) HOW MANY DAYS CAN WE KEEP THE DATA IN PSA, IF WE R </span><br />
<span class="postbody1">SHEDULED DAILY, WEEKLY AND MONTHLY. </span><br />
<br />
<span class="postbody1">a) We can set the time. </span><br />
<br />
<br />
<span class="postbody1">Q) HOW CAN U GET THE DATA FROM CLIENT IF U R WORKING ON </span><br />
<span class="postbody1">OFFSHORE PROJECTS. THROUGH WHICH NETWORK. </span><br />
<br />
<span class="postbody1">a) VPN…………….Virtual Private Network, VPN is nothing but
one </span><br />
<span class="postbody1">sort of network where we can connect to the client
systems </span><br />
<span class="postbody1">sitting in offshore through RAS (Remote access server). </span><br />
<br />
<br />
<span class="postbody1">Q) HOW CAN U ANALIZE THE PROJECT AT FIRST? </span><br />
<br />
<span class="postbody1">Prepare Project Plan and Environment </span><br />
<span class="postbody1">Define Project Management Standards and </span><br />
<br />
<span class="postbody1">Procedures </span><br />
<span class="postbody1">Define Implementation Standards and Procedures </span><br />
<br />
<span class="postbody1">Testing & Go-live + supporting. </span><br />
<br />
<br />
<span class="postbody1">Q) THERE is one ODS AND 4 INFOCUBES. WE SEND DATA AT TIME
</span><br />
<span class="postbody1">TO ALL CUBES IF ONE CUBE GOT LOCK ERROR. HOW CAN U
RECTIFY </span><br />
<span class="postbody1">THE ERROR? </span><br />
<br />
<span class="postbody1">Go to TCode sm66 then see which one is locked select that
</span><br />
<span class="postbody1">pid from there and goto sm12 </span><br />
<span class="postbody1">TCode then unlock it this is happened when lock errors
are </span><br />
<span class="postbody1">occurred when u scheduled. </span><br />
<br />
<br />
<span class="postbody1">Q) Can anybody tell me how to add a navigational
attribute </span><br />
<span class="postbody1">in the BEx report in the rows? </span><br />
<br />
<span class="postbody1">A) Expand dimension under left side panel (that is
infocube </span><br />
<span class="postbody1">panel) select than navigational attributes drag and drop </span><br />
<span class="postbody1">under rows panel. </span><br />
<br />
<br />
<span class="postbody1">Q) IF ANY TRASACTION CODE LIKE SMPT OR STMT. </span><br />
<br />
<span class="postbody1">In current systems (BW 3.0B and R/3 4.6B) these Tcodes </span><br />
<span class="postbody1">don't exist! </span><br />
<br />
<br />
<span class="postbody1">Q) WHAT IS TRANSACTIONAL CUBE? </span><br />
<br />
<span class="postbody1">A) Transactional InfoCubes differ from standard InfoCubes
</span><br />
<span class="postbody1">in that the former have an improved write access </span><br />
<span class="postbody1">performance level. Standard InfoCubes are technically </span><br />
<span class="postbody1">optimized for read-only access and for a comparatively </span><br />
<span class="postbody1">small number of simultaneous accesses. Instead, the </span><br />
<span class="postbody1">transactional InfoCube was developed to meet the demands
of </span><br />
<span class="postbody1">SAP Strategic Enterprise Management (SEM), meaning that, </span><br />
<span class="postbody1">data is written to the InfoCube (possibly by several
users </span><br />
<span class="postbody1">at the same time) and re-read as soon as possible.
Standard </span><br />
<span class="postbody1">Basic cubes are not suitable for this. </span><br />
<br />
<br />
<span class="postbody1">Q) Is there any way to delete cube contents within update
</span><br />
<span class="postbody1">rules from an ODS data source? The reason for this would
be </span><br />
<span class="postbody1">to delete (or zero out) a cube record in an "Open
Order" </span><br />
<span class="postbody1">cube if the open order quantity was 0. </span><br />
<span class="postbody1">I've tried using the 0recordmode but that doesn't work. </span><br />
<span class="postbody1">Also, would it </span><br />
<span class="postbody1">be easier to write a program that would be run after the </span><br />
<span class="postbody1">load and delete </span><br />
<span class="postbody1">the records with a zero open qty? </span><br />
<br />
<span class="postbody1">A) START routine for update rules u can write ABAP code. </span><br />
<br />
<span class="postbody1">A) Yap, you can do it. Create a start routine in Update </span><br />
<span class="postbody1">rule. </span><br />
<br />
<span class="postbody1">It is not "Deleting cube contents with update
rules" It is </span><br />
<span class="postbody1">only possible to avoid that some content is updated into </span><br />
<span class="postbody1">the InfoCube using the start routine. Loop at all the </span><br />
<span class="postbody1">records and delete the record that has the condition.
"If </span><br />
<span class="postbody1">the open order quantity was 0" You have to think
also in </span><br />
<span class="postbody1">before and after images in case of a delta upload. In
that </span><br />
<span class="postbody1">case you may delete the change record and keep the old
and </span><br />
<span class="postbody1">after the change the wrong information. </span><br />
<br />
<br />
<span class="postbody1">Q) I am not able to access a node in hierarchy directly </span><br />
<span class="postbody1">using variables for reports. When I am using Tcode RSZV
it </span><br />
<span class="postbody1">is giving a message that it doesn't exist in BW 3.0 and
it </span><br />
<span class="postbody1">is embedded in BEx. Can any one tell me the other options
</span><br />
<span class="postbody1">to get the same functionality in BEx? </span><br />
<br />
<span class="postbody1">A) Tcode RSZV is used in the earlier version of 3.0B
only. </span><br />
<span class="postbody1">From 3.0B onwards, it's possible in the Query Designer </span><br />
<span class="postbody1">(BEx) itself. Just right click on the InfoObject for
which </span><br />
<span class="postbody1">you want to use as variables and precede further
selecting </span><br />
<span class="postbody1">variable type and processing types. </span><br />
<br />
<br />
<span class="postbody1">Q) Wondering how can I get the values, for an example, if
I </span><br />
<span class="postbody1">run a report for month range 01/2004 - 10/2004 then
monthly </span><br />
<span class="postbody1">value is actually divide by the number of months that I </span><br />
<span class="postbody1">selected. Which variable should I use? </span><br />
<br />
<br />
<span class="postbody1">Q) Why is it every time I switch from Info Provider to </span><br />
<span class="postbody1">InfoObject or from one item to another while in modeling
I </span><br />
<span class="postbody1">always get this message " Reading Data " or
"constructing </span><br />
<span class="postbody1">workbench" in it runs for minutes.... anyway to stop
this? </span><br />
<br />
<br />
<span class="postbody1">Q) Can any one give me info on how the BW delta works
also </span><br />
<span class="postbody1">would like to know about 'before image and after image'
am </span><br />
<span class="postbody1">currently in a BW project and have to write start
routines </span><br />
<span class="postbody1">for delta load. </span><br />
<br />
<br />
<span class="postbody1">Q) I am very new to BW. I would like to clarify a doubt </span><br />
<span class="postbody1">regarding Delta extractor. If I am correct, by using
delta </span><br />
<span class="postbody1">extractors the data that has already been scheduled will </span><br />
<span class="postbody1">not be uploaded again. Say for a specific scenario,
Sales. </span><br />
<span class="postbody1">Now I have uploaded all the sales order created till </span><br />
<span class="postbody1">yesterday into the cube. Now say I make changes to any of
</span><br />
<span class="postbody1">the open record, which was already uploaded. Now what </span><br />
<span class="postbody1">happens when I schedule it again? Will the same record be
</span><br />
<span class="postbody1">uploaded again with the changes or will the changes get </span><br />
<span class="postbody1">affected to the previous record. </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) In BW we need to write abap routines. I wish to know </span><br />
<span class="postbody1">when and what type of abap routines we got to write.
Also, </span><br />
<span class="postbody1">are these routines written in update rules? I will be
glad, </span><br />
<span class="postbody1">if this is clarified with real-time scenarios and few </span><br />
<span class="postbody1">examples? </span><br />
<br />
<span class="postbody1">A) Over here we write our routines in the start routines
in </span><br />
<span class="postbody1">the update rules or in the transfer structure (you can </span><br />
<span class="postbody1">choose between writing them in the start routines or </span><br />
<span class="postbody1">directly behind the different characteristics. In the </span><br />
<span class="postbody1">transfer structure you just click on the yellow triangle </span><br />
<span class="postbody1">behind a characteristic and choose "routine".
In the update </span><br />
<span class="postbody1">rules you can choose "start routine" or click
on the </span><br />
<span class="postbody1">triangle with the green square behind an individual </span><br />
<span class="postbody1">characteristic. Usually we only use start routine when it
</span><br />
<span class="postbody1">does not concern one single characteristic (for example </span><br />
<span class="postbody1">when you have to read the same table for 4 </span><br />
<span class="postbody1">characteristics). I hope this helps. </span><br />
<br />
<br />
<span class="postbody1">We used ABAP Routines for example: </span><br />
<br />
<span class="postbody1">To convert to Uppercase (transfer structure) </span><br />
<br />
<span class="postbody1">To convert Values out of a third party tool with
different </span><br />
<span class="postbody1">keys into the same keys as our SAP System uses (transfer </span><br />
<span class="postbody1">structure) </span><br />
<br />
<span class="postbody1">To select only a part of the data for from an infosource </span><br />
<span class="postbody1">updating the InfoCube (Start Routine) etc. </span><br />
<br />
<br />
<span class="postbody1">Q) What is ODS? </span><br />
<br />
<span class="postbody1">A) An ODS object acts as a storage location for </span><br />
<span class="postbody1">consolidated and cleaned-up transaction data (transaction
</span><br />
<span class="postbody1">data or master data, for example) on the document
(atomic) </span><br />
<span class="postbody1">level. </span><br />
<br />
<span class="postbody1">This data can be evaluated using a BEx query. </span><br />
<br />
<span class="postbody1">Standard ODS Object </span><br />
<br />
<span class="postbody1">Transactional ODS object: </span><br />
<br />
<span class="postbody1">The data is immediately available here for reporting. For
</span><br />
<span class="postbody1">implementation, compare with the Transactional ODS
Object. </span><br />
<br />
<span class="postbody1">A transactional ODS object differs from a standard ODS </span><br />
<span class="postbody1">object in the way it prepares data. In a standard ODS </span><br />
<span class="postbody1">object, data is stored in different versions ((new)
delta, </span><br />
<span class="postbody1">active, (change log) modified), where as a transactional </span><br />
<span class="postbody1">ODS object contains the data in a single version. </span><br />
<span class="postbody1">Therefore, data is stored in precisely the same form in </span><br />
<span class="postbody1">which it was written to the transactional ODS object by
the </span><br />
<span class="postbody1">application. In BW, you can use a transaction ODS object
as </span><br />
<span class="postbody1">a data target for an analysis process. </span><br />
<br />
<span class="postbody1">The transactional ODS object is also required by diverse </span><br />
<span class="postbody1">applications, such as SAP Strategic Enterprise Management
</span><br />
<span class="postbody1">(SEM) for example, as well as other external
applications. </span><br />
<br />
<span class="postbody1">Transactional ODS objects allow data to be available </span><br />
<span class="postbody1">quickly. The data from this kind of ODS object is
accessed </span><br />
<span class="postbody1">transactionally, that is, data is written to the ODS
object </span><br />
<span class="postbody1">(possibly by several users at the same time) and reread
as </span><br />
<span class="postbody1">soon as possible. </span><br />
<br />
<span class="postbody1">It offers no replacement for the standard ODS object. </span><br />
<span class="postbody1">Instead, an additional function displays those that can
be </span><br />
<span class="postbody1">used for special applications. </span><br />
<br />
<span class="postbody1">The transactional ODS object simply consists of a table
for </span><br />
<span class="postbody1">active data. It retrieves its data from external systems </span><br />
<span class="postbody1">via fill- or delete- APIs. The loading process is not </span><br />
<span class="postbody1">supported by the BW system. The advantage to the way it
is </span><br />
<span class="postbody1">structured is that data is easy to access. They are made </span><br />
<span class="postbody1">available for reporting immediately after being loaded. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) What does InfoCube contains? </span><br />
<br />
<span class="postbody1">A) Each InfoCube has one FactTable & a maximum of 16
(13+3 </span><br />
<span class="postbody1">system defined, time, unit & data packet) dimensions.
</span><br />
<br />
<br />
<span class="postbody1">Q) What does FACT Table contain? </span><br />
<br />
<span class="postbody1">A FactTable consists of KeyFigures. </span><br />
<br />
<br />
<span class="postbody1">Each Fact Table can contain a maximum of 233 key figures.
</span><br />
<br />
<span class="postbody1">Dimension can contain up to 248 freely available </span><br />
<span class="postbody1">characteristics. </span><br />
<br />
<br />
<span class="postbody1">Q) How many dimensions are in a CUBE? </span><br />
<br />
<span class="postbody1">A) 16 dimensions. (13 user defined & 3 system
pre-defined </span><br />
<span class="postbody1">[time, unit & data packet]) </span><br />
<br />
<br />
<span class="postbody1">Q) What does SID Table contain? </span><br />
<br />
<span class="postbody1">SID keys linked with dimension table & master data
tables </span><br />
<span class="postbody1">(attributes, texts, hierarchies) </span><br />
<br />
<br />
<span class="postbody1">Q) What does ATTRIBUTE Table contain? </span><br />
<br />
<span class="postbody1">Master attribute data </span><br />
<br />
<br />
<span class="postbody1">Q) What does TEXT Table contain? </span><br />
<br />
<span class="postbody1">Master text data, short text, long text, medium text
& </span><br />
<span class="postbody1">language key if it is language dependent </span><br />
<br />
<br />
<span class="postbody1">Q) What does Hierarchy table contain? </span><br />
<br />
<span class="postbody1">Master hierarchy data </span><br />
<br />
<br />
<span class="postbody1">Q) What is the advantage of extended STAR Schema? </span><br />
<br />
<span class="postbody1">Q). Differences between STAR Schema & Extended
Schema? </span><br />
<br />
<span class="postbody1">A) In STAR SCHEMA, A FACT Table in center, surrounded by </span><br />
<span class="postbody1">dimensional tables and the dimension tables contains of </span><br />
<span class="postbody1">master data. In Extended Schema the dimension tables does
</span><br />
<span class="postbody1">not contain master data, instead they are stored in </span><br />
<span class="postbody1">Masterdata tables divided into attributes, text & </span><br />
<span class="postbody1">hierarchy. These Masterdata & dimensional tables are
linked </span><br />
<span class="postbody1">with each other with SID keys. Masterdata tables are </span><br />
<span class="postbody1">independent of Infocube & reusability in other
InfoCubes. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) As to where in BW do you go to add a character like a
\; </span><br />
<span class="postbody1"># so that BW will accept it. This is transaction data
which </span><br />
<span class="postbody1">loads fine in the PSA but not the data target. </span><br />
<br />
<span class="postbody1">A) Check transaction SPRO ---Then click the
"Goggles"- </span><br />
<span class="postbody1">Button => Business </span><br />
<br />
<span class="postbody1">Information Warehouse => Global Settings => 2nd
point in </span><br />
<span class="postbody1">the list. I </span><br />
<br />
<span class="postbody1">hope you can use my "Guide" (my BW is in
german, so i don't </span><br />
<span class="postbody1">know all the english descriptions). </span><br />
<br />
<br />
<br />
<br />
<span class="postbody1">Q) Does data packets exits even if you don't enter the </span><br />
<span class="postbody1">master data, (when created)? </span><br />
<br />
<br />
<span class="postbody1">Q) When are Dimension ID's created? </span><br />
<br />
<span class="postbody1">A) When Transaction data is loaded into InfoCube. </span><br />
<br />
<br />
<span class="postbody1">Q) When are SID's generated? </span><br />
<br />
<span class="postbody1">A) When Master data loaded into Master Tables (Attr,
Text, </span><br />
<span class="postbody1">Hierarchies). </span><br />
<br />
<br />
<span class="postbody1">Q) How would we delete the data in ODS? </span><br />
<br />
<span class="postbody1">A) By request IDs, Selective deletion & change log
entry </span><br />
<span class="postbody1">deletion. </span><br />
<br />
<br />
<span class="postbody1">Q) How would we delete the data in change log table of
ODS? </span><br />
<br />
<span class="postbody1">A) Context menu of ODS </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;">
Manage </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Environment </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;">
change </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">log entries. </span><br />
<br />
<br />
<span class="postbody1">Q) What are the extra fields does PSA contain? </span><br />
<br />
<span class="postbody1">A) (4) Record id, Data packet … </span><br />
<br />
<br />
<span class="postbody1">Q) Partitioning possible for ODS? </span><br />
<br />
<span class="postbody1">A) No, It's possible only for Cube. </span><br />
<br />
<br />
<span class="postbody1">Q) Why partitioning? </span><br />
<br />
<span class="postbody1">A) For performance tuning. </span><br />
<br />
<br />
<span class="postbody1">Q) Have you ever tried to load data from 2 InfoPackages </span><br />
<span class="postbody1">into one cube? </span><br />
<br />
<span class="postbody1">A) Yes. </span><br />
<br />
<br />
<span class="postbody1">Q) Different types of Attributes? </span><br />
<br />
<span class="postbody1">A) Navigational attribute, Display attributes, Time </span><br />
<span class="postbody1">dependent attributes, Compounding attributes, Transitive </span><br />
<span class="postbody1">attributes, Currency attributes. </span><br />
<br />
<br />
<span class="postbody1">Q) Transitive Attributes? </span><br />
<br />
<span class="postbody1">A) Navigational attributes having nav attr…these nav
attrs </span><br />
<span class="postbody1">are called transitive attrs </span><br />
<br />
<br />
<span class="postbody1">Q) Navigational attribute? </span><br />
<br />
<span class="postbody1">A) Are used for drill down reporting (RRI). </span><br />
<br />
<br />
<span class="postbody1">Q) Display attributes? </span><br />
<br />
<span class="postbody1">A) You can show DISPLAY attributes in a report, which are
</span><br />
<span class="postbody1">used only for displaying. </span><br />
<br />
<br />
<span class="postbody1">Q) How does u recognize an attribute whether it is a </span><br />
<span class="postbody1">display attribute or not? </span><br />
<br />
<span class="postbody1">A) In Edit characteristics of char, on general tab checked
</span><br />
<span class="postbody1">as attribute only. </span><br />
<br />
<br />
<span class="postbody1">Q) Compounding attribute? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Time dependent attributes? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Currency attributes? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Authorization relevant object. Why authorization
needed? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) How do we convert Master data InfoObject to a Data </span><br />
<span class="postbody1">target? </span><br />
<span class="postbody1">A) InfoArea </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Infoprovider (context menu) </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;">
Insert </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">characteristic Data as DataTarget. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) How do we load the data if a FlatFile consists of both
</span><br />
<span class="postbody1">Master and Transaction data? </span><br />
<br />
<span class="postbody1">A) Using Flexible update method while creating
InfoSource. </span><br />
<br />
<br />
<span class="postbody1">Q) Steps in LIS are Extraction? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Steps in LO are Extraction? </span><br />
<br />
<span class="postbody1">A) * Maintain extract structures. (R/3) </span><br />
<br />
<span class="postbody1">* Maintain DataSources. (R/3) </span><br />
<br />
<span class="postbody1">* Replicate DataSource in BW. </span><br />
<br />
<span class="postbody1">* Assign InfoSources. </span><br />
<br />
<span class="postbody1">* Maintain communication structures/transfer rules. </span><br />
<br />
<span class="postbody1">* Maintain InfoCubes & Update rules. </span><br />
<br />
<span class="postbody1">* Activate extract structures. (R/3) </span><br />
<br />
<span class="postbody1">* Delete setup tables/setup extraction. (R/3) </span><br />
<br />
<span class="postbody1">* InfoPackage for the Delta initialization. </span><br />
<br />
<span class="postbody1">* Set-up periodic V3 update. (R/3) </span><br />
<br />
<span class="postbody1">* InfoPackage for Delta uploads. </span><br />
<br />
<br />
<span class="postbody1">Q) Steps in FlatFile Extraction? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Different types in LO's? </span><br />
<br />
<span class="postbody1">A) Direct Delta, Queued Delta, Serialized V3 update, </span><br />
<span class="postbody1">Unserialized V3 Update. </span><br />
<br />
<span class="postbody1">Direct Delta: - With every document posted in R/3, the </span><br />
<span class="postbody1">extraction data is transferred directly into the BW delta
</span><br />
<span class="postbody1">queue. Each document posting with delta extraction
becomes </span><br />
<span class="postbody1">exactly one LUW in the corresponding Delta queue. </span><br />
<br />
<br />
<span class="postbody1">Queued Delta: - The extraction data from the application
is </span><br />
<span class="postbody1">collected in extraction queue instead of as update data
and </span><br />
<span class="postbody1">can be transferred to the BW delta queue by an update </span><br />
<span class="postbody1">collection run, as in the V3 update. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) What does LO Cockpit contain? </span><br />
<br />
<span class="postbody1">A) * Maintaining Extract structure. </span><br />
<br />
<span class="postbody1">* Maintaining DataSources. </span><br />
<br />
<span class="postbody1">* Activating Updates. </span><br />
<br />
<span class="postbody1">* Controlling Updates. </span><br />
<br />
<br />
<span class="postbody1">Q) RSA6 --- Maintain DataSources. </span><br />
<br />
<br />
<span class="postbody1">Q) RSA7 ---- Delta Queue (allows you to monitor the
current </span><br />
<span class="postbody1">status of the delta attribute) </span><br />
<br />
<br />
<span class="postbody1">Q) RSA3 ---- Extract checker. </span><br />
<br />
<br />
<span class="postbody1">Q) LBW0 --- TCode for LIS. </span><br />
<br />
<br />
<span class="postbody1">Q) LBWG --- Delete set-up tables in LO's. </span><br />
<br />
<br />
<span class="postbody1">Q) OLI*BW --- Fill Set-up tables. </span><br />
<br />
<br />
<span class="postbody1">Q) LBWE ---- TCode for Logistics extractors. </span><br />
<br />
<br />
<span class="postbody1">Q) RSO2 --- Maintaining Generic DataSources. </span><br />
<br />
<br />
<span class="postbody1">Q) MC21 ----- Creating user-defined Information Structure
</span><br />
<span class="postbody1">for LIS (It is InfoSource in SAP BW). </span><br />
<br />
<br />
<span class="postbody1">Q) MC24 ---- Creating Updating rules for LO's. </span><br />
<br />
<br />
<span class="postbody1">Q) PFCG ---- Role maintenance, assign users to these
roles. </span><br />
<br />
<br />
<span class="postbody1">Q) SE03 -- Changeability of the BW namespace. </span><br />
<br />
<br />
<span class="postbody1">Q) RSDCUBEM --- For Delete, Change or Delete the
InfoCube. </span><br />
<br />
<br />
<span class="postbody1">Q) RSD5 -- Data packet characteristics maint. </span><br />
<br />
<br />
<span class="postbody1">Q) RSDBC - DB Connect </span><br />
<br />
<br />
<span class="postbody1">Q) RSMO --- Monitoring of Dataloads. </span><br />
<br />
<br />
<span class="postbody1">Q) RSCUSTV6 -- Partitioning of PSA. </span><br />
<br />
<br />
<span class="postbody1">Q) RSRT -- Query monitor. </span><br />
<br />
<br />
<span class="postbody1">Q) RSRV - Analysis and Repair of BW Objects </span><br />
<br />
<br />
<span class="postbody1">Q) RRMX - BEx Analyzer </span><br />
<br />
<br />
<span class="postbody1">Q) RSBBS - Report to Report interface (RRI). </span><br />
<br />
<br />
<span class="postbody1">Q) SPRO -- IMG (To make configurations in BW). </span><br />
<br />
<br />
<span class="postbody1">Q) RSDDV - Maintaining Aggregates. </span><br />
<br />
<br />
<span class="postbody1">Q) RSKC -- Character permit checker. </span><br />
<br />
<br />
<span class="postbody1">Q) ST22 - Checking ShortDump. </span><br />
<br />
<br />
<span class="postbody1">Q) SM37 - Scheduling Background jobs. </span><br />
<br />
<br />
<span class="postbody1">Q) RSBOH1 -- Open Hub Service: Create InfoSpoke. </span><br />
<br />
<br />
<span class="postbody1">Q) RSMONMESS -- "Messages for the monitor"
table. </span><br />
<br />
<br />
<span class="postbody1">Q) ROOSOURCE - Table to find out delta update methods. </span><br />
<br />
<br />
<span class="postbody1">Q) RODELTAM - Finding for modes of records (i.e. before </span><br />
<span class="postbody1">image & after image) </span><br />
<br />
<span class="postbody1">Q) SMOD - Definition </span><br />
<br />
<span class="postbody1">Q) CMOD - Project Management enhancing </span><br />
<br />
<span class="postbody1">Q) SPAU - Program Compare </span><br />
<br />
<span class="postbody1">Q) SE11 - ABAP Dictionary </span><br />
<br />
<span class="postbody1">Q) SE09 - Transport Organizer (workbench organizer) </span><br />
<br />
<span class="postbody1">Q) SE10 - Transport Organizer (Extended View) </span><br />
<br />
<span class="postbody1">Q) SBIW - Implementation guide </span><br />
<br />
<br />
<span class="postbody1">Q) Statistical Update? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) What are Process Chains? </span><br />
<br />
<span class="postbody1">A) TCode is RSPC, is a sequence of processes scheduled in
</span><br />
<span class="postbody1">the background & waiting to be triggered by a
specific </span><br />
<span class="postbody1">event. Process chains nothing but grouping processes. </span><br />
<span class="postbody1">Process variant (start variant) is the place the process </span><br />
<span class="postbody1">chain knows where to start. </span><br />
<br />
<span class="postbody1">There should be min and max one start variant in each </span><br />
<span class="postbody1">process chain, here we specify when should the process </span><br />
<span class="postbody1">chain start by giving date and time or if you want to
start </span><br />
<span class="postbody1">immediately </span><br />
<br />
<span class="postbody1">Some of theses processes trigger an event of their own
that </span><br />
<span class="postbody1">in-turn triggers other processes. </span><br />
<br />
<br />
<span class="postbody1">Ex: - Start chain </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Delete BCube indexes </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Load
data from </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">the source system to PSA </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<br />
<span class="postbody1">Load data from PSA to DataTarget ODS </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Load
data from ODS </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">to BCube </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Create Indexes for BCube a</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;">fter loading data </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">Create database statistics </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;">
Roll-Up data into the </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<span class="postbody1">aggregate </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Restart chain from beginning. </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<br />
<br />
<span class="postbody1">Q) What are Process Types & Process variant? </span><br />
<br />
<span class="postbody1">A) Process types are General services, Load Process &
</span><br />
<span class="postbody1">subsequent processing, Data Target Administration, </span><br />
<span class="postbody1">Reporting agent & Other BW services. </span><br />
<br />
<br />
<span class="postbody1">Process variant (start variant) is the place the process </span><br />
<span class="postbody1">type knows when & where to start. </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Difference between MasterData & Transaction
InfoPackage? </span><br />
<br />
<span class="postbody1">A) 5 tabs in Masterdata & 6 tabs in Transaction data,
the </span><br />
<span class="postbody1">extra tab in Transaction data is DATA TARGETS. </span><br />
<br />
<br />
<span class="postbody1">Q) Types of Updates? </span><br />
<br />
<span class="postbody1">A) Full Update, Init Delta Update & Delta Update. </span><br />
<br />
<br />
<span class="postbody1">Q) For Full update possible while loading data from R/3? </span><br />
<br />
<span class="postbody1">A) InfoPackage </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;"> Scheduler </span></span><span class="postbody1"><span style="font-family: Arial; font-size: 9.0pt; mso-ansi-language: EN-US;">→</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Verdana;">
Repair Re</span></span><span class="postbody1"><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;">quest flag (check). </span></span><span style="font-family: Verdana; font-size: 9.0pt; mso-ansi-language: EN-US;"><br />
<br />
<span class="postbody1">This is only possible when we use MM & SD modules. </span><br />
<br />
<br />
<span class="postbody1">Q) InfoPackage groups? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Explain the status of records in Active & change
log </span><br />
<span class="postbody1">tables in ODS when modified in source system? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Why it takes more time while loading the transaction </span><br />
<span class="postbody1">data even to load the transaction without master data (we
</span><br />
<span class="postbody1">check the checkbox, Always Update data, even if no master
</span><br />
<span class="postbody1">data exits for the data)? </span><br />
<br />
<span class="postbody1">A) Because while loading the data it has to create SID
keys </span><br />
<span class="postbody1">for transaction data. </span><br />
<br />
<br />
<span class="postbody1">Q) For what we use HIDE fields, SELECT fields & </span><br />
<span class="postbody1">CANCELLATION fields? </span><br />
<br />
<span class="postbody1">A) Selection fields-- The only purpose is when we check </span><br />
<span class="postbody1">this column, the field will appear in InfoPackage Data </span><br />
<span class="postbody1">selection tab. </span><br />
<br />
<span class="postbody1">Hide fields -- These fields are not transferred to BW </span><br />
<span class="postbody1">transfer structure. </span><br />
<br />
<span class="postbody1">Cancellation - It will reverse the posted documents of </span><br />
<span class="postbody1">keyfigures of customer defined by multiplying it with - </span><br />
<span class="postbody1">1...and nullifying the value. </span><br />
<br />
<span class="postbody1">I think this is reverse posting </span><br />
<br />
<br />
<span class="postbody1">Q) Transporting. </span><br />
<br />
<span class="postbody1">A) When it comes to transporting for R/3 and BW, u should
</span><br />
<span class="postbody1">always transport all the R/3 Objects first………once you </span><br />
<span class="postbody1">transport all the R/3 objects to the 2nd system, you have
</span><br />
<span class="postbody1">to replicate the datasources into the 2nd BW system…and </span><br />
<span class="postbody1">then transport BW objects. </span><br />
<br />
<span class="postbody1">First you will transport all the datasources from 1st R/3
</span><br />
<span class="postbody1">system to 2nd R/3 System. Second, you will replicate the </span><br />
<span class="postbody1">datasources from 2nd R/3 system into 2nd BW system.
Third, </span><br />
<span class="postbody1">you will transport all the BW Objects from 1st BW system
to </span><br />
<span class="postbody1">2nd BW system. </span><br />
<br />
<br />
<span class="postbody1">You have to send your extractors first to the
corresponding </span><br />
<span class="postbody1">R/3 Q Box and replicate that to BW. Then you have to do </span><br />
<span class="postbody1">this transport in BW. </span><br />
<br />
<br />
<span class="postbody1">Development, testing and then production </span><br />
<br />
<br />
<span class="postbody1">Q) Functionality of InitDelta & Delta Updates? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) What is Change-run ID? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) Currency conversions? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Difference between Calculated KeyFigure & Formula?
</span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<br />
<span class="postbody1">Q) When does a transfer structure contain more fields
than </span><br />
<span class="postbody1">the communication structure of an InfoSource? </span><br />
<br />
<span class="postbody1">A) If we use a routine to enhance a field in the </span><br />
<span class="postbody1">communication from several fields in the transfer </span><br />
<span class="postbody1">structure, the communication structure may contain more </span><br />
<span class="postbody1">fields. </span><br />
<br />
<span class="postbody1">A) The total no of InfoObjects in the communication </span><br />
<span class="postbody1">structure & Extract structure may be different, since
</span><br />
<span class="postbody1">InfoObjects can be copied to the communication structure </span><br />
<span class="postbody1">from all the extract structures. </span><br />
<br />
<br />
<span class="postbody1">Q) What is the PSA, technical name of PSA, Uses? </span><br />
<br />
<span class="postbody1">A) When we want to delete the data in InfoProvider &
again </span><br />
<span class="postbody1">want to re-load the data, at this stage we can directly </span><br />
<span class="postbody1">load from PSA not going to extract from R/3. </span><br />
<br />
<span class="postbody1">A) For cleansing purpose. </span><br />
<br />
<br />
<span class="postbody1">Q) Variables in Reporting? </span><br />
<br />
<span class="postbody1">A) Characteristics values, Text, Hierarchies, Hierarchy </span><br />
<span class="postbody1">nodes & Formula elements, </span><br />
<br />
<br />
<span class="postbody1">Q) Variable processing types in Reporting? </span><br />
<br />
<span class="postbody1">A) Manual, Replacement path, SAP Exit, Authorizations, </span><br />
<span class="postbody1">Customer Exit </span><br />
<br />
<br />
<span class="postbody1">Q) Why we use this RSRP0001 Enhancement? </span><br />
<br />
<span class="postbody1">A) For enhancing the Customer Exit in reporting. </span><br />
<br />
<br />
<span class="postbody1">Q) What is the use of Filters? </span><br />
<br />
<span class="postbody1">A) It Restricts Data. </span><br />
<br />
<br />
<span class="postbody1">Q) What is the use of Conditioning? </span><br />
<br />
<span class="postbody1">A) To retrieve data based on particular conditions like </span><br />
<span class="postbody1">less than, greater than, less than or equal etc., </span><br />
<br />
<br />
<span class="postbody1">Q) Difference between Filters & Conditioning? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) What is NODIM? </span><br />
<br />
<span class="postbody1">A) For example it converts 5lts + 5kgs = 10. </span><br />
<br />
<br />
<span class="postbody1">Q) What for Exception's? How can I get PINK color? </span><br />
<br />
<span class="postbody1">A) To differentiate values with colors, by adding
relevant </span><br />
<span class="postbody1">colors u can get pink. </span><br />
<br />
<br />
<span class="postbody1">Q) Why SAPLRSAP is used? </span><br />
<br />
<span class="postbody1">A) We use these function modules for enhancing in r/3. </span><br />
<br />
<br />
<span class="postbody1">Q) What are workbooks & uses? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<br />
<span class="postbody1">Q) Where are workbooks saved? </span><br />
<br />
<span class="postbody1">A) Workbooks are saved in favorites. </span><br />
<br />
<br />
<span class="postbody1">Q) Can Favorites accessed by other users? </span><br />
<br />
<span class="postbody1">A) No, they need authorization. </span><br />
<br />
<br />
<span class="postbody1">Q) What is InfoSet? </span><br />
<br />
<span class="postbody1">A) An InfoSet is a special view of a dataset, such as </span><br />
<span class="postbody1">logical database, table join, table, and sequential file,
</span><br />
<span class="postbody1">and is used by SAP Query as a source data. InfoSets </span><br />
<span class="postbody1">determine the tables or fields in these tables that can
be </span><br />
<span class="postbody1">referenced by a report. In most cases, InfoSets are based
</span><br />
<span class="postbody1">on logical databases. </span><br />
<br />
<span class="postbody1">SAP Query includes a component for maintaining InfoSets. </span><br />
<span class="postbody1">When you create an InfoSet, a DataSource in an
application </span><br />
<span class="postbody1">system is selected. </span><br />
<br />
<br />
<span class="postbody1">Navigating in a BW to an InfoSet Query, using one or more
</span><br />
<span class="postbody1">ODS objects or InfoObjects. </span><br />
<br />
<span class="postbody1">You can also drill-through to BEx queries and InfoSet </span><br />
<span class="postbody1">Queries from a second BW system, that is </span><br />
<br />
<span class="postbody1">Connected as a data mart. </span><br />
<br />
<br />
<span class="postbody1">_The InfoSet Query functions allow you to report using
flat </span><br />
<span class="postbody1">data tables (master data reporting). </span><br />
<br />
<span class="postbody1">Choose InfoObjects or ODS objects as data sources. These </span><br />
<span class="postbody1">can be connected using joins. </span><br />
<br />
<span class="postbody1">__You define the data sources in an InfoSet. An InfoSet
can </span><br />
<span class="postbody1">contain data from one or more tables that are connected
to </span><br />
<span class="postbody1">one another by key fields. </span><br />
<br />
<span class="postbody1">__The data sources specified in the InfoSet form the
basis </span><br />
<span class="postbody1">of the InfoSet Query. </span><br />
<br />
<br />
<span class="postbody1">Q) LO's? </span><br />
<br />
<span class="postbody1">A) </span><br />
<br />
<span class="postbody1">Synchronous update (V1 update) </span><br />
<br />
<span class="postbody1">Statistics update is carried out at the same time as the </span><br />
<span class="postbody1">document update in the same task. </span><br />
<br />
<span class="postbody1">• Asynchronous update (V2 update) </span><br />
<br />
<span class="postbody1">Document update and the statistics update take place </span><br />
<span class="postbody1">separately in different tasks. </span><br />
<br />
<span class="postbody1">• Collective update (V3 update) </span><br />
<br />
<span class="postbody1">Again, document update is separate from the statistics </span><br />
<span class="postbody1">update. However, in contrast to the V2 update, the V3 </span><br />
<span class="postbody1">collective statistics update must be scheduled as a job. </span><br />
<br />
<br />
<br />
<span class="postbody1">Successfully scheduling the update will ensure that all
the </span><br />
<span class="postbody1">necessary information </span><br />
<br />
<span class="postbody1">Structures are properly updated when new or existing </span><br />
<span class="postbody1">documents are processed. </span><br />
<br />
<span class="postbody1">Scheduling intervals should be based on the amount of </span><br />
<span class="postbody1">activity on a particular OLTP </span><br />
<br />
<span class="postbody1">system. For example, a development system with a
relatively low or no volume of new documents may only need to run the V3 update
on a weekly basis. A full production environment, </span><br />
<span class="postbody1">with hundreds of transactions per hour may have to be </span><br />
<span class="postbody1">updated every 15 to 30 minutes. </span><br />
<br />
<span class="postbody1">SAP standard background job scheduling functionality may
be </span><br />
<span class="postbody1">used in order to schedule the V3 updates successfully. It
</span><br />
<span class="postbody1">is possible to verify that all V3 updates are
successfully </span><br />
<span class="postbody1">completed via transaction SM13. This transaction will
take </span><br />
<span class="postbody1">you to the “UPDATE RECORDS: MAIN MENU” screen. At this </span><br />
<span class="postbody1">screen, enter asterisk as your user (for all users), flag
</span><br />
<span class="postbody1">the radio button 'All' and hit enter. </span></span><span class="postbody1"><span lang="EN-GB" style="font-family: Verdana; font-size: 9.0pt;">Any
outstanding V3 </span></span><span lang="EN-GB" style="font-family: Verdana; font-size: 9.0pt;"><br />
<span class="postbody1">updates will be listed. While a non-executed V3 update
will </span><br />
<span class="postbody1">not hinder your OLTP system, by administering the V3
update </span><br />
<span class="postbody1">jobs properly, your information structures will be
current </span><br />
<span class="postbody1">and overall performance will be improved.</span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span class="postbody1"><span lang="EN-GB" style="font-family: Verdana; font-size: 9.0pt;">==========<br style="mso-special-character: line-break;" />
<br style="mso-special-character: line-break;" />
</span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span lang="EN-GB" style="color: black; font-family: Arial; font-size: 10.0pt;">Some of the Real time question.<br />
Q) Under which menu path is the Test Workbench to be found, including in
earlier Releases?<br />
<br />
The menu path is: Tools - ABAP Workbench - Test - Test Workbench. <br />
<br />
Q) I want to delete a BEx query that is in Production system through request.
Is anyone aware about it?<br />
<br />
A) Have you tried the RSZDELETE transaction? <br />
<br />
Q) Errors while monitoring process chains.<br />
<br />
A) During data loading. Apart from them, in process chains you add so many
process types, for example after loading data into Info Cube, you rollup data
into aggregates, now this rolling up of data into aggregates is a process type
which you keep after the process type for loading data into Cube. This rolling
up into aggregates might fail. <br />
<br />
Another one is after you load data into ODS, you activate ODS data (another
process type) this might also fail. <br />
<br />
Q) In Monitor----- Details (Header/Status/Details) à Under Processing (data
packet): Everything OK à Context menu of Data Package 1 (1 Records): Everything
OK ---- Simulate update. (Here we can debug update rules or transfer rules.)<br />
<br />
SM50 à Program/Mode à Program à Debugging & debug this work process. </span></div>
<span lang="EN-GB">Q) PSA Cleansing.<br />
<br />
A) You know how to edit PSA. I don't think you can delete single records. You
have to delete entire PSA data for a request. <br />
<br />
Q) Can we make a datasource to support delta.<br />
<br />
A) If this is a custom (user-defined) datasource you can make the datasource
delta enabled. While creating datasource from RSO2, after entering datasource
name and pressing create, in the next screen there is one button at the top,
which says generic delta. If you want more details about this there is a
chapter in Extraction book, it's in last pages u find out.<br />
<br />
Generic delta services: - </span><br />
<span lang="EN-GB">Supports delta extraction for generic extractors according
to:<br />
<br />
Time stamp<br />
<br />
Calendar day<br />
<br />
Numeric pointer, such as document number & counter<br />
<br />
Only one of these attributes can be set as a delta attribute. </span><br />
<span lang="EN-GB">Delta extraction is supported for all generic extractors,
such as tables/views, SAP Query and function modules<br />
<br />
The delta queue (RSA7) allows you to monitor the current status of the delta
attribute </span><br />
<span lang="EN-GB"><br />
Q) Workbooks, as a general rule, should be transported with the role. <br />
<br />
Here are a couple of scenarios:<br />
<br />
1. If both the workbook and its role have been previously transported, then the
role does not need to be part of the transport.<br />
<br />
2. If the role exists in both dev and the target system but the workbook has
never been transported, and then you have a choice of transporting the role
(recommended) or just the workbook. If only the workbook is transported, then
an additional step will have to be taken after import: Locate the WorkbookID
via Table RSRWBINDEXT (in Dev and verify the same exists in the target system)
and proceed to manually add it to the role in the target system via Transaction
Code PFCG -- ALWAYS use control c/control v copy/paste for manually adding!<br />
<br />
3. If the role does not exist in the target system you should transport both
the role and workbook. Keep in mind that a workbook is an object unto itself
and has no dependencies on other objects. Thus, you do not receive an error
message from the transport of 'just a workbook' -- even though it may not be
visible, it will exist (verified via Table RSRWBINDEXT).<br />
<br />
Overall, as a general rule, you should transport roles with workbooks. </span><br />
<span lang="EN-GB"><br />
Q) How much time does it take to extract 1 million (10 lackhs) of records into
an infocube? <br />
<br />
A. This depends, if you have complex coding in update rules it will take longer
time, or else it will take less than 30 minutes. </span><br />
<span lang="EN-GB">Q) What are the five ASAP Methodologies? <br />
<br />
A: Project plan, Business Blue print, Realization, Final preparation &
Go-Live - support. </span><br />
<span lang="EN-GB">1. Project Preparation: In this phase, decision makers
define clear project objectives and an efficient decision making process (i.e.
Discussions with the client, like what are his needs and requirements etc.).
Project managers will be involved in this phase (I guess).<br />
<br />
A Project Charter is issued and an implementation strategy is outlined in this
phase.<br />
<br />
2. Business Blueprint: It is a detailed documentation of your company's
requirements. (i.e. what are the objects we need to develop are modified
depending on the client's requirements).<br />
<br />
3. Realization: In this only, the implementation of the project takes place
(development of objects etc) and we are involved in the project from here only.<br />
<br />
4. Final Preparation: Final preparation before going live i.e. testing,
conducting pre-go-live, end user training etc.<br />
<br />
End user training is given that is in the client site you train them how to
work with the new environment, as they are new to the technology.<br />
<br />
5. Go-Live & support: The project has gone live and it is into production.
The Project team will be supporting the end users. </span><br />
<span lang="EN-GB">Q) What is landscape of R/3 & what is landscape of BW.
Landscape of R/3 not sure.<br />
<br />
Then Landscape of b/w: u have the development system, testing system,
production system<br />
<br />
Development system: All the implementation part is done in this sys. (I.e.,
Analysis of objects developing, modification etc) and from here the objects are
transported to the testing system, but before transporting an initial test
known as Unit testing (testing of objects) is done in the development sys.<br />
<br />
Testing/Quality system: quality check is done in this system and integration
testing is done.<br />
<br />
Production system: All the extraction part takes place in this sys. </span><br />
<span lang="EN-GB"><br />
Q) How do you measure the size of infocube? <br />
<br />
A: In no of records. </span><br />
<span lang="EN-GB">Q). Difference between infocube and ODS? <br />
<br />
A: Infocube is structured as star schema (extended) where a fact table is
surrounded by different dim table that are linked with DIM'ids. And the data
wise, you will have aggregated data in the cubes. No overwrite functionality <br />
ODS is a flat structure (flat table) with no star schema concept and which will
have granular data (detailed level). Overwrite functionality. </span><br />
<span lang="EN-GB">Flat file datasources does not support 0recordmode in
extraction.<br />
<br />
x before, -after, n new, a add, d delete, r reverse </span><br />
<span lang="EN-GB"><br />
Q) Difference between display attributes and navigational attributes? <br />
<br />
A: Display attribute is one, which is used only for display purpose in the
report. Where as navigational attribute is used for drilling down in the
report. We don't need to maintain Navigational attribute in the cube as a
characteristic (that is the advantage) to drill down. <br />
<br />
Q. SOME DATA IS UPLOADED TWICE INTO INFOCUBE. HOW TO CORRECT IT? <br />
A: But how is it possible? If you load it manually twice, then you can delete
it by requestID. </span><br />
<span lang="EN-GB">Q. CAN U ADD A NEW FIELD AT THE ODS LEVEL? <br />
Sure you can. ODS is nothing but a table. </span><br />
<span lang="EN-GB">Q. CAN NUMBER OF DATASOURCES HAVE ONE INFOSOURCE? <br />
A) Yes of course. For example, for loading text and hierarchies we use
different data sources but the same InfoSource. </span><br />
<span lang="EN-GB">Q. BRIEF THE DATAFLOW IN BW. <br />
A) Data flows from transactional system to analytical system (BW). DataSources
on the transactional system needs to be replicated on BW side and attached to
infosource and update rules respectively. </span><br />
<span lang="EN-GB">Q. CURRENCY CONVERSIONS CAN BE WRITTEN IN UPDATE RULES. WHY
NOT IN TRANSFER RULES? </span><br />
<span lang="EN-GB">Q) WHAT IS PROCEDURE TO UPDATE DATA INTO DATA TARGETS? <br />
FULL and DELTA. </span><br />
<span lang="EN-GB">Q) AS WE USE Sbwnn, sbiw1, sbiw2 for delta update in LIS
THEN WHAT IS THE PROCEDURE IN LO-COCKPIT? <br />
No LIS in LO cockpit. We will have datasources and can be maintained (append
fields). Refer white paper on LO-Cockpit extractions. </span><br />
<span lang="EN-GB">Q) Why we delete the setup tables (LBWG) & fill them
(OLI*BW)?<br />
<br />
A) Initially we don't delete the setup tables but when we do change in extract
structure we go for it. We r changing the extract structure right, that means
there are some newly added fields in that which r not before. So to get the
required data (i.e.; the data which is required is taken and to avoid
redundancy) we delete n then fill the setup tables. </span><br />
<span lang="EN-GB">To refresh the statistical data. The extraction set up
reads the dataset that you want to process such as, customers orders with the
tables like VBAK, VBAP) & fills the relevant communication structure with
the data. The data is stored in cluster tables from where it is read when the
initialization is run. It is important that during initialization phase, no one
generates or modifies application data, at least until the tables can be set
up. </span><br />
<span lang="EN-GB">Q) SIGNIFICANCE of ODS? <br />
It holds granular data (detailed level). </span><br />
<span lang="EN-GB">Q) WHERE THE PSA DATA IS STORED? <br />
In PSA table. </span><br />
<span lang="EN-GB">Q) WHAT IS DATA SIZE? <br />
The volume of data one data target holds (in no. of records) </span><br />
<span lang="EN-GB">Q) Different types of INFOCUBES. <br />
Basic, Virtual (remote, sap remote and multi) </span><br />
<span lang="EN-GB">Virtual Cube is used for example, if you consider railways
reservation all the information has to be updated online. For designing the
Virtual cube you have to write the function module that is linking to table,
Virtual cube it is like a the structure, when ever the table is updated the
virtual cube will fetch the data from table and display report Online... FYI..
you will get the information : <span style="mso-field-code: " HYPERLINK \0022https\:\/\/www\.sdn\.sap\.com\/sdn\/index\.sdn\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">https://www.sdn.sap.com/sdn/index.sdn</span></span> and
search for Designing Virtual Cube and you will get a good material designing
the Function Module </span><br />
<span lang="EN-GB">Q) INFOSET QUERY. <br />
Can be made of ODS's and Characteristic InfoObjects with masterdata. </span><br />
<span lang="EN-GB">Q) IF THERE ARE 2 DATASOURCES HOW MANY TRANSFER STRUCTURES
ARE THERE. <br />
In R/3 or in BW? 2 in R/3 and 2 in BW </span><br />
<span lang="EN-GB">Q) ROUTINES? <br />
Exist in the InfoObject, transfer routines, update routines and start routine </span><br />
<span lang="EN-GB">Q) BRIEF SOME STRUCTURES USED IN BEX. <br />
Rows and Columns, you can create structures. </span><br />
<span lang="EN-GB">Q) WHAT ARE THE DIFFERENT VARIABLES USED IN BEX? <br />
Different Variable's are Texts, Formulas, Hierarchies, Hierarchy nodes &
Characteristic values. </span><br />
<span lang="EN-GB">Variable Types are <br />
<br />
Manual entry /default value <br />
Replacement path <br />
SAP exit <br />
Customer exit <br />
Authorization </span><br />
<span lang="EN-GB">Q) HOW MANY LEVELS YOU CAN GO IN REPORTING? <br />
You can drill down to any level by using Navigational attributes and jump
targets. </span><br />
<span lang="EN-GB">Q) WHAT ARE INDEXES? <br />
Indexes are data base indexes, which help in retrieving data fastly. </span><br />
<span lang="EN-GB">Q) DIFFERENCE BETWEEN 2.1 AND 3.X VERSIONS. <br />
Help! Refer documentation </span><br />
<span lang="EN-GB">Q) IS IT NESSESARY TO INITIALIZE EACH TIME THE DELTA UPDATE
IS USED? <br />
No. </span><br />
<span lang="EN-GB">Q) WHAT IS THE SIGNIFICANCE OF KPI'S? <br />
KPI's indicate the performance of a company. These are key figures </span><br />
<span lang="EN-GB">Q) AFTER THE DATA EXTRACTION WHAT IS THE IMAGE POSITION. <br />
After image (correct me if I am wrong) </span><br />
<span lang="EN-GB">Q) REPORTING AND RESTRICTIONS. <br />
Help! Refer documentation. </span><br />
<span lang="EN-GB">Q) TOOLS USED FOR PERFORMANCE TUNING. <br />
ST22, Number ranges, delete indexes before load. Etc </span><br />
<span lang="EN-GB">Q) PROCESS CHAINS: IF U has USED IT THEN HOW WILL U
SCHEDULING DATA DAILY. <br />
There should be some tool to run the job daily (SM37 jobs) </span><br />
<span lang="EN-GB">Q) AUTHORIZATIONS. <br />
Profile generator </span><br />
<span lang="EN-GB">Q) WEB REPORTING. <br />
What are you expecting?? </span><br />
<span lang="EN-GB">Q) CAN CHARECTERSTIC INFOOBJECT CAN BE INFOPROVIDER. <br />
Of course </span><br />
<span lang="EN-GB">Q) PROCEDURES OF REPORTING ON MULTICUBES <br />
Refer help. What are you expecting? MultiCube works on Union condition </span><br />
<span lang="EN-GB">Q) EXPLAIN TRANPSORTATION OF OBJECTS? <br />
Dev---àQ and Dev-------àP</span><br />
<span lang="EN-GB">Q) What types of partitioning are there for BW?<br />
<br />
There are two Partitioning Performance aspects for BW (Cube & PSA) <br />
Query Data Retrieval Performance Improvement: <br />
Partitioning by (say) Date Range improves data retrieval by making best use of
database <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">data range</span></span> execution plans and indexes (of say
Oracle database engine). <br />
B) Transactional Load Partitioning Improvement: <br />
Partitioning based on expected load volumes and data element sizes. Improves
data loading into PSA and Cubes by infopackages (Eg. without timeouts). <br />
<br />
Q) How can I compare data in R/3 with data in a BW Cube after the daily delta
loads? Are there any standard procedures for checking them or matching the
number of records?<br />
<br />
A) You can go to R/3 TCode RSA3 and run the extractor. It will give you the number
of records extracted. Then go to BW Monitor to check the number of records in
the PSA and check to see if it is the same & also in the monitor header
tab. <br />
A) RSA3 is a simple extractor checker program that allows you to rule out
extracts problems in R/3. It is simple to use, but only really tells you if the
extractor works. Since records that get updated into Cubes/ODS structures are
controlled by Update Rules, you will not be able to determine what is in the
Cube compared to what is in the R/3 environment. You will need to compare
records on a 1:1 basis against records in R/3 transactions for the functional
area in question. I would recommend enlisting the help of the end user
community to assist since they presumably know the data. <br />
<br />
To use RSA3, go to it and enter the extractor ex: 2LIS_02_HDR. Click execute
and you will see the record count, you can also go to display that data. You
are not modifying anything so what you do in RSA3 has no effect on data quality
afterwards. However, it will not tell you how many records should be expected
in BW for a given load. You have that information in the monitor RSMO during
and after data loads. From RSMO for a given load you can determine how many
records were passed through the transfer rules from R/3, how many targets were
updated, and how many records passed through the Update Rules. It also gives
you error messages from the PSA. </span><br />
<span lang="EN-GB"><br />
Q) Types of Transfer Rules?<br />
<br />
A) Field to Field mapping, Constant, Variable & routine. </span><br />
<span lang="EN-GB">Q) Types of Update Rules?<br />
<br />
A) (Check box), Return table </span><br />
<span lang="EN-GB">Q) Transfer Routine?<br />
<br />
A) Routines, which we write in, transfer rules. </span><br />
<span lang="EN-GB">Q) Update Routine?<br />
<br />
A) Routines, which we write in Update rules </span><br />
<span lang="EN-GB">Q) What is the difference between writing a routine in
transfer rules and writing a routine in update rules?<br />
<br />
A) If you are using the same InfoSource to update data in more than one data
target its better u write in transfer rules because u can assign one InfoSource
to more than one data target & and what ever logic u write in update rules
it is specific to particular one data target. </span><br />
<span lang="EN-GB">Q) Routine with Return Table.<br />
<br />
A) Update rules generally only have one return value. However, you can create a
routine in the tab strip key figure calculation, by choosing checkbox Return
table. The corresponding key figure routine then no longer has a return value,
but a return table. You can then generate as many key figure values, as you
like from one data record. </span><br />
<span lang="EN-GB"><br />
Q) Start routines?<br />
<br />
A) Start routines u can write in both updates rules and transfer rules, suppose
you want to restrict (delete) some records based on conditions before getting
loaded into data targets, then you can specify this in update rules-start
routine. <br />
<br />
Ex: - Delete Data_Package ani ante it will delete a record based on the
condition </span><br />
<span lang="EN-GB"><br />
Q) X & Y Tables?<br />
<br />
X-table = A table to link material SIDs with SIDs for time-independent
navigation attributes.<br />
<br />
Y-table = A table to link material SIDs with SIDS for time-dependent navigation
attributes.<br />
<br />
There are four types of sid tables <br />
<br />
X time independent navigational attributes sid tables<br />
<br />
Y time dependent navigational attributes sid tables<br />
<br />
H hierarchy sid tables<br />
<br />
I hierarchy structure sid tables </span><br />
<span lang="EN-GB">Q) Filters & Restricted Key figures (real time example)<br />
<br />
Restricted KF's u can have for an SD cube: billed quantity, billing value, no:
of billing documents as RKF's. </span><br />
<span lang="EN-GB">Q) Line-Item Dimension (give me an real time example)<br />
<br />
Line-Item Dimension: Invoice no: or Doc no: is a real time example </span><br />
<span lang="EN-GB"><br />
Q) What does the number in the 'Total' column in Transaction RSA7 mean? <br />
<br />
A) The 'Total' column displays the number of LUWs that were written in the
delta queue and that have not yet been confirmed. The number includes the LUWs
of the last delta request (for repetition of a delta request) and the LUWs for
the next delta request. A LUW only disappears from the RSA7 display when it has
been transferred to the BW System and a new delta request has been received
from the BW System. </span><br />
<span lang="EN-GB">Q) How to know in which table (SAP BW) contains Technical
Name / Description and creation data of a particular Reports. Reports that are
created using BEx Analyzer.<br />
<br />
A) There is no such table in BW if you want to know such details while you are
opening a particular query press properties button you will come to know all
the details that you wanted.<br />
<br />
You will find your information about technical names and description about
queries in the following tables. Directory of all reports (Table RSRREPDIR) and
Directory of the reporting component elements (Table RSZELTDIR) for workbooks
and the connections to queries check Where- used list for reports in workbooks
(Table RSRWORKBOOK) Titles of Excel Workbooks in InfoCatalog (Table
RSRWBINDEXT) </span><br />
<span lang="EN-GB">Q) What is a LUW in the delta queue?<br />
<br />
A) A LUW from the point of view of the delta queue can be an individual
document, a group of documents from a collective run or a whole data packet of
an application extractor. </span><br />
<span lang="EN-GB">Q) Why does the number in the 'Total' column in the
overview screen of Transaction RSA7 differ from the number of data records that
is displayed when you call the detail view? <br />
<br />
A) The number on the overview screen corresponds to the total of LUWs (see also
first question) that were written to the qRFC queue and that have not yet been
confirmed. The detail screen displays the records contained in the LUWs. Both,
the records belonging to the previous delta request and the records that do not
meet the selection conditions of the preceding delta init requests are filtered
out. Thus, only the records that are ready for the next delta request are
displayed on the detail screen. In the detail screen of Transaction RSA7, a
possibly existing customer exit is not taken into account. </span><br />
<span lang="EN-GB">Q) Why does Transaction RSA7 still display LUWs on the
overview screen after successful delta loading? <br />
<br />
A) Only when a new delta has been requested does the source system learn that
the previous delta was successfully loaded to the BW System. Then, the LUWs of
the previous delta may be confirmed (and also deleted). In the meantime, the
LUWs must be kept for a possible delta request repetition. In particular, the
number on the overview screen does not change when the first delta was loaded
to the BW System. </span><br />
<span lang="EN-GB">Q) Why are selections not taken into account when the delta
queue is filled? <br />
<br />
A) Filtering according to selections takes place when the system reads from the
delta queue. This is necessary for reasons of performance. </span><br />
<span lang="EN-GB">Q) Why is there a DataSource with '0' records in RSA7 if
delta exists and has also been loaded successfully? <br />
<br />
It is most likely that this is a DataSource that does not send delta data to
the BW System via the delta queue but directly via the extractor (delta for
master data using ALE change pointers). Such a DataSource should not be
displayed in RSA7. This error is corrected with BW 2.0B Support Package 11. </span><br />
<span lang="EN-GB">Q) Do the entries in table ROIDOCPRMS have an impact on the
performance of the loading procedure from the delta queue? <br />
<br />
A) The impact is limited. If performance problems are related to the loading
process from the delta queue, then refer to the application-specific notes (for
example in the CO-PA area, in the logistics cockpit area and so on). <br />
<br />
Caution: As of Plug In 2000.2 patch 3 the entries in table ROIDOCPRMS are as
effective for the delta queue as for a full update. Please note, however, that
LUWs are not split during data loading for consistency reasons. This means that
when very large LUWs are written to the DeltaQueue, the actual package size may
differ considerably from the MAXSIZE and MAXLINES parameters. </span><br />
<span lang="EN-GB">Q) Why does it take so long to display the data in the
delta queue (for example approximately 2 hours)? <br />
<br />
A) With Plug In 2001.1 the display was changed: the user has the option of
defining the amount of data to be displayed, to restrict it, to selectively
choose the number of a data record, to make a distinction between the 'actual'
delta data and the data intended for repetition and so on. </span><br />
<span lang="EN-GB">Q) What is the purpose of function 'Delete data and meta
data in a queue' in RSA7? What exactly is deleted? <br />
<br />
A) You should act with extreme caution when you use the deletion function in
the delta queue. It is comparable to deleting an InitDelta in the BW System and
should preferably be executed there. You do not only delete all data of this
DataSource for the affected BW System, but also lose the entire information
concerning the delta initialization. Then you can only request new deltas after
another delta initialization. <br />
<br />
When you delete the data, the LUWs kept in the qRFC queue for the corresponding
target system are confirmed. Physical deletion only takes place in the qRFC
outbound queue if there are no more references to the LUWs. <br />
<br />
The deletion function is for example intended for a case where the BW System,
from which the delta initialization was originally executed, no longer exists
or can no longer be accessed. </span><br />
<span lang="EN-GB">Q) Why does it take so long to delete from the delta queue
(for example half a day)? <br />
<br />
A) Import PlugIn 2000.2 patch 3. With this patch the performance during
deletion is considerably improved. </span><br />
<span lang="EN-GB">Q) Why is the delta queue not updated when you start the V3
update in the logistics cockpit area? <br />
<br />
A) It is most likely that a delta initialization had not yet run or that the
delta initialization was not successful. A successful delta initialization (the
corresponding request must have QM status 'green' in the BW System) is a
prerequisite for the application data being written in the delta queue. </span><br />
<span lang="EN-GB">Q) What is the relationship between RSA7 and the qRFC
monitor (Transaction SMQ1)? <br />
<br />
A) The qRFC monitor basically displays the same data as RSA7. The internal
queue name must be used for selection on the initial screen of the qRFC
monitor. This is made up of the prefix 'BW, the client and the short name of
the DataSource. For DataSources whose name are 19 characters long or shorter,
the short name corresponds to the name of the DataSource. For DataSources whose
name is longer than 19 characters (for delta-capable DataSources only possible
as of PlugIn 2001.1) the short name is assigned in table ROOSSHORTN. <br />
<br />
In the qRFC monitor you cannot distinguish between repeatable and new LUWs.
Moreover, the data of a LUW is displayed in an unstructured manner there. </span><br />
<span lang="EN-GB">Q) Why are the data in the delta queue although the V3
update was not started? <br />
<br />
A) Data was posted in background. Then, the records are updated directly in the
delta queue (RSA7). This happens in particular during automatic goods receipt
posting (MRRS). There is no duplicate transfer of records to the BW system. See
Note 417189. </span><br />
<span lang="EN-GB">Q) Why does button 'Repeatable' on the RSA7 data details
screen not only show data loaded into BW during the last delta but also data
that were newly added, i.e. 'pure' delta records? <br />
<br />
A) Was programmed in a way that the request in repeat mode fetches both
actually repeatable (old) data and new data from the source system. </span><br />
<span lang="EN-GB">Q) I loaded several delta inits with various selections.
For which one is the delta loaded? <br />
<br />
A) For delta, all selections made via delta inits are summed up. This means, a
delta for the 'total' of all delta initializations is loaded. </span><br />
<span lang="EN-GB">Q) How many selections for delta inits are possible in the
system? <br />
<br />
A) With simple selections (intervals without complicated join conditions or
single values), you can make up to about 100 delta inits. It should not be
more. <br />
<br />
With complicated selection conditions, it should be only up to 10-20 delta
inits. <br />
<br />
Reason: With many selection conditions that are joined in a complicated way,
too many 'where' lines are generated in the generated ABAP source code that may
exceed the memory limit. </span><br />
<span lang="EN-GB">Q) I intend to copy the source system, i.e. make a client
copy. What will happen with may delta? Should I initialize again after that? <br />
<br />
A) Before you copy a source client or source system, make sure that your deltas
have been fetched from the DeltaQueue into BW and that no delta is pending.
After the client copy, an inconsistency might occur between BW delta tables and
the OLTP delta tables as described in Note 405943. After the client copy, Table
ROOSPRMSC will probably be empty in the OLTP since this table is
client-independent. After the system copy, the table will contain the entries with
the old logical system name that are no longer useful for further delta loading
from the new logical system. The delta must be initialized in any case since
delta depends on both the BW system and the source system. Even if no dump
'MESSAGE_TYPE_X' occurs in BW when editing or creating an InfoPackage, you
should expect that the delta have to be initialized after the copy. </span><br />
<span lang="EN-GB">Q) Is it allowed in Transaction SMQ1 to use the functions
for manual control of processes? <br />
<br />
A) Use SMQ1 as an instrument for diagnosis and control only. Make changes to BW
queues only after informing the BW Support or only if this is explicitly
requested in a note for component 'BC-BW' or 'BW-WHM-SAPI'. </span><br />
<span lang="EN-GB">Q) Despite of the delta request being started after
completion of the collective run (V3 update), it does not contain all
documents. Only another delta request loads the missing documents into BW. What
is the cause for this "splitting"? <br />
<br />
A) The collective run submits the open V2 documents for processing to the task
handler, which processes them in one or several parallel update processes in an
asynchronous way. For this reason, plan a sufficiently large "safety time
window" between the end of the collective run in the source system and the
start of the delta request in BW. An alternative solution where this problem
does not occur is described in Note 505700. </span><br />
<span lang="EN-GB">Q) Despite my deleting the delta init, LUWs are still
written into the DeltaQueue? <br />
<br />
A) In general, delta initializations and deletions of delta inits should always
be carried out at a time when no posting takes place. Otherwise, buffer
problems may occur: If a user started the internal mode at a time when the
delta initialization was still active, he/she posts data into the queue even
though the initialization had been deleted in the meantime. This is the case in
your system. </span><br />
<span lang="EN-GB">Q) In SMQ1 (qRFC Monitor) I have status 'NOSEND'. In the
table TRFCQOUT, some entries have the status 'READY', others 'RECORDED'.
ARFCSSTATE is 'READ'. What do these statuses mean? Which values in the field 'Status'
mean what and which values are correct and which are alarming? Are the statuses
BW-specific or generally valid in qRFC? <br />
<br />
A) Table TRFCQOUT and ARFCSSTATE: Status READ means that the record was read
once either in a delta request or in a repetition of the delta request.
However, this does not mean that the record has successfully reached the BW
yet. The status READY in the TRFCQOUT and RECORDED in the ARFCSSTATE means that
the record has been written into the DeltaQueue and will be loaded into the BW
with the next delta request or a repetition of a delta. In any case only the
statuses READ, READY and RECORDED in both tables are considered to be valid.
The status EXECUTED in TRFCQOUT can occur temporarily. It is set before
starting a DeltaExtraction for all records with status READ present at that
time. The records with status EXECUTED are usually deleted from the queue in
packages within a delta request directly after setting the status before
extracting a new delta. If you see such records, it means that either a process
which is confirming and deleting records which have been loaded into the BW is
successfully running at the moment, or, if the records remain in the table for
a longer period of time with status EXECUTED, it is likely that there are problems
with deleting the records which have already been successfully been loaded into
the BW. In this state, no more deltas are loaded into the BW. Every other
status is an indicator for an error or an inconsistency. NOSEND in SMQ1 means
nothing (see note 378903). <br />
<br />
The value 'U' in field 'NOSEND' of table TRFCQOUT is discomforting. </span><br />
<span lang="EN-GB">Q) The extract structure was changed when the DeltaQueue
was empty. Afterwards new delta records were written to the DeltaQueue. When
loading the delta into the PSA, it shows that some fields were moved. The same
result occurs when the contents of the DeltaQueue are listed via the detail
display. Why are the data displayed differently? What can be done? <br />
<br />
Make sure that the change of the extract structure is also reflected in the
database and that all servers are synchronized. We recommend to reset the
buffers using Transaction $SYNC. If the extract structure change is not
communicated synchronously to the server where delta records are being created,
the records are written with the old structure until the new structure has been
generated. This may have disastrous consequences for the delta. <br />
<br />
When the problem occurs, the delta needs to be re-initialized. </span><br />
<span lang="EN-GB">Q) How and where can I control whether a repeat delta is
requested? <br />
<br />
A) Via the status of the last delta in the BW Request Monitor. If the request
is RED, the next load will be of type 'Repeat'. If you need to repeat the last
load for certain reasons, set the request in the monitor to red manually. For
the contents of the repeat see Question 14. Delta requests set to red despite
of data being already updated lead to duplicate records in a subsequent repeat,
if they have not been deleted from the data targets concerned before. </span><br />
<span lang="EN-GB">Q) As of PI 2003.1, the Logistic Cockpit offers various
types of update methods. Which update method is recommended in logistics?
According to which criteria should the decision be made? How can I choose an
update method in logistics? <br />
<br />
See the recommendation in Note 505700. </span><br />
<span lang="EN-GB">Q) Are there particular recommendations regarding the data
volume the DeltaQueue may grow to without facing the danger of a read failure
due to memory problems? <br />
<br />
A) There is no strict limit (except for the restricted number range of the
24-digit QCOUNT counter in the LUW management table - which is of no practical
importance, however - or the restrictions regarding the volume and number of
records in a database table). <br />
<br />
When estimating "smooth" limits, both the number of LUWs is important
and the average data volume per LUW. As a rule, we recommend to bundle data
(usually documents) already when writing to the DeltaQueue to keep number of
LUWs small (partly this can be set in the applications, e.g. in the Logistics
Cockpit). The data volume of a single LUW should not be considerably larger
than 10% of the memory available to the work process for data extraction (in a
32-bit architecture with a memory volume of about 1GByte per work process, 100
Mbytes per LUW should not be exceeded). That limit is of rather small practical
importance as well since a comparable limit already applies when writing to the
DeltaQueue. If the limit is observed, correct reading is guaranteed in most
cases. <br />
<br />
If the number of LUWs cannot be reduced by bundling application transactions,
you should at least make sure that the data are fetched from all connected BWs
as quickly as possible. But for other, BW-specific, reasons, the frequency
should not be higher than one DeltaRequest per hour. <br />
<br />
To avoid memory problems, a program-internal limit ensures that never more than
1 million LUWs are read and fetched from the database per DeltaRequest. If this
limit is reached within a request, the DeltaQueue must be emptied by several
successive DeltaRequests. We recommend, however, to try not to reach that limit
but trigger the fetching of data from the connected BWs already when the number
of LUWs reaches a 5-digit value. </span><br />
<span lang="EN-GB"><br />
Q) I would like to display the date the data was uploaded on the report.
Usually, we load the transactional data nightly. Is there any easy way to
include this information on the report for users? So that they know the
validity of the report. <br />
<br />
A) If I understand your requirement correctly, you want to display the date on
which data was loaded into the data target from which the report is being
executed. If it is so, configure your workbook to display the text elements in
the report. This displays the relevance of data field, which is the date on
which the data load has taken place. </span><br />
<span lang="EN-GB">Q) Can we filter the fields at Transfer Structure?<br />
<br />
Q) Can we load data directly into infoobject with out extraction is it
possible. <br />
<br />
Yes. We can copy from other infoobject if it is same. We load data from PSA if
it is already in PSA. </span><br />
<span lang="EN-GB">Q) HOW MANY DAYS CAN WE KEEP THE DATA IN PSA, IF WE R
SHEDULED DAILY, WEEKLY AND MONTHLY. <br />
<br />
a) We can set the time. </span><br />
<span lang="EN-GB">Q) HOW CAN U GET THE DATA FROM CLIENT IF U R WORKING ON
OFFSHORE PROJECTS. THROUGH WHICH NETWORK. <br />
<br />
a) VPN…………….Virtual Private Network, VPN is nothing but one sort of network
where we can connect to the client systems sitting in offshore through RAS
(Remote access server). </span><br />
<span lang="EN-GB">Q) HOW CAN U ANALIZE THE PROJECT AT FIRST? <br />
<br />
Prepare Project Plan and Environment <br />
Define Project Management Standards and <br />
<br />
Procedures <br />
Define Implementation Standards and Procedures<br />
<br />
Testing & Go-live + supporting. </span><br />
<span lang="EN-GB">Q) THERE is one ODS AND 4 INFOCUBES. WE SEND DATA AT TIME
TO ALL CUBES IF ONE CUBE GOT LOCK ERROR. HOW CAN U RECTIFY THE ERROR? <br />
<br />
Go to TCode sm66 then see which one is locked select that pid from there and
goto sm12 <br />
TCode then unlock it this is happened when lock errors are occurred when u
scheduled. </span><br />
<span lang="EN-GB">Q) Can anybody tell me how to add a navigational attribute
in the BEx report in the rows?<br />
<br />
A) Expand dimension under left side panel (that is infocube panel) select than
navigational attributes drag and drop under rows panel. </span><br />
<span lang="EN-GB">Q) IF ANY TRASACTION CODE LIKE SMPT OR STMT. <br />
<br />
In current systems (BW 3.0B and R/3 4.6B) these Tcodes don't exist! </span><br />
<span lang="EN-GB">Q) WHAT IS TRANSACTIONAL CUBE?<br />
<br />
A) Transactional InfoCubes differ from standard InfoCubes in that the former
have an improved write access performance level. Standard InfoCubes are
technically optimized for read-only access and for a comparatively small number
of simultaneous accesses. Instead, the transactional InfoCube was developed to
meet the demands of SAP Strategic Enterprise Management (SEM), meaning that,
data is written to the InfoCube (possibly by several users at the same time)
and re-read as soon as possible. Standard Basic cubes are not suitable for
this. </span><br />
<span lang="EN-GB">Q) Is there any way to delete cube contents within update
rules from an ODS data source? The reason for this would be to delete (or zero
out) a cube record in an "Open Order" cube if the open order quantity
was 0. <br />
I've tried using the 0recordmode but that doesn't work. Also, would it <br />
be easier to write a program that would be run after the load and delete <br />
the records with a zero open qty? <br />
<br />
A) START routine for update rules u can write ABAP code.<br />
<br />
A) Yap, you can do it. Create a start routine in Update rule. <br />
<br />
It is not "Deleting cube contents with update rules" It is only
possible to avoid that some content is updated into the InfoCube using the
start routine. Loop at all the records and delete the record that has the
condition. "If the open order quantity was 0" You have to think also
in before and after images in case of a delta upload. In that case you may
delete the change record and keep the old and after the change the wrong
information. </span><br />
<span lang="EN-GB">Q) I am not able to access a node in hierarchy directly
using variables for reports. When I am using Tcode RSZV it is giving a message
that it doesn't exist in BW 3.0 and it is embedded in BEx. Can any one tell me
the other options to get the same functionality in BEx?<br />
<br />
A) Tcode RSZV is used in the earlier version of 3.0B only. From 3.0B onwards,
it's possible in the Query Designer (BEx) itself. Just right click on the
InfoObject for which you want to use as variables and precede further selecting
variable type and processing types. </span><br />
<span lang="EN-GB">Q) Wondering how can I get the values, for an example, if I
run a report for month range 01/2004 - 10/2004 then monthly value is actually
divide by the number of months that I selected. Which variable should I use? </span><br />
<span lang="EN-GB">Q) Why is it every time I switch from Info Provider to
InfoObject or from one item to another while in modeling I always get this
message " Reading Data " or "constructing workbench" in it
runs for minutes.... anyway to stop this? </span><br />
<span lang="EN-GB">Q) Can any one give me info on how the BW delta works also
would like to know about 'before image and after image' am currently in a BW
project and have to write start routines for delta load. </span><br />
<span lang="EN-GB">Q) I am very new to BW. I would like to clarify a doubt
regarding Delta extractor. If I am correct, by using delta extractors the data
that has already been scheduled will not be uploaded again. Say for a specific
scenario, Sales. Now I have uploaded all the sales order created till yesterday
into the cube. Now say I make changes to any of the open record, which was
already uploaded. Now what happens when I schedule it again? Will the same
record be uploaded again with the changes or will the changes get affected to
the previous record. <br />
<br />
A) </span><br />
<span lang="EN-GB">Q) In BW we need to write abap routines. I wish to know
when and what type of abap routines we got to write. Also, are these routines
written in update rules? I will be glad, if this is clarified with real-time
scenarios and few examples?<br />
<br />
A) Over here we write our routines in the start routines in the update rules or
in the transfer structure (you can choose between writing them in the start
routines or directly behind the different characteristics. In the transfer
structure you just click on the yellow triangle behind a characteristic and
choose "routine". In the update rules you can choose "start
routine" or click on the triangle with the green square behind an
individual characteristic. Usually we only use start routine when it does not
concern one single characteristic (for example when you have to read the same
table for 4 characteristics). I hope this helps. </span><br />
<span lang="EN-GB">We used ABAP Routines for example:<br />
<br />
To convert to Uppercase (transfer structure)<br />
<br />
To convert Values out of a third party tool with different keys into the same
keys as our SAP System uses (transfer structure)<br />
<br />
To select only a part of the data for from an infosource updating the InfoCube
(Start Routine) etc. </span><br />
<span lang="EN-GB">Q) What is ODS?<br />
<br />
A) An ODS object acts as a storage location for consolidated and cleaned-up
transaction data (transaction data or master data, for example) on the document
(atomic) level.<br />
<br />
This data can be evaluated using a BEx query.<br />
<br />
Standard ODS Object<br />
<br />
Transactional ODS object: <br />
<br />
The data is immediately available here for reporting. For implementation,
compare with the Transactional ODS Object.<br />
<br />
A transactional ODS object differs from a standard ODS object in the way it
prepares data. In a standard ODS object, data is stored in different versions
((new) delta, active, (change log) modified), where as a transactional ODS
object contains the data in a single version. Therefore, data is stored in
precisely the same form in which it was written to the transactional ODS object
by the application. In BW, you can use a transaction ODS object as a data
target for an analysis process.<br />
<br />
The transactional ODS object is also required by diverse applications, such as
SAP Strategic Enterprise Management (SEM) for example, as well as other
external applications.<br />
<br />
Transactional ODS objects allow data to be available quickly. The data from
this kind of ODS object is accessed transactionally, that is, data is written
to the ODS object (possibly by several users at the same time) and reread as
soon as possible. <br />
<br />
It offers no replacement for the standard ODS object. Instead, an additional
function displays those that can be used for special applications.<br />
<br />
The transactional ODS object simply consists of a table for active data. It retrieves
its data from external systems via fill- or delete- APIs. The loading process
is not supported by the BW system. The advantage to the way it is structured is
that data is easy to access. They are made available for reporting immediately
after being loaded. </span><br />
<span lang="EN-GB"><br />
Q) What does InfoCube contains?<br />
<br />
A) Each InfoCube has one FactTable & a maximum of 16 (13+3 system defined,
time, unit & data packet) dimensions. </span><br />
<span lang="EN-GB">Q) What does FACT Table contain?<br />
<br />
A FactTable consists of KeyFigures. </span><br />
<span lang="EN-GB">Each Fact Table can contain a maximum of 233 key figures.<br />
<br />
Dimension can contain up to 248 freely available characteristics. </span><br />
<span lang="EN-GB">Q) How many dimensions are in a CUBE?<br />
<br />
A) 16 dimensions. (13 user defined & 3 system pre-defined <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">time, unit & data packet</span></span>) </span><br />
<span lang="EN-GB">Q) What does SID Table contain?<br />
<br />
SID keys linked with dimension table & master data tables (attributes,
texts, hierarchies) </span><br />
<span lang="EN-GB">Q) What does ATTRIBUTE Table contain?<br />
<br />
Master attribute data </span><br />
<span lang="EN-GB">Q) What does TEXT Table contain?<br />
<br />
Master text data, short text, long text, medium text & language key if it
is language dependent </span><br />
<span lang="EN-GB">Q) What does Hierarchy table contain?<br />
<br />
Master hierarchy data </span><br />
<span lang="EN-GB">Q) What is the advantage of extended STAR Schema?<br />
<br />
Q). Differences between STAR Schema & Extended Schema?<br />
<br />
A) In STAR SCHEMA, A FACT Table in center, surrounded by dimensional tables and
the dimension tables contains of master data. In Extended Schema the dimension
tables does not contain master data, instead they are stored in Masterdata
tables divided into attributes, text & hierarchy. These Masterdata &
dimensional tables are linked with each other with SID keys. Masterdata tables
are independent of Infocube & reusability in other InfoCubes. </span><br />
<span lang="EN-GB"><br />
Q) As to where in BW do you go to add a character like a \; # so that BW will
accept it. This is transaction data which loads fine in the PSA but not the
data target.<br />
<br />
A) Check transaction SPRO ---Then click the "Goggles"-Button =>
Business <br />
<br />
Information Warehouse => Global Settings => 2nd point in the list. I <br />
<br />
hope you can use my "Guide" (my BW is in german, so i don't know all
the english descriptions). </span><br />
<span lang="EN-GB">Q) Does data packets exits even if you don't enter the
master data, (when created)? </span><br />
<span lang="EN-GB">Q) When are Dimension ID's created?<br />
<br />
A) When Transaction data is loaded into InfoCube. </span><br />
<span lang="EN-GB">Q) When are SID's generated?<br />
<br />
A) When Master data loaded into Master Tables (Attr, Text, Hierarchies). </span><br />
<span lang="EN-GB">Q) How would we delete the data in ODS?<br />
<br />
A) By request IDs, Selective deletion & change log entry deletion.</span><br />
<span lang="EN-GB">Q) How would we delete the data in change log table of ODS?<br />
<br />
A) Context menu of ODS → Manage → Environment → change log entries. </span><br />
<span lang="EN-GB">Q) What are the extra fields does PSA contain?<br />
<br />
A) (4) Record id, Data packet … </span><br />
<span lang="EN-GB"><br />
Q) Partitioning possible for ODS?<br />
<br />
A) No, It's possible only for Cube. </span><br />
<span lang="EN-GB">Q) Why partitioning?<br />
<br />
A) For performance tuning. </span><br />
<span lang="EN-GB">Q) Have you ever tried to load data from 2 InfoPackages
into one cube? <br />
<br />
A) Yes. </span><br />
<span lang="EN-GB">Q) Different types of Attributes?<br />
<br />
A) Navigational attribute, Display attributes, Time dependent attributes,
Compounding attributes, Transitive attributes, Currency attributes. </span><br />
<span lang="EN-GB">Q) Transitive Attributes?<br />
<br />
A) Navigational attributes having nav attr…these nav attrs are called
transitive attrs </span><br />
<span lang="EN-GB">Q) Navigational attribute?<br />
<br />
A) Are used for drill down reporting (RRI). </span><br />
<span lang="EN-GB">Q) Display attributes?<br />
<br />
A) You can show DISPLAY attributes in a report, which are used only for
displaying. </span><br />
<span lang="EN-GB">Q) How does u recognize an attribute whether it is a
display attribute or not?<br />
<br />
A) In Edit characteristics of char, on general tab checked as attribute only. </span><br />
<span lang="EN-GB">Q) Compounding attribute?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Time dependent attributes?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Currency attributes?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Authorization relevant object. Why authorization needed?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) How do we convert Master data InfoObject to a Data target?
<br />
A) InfoArea → Infoprovider (context menu) → Insert characteristic Data as
DataTarget. </span><br />
<span lang="EN-GB"><br />
Q) How do we load the data if a FlatFile consists of both Master and
Transaction data?<br />
<br />
A) Using Flexible update method while creating InfoSource. </span><br />
<span lang="EN-GB">Q) Steps in LIS are Extraction?<br />
<br />
A) </span><br />
<div style="margin-bottom: 12.0pt;">
<span lang="EN-GB">Q) Steps in LO are Extraction?<br />
<br />
A) * Maintain extract structures. (R/3)</span></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l0 level1 lfo14; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain DataSources. (R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l11 level1 lfo15; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Replicate DataSource in BW. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l7 level1 lfo16; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Assign InfoSources. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l8 level1 lfo17; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain communication
structures/transfer rules. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l5 level1 lfo18; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintain InfoCubes & Update
rules. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l9 level1 lfo19; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Activate extract structures.
(R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l10 level1 lfo20; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Delete setup tables/setup
extraction. (R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l6 level1 lfo21; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">InfoPackage for the Delta
initialization. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l2 level1 lfo22; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Set-up periodic V3 update.
(R/3) </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l24 level1 lfo23; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">InfoPackage for Delta uploads. </span></li>
</ul>
<span lang="EN-GB">Q) Steps in FlatFile Extraction?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Different types in LO's?<br />
<br />
A) Direct Delta, Queued Delta, Serialized V3 update, Unserialized V3 Update.<br />
<br />
Direct Delta: - With every document posted in R/3, the extraction data is
transferred directly into the BW delta queue. Each document posting with delta
extraction becomes exactly one LUW in the corresponding Delta queue. </span><br />
<span lang="EN-GB">Queued Delta: - The extraction data from the application is
collected in extraction queue instead of as update data and can be transferred
to the BW delta queue by an update collection run, as in the V3 update.</span><br />
<div style="margin-bottom: 12.0pt;">
<span lang="EN-GB"><br />
Q) What does LO Cockpit contain?<br />
<br />
A) * Maintaining Extract structure.</span></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l22 level1 lfo24; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Maintaining DataSources. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l20 level1 lfo25; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Activating Updates. </span></li>
</ul>
<div class="MsoNormal">
<br /></div>
<ul type="disc">
<li class="MsoNormal" style="color: black; mso-list: l18 level1 lfo26; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span lang="EN-GB" style="font-family: Arial; font-size: 10.0pt;">Controlling Updates. </span></li>
</ul>
<span lang="EN-GB">Q) RSA6 --- Maintain DataSources. </span><br />
<span lang="EN-GB">Q) RSA7 ---- Delta Queue (allows you to monitor the current
status of the delta attribute) </span><br />
<span lang="EN-GB">Q) RSA3 ---- Extract checker. </span><br />
<span lang="EN-GB">Q) LBW0 --- TCode for LIS. </span><br />
<span lang="EN-GB">Q) LBWG --- Delete set-up tables in LO's. </span><br />
<span lang="EN-GB">Q) OLI*BW --- Fill Set-up tables. </span><br />
<span lang="EN-GB">Q) LBWE ---- TCode for Logistics extractors. </span><br />
<span lang="EN-GB">Q) RSO2 --- Maintaining Generic DataSources. </span><br />
<span lang="EN-GB">Q) MC21 </span><br />
<div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-GB" style="color: black; font-family: Arial; font-size: 10.0pt;">
<hr align="center" size="2" width="100%" />
</span></div>
<div class="MsoNormal">
<span lang="EN-GB" style="color: black; font-family: Arial; font-size: 10.0pt;">Creating user-defined Information Structure for LIS (It is
InfoSource in SAP BW). </span></div>
<span lang="EN-GB">Q) MC24 ---- Creating Updating rules for LO's. </span><br />
<span lang="EN-GB">Q) PFCG ---- Role maintenance, assign users to these roles.
</span><br />
<span lang="EN-GB">Q) SE03 -- Changeability of the BW namespace. </span><br />
<span lang="EN-GB">Q) RSDCUBEM --- For Delete, Change or Delete the InfoCube. </span><br />
<span lang="EN-GB">Q) RSD5 -- Data packet characteristics maint. </span><br />
<span lang="EN-GB">Q) RSDBC - DB Connect </span><br />
<span lang="EN-GB">Q) RSMO --- Monitoring of Dataloads. </span><br />
<span lang="EN-GB">Q) RSCUSTV6 -- Partitioning of PSA. </span><br />
<span lang="EN-GB">Q) RSRT -- Query monitor. </span><br />
<span lang="EN-GB">Q) RSRV - Analysis and Repair of BW Objects </span><br />
<span lang="EN-GB">Q) RRMX - BEx Analyzer </span><br />
<span lang="EN-GB">Q) RSBBS - Report to Report interface (RRI). </span><br />
<span lang="EN-GB">Q) SPRO -- IMG (To make configurations in BW). </span><br />
<span lang="EN-GB">Q) RSDDV - Maintaining Aggregates. </span><br />
<span lang="EN-GB">Q) RSKC -- Character permit checker. </span><br />
<span lang="EN-GB">Q) ST22 - Checking ShortDump. </span><br />
<span lang="EN-GB">Q) SM37 - Scheduling Background jobs. </span><br />
<span lang="EN-GB">Q) RSBOH1 -- Open Hub Service: Create InfoSpoke. </span><br />
<span lang="EN-GB">Q) RSMONMESS -- "Messages for the monitor" table.
</span><br />
<span lang="EN-GB">Q) ROOSOURCE - Table to find out delta update methods. </span><br />
<span lang="EN-GB">Q) RODELTAM - Finding for modes of records (i.e. before
image & after image)<br />
<br />
Q) SMOD - Definition <br />
<br />
Q) CMOD - Project Management enhancing<br />
<br />
Q) SPAU - Program Compare <br />
<br />
Q) SE11 - ABAP Dictionary<br />
<br />
Q) SE09 - Transport Organizer (workbench organizer)<br />
<br />
Q) SE10 - Transport Organizer (Extended View)<br />
<br />
Q) SBIW - Implementation guide </span><br />
<span lang="EN-GB">Q) Statistical Update?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What are Process Chains?<br />
<br />
A) TCode is RSPC, is a sequence of processes scheduled in the background &
waiting to be triggered by a specific event. Process chains nothing but
grouping processes. Process variant (start variant) is the place the process
chain knows where to start.<br />
<br />
There should be min and max one start variant in each process chain, here we
specify when should the process chain start by giving date and time or if you
want to start immediately<br />
<br />
Some of theses processes trigger an event of their own that in-turn triggers
other processes. </span><br />
<span lang="EN-GB">Ex: - Start chain → Delete BCube indexes → Load data from
the source system to PSA →<br />
<br />
Load data from PSA to DataTarget ODS → Load data from ODS to BCube → Create
Indexes for BCube after loading data → Create database statistics → Roll-Up
data into the aggregate → Restart chain from beginning. </span><br />
<span lang="EN-GB">Q) What are Process Types & Process variant?<br />
<br />
A) Process types are General services, Load Process & subsequent
processing, Data Target Administration, Reporting agent & Other BW
services. </span><br />
<span lang="EN-GB">Process variant (start variant) is the place the process
type knows when & where to start. </span><br />
<span lang="EN-GB"><br />
Q) Difference between MasterData & Transaction InfoPackage?<br />
<br />
A) 5 tabs in Masterdata & 6 tabs in Transaction data, the extra tab in
Transaction data is DATA TARGETS. </span><br />
<span lang="EN-GB">Q) Types of Updates?<br />
<br />
A) Full Update, Init Delta Update & Delta Update. </span><br />
<span lang="EN-GB">Q) For Full update possible while loading data from R/3?<br />
<br />
A) InfoPackage → Scheduler → Repair Request flag (check).<br />
<br />
This is only possible when we use MM & SD modules. </span><br />
<span lang="EN-GB">Q) InfoPackage groups?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Explain the status of records in Active & change log
tables in ODS when modified in source system?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Why it takes more time while loading the transaction
data even to load the transaction without master data (we check the checkbox,
Always Update data, even if no master data exits for the data)?<br />
<br />
A) Because while loading the data it has to create SID keys for transaction
data. </span><br />
<span lang="EN-GB">Q) For what we use HIDE fields, SELECT fields &
CANCELLATION fields?<br />
<br />
A) Selection fields-- The only purpose is when we check this column, the field
will appear in InfoPackage Data selection tab.<br />
<br />
Hide fields -- These fields are not transferred to BW transfer structure.<br />
<br />
Cancellation - It will reverse the posted documents of keyfigures of customer
defined by multiplying it with -1...and nullifying the value.<br />
<br />
I think this is reverse posting </span><br />
<span lang="EN-GB">Q) Transporting.<br />
<br />
A) When it comes to transporting for R/3 and BW, u should always transport all
the R/3 Objects first………once you transport all the R/3 objects to the 2nd
system, you have to replicate the datasources into the 2nd BW system…and then
transport BW objects.<br />
<br />
First you will transport all the datasources from 1st R/3 system to 2nd R/3
System. Second, you will replicate the datasources from 2nd R/3 system into 2nd
BW system. Third, you will transport all the BW Objects from 1st BW system to
2nd BW system. </span><br />
<span lang="EN-GB">You have to send your extractors first to the corresponding
R/3 Q Box and replicate that to BW. Then you have to do this transport in BW. </span><br />
<span lang="EN-GB">Development, testing and then production </span><br />
<span lang="EN-GB">Q) Functionality of InitDelta & Delta Updates?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What is Change-run ID?<br />
<br />
A) </span><br />
<span lang="EN-GB"><br />
Q) Currency conversions?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Difference between Calculated KeyFigure & Formula?<br />
<br />
A) </span><br />
<span lang="EN-GB"><br />
Q) When does a transfer structure contain more fields than the communication
structure of an InfoSource?<br />
<br />
A) If we use a routine to enhance a field in the communication from several
fields in the transfer structure, the communication structure may contain more
fields.<br />
<br />
A) The total no of InfoObjects in the communication structure & Extract
structure may be different, since InfoObjects can be copied to the
communication structure from all the extract structures. </span><br />
<span lang="EN-GB">Q) What is the PSA, technical name of PSA, Uses?<br />
<br />
A) When we want to delete the data in InfoProvider & again want to re-load
the data, at this stage we can directly load from PSA not going to extract from
R/3.<br />
<br />
A) For cleansing purpose. </span><br />
<span lang="EN-GB">Q) Variables in Reporting?<br />
<br />
A) Characteristics values, Text, Hierarchies, Hierarchy nodes & Formula
elements, </span><br />
<span lang="EN-GB">Q) Variable processing types in Reporting?<br />
<br />
A) Manual, Replacement path, SAP Exit, Authorizations, Customer Exit </span><br />
<span lang="EN-GB">Q) Why we use this RSRP0001 Enhancement?<br />
<br />
A) For enhancing the Customer Exit in reporting. </span><br />
<span lang="EN-GB">Q) What is the use of Filters?<br />
<br />
A) It Restricts Data. </span><br />
<span lang="EN-GB">Q) What is the use of Conditioning?<br />
<br />
A) To retrieve data based on particular conditions like less than, greater
than, less than or equal etc., </span><br />
<span lang="EN-GB">Q) Difference between Filters & Conditioning?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) What is NODIM?<br />
<br />
A) For example it converts 5lts + 5kgs = 10. </span><br />
<span lang="EN-GB">Q) What for Exception's? How can I get PINK color?<br />
<br />
A) To differentiate values with colors, by adding relevant colors u can get
pink. </span><br />
<span lang="EN-GB">Q) Why SAPLRSAP is used?<br />
<br />
A) We use these function modules for enhancing in r/3. </span><br />
<span lang="EN-GB">Q) What are workbooks & uses?<br />
<br />
A) </span><br />
<span lang="EN-GB">Q) Where are workbooks saved?<br />
<br />
A) Workbooks are saved in favorites. </span><br />
<span lang="EN-GB">Q) Can Favorites accessed by other users?<br />
<br />
A) No, they need authorization. </span><br />
<span lang="EN-GB">Q) What is InfoSet?<br />
<br />
A) An InfoSet is a special view of a dataset, such as logical database, table
join, table, and sequential file, and is used by SAP Query as a source data.
InfoSets determine the tables or fields in these tables that can be referenced by
a report. In most cases, InfoSets are based on logical databases.<br />
<br />
SAP Query includes a component for maintaining InfoSets. When you create an
InfoSet, a DataSource in an application system is selected. </span><br />
<span lang="EN-GB">Navigating in a BW to an InfoSet Query, using one or more
ODS objects or InfoObjects.<br />
<br />
You can also drill-through to BEx queries and InfoSet Queries from a second BW
system, that is<br />
<br />
Connected as a data mart. </span><br />
<span lang="EN-GB">_The InfoSet Query functions allow you to report using flat
data tables (master data reporting).<br />
<br />
Choose InfoObjects or ODS objects as data sources. These can be connected using
joins.<br />
<br />
__You define the data sources in an InfoSet. An InfoSet can contain data from
one or more tables that are connected to one another by key fields.<br />
<br />
__The data sources specified in the InfoSet form the basis of the InfoSet
Query. </span><br />
<span lang="EN-GB">Q) LO's?<br />
<br />
A)<br />
<br />
Synchronous update (V1 update)<br />
<br />
Statistics update is carried out at the same time as the document update in the
same task.<br />
<br />
· Asynchronous update (V2 update)<br />
<br />
Document update and the statistics update take place separately in different
tasks.<br />
<br />
· Collective update (V3 update)<br />
<br />
Again, document update is separate from the statistics update. However, in
contrast to the V2 update, the V3 collective statistics update must be
scheduled as a job. </span><br />
<span lang="EN-GB"><br />
Successfully scheduling the update will ensure that all the necessary
information<br />
<br />
Structures are properly updated when new or existing documents are processed.<br />
<br />
Scheduling intervals should be based on the amount of activity on a particular
OLTP<br />
<br />
system. For example, a development system with a relatively low or no volume of
new documents may only need to run the V3 update on a weekly basis. A full
production environment, with hundreds of transactions per hour may have to be
updated every 15 to 30 minutes.<br />
<br />
SAP standard background job scheduling functionality may be used in order to
schedule the V3 updates successfully. It is possible to verify that all V3
updates are successfully completed via transaction SM13. This transaction will
take you to the “UPDATE RECORDS: MAIN MENU” screen. At this screen, enter
asterisk as your user (for all users), flag the radio button 'All' and hit
enter. Any outstanding V3 updates will be listed. While a non-executed V3
update will not hinder your OLTP system, by administering the V3 update jobs
properly, your information structures will be current and overall performance
will be improved.<br />
<br />
COMPENDIT MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE<br />
<br />
INFORMATION CONTAINED IN THE DOCUMENTS AND RELATED GRAPHICS PUBLISHED ON THIS
SERVER FOR ANY PURPOSE. ALL SUCH DOCUMENTS AND RELATED GRAPHICS ARE PROVIDED
"AS IS" WITHOUT WARRANTY HAVE ANY KIND. </span><br />
<span lang="EN-GB"><br />
Business Content </span><br />
<span lang="EN-GB">Business Content is the umbrella term for the preconfigured
BW objects delivered by SAP. These objects provide ready-made solutions to
basic business information requirements and are used to accelerate the
implementation of a BW. </span><br />
<span lang="EN-GB">Business Content includes:<br />
<br />
R/3 extractor programs, DataSources,</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>InfoObjects, InfoSources, InfoCubes, Queries,
Roles, and Workbooks. </span><br />
<span lang="EN-GB">From the Grouping menu, choose the additional Business
Content objects that you want to include. </span><br />
<span lang="EN-GB">Groupings gather together all of the objects from a single
area: </span><br />
<span lang="EN-GB">Only Necessary Objects: Only those additional objects that
are needed to</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>activate the objects that you
have selected are included (minimum selection). </span><br />
<span lang="EN-GB">In Data Flow Before: All the objects that pass data on to
another object are</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>collected. </span><br />
<span lang="EN-GB">In Data Flow Afterwards: All the objects that receive data
from another</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>object are collected. </span><br />
<span lang="EN-GB">In Data Flow Before and Afterwards: All the objects that
both deliver and</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>receive data are<br />
<br />
collected. </span><br />
<span lang="EN-GB">Backup for System Copy: You use this setting to collect
some of the objects</span><span lang="EN-GB" style="font-family: Symbol; mso-ascii-font-family: Arial; mso-char-type: symbol; mso-hansi-font-family: Arial; mso-symbol-font-family: Symbol;"><span style="mso-char-type: symbol; mso-symbol-font-family: Symbol;"> </span></span><span lang="EN-GB"><span style="mso-spacerun: yes;"> </span>into a transport<br />
<br />
request. This request can be added again after a system copy has been made. </span><br />
<span lang="EN-GB"><br />
Q) I found 0fiscyear has no master data table, and 0fiscper has master data
table t009. Does anyone know how the system gets the data for these 2 info
objects?<br />
<br />
A) From context menu of source system à transfer global settings, based on FISCVARNT
you can take data for 0FISCYEAR and 0FISCPER </span><br />
<span lang="EN-GB"><br />
Q) I am facing an odd problem in my dev box. I am using 0FIAP_O03 to load
0FIAP_C03 (InfoSource 0FI_AP_4 loads the ODS). I have loaded the ODS with R/3
data without any problem. I saw the data in New Data table and then after
activation I am able to see the data in Active Data table and Change Log table.
Now, when I want to do the delta initialization in the cube using ODS data, the
request fails miserably. In fact, all the update rules are active between ODS
and cube and all of them are one to one mappings (not even a single ABAP
routine in UpdateRules). If the cube and the corresponding update rules are
active and the data loads immaculately perfect until ODS, why would the load
from ODS to cube fail? (There are no lock entries in the system). Does anyone
have any idea?<br />
<br />
A) You must have a Job Log in SM37. If not the job was never started. </span><br />
<span lang="EN-GB">Q) I have checked up sm37, the job shows as complete! But
the request status under InfoCube à manage à request tab is still showing
yellow. Assuming a false status, I have checked for the data in the cube. Nope.
No data there either. Do you have any clue why would the job log show as
complete, where as no data appears in the cube? Regarding the export datasource
issue, I have tried that too before posting the question. In fact, why would
you want to go with export datasource when you would have already created an
export datasource by creating update rules between ODS and cube! Sorry for the
silly question, but any help in this regard is highly appreciated.<br />
<br />
A) Hi, Maybe you have to do a 'Generate Export Datasource' by right-click on
the ODS. </span><br />
<span lang="EN-GB"><br />
Q) Actually I'm trying to create a simple standard, <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">order -Flat data</span></span> ODS, while I tried activating
it in Info provider- RSA1, it gets saved but not getting activated, throws up
error. I'm working on BW-3.1version; I enabled only BEx report in Settings. The
errors are<br />
<br />
1. I couldn't find the 0RECORDMODE object. BW Delta process: updatemode object
in the left hand side KF or Char Info objects. So, I tried to insert the
0RECORDMODE object on the right hand side, to Data fields folder, it shows the
object while trying to find 0RECORDMODE in INSERT INFOOBJECTS options <span style="mso-field-code: " HYPERLINK \0022https\:\/\/forums\.sdn\.sap\.com\/\0022 \\t \0022_newWindow\0022 ";"><span class="MsoHyperlink">on right click at Data Fields Folder</span></span>, But once
I enter this object, said continue, it didn't add to the DATA FILED Folder side
along with my keyfigures.<br />
<br />
2 Could not write in to the output device T'- Error: So, I just tried to
activate the ODS object I'm getting the error 'could not write in to the output
device T' in status bar. Also the status is inactive. What could be the error? </span><br />
<span lang="EN-GB"><br />
Q) I need to populate the results of my query into another InfoCube. Any ideas
on how I should go about this? </span><br />
<span lang="EN-GB">Q) For the current project I am looking at, they have 2
major companies in their Group. Both companies are on different clients in R3.
Their configuration and system setup is different in R3. Is it advisable to
separate their BW systems to 2 different clients as well? Or is it recommended
to actually fit both in one? What's the best practice? </span><br />
<span lang="EN-GB"><br />
Q) I am creating a CO-PA datasource. I successfully set the business content
datasources into active versions in R/3. Then, I try to create CO-PA datasource
for Transaction data using KEB0. However, I cannot see any value fields.... you
know all the VVOCO and those things. <br />
<br />
Characteristics from Segment Item and Line model and others including
Calculated Key <br />
<br />
figures are available fine, except the value fields. Is there any way I can set
to make value fields available? </span><br />
<span lang="EN-GB"><br />
Q) While executing the query it generally takes the default name of the excel
sheet as BOOK1, BOOK2, but My client wants that the default name should be the
same name as query name.<br />
<br />
A) Embed the query in a workbook saved as the name of the query and have your
client open the workbook as opposed to the query. </span><br />
<span lang="EN-GB">Q) Considering that I have in this infocube 6 dimensions,
30 characteristics and 20 key figures, do you see any simply any way to make my
upload process easier? Do you think that the server will support that amount of
data? Or which considerations should I add to make sure that this upload
process would run? </span><br />
<span lang="EN-GB">Q) We need to find the table in which query and variable
assignments are stored. We must read this table in a user-exit to get which
variables are used in a query.<br />
<br />
A) Check out tables RSZELTDIR and RSZCOMPDIR for query BEx elements. I found
this info on one of the previous posting, variable table, RSZGLOBV, query table
- get query id from table RSRREPDIR (field RSRREPDIR-COMPUID), use this id for
table start with RSZEL* When 'ZFISPER1' name of the variable when VNAM =
'ZVC_FY1' - characteristics.<br />
<br />
Step 1 - before selection<br />
<br />
Step 2 - after selection <br />
<br />
Step 3 - processed all variable at the same time </span><br />
<span lang="EN-GB">Q) Actually the ODS has data till date (09 Dec) which is
coming from 2 datasources, but the infocube has data upto 8 November only as we
have deleted few requests because there was mismatch of notification complaints
encountered during reporting. So we tried to update the data thru "Update
ODS Data in data target" by selecting the delta update option, we are
getting an error message called "Delta update for ZUODEC02 (ODS) is
invalidated". Please let me know the solution to come out this problem.
Can we go for Initialize delta update again for cube? </span><br />
<span lang="EN-GB"><br />
Q) How is the display of USD in currency controlled to be seen as USD or $?<br />
<br />
A) You can control Currency display with the following customizing point. In BW
customizing<br />
<br />
BW Customizing Implementation Guide à Reporting-relevant Settings à General
Reporting Settings à Set Alternative Currency Display<br />
<br />
In this table, you can specify the symbol or string you want to use.<br />
<br />
If this table is empty USD, the symbol used in BEx restitution is $. </span><br />
<span lang="EN-GB"><br />
Q) Deleting Data from PSA?<br />
<br />
A) Context menu PSA and delete data or context menu à Edit several requests
delete the required request and in reconstruction tab of cube manage delete
request. </span><br />
<span lang="EN-GB">Q) If u update data from ODS to data target. System will
generate InfoSource with one prefix name?<br />
<br />
A) It will generate with prefix name starting with 8 along with InfoSource
name. </span><br />
<span lang="EN-GB">Q) How to check physically about data load?<br />
<br />
A) At the bottom while updating. tRFC8 ani naming convention tho executing avuthu
untundhi -- just have a look when u update from ODS. </span><br />
<span lang="EN-GB">Q) What is an aggregate?<br />
<br />
A) Aggregates are small or baby cubes. A subset of InfoCube.<br />
<br />
Flat Aggregate --when u have more than 15 characteristics for aggregate system
will generate that aggregate as flat aggregate to increase performance. </span><br />
<span lang="EN-GB">Roll-up--when the data is loaded for second time into cube,
we have to roll-up to make that data available in aggregate. </span><br />
<span lang="EN-GB">Q) X & Y Tables?<br />
<br />
A) X-tables and Y-tables only have primary key.<br />
<br />
X-table (SID- key relationship plus SID columns per time-independent
navigational attribute) or a Y-table (SID- key relationship. Timestamp, SID
columns per time-dependent navigational attribute) </span><br />
<span lang="EN-GB">Q) Routine with Return Table<br />
<br />
A) Update rules generally only have one return value. However, you can create a
routine in the tab strip key figure calculation, by choosing Return table. The
corresponding key figure routine then no longer has a return value, but a
return table. You can then generate as many key figure values, as you like from
one data record.<br />
<br />
In the routine editor, you will find the calculated characteristic values in
the structure ICUBE_VALUES. Change these values accordingly (in the above
example: Employee), fill the field for the relevant key figure (in the above
example: Sales revenue), and use this to fill the return table RESULT_TABLE </span><br />
<span lang="EN-GB"><br />
Q) What is Line-Item Data, in which scenario u use line item dimension?<br />
<br />
A) A line item dimension in a fact table does not have the dimension table, it
connects directly with the SID table at its sole characteristic. When there is
only one characteristic in a dimension, it will eliminate the dimension table.
Fact table directly linked to the SID table. </span><br />
<span lang="EN-GB">Compressing InfoCubes<br />
<br />
Use<br />
<br />
When you load data into the InfoCube, entire requests can be inserted at the
same time. Each of these requests has its own request ID, which is included in
the fact table in the packet dimension. This makes it possible to pay
particular attention to individual requests. One advantage of the request ID
concept is that you can subsequently delete complete requests from the
InfoCube. However, the request ID concept can also cause the same data record
(all characteristics agree, with the exception of the request ID) to appear
more than once in the fact table. This unnecessarily increases the volume of
data, and reduces performance in Reporting, as the system has to aggregate
using the request ID every time you execute a query. Using compressing, you can
eliminate these disadvantages, and bring data from different requests together
into one single request (request ID 0).<br />
<br />
This function is critical, as the compressed data can no longer be deleted from
the InfoCube using its request IDs. You must be absolutely certain that the
data loaded into the InfoCube is correct. </span><br />
<span lang="EN-GB">Functions </span><br />
<span lang="EN-GB">You can choose request IDs and release them to be
compressed. You can schedule the function immediately or in the background, and
link it to other events.<br />
<br />
Compressing one request takes approx. 2.5 ms per data record. With
non-cumulative InfoCubes, compression has an additional effect on query
performance. Also, the marker for non-cumulatives in non-cumulative InfoCubes
is updated. This means that, on the whole, less data is read for a
non-cumulative query, and the reply time is therefore reduced. If you run the
compression for a non-cumulative InfoCube, the summarization time (including
the time to update the markers) will be about 5 ms per data record. If you are
using an Oracle database as your BW database, you can also carry out a report
using the relevant InfoCube while the compression is running. With other
manufacturers' databases, you will see a warning if you try to carry out a
report using an InfoCube while the compression is running. In this case you can
only report on the relevant InfoCube when the compression has finished running.
If you want to avoid the InfoCube containing entries whose key figures are zero
values (in reverse posting for example) you can run a zero-elimination at the
same time as the compression. In this case, the entries, where all the key
figures are equal to 0, are deleted from the fact table.<br />
<br />
Zero-elimination is permitted only for InfoCubes, where exclusively key figures
with the aggregation behavior 'SUM' appear. You are not permitted to run a
zero-elimination with non-cumulative values in particular. </span><br />
<span lang="EN-GB">Activities<br />
<br />
For performance reasons, and to save space on the memory, summarize a request
as soon as you have established that it is correct, and is no longer to be
removed from the InfoCube. </span><br />
<span lang="EN-GB">Q) You can convert currencies at 2 places?<br />
<br />
A) One is at update rule level & one at the front-end (reports lo) </span><br />
<span lang="EN-GB"><br />
Q) You can create infospokes only on 4 objects.<br />
<br />
A) ODS, InfoCubes (Master data attributes and texts) & not on hierarchies
and multiproviders. </span><br />
<span lang="EN-GB">I mean for data offloading from BW to excel. Not only into
excel but also to application server and also to database tables. </span><br />
<span lang="EN-GB">Q) If you use process chains, you can <br />
<br />
Automate the complex schedules in BW with the help of <br />
<br />
Event-controlled processing, <br />
<br />
Visualize the schedule by using network applications and<br />
<br />
Centrally control and monitor the processes. </span><br />
<span lang="EN-GB">Q) Transportation <br />
<br />
For BEx you can have only one transport request. There should always be one
transport open if you want to create or edit queries. All the queries which u create
or edit are assigned to this request. Suppose there is no open request, then
you cannot edit or create any queries<br />
<br />
Once you have some queries in a request and you want to transport then you can
release this one and immediately create a new one so that u can again create or
change queries. </span><br />
<span lang="EN-GB"><br />
Q) Our is a SAP-BW with a non-sap source system. Everyday for client
information we usually check the data loading thru' monitor. Is there any ways
so that I can connect our mail-server to it & get automatic e-mails from BW
server about every time after the transaction data is loaded?<br />
<br />
A) Go to SBWP Tcode there u have set for getting automatic mails. </span><br />
<span lang="EN-GB">A) Write a transfer routine for the infoObjects to extend
the length of the data type. </span><br />
<span lang="EN-GB"><br />
Q) How can we stop loading data into infocube?<br />
<br />
A) First you have to find out what is the job name from the monitor screen for
this load<br />
<br />
monitor screen lo Header Tabstrip lo untadhi. SM37 (job monitoring) in r/3
select this job and from the menu u can delete the job. There are some options,
just check them out in sm37 and also u have to delete the request in BW.
Cancellation is not suggestible for delta load. </span><br />
<span lang="EN-GB">Q) If the Ship to address is changed, will it trigger delta
for the 2LIS_11_VAITM extractor?<br />
<br />
A) I suppose you are talking of changing the “Ship to” address information in
the Ship to master data. That has nothing to do with Transactional Data.
Therefore no delta will be in the 2LIS_11_VAITM extractors.<br />
<br />
Address is changed for ShipTo on the sales order document (not Master data) and
this address is saved in ADRC table. </span><br />
<span lang="EN-GB">Q) How to reset the data mart status in the ODS. Which
transaction is used for resetting the status?<br />
<br />
A) Go to the ODS and from context menu, Manage Reset the Data Mart Status
(third column). If necessary restart the load from the DM which at InfoSource =
"8ODS-Name" using Update Tab" Initialize Delta Process"
Initial Load without Data Transfer" after resetting the Data Mart Status. </span><br />
<span lang="EN-GB">Q) We are facing a problem with authorizations for BPS. We
have a large number of agents that need to enter plan data via a layout. In
order to simplify the control of the necessary authorizations, we would like to
filter via something similar to a user exit using a function module in order to
avoid having to define authorization objects for each of the agents who have
access to the systems. Right now, we are not sure if there is user exit concept
available as it is for BW variables. <br />
<br />
A) In BPS, you can use user specific variables or you can set up a Variable of
type exit. <br />
<br />
You can also have a variable of type authorization which uses the security /
authorization of the BW system. </span><br />
<span lang="EN-GB">Q) Here are the steps for Process chain <br />
<br />
A) Call transaction RSPC <br />
<br />
Create a process chain with the start process; herein you can > schedule
> your whole Process chain (at once, by an event, by day, and so on) Call
the icon "process types" > within the process types: <br />
<br />
Call the infopackage you need to load the data from the source > system to
> ODS > <br />
<br />
Activate the ODS à Update the ODS into the InfoCube à Rollup the data from the
InfoCube to the aggregate the connection between the steps from 2 until 7 are
connected by à EVENTS; you à can create events by pressing the right mouse
click down from the à predecessor à process to the successor process; the system
asks you à independent from à error, only by error, only by success". In
such a way you can create the process chain </span><br />
<span lang="EN-GB">Copying Process chains, there is a way to copy process
chain. In the RSPC view, open the desired process chain to be copied. Type COPY
in the transaction-calling field on left top of the screen. The process chain
will be copied then. However, I am using BW 3.1C. Perhaps this works in 3.0 as
well. </span><br />
<span lang="EN-GB">Q) I want to add the ADNR (address number) of the ship-to
party to the standard extractor in LBWE. We have ONE-Time ship-to recipients
and we want to be able to report on the STATE of the recipient rather than the
state of the sold-to. I just wanted verification that I might be going in the
right direction.. In order to add this field could I add the ADNR to the
include MCPARTUSR section of the MCPARTNER structure? (And hopefully those
fields would then be available in any of the MCVBAK, MCVBAP Communication
structures...?) Or add an additional append ZMCPART, and then populate the
field with a user exit during the extraction process. Or I could add it
directly to the MCVBAK in a "Z". Append (?). Then populate the field
with a user exit during the extraction process. Has anyone attempted something
like this before? Is that what I need to do to get it into the communication
structures for LBWE the logistic cockpit to use it? Haven't seen many posts or
documentation that talks about specifics. Saw a bunch on master data
augmentation, but not on the transaction extractors<br />
<br />
A) We ultimately did add a few fields to the structure, and then populated them
with a user exit. Every document is associated with an ADDR, so why not give
the 0DOCUMENT an attribute called ADDR or a full set of attributes that include
addresses. Then build an infoset on R/3 to populate the 0DOCUMENT object
directly with addresses. Treat the addr as "master" data of the
0document object rather than part of the transactional data. I THINK it would
work but am not certain yet. </span><br />
<span lang="EN-GB">Q) Can any body know how to create datamarts for Masterdata
characteristics? Here for example I have two master data characteristics like
0Mat_plant and Zmatplt in the same BW system. Now I want to upload the data
from 0Mat_plant to Zmat_plant using the delta enabled infopackage. <br />
<br />
A) Datamarts are a functionality of an ODS you need one extraction program
created by the ODS to make the upload into the data target) and not a functionality
from Master data tables. Therefore create one ODS for jour object “like
0Mat_plant” </span><br />
<span lang="EN-GB">Q) To check the version of particular infoobject in table
RSDIOBJ </span><br />
<span lang="EN-GB">Q) I have a break on one document between R/3 and BW. The
document does exist in BSEG, but is missing from BW. All the other documents
that were posted during that time were extracted by BW except this one. What
could be the reason?<br />
<br />
A) The record may be missing because of any logic in update rules or transfer
rules logic. I mean to say that there may be any filter on that particular
record in Update or transfer rules. First check whether the record exist in
RSA3. Then check in PSA whether that record is in BW or not. Then check the
update rules. </span><br />
<span lang="EN-GB">Q) What's the difference between R3 drill down reporting
and BW reporting?<br />
<br />
These two reporting seem to function similarly with slice and dice. If they
function similarly, then that means we don't have to implement BW, just use R3
Drill down reporting tool, am I right?<br />
<br />
A) The major benefits of reporting with BW over R/3 are in terms of performance
and analysis.<br />
<br />
1. Performance -- Heavy reporting along with regular OLTP transactions can
produce a lot of load both on the R/3 and the database (cpu, memory, disks,
etc). Just take a look at the load put on your system during a month end,
quarter end, or year-end -- now imagine that occurring even more frequently.<br />
<br />
2. Data analysis -- BW uses a Data Warehouse and OLAP concepts for storing and
analyzing data, where R/3 was designed for transaction processing. With a lot
of work you can get the same analysis out of R/3 but most likely would be
easier from a BW</span><br />
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<br /></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com3tag:blogger.com,1999:blog-6668557786081504415.post-6579353208449150582013-10-19T03:17:00.002-07:002014-11-19T18:41:41.684-08:00Interview Questions & Answers<div dir="ltr" style="text-align: left;" trbidi="on">
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<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">1. What is data integrity?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Data
Integrity is about eliminating duplicate entries in the database. Data
integrity means no duplicate data.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">2. What is the difference between SAP BW 3.0B
and SAP BW 3.1C, 3.5?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">The best
answer here is Business Content. There is additional Business Content provided
with BW 3.1C that wasn't found in BW 3.0B. SAP has a pretty decent reference
library on their Web site that documents that additional objects found with
3.1C.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"> 3. What is the difference between SAP BW
3.5 and 7.0?</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"><br />
SAP BW 7.0 is called SAP BI and is one of the components of SAP NetWeaver
2004s. There are many differences between them in areas like extraction, EDW,
reporting, analysis administration and so forth. For a detailed description,
please refer to the documentation given on help.sap.com.<b> </b></span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">1. No Update rules or Transfer rules (Not
mandatory in data flow)<br />
2.Instead of update rules and Transfer rules new concept introduced called
transformations.<br />
3. New ODS introduced in additional to the Standard and transactional.<br />
4. ODS is renamed as DataStore to meet with the global data warehousing
standards.<br />
And lot more changes in the functionalities of BEX query designer and WAD etc.<br />
5. In Infosets now you can include Infocubes as well.<br />
6. The Re-Modeling transaction helps you adding new key figures and
characteristics and handles historical data as well without much hassle. This
facility is available only for info cube.<br />
7. The BI accelerator (for now only for infocubes) helps in reducing query run
time by almost a factor of 10 - 100. This BI accl is a separate box and would
cost more. Vendors for these would be HP or IBM.<br />
8. The monitoring has been improved with a new portal based cockpit. Which
means you would need to have an EP guy in your project for implementing the
portal ! :)<br />
9. Search functionality has improved!! You can search any object. Not like 3.5<br />
10. Transformations are in and routines are passe! Yes, you can always revert
to the old transactions too.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">4. What is index?</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"><br />
Indices/Indexes are used to locate needed records in a database table quickly.
BW uses two types of indices, B-tree indices for regular database tables and
bitmap indices for fact tables and aggregate tables.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">5. What is KPIs (Key Performance Indicators)?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">(1)
Predefined calculations that render summarized and/or aggregated information,
which is useful in making strategic decisions. <br />
(2) Also known as Performance Measure, Performance Metric measures. KPIs are
put in place and visible to an organization to indicate the level of progress
and status of change efforts in an organization.<br />
KPIs are industry-recognized measurements on which to base critical business
decisions.<br />
In SAP BW, Business Content KPIs have been developed based upon input from
customers, partners, and industry experts to ensure that they reflect best
practices.<br />
<b><br />
6. What is the use of process chain?</b></span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">The use of Process Chain is to automate the data
load process.<br />
Used to automate all the processes including Data load and all Administrative
Tasks like indices creation deletion, Cube compression etc.<br />
Highly controlled data loading.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">7. Difference between Display Attribute and
Navigational Attribute?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">The basic difference between the two is that
navigational attributes can be used to drilldown in a Bex report whereas
display attributes cannot be used so. A navigational attribute would function
more or less like a characteristic within a cube. <br />
<br />
To enable these features of a navigational attribute, the attribute needs to be
made navigational in the cube apart from the master data info-object.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">The only difference is that navigation
attributes can be used for navigation in queries, like filtering, drill-down
etc.<br />
You can also use hierarchies on navigational attributes, as it is possible for
characteristics.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">But an extra feature is that there is a possibility
to change your history. (Please look at the relevant time scenarios). If
navigation attributes changes for a characteristic, it is changed for all
records in the past.<br />
Disadvantage is also a slow down in performance.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">8. If there are duplicate data in Cubes, how
would you fix it?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Delete
the request ID, Fix data in PSA or ODS and re-load again from PSA / ODS.<br />
<b><br />
9. What are the differences between ODS and Info Cube? <br />
</b>ODS holds transactional level data. It’s just as a flat table. It’s not
based on multidimensional model. ODS have three tables <br />
1. <b>Active Data table</b> (A table containing the active data)<br />
2. <b>Change log Table</b> (Contains the change history for delta updating from
the ODS Object into other data targets, such as ODS Objects or InfoCubes for
example.)<br />
3. <b>Activation Queue table (</b>For saving ODS data records that are to be
updated but that have not yet been activated. The data is deleted after the
records have been activated)<br />
<br />
Whereas Cube holds aggregated data which is not as detailed as ODS. Cube is based
on multidimensional model.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">An ODS is a flat structure. It is just one table
that contains all data. <br />
Most of the time you use an ODS for line item data. Then you aggregate this
data to an info cube</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">O</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">ne major difference is the manner of data
storage. In ODS, data is stored in flat tables. By flat I mean to say ordinary
transparent table whereas in a CUBE, it composed of multiple tables arranged in
a STAR SCHEMA joined by SIDs. The purpose is to do MULTI-DIMENSIONAL Reporting<br />
<br />
In ODS; we can delete / overwrite the data load but in cube – only add is
possible, no overwrite.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">10. What is the use of change log table?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Change log is used for delta updates to the
target; it stores all changes per request and updates the target.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">11. Difference between InfoSet and Multiprovider</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">a) The operation in Multiprovider is
"Union" where as in Infoset it is either "inner join" or
"Outer join".<br />
<br />
b) You can add Info-cube, ODS, Info-object in Multiprovider whereas in an
Infoset you can only have ODS and Info-object.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">c) An Infoset is an Info-provider that joins
data from ODS and Info-objects( with master data). The join may be a outer join
or a inner join. Whereas a Multiprovider is created on all types of
Infoproviders - Cubes, ODS, Info-object. These InfoProviders are connected to
one another by a union operation.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">d) A union operation is used to combine the data
from these objects into a MultiProvider. Here, the system constructs the union
set of the data sets involved. In other words, all values of these data sets
are combined. As a comparison: InfoSets are created using joins. These joins
only combine values that appear in both tables. In contrast to a union, joins
form the intersection of the tables.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">12. What is the T.Code for Data Archival and
what is it's advantage? <br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">SARA.<br />
<b>Advantage: </b>To minimize space, Query performance and Load performance</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">13. What are the Data Loading Tuning from R/3 to
BW, FF to BW?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">a) If you have enhanced an extractor, check your
code in user exit RSAP0001 for expensive SQL statements, nested selects and rectify
them.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">b) Watch out the ABAP code in Transfer and
Update Rules, this might slow down performance</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">c) If you have several extraction jobs running
concurrently, there probably are not enough system resources to dedicate to any
single extraction job. Make sure schedule this job judiciously.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">d) If you have multiple application servers, try
to do load balancing by distributing the load among different servers.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">e) Build secondary indexes on the under lying
tables of a DataSource to correspond to the fields in the selection criteria of
the datasource. ( Indexes on Source tables)</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">f) Try to increase the number of parallel
processes so that packages are extracted parallelly instead of sequentially.
(Use PSA and Data Target in parallel option in the info package.)</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">g) Buffer the SID number ranges if you load lot
of data at once.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">h) Load master data before loading transaction
data.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">i) Use SAP Delivered extractors as much as
possible.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">j) If your source is not an SAP system but a
flat file, make sure that this file is housed on the application server and not
on the client machine. Files stored in an ASCII format are faster to load than
those stored in a CSV format.<br />
<b><br />
14. Performance monitoring and analysis tools in BW</b></span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">a) <b>System Trace:</b> Transaction ST01 lets
you do various levels of system trace such as authorization checks, SQL traces,
table/buffer trace etc. It is a general Basis tool but can be leveraged for BW.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">b) <b>Workload Analysis:</b> You use transaction
code ST03</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">c) <b>Database Performance Analysis:</b>
Transaction ST04 gives you all that you need to know about what’s happening at
the database level.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">d) <b>Performance Analysis:</b> Transaction ST05
enables you to do performance traces in different are as namely SQL trace,
Enqueue trace, RFC trace and buffer trace.<br />
<br />
e) <b>BW Technical Content Analysis: SAP </b>Standard Business Content 0BWTCT
that needs to be activated. It contains several InfoCubes, ODS Objects and
MultiProviders and contains a variety of performance related information.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">f) <b>BW Monitor: </b>You can get to it
independently of an InfoPackage by running transaction RSMO or via an
InfoPackage. An important feature of this tool is the ability to retrieve
important IDoc information.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">g) <b>ABAP Runtime Analysis Tool:</b> Use
transaction SE30 to do a runtime analysis of a transaction, program or function
module. It is a very helpful tool if you know the program or routine that you
suspect is causing a performance bottleneck.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">15. Difference between Transfer Rules and Update
Rules</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">a) Transfer Rules:<br />
When we maintains the transfer structure and the communication structure, we
use the transfer rules to determine how we want the transfer structure fields
to be assigned to the communication structure InfoObjects. We can arrange for a
1:1 assignment. We can also fill InfoObjects using routines, formulas, or
constants.<br />
Update rules:<br />
Update rules specify how the data (key figures, time characteristics,
characteristics) is updated to data targets from the communication structure of
an InfoSource. You are therefore connecting an InfoSource with a data target.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">b) Transfer rules are linked to InfoSource,
update rules are linked to InfoProvider (InfoCube, ODS).</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">i. Transfer rules are source system dependant
whereas update rules are Data target dependant.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">ii.The no. of transfer rules would be equal to
the no. of source system for a data target. <br />
<br />
iii.Transfer rules is mainly for data cleansing and data formatting whereas in
the update rules you would write the business rules for your data target. </span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">iv. Currency translations are possible in update
rules.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">c) Using transfer rules you can assign
DataSource fields to corresponding InfoObjects of the InfoSource. Transfer
rules give you possibility to cleanse data before it is loaded into BW.<br />
Update rules describe how the data is updated into the InfoProvider from the
communication structure of an InfoSource.<br />
If you have several InfoCubes or ODS objects connected to one InfoSource you
can for example adjust data according to them using update rules.<br />
<br />
<b>Only in Update Rules:</b> a. You can use return tables in update rules which
would split the incoming data package record into multiple ones. This is not
possible in transfer rules. <br />
b. Currency conversion is not possible in transfer rules.<br />
c. If you have a key figure that is a calculated one using the base key figures
you would do the calculation only in the update rules.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">16. What is OSS?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">OSS is
Online support system runs by SAP to support the customers.<br />
You can access this by entering OSS1 transaction or visit Service.SAP.Com and
access it by providing the user name and password.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">17. How to transport BW object?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Follow the steps.<br />
<br />
i. RSA1 > Transport connection <br />
ii. In the right window there is a category "all object according to
type"<br />
iii. Select required object you want to transport.<br />
iv. Expand that object, there is select object, double click on this you will
get the number of objects, select yours one.<br />
v. Continue.<br />
vi. Go with the selection, select all your required objects you want to
transport.<br />
vii. There is icon Transport Object (Truck Symbol).<br />
viii. Click that, it will create one request, note it down this request.<br />
ix. Go to Transport Organizer (T.code SE01).<br />
x. In the display tab, enter the Request, and then go with display.<br />
xi. Check your transport request whether contains the required objects or not,
if not go with edit, if yes "Release" that request.<br />
<br />
That’s it; your coordinator/Basis person will move this request to Quality or
Production.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">18. How to unlock objects in Transport
Organizer?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">To unlock a transport use Go to SE03 -->
Request Task --> Unlock Objects</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Enter your request and select unlock and
execute. This will unlock the request.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">19. What is InfoPackage Group?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">An
InfoPackage group is a collection of InfoPackages.<br />
<br />
<b>20. Differences Between Infopackage Groups and Process chains</b><br />
i.Info Package Groups are used to group only Infopackages<br />
where as Process chains are used to automate all the processes.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">ii Infopackage goups:<br />
Use to group all relevent infopackages in a group, (Automation of a group of
infopackages only for dataload). Possible to Sequence the load in order. <br />
Process Chains:<br />
Used to automate all the processes including Dataload<br />
and all Administrative Tasks like indices creation deletion, Cube compression
etc<br />
Highly controlled dataloading.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">iii<b>. </b>InfoPackage Groups/Event Chains are
older methods of scheduling/automation. Process Chains are newer and provide
more capabilities. We can use ABAP programs and lot of additional features like
ODS activation and sending emails to users based on success or failure of data
loads.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<br /></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">21. What are the critical issues you faced and
how did you solve it?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Find your own answer based on your experience..<b> </b></span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">22. What is Conversion Routine?</span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">a) Conversion Routines are used to convert data
types from internal format to external/display format or vice versa.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">b) These are function modules.<br />
c) There are many function modules, they will be of type<br />
CONVERSION_EXIT_XXXX_INPUT, CONVERSION_EXIT_XXXX_OUTPUT.<br />
<br />
example:<br />
<br />
CONVERSION_EXIT_ALPHA_INPUT<br />
CONVERSION_EXIT_ALPHA_OUTPUT<br />
<b><br />
23. Difference between Start Routine and Conversion Routine<br />
</b>In the start routine you can modify data packages when data loading.
Conversion routine usually refers to routines bound to InfoObjects (or data
elements) for conversion of internal and display format.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">24. What is the use of setup tables in LO
extraction? </span></b><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">The use of setup table is to store your
historical data in them before updating to the target system. Once you fill up
the setup tables with the data, you need not to go to the application tables
again and again which in turn will increase your system performance.<br />
<br />
<b>25. R/3 to ODS delta update is good but ODS to Cube delta is broken. How to
fix it?<br />
</b>i. Check the Monitor (RSMO) what’s the error explanation. Based on
explanation, we can check the reason<br />
<br />
ii. Check the timings of delta load from R3 – ODS – CUBE if conflicting after
ODS load<br />
<br />
iii. Check the mapping of Transfer/Update Rules <br />
<br />
iv. Fails in RFC connection</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">v. BW is not set as source system<br />
<br />
vi. Dump (for a lot of reasons, full table space, time out, sql errors...)<br />
Do not receive an IDOC correctly.<br />
<br />
vii. There is a error load before the last one and so on...</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="background: #F5FAFA; line-height: 15.0pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;">
<b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">26. What is short dump and how to rectify?<br />
</span></b><span style="color: black; font-family: Verdana; font-size: 10.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";">Short
dump specifies that an ABAP runtime error has occurred and the error messages
are written to the R/3 database tables. You can view the short dump through
transaction ST22.<br />
You get short dumps b'coz of runtime errors. The short dump u got is due to the
termination of background job. This could be of many reasons.<br />
<br />
You can check short dumps in T-code ST22. U can give the job tech name and your
userid. It will show the status of jobs in the system. Here you can even
analyze short dump. U can use ST22 in both R/3 and BW.<br />
<br />
OR To call an analysis method, <br />
choose Tools --> ABAP Workbench --> Test --> Dump-Analysis from the
SAP Easy Access menu. <br />
In the initial screen, you must specify whether you want to view today’s dump
or the dump from yesterday. If these selection criteria are too imprecise, you
can enter more specific criteria. To do this, choose Goto --> Select Short
Dump <br />
You can display a list of all ABAP dumps by choosing Edit --> Display List.
You can then display and analyze a selected dump. To do this, choose Short Dump
--> Dump Analysis.</span><span style="color: black; font-family: "Times New Roman"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal">
<br /></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com3tag:blogger.com,1999:blog-6668557786081504415.post-90888214497456192252013-10-19T02:08:00.000-07:002014-11-19T18:42:47.141-08:00Production Issues<div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Hi All...here is the list of SAP BI Production Support
issues along with the resolution. Hope it will be helpful for the people who
are working in support environment.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">1. <u>DTP Failure</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Select the step-> right click and select
“Display Message”-> there we will get the message which gives the reason for
ABEND.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">A DTP can failure due to following reasons, in
such case we can go for restarting the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">System Exception Error</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Request Locked</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">ABAP Run time error.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Duplicate records</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Erroneous Records from PSA.</span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l8 level1 lfo1; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Duplicate records</span></u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">:</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">
In case of duplication in the records, we can find it in the error message
along with the Info Provider’s name. Before restarting the job after deleting
the bad DTP request, we have to handle the duplicate records. Go to the info
provider -> DTP step -> Update tab -> check handle duplicate records
-> activate -> Execute DTP. After successful competition of the job
uncheck the Handle Duplicate records option and activate.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">DTP Log Run</span></u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">:</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l1 level1 lfo2; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If a DTP is taking log time than the regular run time
without having the back ground job, then we have to turn the status of the DTP
into Red and then delete the DTP bad request (If any), repeat the step or
restart the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l11 level1 lfo3; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Before restarting the Job/ repeating the DTP step,
make sure about the reason for failure.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l11 level1 lfo3; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If the failure is due to “Space Issue” in the F fact
table, engage the DBA team and also BASIS team and explain them the issue.
Table size needs to be increased before performing any action in BW. It’ll be
done by DBA Team. After increasing the space in the F fact table we can restart
the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Erroneous Records from
PSA:</span></u><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 20.25pt; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">
When ever a DTP fails because of erroneous records while fetching the data from
PSA to Data Target, in such cases data needs to be changed in the ECC. If it is
not possible, then after getting the approval from the business, we can edit
the Erroneous records in PSA and then we have to run the DTP.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 20.25pt; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go to PSA -> select
request -> select error records -> edit the records and save.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 20.25pt; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Then run the DTP.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">2. <u>INFO
PACKAGE FAILURE:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">The following are the reasons for Info Pack failure.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l7 level1 lfo4; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Source System Connection failure</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l7 level1 lfo4; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">tRFC/IDOC failure</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l7 level1 lfo4; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Communication Issues</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l7 level1 lfo4; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Processing the IDOC Manually in BI</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l5 level1 lfo5; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Check the source system connection with the help of
SAP BASIS, if it is not fine ask them to rebuild the connection. After that
restart the job (Info Pack).</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 20.25pt; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go to RSA1 ->
select source system -> System -> Connection check.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l0 level1 lfo6; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">In case of any failed tRFC’s/IDOC’s, the error message
will be like “Error in writing the partition number DP2” or “Caller 01, 02
errors”. In such case reprocess the tRFC/IDOC with the help of SAP BASIS, and
then job will finish successfully.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;"> </span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l3 level1 lfo7; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If the data is loading from the source system to DSO
directly, then delete the bad request in the PSA table, then restart the job</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l2 level1 lfo8; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Info Pack Long Run: If an info pack is running long,
then check whether the job is finished at source system or not. If it is
finished, then check whether any tRFC/IDOC struck/Failed with the help of SAP
BASIS. Even after reprocessing the tRFC, if the job is in yellow status then
turn the status into “Red”. Now restart / repeat the step. After completion of
the job force complete.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l4 level1 lfo9; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Before turning the status to Red/Green, make sure
whether the load is of Full/Delta and also the time stamp is properly verified.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l13 level1 lfo10; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Time Stamp
Verification</span></u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">:</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Select Info Package-> Process Monitor -> Header
-> Select Request -> Go to source System (Header->Source System) ->
Sm37-> give the request and check the status of the request in the source
system -> If it is in active, then we have to check whether there any
struck/failed tRFC’s/IDOC’s</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If the request is in Cancelled status in Source system
-> Check the Info Pack status in BW system -> If IP status is also in
failed state/cancelled state -> Check the data load type (FULL or DELTA)
-> if the status is full then we can turn the Info Package status red and
then we can repeat/restart the Info package/job. -> If the load is of Delta
type then we have to go RSA7 in source system-> (Compare the last updated
time in Source System SM37 back ground job)) Check the time stamp -> If the
time stamp in RSA7 is matching then turn the Info Package status to Red ->
Restart the job. It’ll fetch the data in the next iteration</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If the time stamp is not updated in RSA7 -> Turn
the status into Green -> Restart the job. It’ll fetch the data in the next
iteration.</span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; margin-left: .5in; mso-padding-alt: 0in 0in 0in 0in; mso-yfti-tbllook: 1184;">
<tbody>
<tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;">
<td style="border: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 104.25pt;" valign="bottom" width="104"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Source System</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-left-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 88.5pt;" valign="bottom" width="89"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">BW System</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-left-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Source System RSA7</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-left-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Source System SM37</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-left-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 75.0pt;" valign="bottom" width="75"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Action</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 1;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 104.25pt;" valign="bottom" width="104"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<i><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">I/P
Status RED(Cancelled)</span></i><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 88.5pt;" valign="bottom" width="89"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<i><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">I/P
Status (Active)</span></i><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<i><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Time
stamp matching with SM37 last updated time</span></i><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<i><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Time
stamp matching with RSA7 time stamp</span></i><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 75.0pt;" valign="bottom" width="75"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<i><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Turn
the I/P Status into Red and Restart the Job</span></i><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 2;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 104.25pt;" valign="bottom" width="104"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status RED(Cancelled)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 88.5pt;" valign="bottom" width="89"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status (Cancelled)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp matching with SM37 last updated time</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp matching with RSA7 time stamp</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 75.0pt;" valign="bottom" width="75"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Turn the I/P Status into Red and Restart the Job</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 3;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 104.25pt;" valign="bottom" width="104"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status RED(Cancelled)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 88.5pt;" valign="bottom" width="89"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status (Active)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp is not matching with SM37 last
updated time</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp is not matching with RSA7 time stamp</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 75.0pt;" valign="bottom" width="75"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Turn the I/P status into Green and Restart the job</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 4; mso-yfti-lastrow: yes;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt; width: 104.25pt;" valign="bottom" width="104"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status RED(Cancelled)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 88.5pt;" valign="bottom" width="89"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">I/P Status (Cancelled)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp is not matching with SM37 last
updated time</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 87.0pt;" valign="bottom" width="87"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Time stamp is not matching with RSA7 time stamp</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; padding: 0in 5.4pt 0in 5.4pt; width: 75.0pt;" valign="bottom" width="75"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Turn the I/P status into Green and Restart the job</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</td>
</tr>
</tbody></table>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l10 level1 lfo11; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><b><u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Processing the IDOC
Manually in BI:</span></u></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">When there is an IDOC which is stuck in the BW and
successfully completed the background job in the source system, in such cases
we can process the IDOC manually in the BW.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go to Info Package -> Process Monitor -> Details
-> select the IDOC which is in yellow status(stuck) -> Right click ->
Process the IDOC manually -> it’ll take some time to get processed.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">******Make sure that we can process the IDOC in BW
only when the back ground job is completed in the source system and stuck in
the BW only.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">3. <u>DSO
Activation Failure:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">When there is a failure in DSO activation step, check
whether the data is loading to DSO from PSA or from the source system directly.
If the data is loading to DSO from PSA, then activate the DSO manually as
follows</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l9 level1 lfo12; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Right click DSO Activation Step -> Target
Administration -> Select the latest request in DSO -> select Activate
-> after request turned to green status, Restart the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l12 level1 lfo13; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If the data is loading directly from the source system
to DSO, then delete the bad request in the PSA table, then restart the job</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">4. <u>Failure
in Drop Index/ Compression step:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">When there is a failure in Drop Index/ compression
step, check the Error Message. If it is failed due to “Lock Issue”, it means
job failed because of the parallel process or action which we have performed on
that particular cube or object. Before restarting the job, make sure whether
the object is unlocked or not.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">There is a chance of failure in Index step in case of
TREX server issues. In such cases engage BASIS team and get the info reg TREX
server and repeat/ Restart the job once the server is fixed.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; margin-left: .5in; margin-right: 0in; margin-top: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Compression Job may fail when there is any other job
which is trying to load the data or accessing from the Cube. In such case job
fails with the error message as “Locked by ......” Before restarting the job,
make sure whether the object is unlocked or not.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">5. <u>Roll Up
failure:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-indent: .5in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">“Roll Up” fails due to Contention Issue. When there is
Master Data load is in progress, there is a chance of Roll up failure due to
resource contention. In such case before restarting the job/ step, make sure
whether the master data load is completed or not. Once the master data load
finishes restart the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">6. <u>Change Run
– Job finishes with error RSM 756</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><u><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;"> </span></u></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">When there is a failure in the attribute change run
due to Contention, we have to wait for the other job (Attribute change run)
completion. Only one ACR can run in BW at a time. Once the other ACR job is
completed, then we can restart/repeat the job.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">We can also run the ACR manually in case of nay
failures.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go to RSA1-> Tool -> Apply Hierarchy/Change Run
-> select the appropriate Request in the list for which we have to run ACR
-> Execute.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">7. <u>Transformation
In-active:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">In case of any changes in the production/moved to the
production without saving properly or any modification done in the
transformation without changing, in such cases there is a possibility of Load
failure with the error message as “ Failure due to Transformation In active”.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">In such cases, we will have to activate the
Transformation which is inactive.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go to RSA1 -> select the transformation ->
Activate</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span lang="EN-GB" style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">In case of no
authorization for activating the transformation in production system, we can do
it by using the Function Module - </span><b><span style="border: none windowtext 1.0pt; color: #333333; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">RSDG_TRFN_ACTIVATE</span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Try the following steps to use
the program "RSDG_TRFN_ACTIVATE” here you will need to enter certain
details:</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Transformation ID:
Transformation’s Tech Name (ID)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Object Status: ACT</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Type of Source: “Source Name”</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Source name: “Source Tech Name”</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Type of Target: Target Name</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Target name: “Target Tech Name”</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin: 0in; mso-list: l6 level1 lfo14; tab-stops: list .5in; text-indent: -.25in; vertical-align: baseline;">
<span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit;"><span style="mso-list: Ignore;">A.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Execute. The Transformation
status will be turned into Active.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Then we can restart the job.
Job will be completed successfully.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span style="border: none windowtext 1.0pt; color: #333333; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;"> 8. <u>Process
Chain Started from the yesterday’s failed step:</u></span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">In few instances, process chain
starts from the step which was failed in the previous iteration instead of
starting from the “Start” step.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">In such cases we will have to
delete the previous day’s process chain log, to start the chain form the
beginning (from Start variant).</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Go To ST13-> Select the
Process Chain -> Log -> Delete.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Or we can use Function Module
for Process Chain Log Deletion: RSPROCESS_LOG_DELETE.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Give the log id of the process
chain, which we can get from the ST13 screen.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Then we can restart the chain.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><u><span style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Turning the Process Chain Status using Function Module:</span></u></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">At times, when there is no progress in any of
the process chains which is running for a long time without any progress, we
will have to turn the status of the entire chain/Particular step by using the
Function Module.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<u><span style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Function Module</span></u><span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">: </span><b><span style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">RSPC_PROCESS_FINISH</span></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">The program
"RSPC_PROCESS_FINISH" for making the status of a particular process
as finished.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">To turn any DTP load which was
running long, so please try the following steps to use the program
"RSPC_PROCESS_FINISH" here you need to enter the following details:</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">LOG ID: this id will be the id
of the parent chain.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">CHAIN: here you will need to
enter the chain name which has failed process.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">TYPE: Type of failed step can
be found out by checking the table "RSPCPROCESSLOG" via
"SE16" or "ZSE16" by entering the Variant & Instance of
the failed step. The table "RSPCPROCESSLOG" can be used to find out
various details regarding a particular process.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">INSTANCE & VARIANT:
Instance & Variant name can be found out by right clicking on the failed
step and then by checking the "Displaying Messages Options" of the
failed step & then checking the chain tab.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">STATE: State is used to
identify the overall state of the process. Below given are the various states
for a step.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">R Ended with errors</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">G Successfully completed</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">F Completed</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">A Active</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">X Canceled</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">P Planned</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">S Skipped at restart</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Q Released</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Y Ready</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">Undefined</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; color: #333333; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">J Framework Error upon
Completion (e.g. follow-on job missing)</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; vertical-align: baseline;">
<b><span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">9. </span></b><b><u><span style="border: none windowtext 1.0pt; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; padding: 0in;">Hierarchy save Failure:</span></u></b><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: justify; text-indent: .25in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">When
there a failure in Hierarchy Save, then we have to follow the below process...</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: justify; text-indent: .25in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">If
there is an issue with Hierarchy save, we will have to schedule the Info
packages associated with the Hierarchies manually. Then we have to run Attribute
Change Run to update the changes to the associated Targets. Please find the
below mentioned the step by step process...</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: justify; text-indent: .25in; vertical-align: baseline;">
<span style="border: none windowtext 1.0pt; font-size: 12.0pt; mso-ascii-font-family: Calibri; mso-bidi-font-family: "Times New Roman"; mso-border-alt: none windowtext 0in; mso-fareast-font-family: "Times New Roman"; mso-hansi-font-family: Calibri; padding: 0in;">ST13->
Select Failed Process Chain -> Select Hierarchy Save Step -> Rt click
Display Variant -> Select the info package in the hierarchy -> Go to RSA!
-> Run the Info Package Manually -> Tools -> Run Hierarchy/Attribute
Change Run -> Select Hierarchy List (Here you can find the List of
Hierarchies) -> Execute.</span><span style="font-family: "inherit","serif"; font-size: 9.0pt; mso-bidi-font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman";"></span></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-91260887869326984842013-10-18T23:20:00.001-07:002014-11-19T18:43:19.008-08:00SAP BI/BW Roles and Skills<div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
<h2>
BW Data Extraction Consultant</h2>
<h3>
Description</h3>
<div class="MsoNormal">
The BW Data Extraction Consultant is responsible to identify
and obtain the data required to satisfy the requirements of the BW
project.<span style="mso-spacerun: yes;"> </span>This data may include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>SAP
R/3 data</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>New
Dimension product data</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Data
external to SAP within the organization (legacy data)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Data
external to SAP from outside the organization (provider data – D&B,
Nielson)</div>
<div class="MsoNormal" style="mso-list: skip;">
The BW Data Extraction Consultant role
has a broad range of responsibilities and may require multiple individuals to
satisfy the role depending on the scope of the BW project and the complexity
and quality of the data.</div>
<div class="MsoNormal" style="mso-list: skip;">
If SAP R/3 and New Dimension data only
is required to satisfy requirements and if this data is included in the
standard Business Content of BW, this role may be combined with the BW
Application Consultant role.<span style="mso-spacerun: yes;"> </span>This
standard Business Content allows for extraction of R/3 and New Dimension data
in a straightforward and rapid manner.</div>
<div class="MsoNormal" style="mso-list: skip;">
If non-SAP data is required, if
standard Business Content must be enhanced significantly, if BAPI interfaces
are being used, and/or if the data quality from the source system is
insufficient, this role can be quite complex and can required significant
resources.<span style="mso-spacerun: yes;"> </span>This complexity and quality
of data is a primary contributor to the size and scope of the BW project.</div>
<div class="MsoNormal" style="mso-list: skip;">
If legacy data is being extracted a
close relationship is required with the legacy extraction expert.<span style="mso-spacerun: yes;"> </span>In some cases, the legacy extraction expert
may assume this responsibility.</div>
<h3>
Time Commitment</h3>
<div class="HIDEHTML">
<span lang="EN-GB" style="mso-ansi-language: EN-GB; mso-font-kerning: 14.0pt; mso-hide: none;"><span style="mso-spacerun: yes;"> </span>– the time
which must be committed to this Role to ensure the project requirements are met</span></div>
<table border="1" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-table-layout-alt: fixed;">
<tbody>
<tr>
<td style="border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<h4>
Project Complexity</h4>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<h4>
Time Commitment</h4>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Low</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If
standard Business Content of BW is the only data required, this role can be
combined with the BW Application Consultant.<span style="mso-spacerun: yes;">
</span>The role is primarily performed during the early to mid-phases of the
project with completion of extractions required by the middle of the project
so that testing, training, and implementation can be completed.</div>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Medium</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If
extensions to the standard Business Content of BW is required (either by
including addition SAP data or extracting from non-SAP sources), this role
should be satisfied by individuals other than the BW Application Consultant
so that efforts may continue in parallel.</div>
</td>
</tr>
<tr style="mso-yfti-lastrow: yes;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
High</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Depending
on the complexity and quality of the data necessary to satisfy the
requirements, this role may require a significant number of resources.<span style="mso-spacerun: yes;"> </span>A resource could potentially be required
for each major extraction that has to be developed.</div>
</td>
</tr>
</tbody></table>
<h3>
Key Attributes</h3>
<div class="MsoNormal">
Key attributes of an individual supporting the analysis and
design functions of this role include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>SAP
R/3 and BW application knowledge in the business process area</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>The
ability to develop a solution using BW to solve a company’s business
requirements</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>The
ability to work effectively in a diversified team</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
analytical skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>The
ability to work independently and as a team member</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
time management skills and multi-tasking capabilities </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Knowledge
of application software tools, including presentation, spreadsheet, and word
processing applications </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>A
working understanding of the AcceleratedSAP methodology and tools</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Experience
in the customer’s industry</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the source data (both SAP and non-SAP data)</div>
<div class="MsoNormal">
Key attributes of an individual supporting the development
functions of this role include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Experience
with data warehouse data analysis</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Experience
with data extraction development </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Detailed
knowledge of the data required to be extracted</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Knowledge
of the customer’s current business processes</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Knowledge
of data quality issues</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Knowledge
of scheduling tools</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
indepth understanding of specific data extraction tools or development language
being used to extract the data (e.g., 4GL’s or specialized data extraction
tools, BAPI’s)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
written and oral communication skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
analytical skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>The
ability to work in diversified teams </div>
<h3>
Key Tasks</h3>
<div class="MsoNormal" style="mso-list: skip;">
Specifically, the BW Data Extraction
Consultant is responsible for:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Designing
the data solution to satisfy defined business requirements</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Identifying
the data in the source environment</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Mapping
the data to the BW environment</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Identifying
data quality gaps</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
a plan to close data quality gaps</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
the required extraction programs, if necessary</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
the associated interface programs, if necessary</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Testing
of all developed programs</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Ensuring
integration testing of data from various sources </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
a production support plan </div>
<h3>
Don’ts</h3>
<div class="MsoNormal">
The BW Data Extraction Consultant should not become
ineffective because of long-standing data quality problems, but should identify
these problems and escalate them to the <span style="color: black; layout-grid-mode: line;">Customer Project Manager for resolution.<span style="mso-spacerun: yes;">
</span>Often data quality and inconsistency issues are systemic in the
organization and must be addressed a higher level in the organization to get
resolved.</span></div>
<div class="MsoNormal">
<span style="color: black; layout-grid-mode: line;">Avoid the
tendency to attempt to cleanse all data within the BW extraction process.<span style="mso-spacerun: yes;"> </span>Often data cleansing is best performed at the
legacy source system level.</span></div>
<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="color: navy; font-family: Arial; font-size: 16.0pt; mso-ansi-language: EN-GB; mso-bidi-font-family: "Times New Roman"; mso-bidi-font-size: 10.0pt; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US; mso-font-kerning: 14.0pt;"><br clear="all" style="page-break-before: always;" />
</span></b>
<h2>
BW Data Access Consultant</h2>
<h3>
Description</h3>
<div class="MsoNormal">
The BW Data Access Consultant is responsible to assess the
business requirements, and design and develop a data access solution for the BW
project.<span style="mso-spacerun: yes;"> </span>This solution may include use
of:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW’s
Business Explorer</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Non-SAP
Data Access tools (e.g., Business Objects, Cognos, Crystal Reports, and other
certified data access tools)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Visual
Basic development</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Web
development</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>WAP
(wireless) development</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>R/3
drill-through </div>
<div class="MsoNormal" style="mso-list: skip;">
The BW Data Access Consultant role has
a broad range of responsibilities and may require multiple individuals to
satisfy the role depending on the scope of the BW project and the requirements
associated with data access.</div>
<div class="MsoNormal" style="mso-list: skip;">
The BW Data Access Consultant should
work closely with the individuals responsible for business requirements
gathering and analysis and have a thorough understanding of the way the data
will be used to make business decisions.</div>
<div class="MsoNormal" style="mso-list: skip;">
Often significant change management
issues are generated as a result of modifications required by end users to the
data access design and implementation.<span style="mso-spacerun: yes;">
</span>As a result the BW Data Access Consultant is in a key position to
provide valuable information to the change agent or change management process.</div>
<h3>
Time Commitment</h3>
<div class="HIDEHTML">
<span lang="EN-GB" style="mso-ansi-language: EN-GB; mso-font-kerning: 14.0pt; mso-hide: none;"><span style="mso-spacerun: yes;"> </span>– the time
which must be committed to this Role to ensure the project requirements are met</span></div>
<table border="1" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-table-layout-alt: fixed;">
<tbody>
<tr>
<td style="border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<h4>
Project Complexity</h4>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<h4>
Time Commitment</h4>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Low</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If
standard Queries from BW are used and the Business Explorer is the tool
selected, this effort can be performed by the BW Application Consultant</div>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Medium</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If
modifications or significant extensions are required to the Queries from BW,
a resource should be committed specifically to work in this area.</div>
</td>
</tr>
<tr style="mso-yfti-lastrow: yes;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
High</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If a
product other than the Business Explorer is selected, a skilled consultant
with this expertise should be committed to the project.<span style="mso-spacerun: yes;"> </span>If VBA or Web development is needed, this
too requires specialized skills and resources.</div>
</td>
</tr>
</tbody></table>
<h3>
Key Attributes</h3>
<div class="MsoNormal">
The BW Data Access Consultant should have:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
business emphasis and perspective</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Excellent
communication skills since the role works closely with the end users of the BW</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Experience
with the appropriate data access tool(s)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Strong
analytical skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the customer’s business processes</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the associated output/display requirements </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>The
ability to work with diversified teams </div>
<h3>
Key Tasks</h3>
<div class="MsoNormal" style="mso-list: skip;">
Specifically, the BW Data Access
Consultant is responsible for designing the data access solution to include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Understanding
the data that will be available in BW in business terms</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Identifying
the way end users want to analyze the data in BW</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Designing
the data access solution to satisfy defined business requirements</div>
<div class="MsoNormal" style="mso-list: skip;">
The BW Data Access Consultant is also
responsible for developing the data access solution to include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
options for data access (i.e. web solution, R/3 drill through, ODS reporting,
master data reporting, 3<sup>rd</sup> party tools)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
prototypes of data access for review with end users</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
the required data access solutions </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
the associated interface programs and/or customized web enhancements, if
necessary</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Configuring
the Reporting Agent, if necessary</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Configuring
the GIS </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Testing
of all developed solutions</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Ensuring
integration testing of data access solution</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
a production support plan</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Working
with training development to include data access solution in BW course
materials</div>
<h3>
Don’ts</h3>
<div class="MsoNormal">
The BW Data Access Consultant should not assume that they
know what the end user wants without developing and demonstrating prototypes
throughout the process.<span style="mso-spacerun: yes;"> </span>Often end user
requirements evolve as they see the kind of data that is available.</div>
<div class="MsoNormal">
Also, the BW Data Access Consultant should not wait until
all valid data is available in BW before developing prototypes, but rather use
data that is not valid where the end user will focus on the design of the
access method rather than the data.</div>
<b style="mso-bidi-font-weight: normal;"><span style="color: navy; font-family: Arial; font-size: 16.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: "Times New Roman"; mso-bidi-font-size: 10.0pt; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US;"><br clear="all" style="page-break-before: always;" />
</span></b>
<h2>
BW Data Architect </h2>
<h3>
Description</h3>
<div class="MsoNormal">
The BW Data Architect is responsible for the overall data
design of the BW project.<span style="mso-spacerun: yes;"> </span>This includes
the design of the:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
InfoCubes (Basic Cubes, Multi-cubes, Remote cubes, and Aggregates)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
ODS Objects</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Datamarts</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Logical
Models</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Process Models</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Enterprise Models</div>
<div class="MsoNormal" style="mso-list: skip;">
The BW Data Architect plays a critical
role in the BW project and is the link between the end user’s business
requirements and the data architecture solution that will satisfy these
requirements.<span style="mso-spacerun: yes;"> </span>All other activities in
the BW project are contingent upon the data design being sound and flexible
enough to satisfy evolving business requirements.</div>
<h3>
Time Commitment</h3>
<div class="HIDEHTML">
<span lang="EN-GB" style="mso-ansi-language: EN-GB; mso-font-kerning: 14.0pt; mso-hide: none;"><span style="mso-spacerun: yes;"> </span>– the time
which must be committed to this Role to ensure the project requirements are met</span></div>
<table border="1" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-table-layout-alt: fixed;">
<tbody>
<tr>
<td style="border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<h4>
Project Complexity</h4>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<h4>
Time Commitment</h4>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Low</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project utilizes standard BW content and InfoCubes, this role can be
satisfied by the BW Application Consultant. </div>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Medium</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project requires enhancements to the standard BW content and InfoCubes
and/or requires the integration of non-SAP data, this role may require a
committed resource.</div>
</td>
</tr>
<tr style="mso-yfti-lastrow: yes;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
High</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project requires significant modification and enhancement to standard BW
content and InfoCubes, it is highly recommended that an experienced resource
be committed full-time to the project.</div>
</td>
</tr>
</tbody></table>
<h3>
Key Attributes</h3>
<div class="MsoNormal">
The BW Data Architect must have:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the BW data architecture</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of multidimensional modeling</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the differences between operational systems data modeling and
data warehouse data modeling</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the end user’s data</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>An
understanding of the integration points of the data (e.g., customer number,
invoice number)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Excellent
troubleshooting and analytical skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Excellent
communication skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Technical
competency in data modeling</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Multi-language
skills, if an international implementation </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Working
knowledge of the BW and R/3 application(s) </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Experience
with Data Modeling application software (i.e., ERWIN, Oracle Designer,
S-Designer, etc.) </div>
<h3>
Key Tasks</h3>
<div class="MsoNormal" style="mso-list: skip; tab-stops: 30.9pt 32.6pt;">
The BW Data
Architect is responsible for capturing the business requirements for the BW
project.<span style="mso-spacerun: yes;"> </span>This effort includes:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Planning
the business requirements gathering sessions and process</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Coordinating
all business requirements gathering efforts with the BW Project Manager</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Facilitating
the business requirements gathering sessions</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Capturing
the information and producing the deliverables from the business requirements gathering
sessions</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Understanding
and documenting business definitions of data</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Developing
the data model</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Ensuring
integration of data from both SAP and non-SAP sources</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Fielding
questions concerning the data content, definition and structure</div>
<div class="MsoNormal">
This role should also address other critical data design
issues such as:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Granularity
of data and the potential for multiple levels of granularity</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Use
of degenerate dimensions</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>InfoCube
partitioning </div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Need
for aggregation at multiple levels</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Need
for storing derived BW data</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Ensuring
overall integrity of all BW Models</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Providing
Data Administration development standards for business requirements analysis
and BW enterprise modeling</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Provide
strategic planning for data management</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Impact
analysis of data change requirements</div>
<div class="MsoNormal">
As stated above, the BW Data Architect is responsible for
the overall data design of the BW project.<span style="mso-spacerun: yes;">
</span>This includes the design of the:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
InfoCubes (Basic Cubes, Multi-cubes, Remote cubes, and Aggregates)</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
ODS Objects</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Datamarts</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Logical
Models</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Process Models</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Enterprise Models </div>
<b style="mso-bidi-font-weight: normal;"><span style="color: navy; font-family: Arial; font-size: 14.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: "Times New Roman"; mso-bidi-font-size: 10.0pt; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US;"><br clear="all" style="page-break-before: always;" />
</span></b>
<h3>
Don’ts</h3>
<div class="MsoNormal">
The BW Data Architect should not become distracted with
issues outside the data modeling arena but should be allowed to focus on the
issues surrounding optimizing the data design for the BW project.</div>
<div class="MsoNormal">
The BW Data Architect should design to satisfy specific
business requirements, but should keep in mind the overall, long-term goals of
the BW in the organization.</div>
<b style="mso-bidi-font-weight: normal;"><span style="color: navy; font-family: Arial; font-size: 16.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: "Times New Roman"; mso-bidi-font-size: 10.0pt; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US;"><br clear="all" style="page-break-before: always;" />
</span></b>
<h2>
BW Application Consultant</h2>
<h3>
Description</h3>
<div class="MsoNormal" style="mso-list: skip;">
The BW Application Consultant is
responsible for utilizing BW to satisfy the business requirements identified
for the project.<span style="mso-spacerun: yes;"> </span>As provided in the
other roles<b style="mso-bidi-font-weight: normal;">, if the scope of the BW
project is tightly controlled and can use standard BW Business Content,
InfoCubes, and Queries</b>, the BW Application Consultant may assume the
responsibility to perform several roles concurrently to include:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Data Architect</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Data Access Consultant</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>BW
Data Extraction Consultant</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>SAP
Project Manager</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="color: black; layout-grid-mode: line;">Business Process Team Lead</span></div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="color: black; layout-grid-mode: line;">Authorization Administrator</span></div>
<div class="MsoNormal">
If this occurs, the BW Application Consultant must have a
broad range of skills and this position will be under significant pressure
during the course of the BW project.<span style="mso-spacerun: yes;"> </span>In
this situation, the BW Application Consultant inherently must be responsible
for the overall integrated design and realization of the BW solution.</div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">If the project scope
is broad and must extend Business Content, InfoCubes and/or Queries</b>, then
the project warrants resources being assigned to the roles identified
above.<span style="mso-spacerun: yes;"> </span>In this case, the BW Application
Consultant is responsible for the overall integrated design and coordinated
realization of the BW solution.</div>
<div class="MsoNormal">
If this role is assumed by an SAP Consultant, often the
expectations are that they are familiar with all components and functionality
of Business Information Warehouse.<span style="mso-spacerun: yes;"> </span>This
role often naturally becomes a focal point for all design consideration related
to BW.</div>
<h3>
Time Commitment</h3>
<div class="HIDEHTML">
<span lang="EN-GB" style="mso-ansi-language: EN-GB; mso-font-kerning: 14.0pt; mso-hide: none;"><span style="mso-spacerun: yes;"> </span>– the time
which must be committed to this Role to ensure the project requirements are met</span></div>
<table border="1" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-table-layout-alt: fixed;">
<tbody>
<tr>
<td style="border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<h4>
Project Complexity</h4>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<h4>
Time Commitment</h4>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Low</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project utilizes standard BW content, InfoCubes, and/or Queries this role
can be satisfied by the BW Application Consultant.<span style="mso-spacerun: yes;"> </span>If this occurs, this is full-time
responsibility. </div>
</td>
</tr>
<tr>
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
Medium</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project requires enhancements to the standard BW content, InfoCubes,
and/or Queries, and/or requires the integration of non-SAP data, this role
should not assume responsibility for all activities, but other resources
should be assigned.<span style="mso-spacerun: yes;"> </span>If this occurs,
the BW Application Consultant can assume a less than full-time role.</div>
</td>
</tr>
<tr style="mso-yfti-lastrow: yes;">
<td style="border-top: none; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 203.85pt;" valign="top" width="204">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
High</div>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 238.95pt;" valign="top" width="239">
<div class="MsoList" style="margin-left: 0in; mso-list: none; text-indent: 0in;">
If the
BW project requires significant modification and enhancement to standard BW
content, InfoCubes, and/or Queries it is highly recommended that an
experienced resource (other than the BW Application Consultant) be committed
to the project to satisfy these roles. <span style="mso-spacerun: yes;"> </span>If this occurs, the BW Application
Consultant should assume a full-time responsibility.</div>
</td>
</tr>
</tbody></table>
<h3>
Key Attributes</h3>
<div class="MsoNormal">
The BW Application Consultant must have:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Excellent troubleshooting and analytical skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Excellent communication skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Excellent time management skills</div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Excellent problem resolution and organizational
skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Technical competency; with strong computer
skills </div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Multi-language skills, if an international
implementation </div>
<div class="MsoList" style="mso-list: l0 level1 lfo2;">
<span style="mso-bidi-font-family: Arial; mso-fareast-font-family: Arial;"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";">
</span></span></span>Working knowledge of the BW and R/3
application(s) </div>
<h3>
Key Tasks</h3>
<div class="MsoNormal">
The BW Application Consultant (or one of the resources
identified above) uses the BW Administrator Workbench to perform the functions
provided by BW:</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Establish
connections to the BW sources</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Activate
the standard Business Content</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Enable
the standard InfoCubes and Queries</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Enhance
the InfoCubes as required by the BW Data Architect</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Enhance
the Queries as required by the BW Data Access Consultant</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Define
authorization profiles and access</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Evaluate
statistical performance and make recommendations to Basis support for
optimization where possible</div>
<div class="MsoList" style="mso-list: l0 level1 lfo1;">
<span style="font-family: "Times New Roman";"><span style="mso-list: Ignore;">»<span style="font: 7.0pt "Times New Roman";"> </span></span></span>Manage
the CTS layer</div>
<h3>
Don’ts</h3>
<div class="MsoNormal">
There is a tendency to reply completely on this resource for
the project.<span style="mso-spacerun: yes;"> </span>This is not recommended,
since these resources will consistently be in demand and individuals having
this broad range of skills are difficult to find and keep on a project.<span style="mso-spacerun: yes;"> </span>Cross-training of resources is essential to
ensure the sustainability of the project.</div>
<div class="MsoNormal">
Ensure that this role does not assume ownership
responsibility for OSS notes related to BW.</div>
<b style="mso-bidi-font-weight: normal;"><span style="color: navy; font-family: Arial; font-size: 16.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: "Times New Roman"; mso-bidi-font-size: 10.0pt; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US;"><br clear="all" style="page-break-before: always;" />
</span></b>
<h2>
BW Basis Consultant</h2>
<h3>
Description</h3>
<div class="MsoNormal">
The BW Basis Person must be able to advise on BW Landscape
issues, Transport environment, Authorisation, Performance Issues of Database
and BW, Installation of BW Server, Plug Ins and Frontend (For all layers there
are patches / support packages) that should be regularly installed. </div>
<div class="MsoNormal">
This role can be assumed by the Basis Consultant (However,
additional BW skills are absolutely necessary) </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-40793243028930413492013-10-18T20:43:00.000-07:002015-12-27T16:44:01.193-08:00SAP BW Functionality<div dir="ltr" style="text-align: left;" trbidi="on">
<br />
<div class="post-body entry-content" id="post-body-5076603228257456463" itemprop="description articleBody" style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; width: 530px;">
<div>
<span style="background-color: white;"><span style="font-family: verdana;">Functionality of BW backend is spread into several development packages. <span style="font-family: 'Trebuchet MS', Verdana, Arial, sans-serif;"><span style="font-family: verdana;">Sometimes dev. package is called development class. Currently SAP BW System has its development objects (programs, tables, screens, DDIc objects, function modules, etc.) grouped in over 689 development packages. Together with SAP Basis common installation of SAP BW has about 3.756 development packages.</span> Below is the list of T-codes of which you may be knowing most but still a collection of valuables.....</span></span></span><br />
<br />
<span style="background-color: white;"><span style="font-family: verdana;"><span style="font-family: 'Trebuchet MS', Verdana, Arial, sans-serif;"><span style="color: blue;"><b>Source<span style="font-family: 'Trebuchet MS', Verdana, Arial, sans-serif;">: http://blog.maruskin.eu/2009/10/where-is-all-bw-functionality-hidden.html</span></b></span> </span></span></span></div>
<div class="separator" style="clear: both;">
<span style="background-color: white;"><br /></span></div>
<div class="separator" style="clear: both;">
<span style="background-color: white;"><span style="font-size: x-small;">RS BW: General Business Information Warehouse </span></span></div>
<span style="background-color: white;"><span style="font-size: x-small;">RSA0 BW SAPI Maintenance and Enhancement from 2.0A <br />RSA1 Source System Metadata API (from BW 2.0A) <br />RSAC_TOOL Tools for Customizing Data Staging <br />RSADA BW Porting MaxDB <br />RSAI Release-Dependent Objects for OLTP IMG <br />RSAN Analytical Applications: General Tools <br />RSAN_ADP APD - Tool - Application Adapter <br />RSAN_APD APD - Main Package <br />RSAN_APD_APP APD - Application <br />RSAN_APD_NODES APD - Tool - Nodes <br />RSAN_APD_TOOL APD - Tool - Main Package <br />RSAN_CLTV Analytical Applications: CLTV <br />RSAN_DM_ADAPTER Analysis Process - Data Mining Adapter - !! Language EN !!<br />RSAN_IS_ADAPTER APD - Tool - IS Service Adapter <br />RSAN_MAREO Analytical CRM: Direct Marketing Optimization <br />RSAN_MDL APD - Tool - Object Model <br />RSAN_MDLH APD - Tool - Object Model Header <br />RSAN_OM APD - Tool - Services - Serialization <br />RSAN_PR APD - Application - Analysis Process Designer <br />RSAN_PRR APD - Application - Analysis Process Run (Monitor) <br />RSAN_REGR APD: Regression <br />RSAN_RFM CRM Analytics: RFM Analysis <br />RSAN_RPM Marketing Response Modeling <br />RSAN_RR APD - Tool - Result References <br />RSAN_RT APD - Tool - Runtime <br />RSAN_RTR APD - Tool - Runtime Result Handling Layer <br />RSAN_SURV Analytical Applications: Customer Satisfaction and Loyalty<br />RSAN_TANGO Analytical CRM: Assignment Optimizer <br />RSAN_TOOLS CRM Analytics: Tools <br />RSAN_TOPAS Analytical CRM: Assignment Optimizer <br />RSAN_UT APD - Utility Services <br />RSAN_UT_GENERAL APD - Utility Services - general <br />RSAN_UT_RESULT APD - Utility Services - Temporary Result Storage <br />RSAN_UT_TYPE APD - Utility Services - Unified Field Metadata Handling<br />RSAN_VI APD - Tool - Viewer Nodes - !! Language EN !! <br />RSAN_WB APD - Tool - User Interface <br />RSAN_WBH APD - Tool - User Interface - Main Control <br />RSAOLTP OLTP Metadata <-> BW Metadata Interface <br />RSAPO Interface for APO <br />RSAR Data import from source system <br />RSARCH BW Archiving <br />RSAR_DEP Release-Specific RSAR Objects <br />RSAR_EN Outsourced englisch objects of package RSAR <br />RSASEL Data Transfer: Selection Criteria <br />RSAT General tree support / lining level <br />RSAU Update <br />RSAWB BW: Administrator's Workbench <br />RSAWBN Data Warehousing Workbench <br />RSAWBNDF Data Warehousing Workbench Data Flow <br />RSAWBN_OBJ DW Workbench: Object Implementations <br />RSAWBN_REQ Package For the Transport Browser <br />RSAWBN_SER DW Workbench Services <br />RSAWBN_TOOLS DW Workbench: Own Tools <br />RSAY Release-Dependent with Seperate Versions f. 3.1I, 4.X u. 6.X<br />RSB Business Information Warehouse: Data Marts <br />RSBAPI BAPIs from the Business Information Warehouse <br />RSBATCH Batch Manager for BW <br />RSBCMD Data Transfer Process: Commands <br />RSBIUSG RSBIUSG <br />RSBK Data Transfer Process: Kernel Objects <br />RSBM Data Transfer Process: Log and Monitor <br />RSBO Open Hub - Maintenance and Execution <br />RSBOLAP Data Access Layer for Consumers <br />RSBOLAP_BICS_CONSUMER Services for Java Consumer Services <br />RSBOLAP_BICS_EXITS Exit for BIC's <br />RSBOLAP_BICS_ITEM_EXIT Package for ITEM Exits <br />RSBOLAP_BICS_PROVIDER BICS Provider <br />RSBOLAP_BICS_PROVIDER_VAR Variables in BI Consumer Services <br />RSBOLAP_GENERAL Contains general objects for RSBOLAP <br />RSBOLAP_QUERY_VIEW Query Navigational State <br />RSBOLAP_QUERY_VIEW_INTERNAL Internal Interfaces for Query View Processing <br />RSBOLAP_SELECTION_OBJECT Selection object <br />RSBOLAP_SELECTION_OBJECT_INT Internal Interfaces for Selection Object <br />RSBOLAP_SELECTION_OBJECT_IOBJ Selection Object That Is Directly Based on InfoObjects <br />RSBRAT BW Runtime Analytics Tool <br />RSBW BW Component Hierarchy <br />RSB_GUI Open Hub Service - GUI <br />RSCAF CAF BW integration utilities <br />RSCC BW Customizing <br />RSCDS Summarization Routines for Fact Table <br />RSCI Objects for Special Web Items <br />RSCNV Package for Metadata Remodeling <br />RSCNV_API Remodeling API <br />RSCON_EW Early Watch Reporting for BI Content <br />RSCOPA SAP BW-Objects for R/3 CO-PA (Profitability Analysis) <br />RSCR Formatted Reporting <br />RSCRM BW Objects for CRM <br />RSCRM_BAPI Segmentation BAPI <br />RSCRM_INTERFACES Interfaces for CRM <br />RSCRM_LEGACY Mapping the BDS Key for Query Views to New View ID <br />RSCRT (Near)-Real-Time Data Transfer into BW <br />RSCR_SICF Formatted Reporting SICF objects <br />RSCTT Currency Conversions in Business Information Warehouse <br />RSD BW: General data basis <br />RSDA BW Data Archiving and Near-line Storage. Core Functions <br />RSDAS BW: Data Access Services <br />RSDA_NEARLINE_IF_LOCAL Local Nearline Interface for SAP BW <br />RSDA_SDB BW Archiving: Nearline Adapter for MaxDB <br />RSDA_TCO Technical Content: BW Archiving <br />RSDA_WS BW Archiving: Near-Line Adapter for Web Service <br />RSDA_WSD BW Nearline Storage: Web Service Definition <br />RSDB2 BW: Porting DB2-z/OS <br />RSDB4 BW: Porting AS400 <br />RSDB6 BW: Port DB6 <br />RSDB6_7EHP1 Development EHP1 / BI 7.01 and BI 7.11 <br />RSDD BW: Data basis data manager <br />RSDDK BW Aggregates <br />RSDDMD Load Master Data; Delete (Copied from RSDD) <br />RSDDTPS Polestar Integration <br />RSDDTPS_FML RSDDTPS_FML <br />RSDDTPS_HIER RSDDTPS_HIER <br />RSDDTPS_PROV RSDDTPS_PROV <br />RSDDTPS_SHT Polestar Integration <br />RSDDTPS_UI RSDDTPS_UI <br />RSDDTREX TREX Aggregate <br />RSDDTZA BIA ZA Maintenance Monitor and Functions <br />RSDD_STAT BW Statistics <br />RSDG BW: Data basis generation <br />RSDINP Data Entry for Demo and Prototyping <br />RSDL BW: DB Connect - SDK Connect <br />RSDM Data Mining <br />RSDMD Master Data Update <br />RSDMDD Delete Master Data by Package <br />RSDMMD Visualization of the InfoCube Data Model <br />RSDP MS Analysis Server Functionality, Offline <br />RSDQM Data Quality Management <br />RSDRC Data Manager InfoProvider Read Access <br />RSDRD Delete Data Manager Data <br />RSDRI Data Manager External Interfaces <br />RSDRI_DF Data Federator Facade <br />RSDRP Data Manager Query Handler <br />RSDRS Data Manager SQL Interface <br />RSDRU Data Manager Database Utilities <br />RSDRV Data Manager Virtual InfoProvider <br />RSDS Apollo DataSource <br />RSDSH_WP_ADDON Add-on for Search Help Support in Drag&Relate <br />RSDS_ACCESS Access Methods Apollo DataSource <br />RSDS_QUEUE BW Delta Queue for Push DataSources <br />RSDT BW Web Designtime <br />RSDU_REPART Repartitioning of InfoProvider <br />RSD_MD Master Data Services in Reporting Context <br />RSEC BI AS Analysis Authorizations <br />RSECLOPD Special Revision Requirements <br />RSENQ Lock Manager <br />RSEPM Enterpise Procurement Model Repository Objects <br />RSER Report Designer (reserved). Also see RS_BEX_REPORT <br />RSESH Enterprise Search: Connector to BI <br />RSEXT Enhancement Options in BW <br />RSFC Technology for Functional Content <br />RSFC_TXT Texts for RSFC Transaction <br />RSFO Integration of Formula Editor in Transfer/Update Rules <br />RSFO_DEP Release-Specific RSDO Objects <br />RSFO_DEP_ Release-Dependent Objects from Package RSFO <br />RSFREQUENT_UPLOAD Frequent data upload from source systems <br />RSGIS BEx GIS Server Components <br />RSGM Graphical Model <br />RSGMD Graphical Modeling: Data Flow Model <br />RSGRAPHICS BW: Classes for Network Graphics <br />RSIGS Functions for IGS Call <br />RSIMG IMG Texts and Release Notes <br />RSINF BW: Porting Informix <br />RSIO Maintenance of Source System Propoerties of IOs <br />RSIS Intelligent Services Definitions <br />RSISC Intelligent Services Content <br />RSISD Intelligent Services Demo <br />RSISP Intelligent Services Parameterization Components <br />RSISR Intelligent Services Runtime <br />RSISW Intelligent Services Workbench <br />RSIWA Impact and Water Level Display - Apollo <br />RSIWP ILM: Connection to BW <br />RSKS InfoSource 7.0 <br />RSMD Master Data Conversion (Alpha) <br />RSMDM_BI_INTEGRATION Business Information Warehouse: MDM Integration <br />RSMDP Master Data Processing <br />RSMD_RS Master Data Read Services ( Value Help etc) <br />RSMD_UC Master Data Services: Where-Used-Check <br />RSMIGR DB Heterogeneous Migration <br />RSMMR Metamodel Repository (ABAP) <br />RSMMR_BI MMR BI Persistence Component (ABAP stack) <br />RSMRM_ACCR Accrual Models <br />RSMRM_CORM Coupon Redemption Modeling <br />RSMRM_GENERAL MRM: General objects <br />RSMRM_MKTCAL MRM: Marketing Calendar / Gantt Charts <br />RSMSS Microsoft SQL Server Porting <br />RSNDI Interface for NDIs (SEM, CRM) <br />RSNETGRAPHIC Network Control BW <br />RSO BW Repositiory <br />RSOA BW OLTP Direct Access <br />RSOBJS Object Services (Only for Blocking the Namespace) <br />RSOD KW Document Link <br />RSODSO Main Package for All RSODSO_* Packages <br />RSODSO_ACTIVATION DataStore Object: Activation of Data <br />RSODSO_API APIs for DataStore Objects (Read, Write, Create, etc.) <br />RSODSO_DTP DTP-Relevant Implementation for ODS Objects <br />RSODSO_RDA Real-Time Data Acquisition for DataStore Objects <br />RSODSO_ROLLBACK DataStore Object: Deletion of Requests <br />RSODSO_RSDRO DataStore Object: 3.0/3.5 Development <br />RSODSO_RUNTIME Runtime Measurement <br />RSODSO_SID SID Generation in Context of DataStore Objects <br />RSODSO_TOOLS Tools for DataStore Objects <br />RSODSO_UPDATE DataStore Object: Loading of Data <br />RSORA BW: Oracle Porting <br />RSOS TRex Search for BW Repository Objects <br />RSP BW: General objects for BW reporting components <br />RSPA BW: ABAP classes for BW reporting components <br />RSPC Process Chains <br />RSPC_SAPCPS StdDev. <br />RSPLF Planning Services Framework <br />RSPLFA API Framework for Planning Services <br />RSPLFB Planning Service Builder <br />RSPLFC Services Type Planning <br />RSPLFD Planning Service Type (Definition) <br />RSPLFR Planning Services Runtime <br />RSPLFS Planning Service <br />RSPLFU Utilities <br />RSPLPPM Planning Process Management <br />RSPLS Planning: General Services <br />RSPLS_ALVL Planning: Aggregation Level <br />RSPLTC Technical Content for BI Planning Process Management <br />RSPLW Planning Workbench <br />RSPOR Portal Integration <br />RSQBW BW-Specific Parts of the InfoSet Query <br />RSQM_UTIL_VIRT QM Check Utilities for Component SAP_BW_VIRTUAL_COMP <br />RSQVT SAP Query Analysis Tool <br />RSR BW: General reporting processor <br />RSRB BW: Batch Reporting <br />RSRB12 Batch reporting objects in release 1.2 <br />RSRB20 Objects of Batch Reporting in Release 2.0 <br />RSRD BW: Broadcasting <br />RSRD_ADMIN Broadcasting Administration <br />RSRD_MS Broadcasting - Integration in MS Office <br />RSREQARCH Archiving of Request - Status Management <br />RSROA OLAP Aggregation Engine <br />RSROUT Routines <br />RSRQ BW Tools (BWT) <br />RSRTRACE BW: OLAP Trace Tool <br />RSRV Analysis and Repair of BW Objects <br />RSR_CACHE BW: Reporting Processor Cache <br />RSR_DR BW Interface to Drag&Relate <br />RSR_EXCEL_PRECALC Package for Precalculation of Workbooks <br />RSR_EXCEL_RUNTIME Excel Runtime Objects <br />RSR_EXPLAIN Explain Key Figure <br />RSR_HIER OLAP Hierarchy - Services <br />RSR_HIER_THJT TLOGO: Temporal Hierarhcy Join - Type <br />RSR_MDX OLE DB for OLAP & OLAP BAPI <br />RSR_MONITOR Query Monitor & OLAP Services <br />RSR_PARAMETRISATION Persistance Layer of Parametrisation objects <br />RSR_QPROV Query provider <br />RSR_SQL SQL Execution in XML for Analysis <br />RSR_THEMES Themes administration for BW (Analyzer, Reportdesigner) <br />RSR_TRANSIENT_SOURCE RSR_TRANSIENT_SOURCE <br />RSR_VARIABLES RFC Modules for Access to the Variable Container <br />RSS BW: General services <br />RSSBR BW: Reporting Authorization Check <br />RSSBR_SMUM BW Authorization - Marketplace User Management Enhancement<br />RSSBS BI AS Reporting Authorizations <br />RSSDK UDConnect Elements <br />RSSEM SEM Connection to BW <br />RSSF BW: Mobile Sales Interface <br />RSSH BW: Hierarchy Processing - General <br />RSSHWD Web Dynpro Hierarchy Maintenance <br />RSSM BW: General monitoring and scheduling <br />RSSO Processing of Any Selections in BW <br />RSST BW: Test Plans <br />RSSZ BW: General Services for Customer Master Data <br />RSTCC BW Technical Content (Content) <br />RSTCC_IMG BW: IMG for Adminstration Cockpit <br />RSTCC_OLAP BI Technical Content (Content: OLAP Statistics) <br />RSTCC_STATUS BW Technical Content (Content: Status) <br />RSTCC_WHM BW Technical Content (Content: WHM Statistics) <br />RSTCO_UT BW: Utility Programs for Technical Content <br />RSTCT BW Technical Content (Technology) <br />RSTRAN Transformation <br />RSTRAN_FOBU Formulas in the Transformation <br />RSTRAN_GUI GUI Components for Transformation Rule <br />RSTRAN_GUI_STEP Maintenance Interfaces for Rule Steps <br />RSTRAN_R Transformation Runtime <br />RSTRAN_RULE Rules <br />RSTRAN_T Single Rule Test <br />RSTRAN_TMPL Transformation: Migration <br />RSTRAN_UTEST <br />RSTRAN_VIEW Transformation View <br />RSTT Entire Trace Tool for SAP NetWeaver 2005 (BW) <br />RSTT_DB Trace Tool for SAP Netweaver 2005 (BW): Persistence Layer<br />RSTT_ENGINE Trace Tool for SAP Netweaver 2005 (BW): Engine Layer <br />RSTT_TRACE Trace Tool for SAP Netweaver 2005 (BW): Data Object Layer<br />RSTT_UI Trace Tool for SAP Netweaver 2005 (BW): User Interface Layer<br />RSTT_UTIL Adaptation of system-dependent components during transport<br />RSU0 BW Service API: Data Transfer <br />RSU1 BW Service API: Tools and Generic Extractors <br />RSU2 Delta Queue of Service APIs (from 4.0B) <br />RSU3 S-API Test Objects <br />RSU4 SAPI Test Objects from 4.0B <br />RSU5 Service API: Release-Dependent Objects from Basis 6.10 <br />RSUD Business Information Warehouse: Direct Access in SAP Systems<br />RSUM BW Service API: Metadata <br />RSUOM Quantity Conversions in Business Information Warehouse <br />RSUQ SAP Query: BW Extractor Connection <br />RSU_EXTRACTION_TRACING Extraction Tracing for System Measurement <br />RSWEBRUNTIME Web Runtime Environment Functions <br />RSZ BEx query definition server <br />RSZA Web Query Designer <br />RS_AA_CM Analytical Application CM <br />RS_AA_CM_BW Analytical Application CM: CDT Extraction <br />RS_AA_WREX Data Retraction BW -> R/3 Retail <br />RS_AA_WRMA Analytical Application RMA - Retail <br />RS_AA_WRMA_BE AA: Interfaces between RMA Engine and BW <br />RS_AA_WRMA_RE Interfaces between RMA Engine and R/3 <br />RS_ADOB Components for Adobe Template Designer Integration <br />RS_ANALYTIC_MODEL Generation and Administration of Models <br />RS_BA_RFC_INFOPROV Bank Analyzer <br />RS_BBS BW: Adjusting BBS in BW (KCBRST) <br />RS_BCT_ABAP Business Content Move For BC6 <br />RS_BCT_AD BW: Content IBU Aerospace&Defense <br />RS_BCT_AFS BW: Content IBU Apparel and Footwear Solution. <br />RS_BCT_AHD BW: Content AHD - Alternative Historical Data <br />RS_BCT_AII BW Content: Auto-ID Infrastructure <br />RS_BCT_APO BW: Content APO (Advanced Planner and Optimizer) <br />RS_BCT_APO_AA BW: Content APO for Analytic Composites <br />RS_BCT_APO_CDS Content APO_CDS <br />RS_BCT_AU BW: Content IBU Automotive <br />RS_BCT_AUD BW: Audit Management Content <br />RS_BCT_AU_LMN BW: Content IBU Automotive Long Material Number <br />RS_BCT_BA BW: Content IBU Banking <br />RS_BCT_BALANCE_SHEET BW: Content Balance Sheet <br />RS_BCT_BA_ALM Business Content ALM <br />RS_BCT_BA_ALM_AA Business Content: ALM for Analytic Composites <br />RS_BCT_BA_FDB BW: Content: Connection of Feeder Systems to FDB <br />RS_BCT_BA_IAS BW: Content IAS Reporting <br />RS_BCT_BA_US BW: Content IBU Banking for US <br />RS_BCT_BBP BW: Content BBP (Business-to-Business Procurement) <br />RS_BCT_BBP_AA BW: Content BBP for Analytical Composites <br />RS_BCT_BBP_EN BW: Content BBP (English) <br />RS_BCT_BBP_EN_AA BW: Conent BBP (English) for Analytic Composites <br />RS_BCT_BE BW: Content BE (Billing Engine) <br />RS_BCT_BEV BW: Content Beverage <br />RS_BCT_BPM <br />RS_BCT_BPM_HCM BW: Content Business Process Management HCM Integration <br />RS_BCT_CATS BW: Content CATS (Worksheet) <br />RS_BCT_CA_CS BW: Content Case Management <br />RS_BCT_CB BW: Content Content Browser <br />RS_BCT_CBILL BW Content: Contract & Billing <br />RS_BCT_CCMS_CPH BW: Content CCMS System Management Data <br />RS_BCT_CCMS_CPH_EXTRACTORS CCMS System Management CPH Extractors <br />RS_BCT_CCMS_STAT_EXTRACTORS Extractors for R/3- and Non-R/3-Statistics Data <br />RS_BCT_CCMS_WEBAS_STAT BW Content: Integration OF WebAs Statistics Data <br />RS_BCT_CFM BW: Content CFM (Corporate Finance Management) <br />RS_BCT_CFO BW: Content cFolders Analytics <br />RS_BCT_CGV_MIC BW: Content Management of Internal Controls <br />RS_BCT_CGV_MIC_AA BW: Content Mgmt of Internal Controls for Analytic Compos.<br />RS_BCT_CHEM BW: Content Chemical Industry <br />RS_BCT_CHEM_AA BW: Content Chemical Industry for Analytic Composites <br />RS_BCT_CI BW: Content Objects for Conent Integrator <br />RS_BCT_CM BW: Content CM (Category Management) <br />RS_BCT_CMCP BW Business Content Category Mangement Consumer Prod. (eng.)<br />RS_BCT_CMCP_AA BW: Category Management Content for Analytic Composites <br />RS_BCT_CML Business Content Core Banking Mortgage Loans <br />RS_BCT_CO BW: Content CO (Controlling) <br />RS_BCT_CONTTOOLS_ABAP ABAP Coding for Tooldevelopment <br />RS_BCT_CONTTOOLS_BI BI CONTENT Object for development <br />RS_BCT_COPYTOOLS BI Content Copy Tools (Queries + Views) for SAP Analytics<br />RS_BCT_CO_AA BW: Content CO (Controlling) for Analytic Composites <br />RS_BCT_CO_EN BW: Content CO (Controlling) - English <br />RS_BCT_CO_EN_AA BW: Content CO (Controlling) - English for Analytical Compos<br />RS_BCT_CP BW: Content CP (Consumer Products) <br />RS_BCT_CPR Business Content for cProjects <br />RS_BCT_CPR_AA BW: cProjects Content for Analytic Composites <br />RS_BCT_CP_AA BW: Content CP (Consumer Products) for Analytic Composites<br />RS_BCT_CQM xApp Cost and Quotation Management <br />RS_BCT_CRM BW: Content CRM (Customer Relationship Management) <br />RS_BCT_CRMSPA BW: Content CRM Sales Performance Analysis <br />RS_BCT_CRM_AA CRM Content for Analytic Composites <br />RS_BCT_CRM_ALERT BW Content: Alert Integration CRM/BW <br />RS_BCT_CRM_CHM BW Business Content for Channel Management <br />RS_BCT_CRM_CHM_AA BI Content for Channel Management for Analytic Composites<br />RS_BCT_CRM_CIC_EVENTLOG BI Content: IC Event Log Analysis <br />RS_BCT_CRM_CMS BW: Content Channel Management <br />RS_BCT_CRM_CXP BI Content: Tools for CRM on Demand <br />RS_BCT_CRM_ENG BW: CRM English Content <br />RS_BCT_CRM_ENG_AA BI Content in English for CRM Analytic Composites <br />RS_BCT_CRM_FIN BW: Content CRM Financing <br />RS_BCT_CRM_IC BW: Content CRM Interaction Center <br />RS_BCT_CRM_ICM BW: Content CRM Incentives and Commission Management <br />RS_BCT_CRM_IC_AA BI Cont.: CRM Interaction Center for Analytic Composites<br />RS_BCT_CRM_IC_RTOM BI Content: CRM IC Real-Time Offer Management <br />RS_BCT_CRM_IOBJECT BW: Content CRM Individual Objects <br />RS_BCT_CRM_RDL BW: Content for CRM Rebate Due List <br />RS_BCT_CRM_SERVICE BW: Content CRM Service <br />RS_BCT_CRM_SERVICE_AA BI Content for CRM Service for Analytic Composites <br />RS_BCT_CRM_SVY_CAT <br />RS_BCT_CRM_TSS BW: Content for Time Stamp Analysis <br />RS_BCT_CRM_WEBUTIL BW: Content CRM Analytics Web Reporting Utilities <br />RS_BCT_CRM_WFM BW: Content CRM Workforce Management <br />RS_BCT_CRM_WFM_AA BI Cont.: CRM Workforce Management for Analytic Composities<br />RS_BCT_CROOM BW: Content CROOM (C-ROOM) <br />RS_BCT_DB BW: Content D&B (Dun & Bradstreet) <br />RS_BCT_DEMO_DATA BW: Content DEMO (Demo Content, partly with CSV files) <br />RS_BCT_DOCUMENTATION BW: Content - Documentation Objects <br />RS_BCT_DPE BW: Content DPE (Dynamic Pricing Engine) <br />RS_BCT_EACC BW: Content e-Accounting <br />RS_BCT_EC BW: Content EC (Enterprise Controlling) <br />RS_BCT_ECM BW: Content Enterprise Compensation Management <br />RS_BCT_EC_AA BI: Cont. EC (Enterprise Controlling) f. Analytic Composites<br />RS_BCT_EE BW: Content Entitlement Analytics <br />RS_BCT_EHS BW: Environment, Health and Safety Content <br />RS_BCT_ELBK BI Content: IS A&D ELogbook <br />RS_BCT_ELM Business Content External List Management <br />RS_BCT_EPM BW: Content ERP Plant Manager <br />RS_BCT_ERC BW Content E-Recruiting <br />RS_BCT_ERC_AA BW: Content E-Recruiting for Analytic Composites <br />RS_BCT_EWM BW Content: Extended Warehouse Management <br />RS_BCT_FC BW Content for Contract Accounts Receivable and Payable <br />RS_BCT_FC_AA BW Content: Cont.Accts. Rec. and Payable for Analytic Comps.<br />RS_BCT_FC_EN BW Content for Contract Accounts Receivable and Payable <br />RS_BCT_FI BW: Content FI (Financial Accounting) <br />RS_BCT_FIN_FSCM_BD BW: Biller Direct Content <br />RS_BCT_FIXIO BW: Content Fixe InfoObjects <br />RS_BCT_FI_FSCM BW: Content Financial Supply Chain Management <br />RS_BCT_FI_FSCM_AA BI: Cont. Financial Supply Chain Mgt for Analytic Composites<br />RS_BCT_FI_FSCM_CDM BI: Credit Management Content <br />RS_BCT_FI_FSCM_CLM BW: Content Collections Management <br />RS_BCT_FI_PL BW: Content Financial Statement Planning <br />RS_BCT_FM BW: Content FM (Funds Management) <br />RS_BCT_FM_AA BW: FM (Funds Management) Content for Analytic Composites<br />RS_BCT_FP BW: Content for Financial Services Business Partner <br />RS_BCT_FRE BW: Content F&R <br />RS_BCT_FRE_AA BW: Forecasting & Replenishment Content for Analytic Compos.<br />RS_BCT_FS Business Content IBU Financial Services <br />RS_BCT_FS_AA Business Cont. IBU Financial Services for Analyt. Composites<br />RS_BCT_FS_CMS BW: Content CMS Collateral Management <br />RS_BCT_GENERAL BW: Content General <br />RS_BCT_GN BW: Content Generic InfoObjects <br />RS_BCT_GRC_RM BW: Content GRC Risk Management <br />RS_BCT_HAP BW Business Content for Objective Setting and Appraisals<br />RS_BCT_HC BW: Content IBU Healthcare <br />RS_BCT_HC_AA BW: Content IBU Healthcare for Analytic Composites <br />RS_BCT_HC_AT <br />RS_BCT_HC_DE <br />RS_BCT_HR_LSO BW Business Content for Learning Solution (HR) <br />RS_BCT_HR_LSO_AA Business Cont. for Learn. Sol. (HR) f. Analytic Composites<br />RS_BCT_HR_MSS Business Content: HR - Manager Self-Service <br />RS_BCT_HT_DRM BW: Content IBU HiTech - Distributor Reseller Management<br />RS_BCT_ICH BW: Content Inventory Collaboration Hub <br />RS_BCT_ICH_AA BW: Content Inventory Collaboration Hub for Analytic Comp.<br />RS_BCT_ICH_REWO BW: Content Inventory Collaboration Hub - Work Order <br />RS_BCT_ICM BW: Content for Incentive and Commission Management <br />RS_BCT_IDG BW: Content Int. Dev. (International Development) <br />RS_BCT_IM BW: IM Content (Investment Management) <br />RS_BCT_IMS BW: Content IMS - External Data Provider <br />RS_BCT_IMS_USA BW: Content for IMS (USA) <br />RS_BCT_INM BW: Content Innovation Management <br />RS_BCT_IPM Business Content IPM (Intellectual Property Management) <br />RS_BCT_IPM_AA Business Cont. IPM (Intel. Prop. Manag.) f. Analyt. Compos.<br />RS_BCT_IS BW: Content IBU Insurance <br />RS_BCT_IS_AA BW: Content Insurance for Analytic Composites <br />RS_BCT_IS_CM Business Content <br />RS_BCT_JVA BW: Content Joint Venture Accounting <br />RS_BCT_LES BW: LES Content (Logistic Execution System) <br />RS_BCT_LIME BW: Content Lean Inventory Management Engine <br />RS_BCT_LIV BW: Content Invoice Verification <br />RS_BCT_LO BW: LO Content (General Logistics) <br />RS_BCT_LOPD BW: Content Spanish Data Protection Law <br />RS_BCT_LOYALTY_MARKETING BW: Content Loyalty Marketing (IBU Retail) <br />RS_BCT_LO_AB BW: Content LO-AB (Agency Business) <br />RS_BCT_LO_GT BW: Global Trade Content <br />RS_BCT_MA BW: Content Marketplace <br />RS_BCT_MDM BW Content: Master Data Management <br />RS_BCT_ME BW: IBU Media Content <br />RS_BCT_ME_AA BW: Content IBU Media for Analytic Composites <br />RS_BCT_MM BW: Content MM (Materials Management) <br />RS_BCT_MM_AA BW: Cont. MM (Materials Management) for Analytic Composites<br />RS_BCT_MM_EN BW: Content MM (Materials Management) - English <br />RS_BCT_MM_EN_AA Content MM (Materials Management) En. f. Analytic Composites<br />RS_BCT_MSP BW: Maintenance and Service Planning Content <br />RS_BCT_NWV BW: Content Netweaver Voice <br />RS_BCT_OBJIS BW: Content Object Information System <br />RS_BCT_OI BW: IBU Oil&Gas Content <br />RS_BCT_OI_AA BW: Content IBU Oil&Gas for Analytic Composites <br />RS_BCT_OI_EP BW: Content IBU OIL&Gas-EP (Exploration & Production) <br />RS_BCT_OI_SSR BW: Content IBU Oil Service Station Convenience Retailing<br />RS_BCT_OI_TSW BW: Content IS Oil Scheduling Analytics <br />RS_BCT_ORA BW: Content Oracle Applications <br />RS_BCT_PA BW: PA Content (Personnel Administration) <br />RS_BCT_PAPF BW Content: Pension Fund <br />RS_BCT_PA_AA BW: Content PA (Personnel Admin.) for Analytic Composites<br />RS_BCT_PA_AS BW: Content PA (Personnel Admin.) Administrative Services<br />RS_BCT_PA_EIC BW: Content PA Employee Interaction Center <br />RS_BCT_PCRM Business Content CRM SAP Portals <br />RS_BCT_PD BW: Content PD (xApp Product Definition) <br />RS_BCT_PE BW: PE Content (Training and Event Management) <br />RS_BCT_PERS BW: Content Objects for Personalization Data <br />RS_BCT_PFI Business Content FI SAP Portals <br />RS_BCT_PFO BW: Content for Portfolio Assignment <br />RS_BCT_PH BW: Content IBU Pharmaceuticals <br />RS_BCT_PIM Business Content IM SAP Portals <br />RS_BCT_PIPE_IDOCS BW Business Content: IDocs for Pipe <br />RS_BCT_PMCS BW: PM/CS Content (Plant Maintenance, Customer Service) <br />RS_BCT_PMCS_AA BW: Cont. PM/CS (Plant Maintenance, Customer Service) f.A.C.<br />RS_BCT_PMCS_EN <br />RS_BCT_PMIQ BW: Campus Management (CM) Content <br />RS_BCT_PMIQ_AA BW: Content CM (Campus Management) for Analytic Composites<br />RS_BCT_PMM Business Content MM SAP Portals <br />RS_BCT_PP BW: PP Content (Production) <br />RS_BCT_PPP Business Content PP SAP Portals <br />RS_BCT_PPP_AA Business Content PP SAP Portals for Analytic Composites <br />RS_BCT_PP_AA BW: Content PP (Production) for Analytic Composites <br />RS_BCT_PP_KANBAN BW: Content PP (Production) Kanban <br />RS_BCT_PP_MAN BW: Content PP - Manufacturing Capacity Utilization <br />RS_BCT_PP_MAN_AA Cont PP - Manuf.Capacity Utilization f. Analytic Composites<br />RS_BCT_PS BW: PS Content (Project System) <br />RS_BCT_PSCD BW: Collection and Disbursement Content <br />RS_BCT_PSCD_AA Collection and Disbursement for Analytic Composites <br />RS_BCT_PSD Business Content SD SAP Portals <br />RS_BCT_PSD_AA BW: Content SD SAP Portals for Analytic Composites <br />RS_BCT_PSM_BCS BW: Content PSM - Budget Control System <br />RS_BCT_PSM_DFS BW Content: IBU Public Sector - Defence Services <br />RS_BCT_PSM_FA BW: Content Fund Accounting <br />RS_BCT_PSM_FMFG BW: Content IBU PSM - Federal Government <br />RS_BCT_PSM_GM BW: Content PSM - Grants Management <br />RS_BCT_PSM_GM_AA BW: Content PSM - Grants Management for Analytic Composites<br />RS_BCT_PSM_GTR BW: Grantor Management Content <br />RS_BCT_PSM_GTR_AA BW: Grantor Management Content - English - for Anal. Comp.<br />RS_BCT_PSSRM Business Content: Procurement for Public Sector <br />RS_BCT_PSSRM_CTR Business Content: Contract Management for Public Sector <br />RS_BCT_PSV BW: Content Professional Service <br />RS_BCT_PSV_AA BW: Content Professional Service for Analytic Composites<br />RS_BCT_PT BW: Content PT (Time Management) <br />RS_BCT_PT_AA BW: PT Content (Time Management) for Analytic Composites<br />RS_BCT_PY BW: Content PY (Payroll) <br />RS_BCT_QM BW: Content QM/PM/CS (Qual. Man., Plant Maint., Cust. Serv.)<br />RS_BCT_QM_AA Cont. QM/PM/CS (Qual.Man., Plant Maint., Cust.Serv.)for A.C.<br />RS_BCT_QM_EN BW: Content QM/PM/CS - English <br />RS_BCT_QM_EN_AA BW: Content QM/PM/CS - English - for Analytic Composites<br />RS_BCT_RC BW: Content IBU Retail Campbell <br />RS_BCT_RE BW: RE Content (Real Estate Management) <br />RS_BCT_RETAIL BW: Content IBU Retail <br />RS_BCT_RETAIL_EXAMPLES BW: Content IBU Retail - Examples <br />RS_BCT_RETAIL_FASHION BW Content: Retail - Fashion <br />RS_BCT_RETAIL_LEDGER BW: Content IBU Profit Center Analytics Retail <br />RS_BCT_RETAIL_MAP BW: Content MAP <br />RS_BCT_RETAIL_MAP_AA BW: MAP Content for Analytic Composites <br />RS_BCT_RETAIL_POSDW BW: Content POS Analytics <br />RS_BCT_RETAIL_POSDW_AA BW: POS Analytics Content for Analytic Composites <br />RS_BCT_RETAIL_POSDW_EN BW: Content POS Analytics <br />RS_BCT_RETAIL_POSDW_IDOCS BW: POS IDocs <br />RS_BCT_RETAIL_STOCKL BW: Content Retail Stock Ledger <br />RS_BCT_RE_FX BW: Content Flexible Real Estate Management <br />RS_BCT_RPM Business Content: RPM (Resource & Program Management) <br />RS_BCT_RPM_AA BW: Content Resource and Program Management f. Analytic Comp<br />RS_BCT_SBO BW: Content for SAP Business One - SAP BW Integration <br />RS_BCT_SBS BW: Content Small Business Solution - SAP BI Integration<br />RS_BCT_SBS2 BW: Content Small Business Solution - SAP BI Integration<br />RS_BCT_SCEM BW: Content SCEM (Supply Chain Event Management) <br />RS_BCT_SCEM_EN BW: Content Supply Chain Event Management - English <br />RS_BCT_SCM BW: Content SCM <br />RS_BCT_SCM_AA BW: Content SCM for Analytic Composites <br />RS_BCT_SCM_DC BW: Content Supply Chain Demand Combination <br />RS_BCT_SCM_SOP BW Content: SCM Sales & Operations Planning <br />RS_BCT_SCP BI Content Succession Planning <br />RS_BCT_SD BW: Content SD (Sales and Distribution) <br />RS_BCT_SD_AA BW: Content SD (Sales) for Analytic Composites <br />RS_BCT_SEM BW: Content SEM (Strategic Enterprise Management) <br />RS_BCT_SEM_AA BI: Cont. SEM (Strategic Enterprise Mgmt) f. Analytic Comp.<br />RS_BCT_SEM_STATISTICS BW: Content SEM BCS Application Monitoring <br />RS_BCT_SLL BW: Content for SAP Global Trade Services <br />RS_BCT_SM SAP Solution Manager <br />RS_BCT_SM2 SAP Solution Manager <br />RS_BCT_SMD SAP Solution Manager - Diagnotics <br />RS_BCT_SP BW: IBU Service Provider Content <br />RS_BCT_SPL_COBJ BW: Content Service Parts Logistics - Cross Objects <br />RS_BCT_SPL_INB BW: Content Service Parts Logistics - Inbound Monitor <br />RS_BCT_SPL_SDPR BW: Content Logistics - Supplier Delivery Performance Rating<br />RS_BCT_SPL_SFA BW: Content Service Parts Logistics - Service Fill Monitor<br />RS_BCT_SRM Business Content: Supplier Relationship Management <br />RS_BCT_SRM_AA BW: Content SRM for Analytic Composites <br />RS_BCT_SRM_AP BW: Content for SRM Application Platform <br />RS_BCT_SRM_CM BW: Content for SRM Category Management <br />RS_BCT_SRM_CTR BW: Content SRM Contract Managment <br />RS_BCT_SRM_LAC BW: Content SRM Live Auction Cockpit <br />RS_BCT_STRUPAK BW Content Structure Package <br />RS_BCT_TB Business Content for IBU Banking - Transaction Banking <br />RS_BCT_TELCO BW: Business Content Telecommunication <br />RS_BCT_TM BI Content Talent Management <br />RS_BCT_TMS BW: Content Transport Management System (TMS) <br />RS_BCT_TR BW: Content TR (Treasury) <br />RS_BCT_TV BW: Content TV (Travel Management) <br />RS_BCT_UA_MAIN Business Content SEM Costing Solutions <br />RS_BCT_UC Business Warehouse Content for SAP Utilities <br />RS_BCT_UC_AA BW Content: IBU Utilities for Analytic Composites <br />RS_BCT_UC_WA BW: Content for the Waste Disposal Industry <br />RS_BCT_WEB BW: Content WEB (E-Analytics) <br />RS_BCT_WEBREP BW: Content WebReporting <br />RS_BCT_WEB_AA BW: Content WEB (E-Analytics) for Analytic Composites <br />RS_BCT_WEB_SURVEY Content for Web Survey <br />RS_BCT_WFD BW: WFD Content - Workforce Deployment <br />RS_BCT_WFM BW: Content Workforce Management <br />RS_BCT_WRMA BW: Content IBU Retail - Retail Method of Accounting <br />RS_BCT_WTY BW: Content Warranty - English <br />RS_BCT_XA_ABAP xA general ABAP objects <br />RS_BCT_XIEP BW: Content <br />RS_BCT_XSA_ABAP xSA ABAP Objects <br />RS_BCT_XSA_BI xSA BI Objects <br />RS_BEX_REPORT Business Intelligence BEx Report <br />RS_BW_STRUPAK Structure Package BW Technology <br />RS_CATTS_WHM Interface and Test Cases for WHM CATTs <br />RS_CONTENT Business Information Warehouse: Content <br />RS_CONTENT_SUPPORT_TOOLS Support Tools for Content <br />RS_CONT_AKH Package for BI_CONT AKH <br />RS_DME_AA Data mining engines: Association analysis <br />RS_DME_AAP Data Mining: Analytical Application Provider <br />RS_DME_AA_OO Datamining - Association Engine related program objects <br />RS_DME_ABC ABC Classification <br />RS_DME_ABC_OO Datamining : ABC Engine related program objects <br />RS_DME_ABC_WEB ABC Analysis Web Interface <br />RS_DME_BW BW Upload of Datamining Results (ODS, MD and Hierarchy) <br />RS_DME_CL Data mining engines: Clustering <br />RS_DME_CL_OO Datamining - Clustering Related - OO Based <br />RS_DME_DMP Data mining engines: Provider <br />RS_DME_DMP_BAPI Datamining - BAPI & RFC Interfaces for Third Party <br />RS_DME_DMP_CUS Customising for Engine Registration <br />RS_DME_DMP_CUS_UI UI for Customising <br />RS_DME_DMP_OO Datamining Provider - OO Based <br />RS_DME_DMP_RFC Datamining - RFC based Objects - OO Based <br />RS_DME_DT Data mining engines: Decison trees <br />RS_DME_DT_OO Datamining - Decision Tree Related - OO Based <br />RS_DME_ENG_REG Registration of Third Party DataMIning Engine <br />RS_DME_EX Datamining Extractor Functionality <br />RS_DME_IM_AA Data Mining: Associativity Analysis: IBM Intelligent Miner<br />RS_DME_IM_AAP Data Mining: Analytical Appl. Provider on Basis of IBM IM<br />RS_DME_IM_CLUS Data Mining: Clustering using IBM Intelligent Miner <br />RS_DME_IM_DMP Data Mining Provider for Engines of IBM Intelligent Miners<br />RS_DME_IM_DT Data Mining: Decision-Tree-based Classification: IBM IM <br />RS_DME_IM_IM4D Data Mining: Connection of IBM Intelligent Miner for Data<br />RS_DME_IM_METADATA Data Mining: Managing Metadata for IBM IM <br />RS_DME_IM_SCORING Data Mining: Generic Scoring using IBM Intelligent Miner<br />RS_DME_IS Datamining - Intelligent Service - Adapters <br />RS_DME_MSSQL Interface Between MS Analysis Services and Data Mining <br />RS_DME_SC Data Mining Engines: Scoring <br />RS_DME_SC_APPL Scoring: Applications <br />RS_DME_SC_OO Datamining : Scoring Engine related program objects <br />RS_DME_UI Data mining engines: User interfaces <br />RS_DME_UI_OO Datamining UI related - OO Based <br />RS_DTEL_LOCKED BI: Locked Data Elements <br />RS_FRONTEND_INIT BW Front-End Services for Initialization <br />RS_ICBOL_READ Dev for IC BOL read of bex and basis queries <br />RS_KAP_PSR Data Handling Project Status Report <br />RS_MERCK <br />RS_OBJECT_SERVICES BW Object Services (RSOBJS) Open and Save <br />RS_OSP_BI_REPORT Office Suite Program - BI report functionality <br />RS_PERS Personalization Framework <br />RS_PSA_DEL Delete PSA <br />RS_PSA_DEP Dependent Components for PSA + PSA Service <br />RS_SAPWL_BW SAP: Supplement for ST03N Workload Display for BW <br />RS_SOBI_DT SOBI Design Time <br />RS_SOBI_DT_PROXIES Proxies of SOBI Design Time <br />RS_SOBI_DT_RT Templates for Extractors for SOBI Design Time <br />RS_SOBI_DT_TESTS <br />RS_SOBI_DT_TRACE Traceability of Model Transformation for SOBI Design Time<br />RS_SOBI_DT_UI SOBI Design Time Dialog <br />RS_TB Tool Enhancements in Transation Banking <br />RS_TCO_BEX Technical Content: BEX <br />RS_TCO_BEX_3X Technical Content: BEX (Misc Mode) <br />RS_TCO_BEX_ADD Technical Content BEx Enhancements <br />RS_TCO_CTT Technical Content: Currency Translation <br />RS_TCO_EPM Enterprise Procurement Model <br />RS_TCO_FC Technical Content: Demo Content for Features <br />RS_TCO_MAIN Technical Content Main Package for Structuring <br />RS_TCO_MAIN_IM Technical Content: Package for Initial Mode <br />RS_TCO_MAIN_MM Technical Content: Package for Misc Mode <br />RS_TCO_MAIN_OM Technical Content Package for Overwrite Mode <br />RS_TCO_NWDEMO Content für NW Demo <br />RS_TCO_OLAP_IM Technical Content: OLAP (Initial Mode) <br />RS_TCO_OLAP_MM Technical Content: OLAP (Misc Mode) <br />RS_TCO_OLAP_OM Technical Content: OLAP (Overwrite Mode) <br />RS_TCO_PLF_OM Technical Content: Planning (Overwrite Mode) <br />RS_TCO_TT Technical Content: Trace Tool <br />RS_TCO_UOM Technical Content: Quantity Conversion <br />RS_TCO_WHM Technical Content: WHM <br />RS_TCT BW: Technical Content <br />RS_TCT_GENERAL BW Tool Content - General Objects <br />RS_TCT_X Technical Content: Variables Filled with RREX_VARIABLE_EXIT<br />RS_TIME Time Functions <br />RS_T_BCT Content Extensions in Technology System <br />RS_UNIFICATION D&R Services <br />RS_WEB_BIITEMS BW: Netweaver Web-Items <br />RS_WEB_DESIGNTIME BW Web DesignTime and Metadata as of BW Release 4.x <br />RS_WEB_RUNTIME Web Reporting Runtime <br />RS_XCLS_INT </span><span style="font-size: xx-small;"> </span></span></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-738584963855236282013-10-18T18:50:00.002-07:002014-12-06T07:17:54.358-08:00Tables Relations in SAP<div dir="ltr" style="text-align: left;" trbidi="on">
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<p style=" margin: 12px auto 6px auto; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; -x-system-font: none; display: block;"> <a title="View Working With SAP BI 7.0 Data Transfer Process (DTP) on Scribd" href="http://www.scribd.com/doc/174155493/Working-With-SAP-BI-7-0-Data-Transfer-Process-DTP" style="text-decoration: underline;" >Working With SAP BI 7.0 Data Transfer Process (DTP)</a></p><iframe class="scribd_iframe_embed" src="//www.scribd.com/embeds/174155493/content?start_page=1&view_mode=scroll&show_recommendations=true" data-auto-height="false" data-aspect-ratio="undefined" scrolling="no" id="doc_29098" width="100%" height="600" frameborder="0"></iframe>KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-8198489411208704562013-07-03T05:33:00.005-07:002014-12-06T07:17:54.364-08:00Step by Step Guide to Create a Generic Datasource Based on Infoset Query Populated Via External Program<div dir="ltr" style="text-align: left;" trbidi="on">
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<h3 class="Default" style="text-align: left;">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Introduction </span></span></span></h3>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>A Generic datasource is created
when no standard business content datasource is available that meets client’s
reporting requirements. There are three main methods for generic extraction,
namely </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> Table or View </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> Function Module </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> Infoset Query </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>This document is focused on
creation of generic datasource using Infoset Query populated via External
Program. </span></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Comparison -
Infoset Query via External Program vs Function Module based Generic Extraction </span></b><span style="color: #215a8d;"></span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> Function Module based generic
extraction is pretty much rigid in terms of ABAP coding in different sections.
On the other hand, Infoset Query via External Program is much more flexible and
easier to code. </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> </span><span>One needs to understand statements like OPEN CURSOR,
CLOSE CURSOR, FETCH NEXT, RANGES etc to build a function module based generic
extractor. Infoset Query via External program can be created using local
structures, internal tables and key statements </span><span style="color: blue;">*<QUERY_HEAD> and
*<QUERY_BODY> </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Scenario </span></b></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>To demonstrate steps for
creation of generic datasource using Infoset Query via External Program, we
would be combining data from tables A017 (Material Info Record
(Plant-Specific)) and KONP (Conditions (Item)) based on field KNUMH (Condition
Record Number).</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>
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<div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Step By Step
Procedure </span></b><span style="color: #215a8d;"></span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>1. Create a structure
ZPU_A017KONP via SE11 transcation. Include all fields from table A017. Include
fields KBETR KONWA KPEIN KMEIN from table KONP. Activate the structure. </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Goto SE11 transaction. Enter
technical name of the structure ZPU_A017KONP in ‘Data Type’ field. Click
Create.</span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><img alt="" 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" /> </span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Enter description for structure. Include required fields from A017 and KONP table.</span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>In ‘Currency/Quantity fields’ tab, enter the reference table ZPU_A017KONP (Structure name) and reference field KONWA for currency field KBETR. Save and Activate the structure. Ignore warnings (if any).</span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>2. Create external program ZINFO_A017 to populate structure ZPU_A017KONP via SE38 transaction.<br />Goto SE38 transaction. Create program ZINFO_A017. Click ‘Create’.</span></span></span></div>
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" 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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Type the following custom code to populate the structure ZPU_A017KONP. Activate the program.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br /><span style="font-family: "Courier New",Courier,monospace;">data:<br />ZPU_A017KONP type ZPU_A017KONP,<br />it_data type standard table of ZPU_A017KONP.<br />field-symbols: <struc> type ZPU_A017KONP.</span></span></span></span></div>
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<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span><br />TYPES : Begin of fs1,<br />KAPPL type A017-KAPPL,<br />KSCHL type A017-KSCHL,<br />LIFNR type A017-LIFNR,<br />MATNR type A017-MATNR,<br />EKORG type A017-EKORG,<br />WERKS type A017-WERKS,<br />ESOKZ type A017-ESOKZ,<br />DATBI type A017-DATBI,<br />DATAB type A017-DATAB,<br />KNUMH TYPE A017-KNUMH,<br />end of fs1.<br />types : begin of fs2,<br />KBETR TYPE KONP-KBETR,<br />KONWA TYPE KONP-KONWA,<br />* PEINH TYPE KONP-PEINH,<br />KNUMH TYPE A017-KNUMH,<br />KPEIN TYPE KONP-KPEIN,<br />KMEIN TYPE KONP-KMEIN,<br />end of fs2.<br />types : begin of fs3,<br />ESOKZ type A017-ESOKZ,<br />MATNR type A017-MATNR,<br />WERKS type A017-WERKS,<br />EKORG type A017-EKORG,<br />LIFNR type A017-LIFNR,<br />KSCHL type A017-KSCHL,<br />DATBI type A017-DATBI,<br />DATAB type A017-DATAB,<br />KNUMH TYPE A017-KNUMH,<br />KBETR TYPE KONP-KBETR,<br />KONWA TYPE KONP-KONWA,<br />KPEIN TYPE KONP-KPEIN,<br />KMEIN TYPE KONP-KMEIN,<br />end of fs3.<br />DATA : it1 type table of fs1,<br />wa1 like line of it1,<br />it2 type table of fs2,<br />wa2 like line of it2,<br />it3 type table of fs3,<br />wa3 like line of it_data.<br />*-------------------------------------------------------------------*<br />* selection screen statements<br />*-------------------------------------------------------------------*<br />* (define your selection-screen here)<br />* !! the following comment MUST NOT BE CHANGED !!<br />*<QUERY_HEAD><br />*-------------------------------------------------------------------*<br />* read data into IT_DATA</span></span></span></div>
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<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*-------------------------------------------------------------------*<br />* (select your data here into internal table IT_DATA)<br />*------------------------------------------------------------*<br />* output of the data<br />* (this section can be left unchanged)<br />*------------------------------------------------------------*<br />select kappl kschl lifnr matnr ekorg werks esokz datbi datab<br />knumh<br />from A017 into table it1 where kappl = 'M'.<br />select KBETR KONWA KNUMH KPEIN KMEIN from KONP into table it2 for all<br />entries in it1<br />where knumh = it1-knumh.<br />loop at it1 into wa1.<br />clear : wa3, wa2.<br />move-corresponding wa1 to wa3.<br />read table it2 into wa2 with key knumh = wa1-knumh.<br />if sy-subrc eq 0.<br />move-corresponding wa2 to wa3.<br />endif.<br />append wa3 to it_data.<br />endloop.<br />loop at it_data assigning <struc>.<br />move-corresponding <struc> to ZPU_A017KONP.<br />* !! the following comment MUST NOT BE CHANGED !!<br />*<QUERY_BODY><br />endloop.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br />Important Points while writing custom program for Infoset Query.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br />a) *<QUERY_HEAD> and *<QUERY_BODY> are key statements (even though they are commented).<br />b) Make all necessary declarations of structures, work areas, internal tables, field symbols before statement *<QUERY_HEAD>.<br />c) Do all necessary selects and logic for populating internal table between statements *<QUERY_HEAD> and *<QUERY_BODY>.<br />d) The last statement after *<QUERY_BODY> should be endloop (for populating the final structure).<br />e) Create a workarea with the same name as final structure (ZPU_A017KONP in this case).<br />The structure of this model report and the sequence of its parts are regular. The main structure of a model report is given below.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>3. Create Infoset ZINFOSET_KONP in Global Area using SQ02 transaction using structure ZPU_A017KONP and program ZINFO_A017. </span></span></span></div>
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K8br75l0zUTS5dY6e7+BC3nrifnQiAHCTiWP8iI/q91Y+v+k3HXA+fibN8G+QuqGbhmCTpPNwse+Nn9qKh7Dq31Z2CUb92wMoPo6dHW8DPwwAMe6akksRF1C4jbEosbG24/wSU/+zIe+OLQVCSHVDdJViG1npqYNFxr6bgGUuukVrsGd726Ks7fn1bc73D0Qjzwql+BfM5Lw3WTz7ikb0IgTwmE55HSAfGvETJ47r094skxPDWgL55v/gbteAlfu0R5dvjLSJXTPE6vvUWlTsZ0y4hi8aO++ClcvH8vnrA9Ql519TY0ebp+oR1r7de1Ue+szf41FpYuZDRtfAkXX6Mbn0Px1SWfBn7TjQOqXeYbxdJLB69ytpDQD56k60B5H9kYLrv9Me06oDEyrhdKq+PrwBozg6G6LlbDvH4s1RyeuRDGOJRrjXS1r22rT3pfPP8eFGptPOqYg/rboPyw+6qajLVnT835Dbj32ojX6juPU2ErXb/W7j2fvFiPs4fL8kgZZWrxnfO5rvJSteI7tvdLpUXkRbVj6NUNQ/Zdtbbn7JK76K/rcde53YdE26DyZ9XR91AjvmbraQsLfhDnuuHr3r5ure9Eg5/nmCbyd8o/ouga+VnEQ238fWly1d9b8M4kW1K7dtX1HiWKyzxG+tLfvvH9pF3fUWUlQQjkHoH0GFLMYf9vsPXEL4NfM9N5zcl4cONzdMMvwfdu/TQmkoF01wOX4qvDgSdvb8ZLc1U54Gt0wzG+bIaXYMZoMrjUucGW6lv1+FSv2zr3LXzNmOrS29AND0NAqP/p7XfOAR7c7xYfki6WF083Ko2W2Ouheecc+lyjWEbr4F3OrXt452cvmomTN7TR9E831m0YirsWnatdB9YY7X8JmEPXiuGp5JvKXsy4lc/pQ9fMS7cog4nyLM8c50XGPQV9Q7nWTD3Na9vjuvP8ezB1doyH4zpKQ1+DYNpZh62l7aA15tD53zV4cGUDDoyuxAw04Yn9loD9LdiKapxT7BK4sxG4iupZHq8nr52Dl25QsuiaJCPNNsa82rHFteGHXTNNHZ6uB26YiLIW/Xy1PZ2ot9F6Qwe+dm2rLQWebVTgeyRzIlL0zMW5bs7+1Ml46VUrfOG1PwGfLiFPeqwx9f87jb7O38QP/zDG/vvAhp+g7Fn9nP/e0r/p1260jnr7L+GHvxmDVuN+MBQ//Kb6e9bLyLEQyE0C6TOkyFhaqKachn8IE/f/KfIFarPqxrantHKnj9E8TuRxqaeb05w/ocL2sui/ZLjuhzHjDHNay/BWPbU35C8P9pxFvCLGrynbsHPrXo5vjbY7Fv7B6A/Fmc5066Oz1NUJWk6vE+TYj1UJ5rOhS1O1L80tjzGlpHsf6aaiGcwYPpSuJn17Cy9bXslRX7wUnYtK9MwkjjNxrWnXuePvwT0e7uso7L4yHvbERDxORryUbuCQgbHwaxbT4jJM3Nlp/Ag6Zxaw9Rem3/XAL5qAWZUe12QNpk9TQ9CKbT/RZE2biYt3asaYZzuqLnG4ssI8YSNukn5eStdDB17ez9ncRjlmfN7Ud9TXluHinzRr3wNa+3ZfTLGp/x/nuqHvs5Mtj/GTz75lf1cBQcaUrwu/77cP41sXWGNkGHT6Of+9RNpIvp8ef9OG11VJjKejKmfuL55jhWScztd4GPo55cuZEOgtApmPkdJ7arjGgel22hCUjLZPzIPTzzW8FMYJu8e/eT9wq+nNAuhX2TdX44d2lQ+jhG6w/rFXduEABz5xP1G6D8VJIxGZ3gsgPaEiliFqxIYZHHiKlDf6AmUe9MVJPh1/llw8Sm8P5lwu4c2HFckadcYYTNwA7WYSvwGeGvnaU6ocGVrGIf9yf4uuAzXuVv/Ju5ny1hvXGo8HGcnzPZVPV1+T88SM+nw1sKQFB75WiSe20Fiutm7knrpT4v4u1zVZgpJJsQqnkk7eq7OKtO+BcpTsD/N7II5uMa8b+tvCsxSKMBTdr4zBfOMaTWRMY3y/hXGtx+mSme3xN21895B3zd5i6GjnqwP6brb15u/KN7GNvqthp6lyshcCuUegdw0pw9Og/1G+je79oC8f2ni+n13VureBprIWfvY32h+gxx861+U/0HRvUbrTL6xXqNFPpaFh4xcn9ft5mjLimDEjkPkMOqBpgkueNRuM0kdjqasUtJxeJ4TjJx/+DU7+7Mn44cPd+Ko+pp6yuV/WgwaLqID7y9vuP+XxdbL6OZyjTXF6ivRL7M1rjceD4v54usvzAYqw++rHIV6eMb23AE9QzBRP6y0fTRX2+1QazZ6jTq1AN7p3Wn/fWmrqhzEMw/2pS/aVEPe6GYpzKIxx3cN78dKnyyPjG3hMY3y/+SqV6cwYOvp+B/N3JRlWF2RaV2lPCKSHQBqn9oIoXILpn30JDWoZhOf34sHRY3AO/0rhab6nmiPBmoY405Vs/rJx16Ubqj3tFqTtVMu426dfxftTlRmrPk0hzKE4s1v0qU0qy7zsKm59NJZ2GT4IWs5RKbUTMoQaXvk05i8il/4rz8ZYPkJrwvCa6VN9nGdNBfDNK+xx7tVrzT0e2nWUjr5qmBM/LAFP7/3w/9XFmNZzS6zA9C83ooEDxXl7vBkPTqK4qtHGWUj/uduggHTHNGVIzXiJiXvdmJ7Yl57SpvUCj6n7ukjDde/Vp4TSEtGRPFf0I8rYnqdrHNb3fELtSWEhkJ0EetcjRUw4EHnbJRQoSdM+oN+vdz2gljbgOJmZ5lNoNjvnNI6zLueda/7qszw4X7uElwvwCPy15cU74BiBl6IKXUxLMnyPPENnL/oyXqYlCAzdR5+Mi0dHFSXvEQfN/4bkpKgLTx/cylObakqL22Jel9pTmU4eGku3DjGZe+gfOCkWqy+jZCN5oyiQnD0uX50z1PIgaVxu/ZCzFfrFvnwuLXVB8WnGZrB9E938K5c43PXsasr7jVVH66eVkvgurGuNYnXUWLv75KOUY9w++2kjfsQonpa+smSOkaKgcNd28X/34HvFrkTXKU/vTbyBpvWsmCRXdtTp2cs3YtsIChSnOjCCuxdGPDNRpZNLcLZBxvrTq+K3YcRd1REH+rt8NdmlIOJfN+bf/59wkprC8htT379T7fstOUxpqeW4do0wA+s7OKq1D+NimuYsY0+zb7moipIgBLKeQAE9mXMk67UUBYVAXyFgTWMuTOkHQF+BlQP95PF8eCgeiDudnQN9SVpFMwShxI5tTVqQVBQCWUmg1z1SWUlFlBICGSNgLqwamRY2va7hPTCRsY5IQy4CxgLC5Gnnh0FkEwJCIH8JiEcqf8dWeiYEhIAQEAJCQAikmUBoHileY0ltvFBirm96f7z6ksk+xtOF9cukPl48wkzz6286+unXXr6xTWWceL0p98aLdsrmTcDrukrH9evdemqpXrq7JeZKX9x6y7kQCJuAeKTCJiryhIAQEAJCQAgIgT5DoODIWkiweZ8ZbuloXydw78B7+joC6b8QyBoCX33vsqzRRRRJnkBoU3vJqyA1hYAQyCSBqqqqTDYnbQkBIeBBYPPmzR6pkpSLBAb8ZOz/5qLeorMQEALJEHiZliWXTQgIgawgIPffrBiGlJUQj1TKCEWAEMgdAu+99x76DRiID95XmDtKi6ZCIM8I/PlLh8F/i8fkWb/6and6+RUxfRW79FsICAEhIASEgBDIBwJZ55H6656t+cBV+pAjBI4ZOyNHNBU1hYAQyDcCf/vrIfTrPwD96dOvH/k1CgroX0G+dTPv+5N1hhQTv+KKK/IevHSw9wnceeedva+EaCAEhECfJfDOn97AB44uROExH8QHBh5NRlX/PssilzuesCH1/6Z8LKq//71DAtajoEiCEEiAwJNPNCVQ2ix69jnVCdeRCkJACGQPgdf/sB+Djz0OQz8C8kr1t71SvaGh1709ET1i2QHpkpuIbl5l33ztbVw99xNeWbhtw2/x4eFDPPO8EgMbUgrGrPuHRclRebFARlWQBCEgBGwCbERderb5B33/k79FzYXz7Tz3QeNP10XKUr3yz8zB0QPedxeTcyEgBHKAwDt/+j9Dy8EfPA7vD/qgcRzvR1U6f0Ad+SNw6dpfYsPLBzH3pGG+exvvvt8A22+3T70O0iXXq614aboBdeTI7z2LFxScaqQHMajY/glkSHFBLwNKacB5W15aAGVQcboYVYqO7DNBIFZcwZEjmVtv9qn7vm909bNf+nZSXf7gB18y6r3x9p9863O5nTvNIn/7x/tkSPkWx/899xD+7d/+DT958hX/gknkdv0SGPNQpOIV3wDWjo+cy5EQEAKxCbz3t8P4x9//hn/961/gr6oj1vrYXj+m+EcU/3B68omNSMSYSvTvPyEjKnbXonLSJTeR/ikjyjag3jwVBeQN1DdapBxs+IEmCQrIYxXEmIr71J7biHpk7mvgj76xETXrZGqdNr5x8Uc3qvSyciwE0kFg7Vrz+tNlcxrHQc1f8bCenJZjNqKUDvyH3f/VX6WlnWwSuvUnZEQ9D+zlLx7rg/8EFuzOJi1FFyGQvQSOvP++YUDxf0//6hE89YT5XcVG0xt//Zvjo3phGlOJhwKo+vH28TxRnJ/Mli65iejCU3mGEUUGFCwjStksal+wgCQyXoqc4O+1WNN/ertxfsvqRWMfsxG15dKDhgEVu5TkCIH0EVAPKCxYwH8F5BWxDCtOf5YMKTaoVJmwtVBG1IGDb4UtOnvlvQF8/yng5/RFU6ppuZY8UgXNwFLySpVSmbP+A/g2lTGejXSfUz0eLhXyz7Lsco0AO7bu3EcPn3yWDj5pebpYBuXde62zXViyf23pYnvGrPJKlmrDs12uG0sO55GBWECGotqULHUueyGQKoErZhYacVJrmw8D7/0FGDjIU2QynilPQe7EDx/B/f8O3G+lx9tzsQ0b+uHSOFN7SELuygc+jqvjyXXr73PO3ih9Y08UG0/ujdN4hkPP4bp+MVO+HinDq3TDDXY7bCxxA+dvGG6n8YHbiOIyMrXnQCQnaSbAXic2lNiA0o2oNDcLZUS99JI5LZfu9rJGPhkcvyYDJ2rxCLJYriDjp5ny423s0dp9kfmrby/tz6NzeyMZmGnmrSUjarcZSmIYOjjdZURR0QVksF10o1n+CO13k8FjL6SiyWJ9/dr1k7OAZLLxxL9So/S1FZcDIZAYgf/5/bN4/rltUZWat21Gc/N9jvS2X22E+nDG3/7pewt31E3k5Ec/+hEVjyzDEO88EdlsH3h9EpGRTFndG+U2opQ+Sq5hTJm/yQN5pQaoivH2urHEjaqYKT2dZXCebEKgtwiky+vk1Z8+a0QRjC5l2HiAObXYI9EjaTN5tNj44a30c2SA0RfX1i9HjLMqdiPxRvvx5OXqojJ7X6Q6FWay/r9jZvd405ul59uyKNGv3XhyXiIDcQbJZ331X6x6W3IsBBIhcMqpn8LBN/ZjXmWhXW0BeabYKzVzepWdNnPml+zjV948jF3Ppm96j2MqCwquIY8N38+P4JprrqE4S7N5vsebjpzk/wLcjiA2G5544gmcc845dh/TeXB4y8WGrWJ7n+jH0d+GR9ISbTuuIWVM21EMFHCDQzYbULzprjEGXDprMLq2HHKUlRMhkCkC7niodcsuSEvTbETNnTsXfc4TZdEs/SgdmF8BUXx/Tx6gU6NSvROuIk/SVVrWqWyoaOfqkOWxl+v3r9K0IRkyXht7ms57KpITuQVF0tSRZ7uW3Fhy1t5oTlUqfVfSeW0MXVQ7shcCQQicfsZ0rG95HouqPmAUt42oGFN7QWSmWsY2MjR7KRwjypo60+QqXTNlTB09+UHYxpRlRBXOetBhzyidguzjGlIqkHzLDTfYFlwEcISEbURNuobm+m4I0raUEQKhE0iX4eRWlH85bdiwwTCmhg93TnW7yyZybv4S3RyzirlMQhZMI5IBcSYZLbYHieKHVlFaLWm+mzxShrFDhk+8zTPOyKPeTJrOu7mVZNO+1EOoERpH8VlHyKOl4pw8itlJnu1Srq8c6t/T9KVrbNTfgkaafbzWWx+rlOyEQGACZ33mfNzZ/BgKaIVzwxPVa0ZUZFbJdJREPFBuT1LgzmkFI8aYltgLh2xMGU/nUduFH3EaUYaO/LfOS/UFcPz1C6K/Mqb0sp6eKDKiSnfeoheTYyGQUQLskdI/6Wr8XyM+Y7ih2Zh67bXXQm2GjalYH7VEQqgNJiOMjIp7LyIP0HKacuP6NP32e/IuFdBnPMU2GcYOleHZOZ4O463rdxRXZR4a/1d9lgLWf2klsGGiZGll1GHpx8mIIsPtItpHbSSfqkOfvuMyql13+Zjt+smJo5+7DTkXAokS4Kf21MbxUb21PfHEdvzoR7eQ44T+Jvk/e4vENnHMFHuPEt3cRpRDfKLCQirvFS/FcZCGERWwDV+PFAeMq4BzNqZwgwnWz4jiab3bVj+BN3+7Dx/+BP00lU0IZJBApjxS3CXTmOKnVkzP1EllH065p8bTOnGksJGVDRvHCe0lRcbwzL+1/Zy8QudRUDYHkT9N+UtpP4aMK54OO5OOr1AFaT+DvEebqW7BQ2YiT5V5eZuMXDLKLqKvk5NpH7VRGht1th5U7gr6/J4NOI/yMdv1k0MW4c9f1Nog0ezViqlvlJKSIATiEwj61F58ScmXYG87fzhOytwixpTyUAHXWHmRWal4LXoZUdu3bydjbWq8qlmf72tIKe2Vl6mLp+20jcEYMVHiidKoyGFvEXDHR2VCD6cxFU6LKsD0+CEfgntxzt78perVOyPomgwmfTN+zVkJUfmushzczT/+HBsZNPYUmsogo+ihEZSuzl37qHa0/ChZlOfZLqX7yWEDzJg61GTLoRBIlQA/tcfB5oPoVTH6pv7W9SBzPT/9x+yBMuOgTSNIxTYFN55i6chy2YjiTe1jlQ0rnRfW5BXL7XWkNMHcP8+NpvV4XSmu67fFNaSUV4oNJsOgor1qlNN4sw0tyxvl16DkCYF0EGBPVG+9hFg3ptLRt74uU62ezh4r2YRAvhHwe2pvwqeqwU/oZX6LGFFkStjNc4yUMqrsxAQPVj7wWzKezDX32PPFWzLThEbFBP7zWwfKPcuWgFijaFxDikspY4qPDYPKMqD4nDf1lB5P6ckmBHqLQCaXPnD3URlTycRL8ese7qf35p1+QrApO/V6GLcO+Xru5yXK1z5Lv/oWAa+n9phAOpc4iE24wIiROnJETe0Bt9xyi1Wc31zC+T/Spv5iS/LK4fWc2AuljCguox971QkrzeGVYqG8wnmsTfNG+RlhXD2QIcUF2ZjiuKerl5zDp47Ny4CS+CgHIjnpAwTYmPooTT/x9i9zF/h/NqbUy0qVSz9W5edfN3+h8q/V44LZXrFE5UU6u95jbfo0Y6wyki4EsoGA/tQer1zee9sRe80oU4d458E0Za+Pms0KViP8UmwQKWOKpaun9tx6qe+UeFN6LINto8CGFFdg48jLaOI8fRMjSqchx0IgGIFEXkQaTKJZ6qNnXJSWFxYnokM6y4qxlE66IjuTBD57zgX0ipj+1OT7oTWbyN+/26AISwm33KlTp4YlGon0jxtlY8pwDNFrXwo+8glPPXQDKp43igUkZEhxBTGSmIJsQkAICAEhIATyhwAbF+nY0iU3VV2VQZWqHK6fsCEVRqPxZPRW0HA8vSRfCAgBISAEhIAQEAI6gawzpI4ZO0PXT46FgBBIA4E/f6k3ngRKQ0dEpBAQAkKglwn06+X2pXkhIASEgBAQAkJACOQsATGkcnboRHEhIASEgBAQAkKgtwmIIdXbIyDtCwEhIASEgBAQAjlLYMCXzx6Zs8qL4kJACCRG4M49iZWX0kJACKSPwKSS4zBy5Idwyikn0H4EBg0ahP79efkD2XKJwIAw13PIpY6LrkKgLxKYO3duX+y29FkIZCWBhoYGDBw4EMccc4yxZyPKveZSViouSjkIDOjN12o4NJETISAE0k7gz3/+czht7FuD6ROWoi1K2nxsPLQGFVHprgSj/h4sC1LWVTXYaTcapo1HZ91hrIqrjCYxqF5hl9NUMA51+fqxu5yc5zSByZMn40Mf+hBGjBhh7Nmo6tdPIm5ybVAHTJo0Kdd0Fn2FgBBIkkC4LweNNpq6b5+KidPWoP3xxShJUsderVa8GNsOBdAgaLkAouIWyWRbcZWRAmESGDlyJIYNG4bi4mJjX1hYKFN7YQLOkKwBJ598coaakmaEgBDobQLhGlLRvSmZMRvl1+5BN2WZhlQLagdXodEoGm14RSQELGd4ZyKesJom3eOkySifjxpbOHunLgdmj0PdteuM1PLlu7FtzG0oqtbOF5HGuveHj6la9filqFtvCrPb08txVutiWxag+kn6WF67OYOBjbvGYsXlezAO69DYZpXx7I9HvQm6907rp90W6eCnr6m+/J9lBD7ykY8YBtTo0aMpRmqkxEhl2fgEVUd8iEFJSTkhIATiEujeuglt5WNtb1Trkip0kNHSc+gweuht6nPIW8VGlnvTy7Uv78CcJS3uInTOBsYmVO8iWSxv183oqF6MVqukLqOnDmSs6CKeQV3nLLserh2Pokf189tsOXottC1FU5nSfz4a6730J72qyVBinegT0b8Sq0jHct3YaSPDjaYbe4wpzVj98ainKeXop5tpIH01YXIoBIRAygTEkEoZoQgQAn2VwDrMGVyIIu0zcdNsbVqvBc3r52MZe3p4q5iFmrZNaNlnnkb+53KTUT3DLFeyqA4167d4GDZkYBzajoXFVs3iMeTdUZu7ratRX67yeD8Z9VdVmgnFM1Bdrp+znA50RenFxTX9S8eivM30tpmC9P8j9UsWbUfPaqstvYhxPB8z7Zgtv/5EVbQS3P10Mw2qbyz5ki4EhECiBMSQSpSYlBcCQsAiwNNTlneoaT6lkXFytxYbtW8vmSf6Vooyh3Gj55HHaIIyyngqMGKY6KX4uHWJXs7KjWqrBKXj3TXTdc4epNlosvWfigZPo8y7fc/+eBel6btEmMYSIulCQAiESUAMqTBpiiwh0FcJVFCA+XKatZoQmWqDw2PEYLrQ6Zhu02FpRplhnGmeJ7sYxwYVovkLlvFmTJtZmVFtdaNrt10x/QdGQLgyKikW63KvKUC3Gj79cRdV51H99GOqKsleCAiBdBIQQyqddEW2EOhDBEoW3U3TaTTdZ8c3VWLmvHVYcbsVFdW6BY3ls1GppuZsNu5yFLjtFUtleGP0qTEWoDxXbhm3oS6m0WY3HM4BB5p76RtPum9/YlV29zMW01j1JV0ICIGwCQyILfBt3PP9B7HqVSoxohybv30aRsUu7JuzY/2PcdVzWpEzKtA+L+rbVCsQ+/DAYw+h6mdvOQukqJ8ubMf6bcC86ZiiJwY+DoOZvwynfv5l46udeP1084+vs5TIXgIlWHj3zTTFVYXpFKC9jWKjKlZvRvNgCuy+lrVmr5M29ad1xFmOpgh3rbED1u1i5PVZu5yWVyCvlLHxk3nlz6Czi87o66Ri9W500dpRRltGnl0zvQfkjdv4aCHptdRqR+unEY+1lGLJzKf2HIr49aeC47i86zlZaW05hMuJEBACmSJQcIQ278YSv8l6ynlxGyau5W+6yDb2ixdjw7lDIgmBjjR9YpSfteDr+N4nY2TGTd6H71zZii0oxco7stGQ8tJPY5KUMZlIfa1sDJap8Y8hVJJDJXDnnXdi7pe+EqpMESYEhEDiBDbc91/4y1/+Yix7cMopp8jyB4kjzJoaPh6pcHQ88LryHg1F7fUX4bITkpN74LFfmN4xn+pb1m7D55I0gnasZyMqG7YhuOzbX8dlLlW89fMu66oaymm6+YeipAgRAkJACAgBIZBhAgkbUpGpHdMwOunn+rSd01hyTum9hVXf/TFWwVkGr7+Aud9tg/4uVS+P1f7XYhlkuqekC798kbxJLq+UUw8i7JpadOZ34aor2YOmPFOa/KS8PkAizIDo9vY7pkZ1/Sbh5VjTrx5c4WafwMWWCn94eCXd3isHowWlaFmrrgnn9eIcq+ix1LsUpKyjXTL0/a5nXbYcCwEhIASEgBBgAikEm5uGkSP2CZz2EO55PRhcvolNdBlRXHPPzx7ExO+/gAOeYobiJIdXi7wyl5djrFV27+tva7V4Okw39Kys51ox8cpt2KGVzMxh6swC6cmGiwdXJDg+3m0lwh9gY8Y9tctyt6z9MeY+po+Vao0Y2UYUpY0oxVRjvBMZy0TKau2SoZ/K9awk9YW9vnZUrOO+wEH6KASEgBBI2CPlRKa8NrrX5S20vPg2LqMYqCnzvo7Nw1VwuNOzwJ6oOhU0rnl6bA/Bq22oe+wkO5Zq9PCh1DR7pZRHRpN3wmnYcMdpTtXoLDIdFtGTFmKxYqG68OPHJmGKpedKqJuoXjZKZAgJEfl2X6lfiplXA8zRW7+38XJUBfJoPWrFpOmeN9tD5d9WlDgrIRn+7IlShknEy6j4s8G8EzvO9YhH064HpU/QseTyiZRV8s194mPjrN93zngFb9mEgBAQAkIgJY8UMGtB5CY46pOltldoz2tengYn7h0/V1M3dPPSnggcde5FWHmGWda40VrVRp37edSO0GWY3p2J5HHiz3de1PP4eB9+aT0pOPaLZDDZ2cWY/0U2yqwbuZ0e68CMQ2q/4+to1/SMVTpeeirM4sk28zV9rScj3Z6/IOPjbitx/mTQvKAeMijF1+2HCxT/iNHibmvWF9xPiCYylomUdbac/rFxtidnQkAICAEhkPsEUvBIDUWxPsV2wnEYQzz0WKfYeMiT8pqVO2IoRrsKRrwfb+FlmiacYrRjBVZ7xNtwdZ4qcjxx9/o72GvJNaYKf+ZqxDjV5Xvlh52WCrNEdNHirBKp5ls2Qf4U6xVrjNlYbj83VmMuRlwskbFEsuPuajeh6zlWXyRdCAgBISAE8p1ACjFSqaB5G/t4fSrehh8XtT7VqBNMjxFP5e1zx1t9cjoM7xB7iCgo2bnRtN96690M9LRgMKPOKSH3z6KNKA7sbr+jArPC6FxQ/npbHmOsZ8c9TmQsEykbt+H8KzBw4EC8/8/3jE/+9U56JASyn4D6++O/Rdnyg0AKHqlUAAxBMU/TsTH12jtGUPkoTZy+ZILh9bLje4BIrA1VMG7q042a9hNaz+3DDprSmkLGGAegszHlfkLMqJCv/73+MlosI9XBKpX+JsNfb89jjPXsuMcJjWUfHfe4EKWAEBACQkAIpINAL3mkhuCk4VZ3Xn0L+1090x+1N57Qs6ZZuBhP0/nFQ9mitDpbXkjgDaK2gBw90DwyY07QFj3VpsfGDtfSg3RTYxmYP3zGmKdnrwz+dCe09uOOZSJlg/RdyggBISAEhIAQ8CHQS4YUxT2dp5YsoOk4bakDDoyOPOmlgsRVgLLZE46HUkHm5l5bTPMM8kYZxYrxOStoHbTcwXfsYHTz0XijntauGZfFFc24KbMl/p+nyqz2tPKR/MwcxdbP1b7lveHULY+qJSSoD3er4H4yRgM8DOCUmgx/GuPT1NSrNuXKPI2nCs2HBSLj4mzReZbIWCZS1tmKnAkBISAEhIAQSJRAL03tkZq0ZEH9F7vM9+bRUgdVV7reMEqP7uuvkTGeGnveevdfzF7Sk2DaO/ymzKO4IDKieMVyMxhdr0jLJ1weeTrMjMvi5RXMG/wqe0FOvU7vHXvrNylaoRNOQuUIMpp4es+La3SNQCnJ8Oep15VnkBHFT0/y2l36+xa5VRrjoK/0SWQsEykbqPNSSAgIASEgBIRADAK95pFifYynt65XnqmIhkZwtGYQmTnWY/1RAeZmLscDtUe9HqYY37vjYteyCVSe1ym6w/W6GuOmH9Eh2jOl5/XCcWD9mJO7z7zmFq3pZS37AI4jS7gLyfAnrxStgRX9UIAZ65bYi6sTGEt6g23gcU+Yg1QQAkJACAgBIRAh4PPS4kghORICQiA/CNx7772oqqoyOtNvQApPDe1bg+kT9mDZoTWo0NHEStfLyLEQ6MME+Kk93jZv3oy33npLXlqcB9dCr3qk8oCfdEEICAEhIASEgBDowwTEkOrDgy9dFwJpJ9C6GJF38S1Gq6PBFtQOLrTytTz2ak1bjNppnKel23W1eka5qWjgB3M962lldVlcNuY511mMhtunWrpZ8lX7vn1ShWQvBIRAXyEghlRfGWnppxDIOAEySKqBjfRePn43X/vyDsxZ0mJr0bqkCh3Ld3vmoW0dUMf1XFOHVFuv11MHNOrPqbjqOco2AXOmrUG3rYHfwTrUbZqNdta9aRzqJiiDzr9PfhIlTwgIgfwkIIZUfo6r9EoIZAmBDnRZy7iVLNqOntWVll4taF4/GdUzSozzkkV1qFm/RfNYzcdMR/CV6g7Xm49li8x6qLga9eUqj/d6PXfZWahp24SWgMvK1dQthtGK0UakH0Dk2NknXQ85FgJCoK8QEEOqr4y09FMIZJxAJVbtmo2mCWr6zjVFhmfI06PyqtCoGSgxVd23Fx3lY00DJ2YhK4PLOsqUosxhdDkyXSeTUaaWQaPWSsc/g07jHdzx+uQSI6dCQAjkPQExpPJ+iKWDQiANBIrHYFwsw0c3dIoXY5s1tWdMkV2uT63Nt6f9eOqv59B2LCyOoyu327Yn2PScoaMurwud+jSgnuV73I2u3Zph5dsnX0GSKQSEQB4SEEMqDwdVuiQE0k+gEjPnkUdpZSTmCWTeNFy+FJg9w/QYcVB2zJgkrr8OK263IpZ8y+q9cde7DXUxjSN32S1oLJ+NSjbWXIZg99ZNcIrR+tZKbcCqF1hPXWc5FgJCIJ8JDCj78sp87p/0TQgIAY3Atz6f4HsWtbruw4rVh7FxCU/NRXLKKXh8mx2/tAYbHy3ExMFkXBkbe6CsuCM6r1i9Gc2Dx6PoWs6cjPpdawJN2TnqzbuZYqScE3hGU9Z/jrIUPxVpvxJLltdjIk0tUrw6ypffjBrjFeeq9mQ6r6e+8Zpbmm4V/n1StWUvBIIQuOm+JzHgmOMw8NjnjX2/AR8ACsS/EYRdNpWRBTmzaTREFyGQZgKhLciZZj0Di0/LAqC8/EE9ynYFmGoMrKgUFAImAVmQM/+uhAHPd/0x/3olPRICQiBPCdD04bTx2nQee4u2O1dXz9OeS7fyj8Arbx7C34/qwfuD3sab/yhEYeFf0a9///zraJ73aMCe1/6e512U7gkBIZA/BEqw8PHDWJjWDtGTeYfUMg1pbUiE93ECb7z7L/xz4D+BD/4D7+LvGFg4AP36iSGVa5fFgFxTWPQVAkKg9wnwauXxNn4STzYhIASEQL4TEEMq30dY+icE0kBAjKQ0QBWRQkAI5CSBmIbUU/d9L9QOffZL33HIy3X5js74nEg/feD4ZKX7evFpOtSsbOvHmWeeGWr/RJgQEAJCoK8TiGlIMZhb/n1GKHyu+cFWTzm5Lp87NehPbfjjH/+IY8bO9OwjJ0o/Y6LxzEj39eLZaBoSs7EfTdvfTUNPRaQQEAJCoO8SkAUr+u7YS8+FgBAQAkJACAiBFAn4eqRSlB2oetGoC+xyPQceto/5wC/PUTDBE12uXtXdvp6XrmPWRbWr66XSUmlXl6fkhCFXyYq192pXL5sJHfT25FgICAEhIASEQLoIBDKk4t0YWblUbo5Hjhwx+ldQUBAl58jzz5t5o06PyjMyAv7n7sP27dtxzjnn4IknnjAkTJ06NW2GWzwVlW6KoTqPVy9Wvqqv2HG5J/78Z6N40aipxl61ZZyE+B+3feTI730lFhScmtJY+gqXTCEgBISAEBACGSQQyJBifZSx46UbG0Apb28WGDdgz5vs6afjyNq1KNC8N8m0p4wnrssGFH9e/J2p+xVXrLVF3nnnAvs4nQfK4AnTqDEMGcv4BHFT2zmWscoMeGODKsx2VTv2/t1ngGMnA7zXtmcebtfO5FAICAEhIASEQG4TCGxIcTfZ8FDbDvLgqO0GOrhVm6JT6d90TdWp9Oj9/5hJb54abUzt3GnmLViQsjHFXqds2NJhQHG/bCNKM6Dc/WUvHG9sUKXVmFJGlNobrabjv4NoqF6IOusycbQwaR7am2YFen+bo57Xyf4tmD7lD1h24MoMrKL9AmpHPYSyHfVYONpLGU4z+935jYexKuqy1vJO0vSmPgBnxxIo6UJACAgBIZAEgYQMKSVfeXGut7wcKl3ffzdZLxUbU/TWmoKPRGKnDLncFslM1jPF3hc2NHTPk66vOmZvVDo9NaxDPPnx8pWuWb2P4ZEKX+dhWNj0sLnSdUaNnfB7Ykvc/ixw6Sg0PX4QC+cNs5OTOhg9C9sOJFVTKgkBISAEhEAAAik/tffS23+H+7PygV0BmnYWKfgIG0/mh3PYmHJvT+NkwPJMKa+Ou0y887lzT8batVfglPFl+Lf6y4zifPzSSxviVU17PvfJ6xOkYa5nxET5eKN0OeyZMr1SLoNVL5TKsfJE8d5j0/vpkR1eEhtX1XegtprZ3oFWlsxpGutac7bTbHP7HdoYWOU1bZqvi4yRo55WJrVD8ib95wGULfgUxj36PLodwthTZbVfvRmdQfKMvnI/qO6U9Y4aKZ307MLP6c31r8QV8g46Hv0vbLjvv/Dz3e/EKX0Av6ZyXNb8BJFPIgPrEqd5yRYCQkAIJEEgZUMqiTY9q7y+6xLwh7f/O2juDc8UGU5qO+sI3TrYM8XGFCXyzTjZ7ZMfZwkwDCo+Pvnkk3HKVO+bfrJtJFPvty/fDfV5bNeiZERkR504HqnbNvyWhvKI8UllHAN1dieZTzQF1mNMy7FB8TSqd/A5fXbMQ8dlymCivMuAjZxOn/brD2DOdS9oTbSiY0yDWe+eCjT+5xaXoaMVTfZw//NowlmoHH0aZpatx2rNyGu97kZ0XG+1/w2gUZvO9MszVTkNq6ivGd96/hcH3h2Nz3zpKzhv/HE+zbMRtQP47Fcwl8ry57xPvINfPbqL3kEmmxAQAkIgewkkNbWXju6cMOEBT7E33EBeKvqw2fN0QRnYmGLP1Fl4ybN8ticGmbY7+GczIHvDT28PrzuuqdY7SfLB8KRHS9I9Uq6Ac1WYPZdXXTJBnaZxX4GZdhwRGRQHTou0NXoExuEPkXMcQNd+oGI0UDKvHj1aDqVimZpqO+lElO/8g2FIlTjKpHbS/fjTwBdqjbiukooKzGl9gWKgWN8X0Hw/tX/AmuqbWoX6Sa2WV8ovLzV9AtVmj9CTwKghL2LXfrPGKDKIzvwYGUdbXjQMoV/d9w4mzDof44pMg8mcbWQD62yM5Co97+IdjMbHP2bW5/+PHf8JjPrtb/GHngk4tohTvOrqbcCU979PYsNT+7kCbVobZoL8LwSEgBAIlUDWGFLcK/ZI6QbVd8mOYENqrUeX2RDIpS2W1yWIYRW0n7zEwTlecWsuIyqovGTL8ZOX8bar537CKHL1XLMk8wmTRbz2W2mKbs79qhQZWsYhe21epaDyC1BnnJeh3jfgW9UPa38QLY92om3nQhR9NyKz9abTULH/VXRQkqkn5w1DaRlMQ8ovLyImvUfvvogDo88nTxJ5ndiQ2bUL4z42AWfO+iTe2fIOPm4ZTK88vQPvfILKsXeKy5HH6bwvsKH0MYw69kXyQB1nnhvajsKZXxpl663XfXf3I/j50wcw9ywq42iDDKun2KD6imGg6eVsQXIgBISAEAiRQFYZUvGMKGNqjzrfQd6oBbTP5I03DOZH3tFiVB6chwLuhGtjb1SoniiX/Eyc8gMByWypLm8RrE2OM7oRuIem726iGlaAul3XCM6eZZ5yvNQ3t6AyrCf/7EZiHBjTevSk4YHIk4Zs8DVvpycFp7o9ZwfR1UlyKugT5VXT8mI0FX4yeZPU1N1xx+HYd98xvHnHOho6gFf2Uzk2tnj72CiMekp5nI7DuC98BePYuKIYKXM7zvJi8RnXPQ6jZpl1DW/VfZRGhpTh0bJqmDtqm12J5MU6djwZbY48ORECQkAIhEsgsCG1YIHTBzQ8XD3s+CgW++OmBwxPlGriCj4grwpP6eWqEaX6AjKgeLvrOTvFcXDuhOSm89io5OUM9LWyHIK1EzWtdwOlpcsYfXrBj7QWETUVazw44CiRoRPDe0NTZFP19qzpvJfJcPrPE8NbMkFvIsAxT+uN+0a9Y7mGCm16b+alN2LF+ipU8PTi9s3Gkg81hlyKp4qZF6DhTBUxpu+gGT7H4linpUXG1dnk1bKWaOApwy2PAMaUICv5DnZt+S/ssvUlg40NJsfGHqp3qZ4qpxtjjoJyIgSEgBAIhUBgQ8q9SOUNoTQfEfLRYWaMlJrOMw0DWq6AvRtWwHmYRtTwT5yJ1377a3zy4zAW5Txl/KX4n+3JGTGRXqR2lC6jRtfKaQ7rOeEef8YVw/YrV1ybV364GsSQRh6ntdfXYaJ6UGFSBWomdaLzZSo/9UpsbL2A8pTnsIICzyPeoRgSQ0rmab1RmNnkEjf1U6i57CE0LDgNC29qQBetmWVM+xl6R8pW+OTZpUbTAq3cz97aio7FcWQMRbZ38S5Fkhu2FHuiXhllTNXZ+UUT8PHRL+IVrmLESMWId3IbU1TvvC9NMMWw3Cd34USePrQFy4EQEAJCIDwCgQwprxv8rXQjSmaZAz/VdSPKXY4NgDCn89iI4k2tifU/u+2AGSM9Lf+RNyqWJyqM9kzj0/RKsTxe4oA33Xg6aKRQ7BntvcbVyk5pV2AZvmo1fF753m04cQPx8hNWwmvNJI80I4jcdAxaTVxpN1VxkzXlZ6dYB2457nN3+YTPeT2siB6R6npwvLZmllFALx8rT19HijxZvfoMHE3Djd6B3+2egJFGjNQBHDh2NM5jI6mIp/l24NcjOUhd9d6czjuWfuxQKLurLhlIu/R4KqsOG05e6Uqk7IWAEBACIRMIZEjFavNdK2A4Vn7Q9O9+1wxOvuGG6Jv7ndZNOSwjqjdXN/eKiQrKKGg5ZUxxefU6GGU8cdoN/B9t6TKiWO41P3gDyoOpjG13eyr4Pla+qaX8n28ERp41Ba/c9who9Qva2MOkPEUcWD7FXEfK7rRzWs5Zl/PONr1MKlD9Pg4yPxufeYXWrLrvRUuK3oYtWA6EgBAQAqERSNqQ+ibdMMPa2IDizX2z5TQ2oHjzyjNzgv8fhozgrTlLZrJt1ZZ6QbGuicrT08I+vuXfjyeR9G5E62lBr9XkOc0vP2ydRF7IBIzpM0umfsxJ+rl+bBRng4m8TlZV584vj0vGyrcC1ZWws2gdqrPUieyFgBAQAuklkLQhFZZafjd2v7yw2s9nOb3Jj42pW/49trEdLz+fx0X6JgSEgBAQAvlDoF/+dEV6IgSEgBAQAkJACAiBzBLw9Uhd84OtadUm1+UznD/+8Y9xGUk/4yIKVCDdHAMpEUKh3uzHmWd6T6qF0K2URETWjvIWw6+MkU0ICAEhkI0ECv57xx/47SuyCQEh0AcI/OvlbaiqqjJ62m/AwD7QY+miEMguAu//8z1Doc2bN+MXz72MoccPx4hRY2g/DAMLj0G/fv2zS2HRJi4BmdqLi0gKCAEhIASEgBAQAkLAm4AYUt5cJFUICAEhIASEgBAQAnEJDBg7/ANxC0kBISAE8oNAR2+ubJ4fCKUXQiA0Ascf2x8fHToAJx1/FD467AMoLPwA+vWXqb3QAGdI0IDTSz+SoaakGSEgBHqbQMfTva2BtC8EhIAiMPLDgzHyhCKc8rEhGDnywxg0aBD6iyGl8OTMfsDzXfGfOsuZ3oiiQkAICAEhIARyhMArbx7C34/qwfuD3sab/ygkj9RfxSOVI2Onqzmg7KNH6+dyLASEQB4T6MjjvknXhECuETj+g0dh+LFHYfSHPoATjz8axxxztHikcm0QSV8JNs/BQROVhYAQEAJCQAgIgewgIIZUdoyDaCEEhIAQEAJCQAjkIAExpHJw0ERlIZAtBLpvn4qiwYX2p7Y1DZrtW4PpgxcjHaLToK2IFAJCoI8REEOqjw24dFcIhEWgdUkhJm6ajfZDh9FjfDYD1YUI3ZgqXoxth9agIizFRY4QEAJCIEQCYkiFCFNECYE+Q4C8RCvWz8fGxxejxO50JVY1zUdj/Rp0c5rbk+Q+RwtqbW+W5nHictMWo3Yae7ooPWg9brN1se0dM+pymmxCQAgIgTQSEEMqjXBFtBDIWwJde9A2b1a0l6hiFmraNqFlX/yety6pQsfy3YY3q315B+YsaYlUalsH1LGnK9oTFbseGWbVwEbLQxYlMyJdjoSAEBACoREQQyo0lCJICPQdAt17Yy2kUIqy8iAcWtC8fjKqZ5j+rJJFdahZv0WLg5qPmZ5zefHqdaDLMuJKFm1Hz+rKIMpIGSEgBIRA0gTEkEoanVQUAn2XQMmYcTE634XOthhZUcnPoG6CClSvQiMiRlBUUUdCrHo0tbhrNppsmVPREMAz5hAtJ0JACAiBBAmIIZUgMCkuBIQAESgdi3Ldg9S6xjRa9u1FR/lsVBYHoUQxVnagOk/jbcfCVOsZgelW8HvTONRdbsVrBVFHyggBISAEkiAghlQS0KSKEOjzBMhgWctxTdMsQ6ViDDrZEzRhKcbVWQHoxWMwTvMydW/dhIizqhIz563DituNsHQzSFzJ8oXrU48DzQPJ8G1AMoWAEBACCREYkFBpKSwEhIAQsAhwDFI7pmLi4KVWCnmYmoA5tAQCB5FvW1SJJcvrMZEMrDoqUb78ZtRgj82vYvVmNA8ej6JrOWky6net0Z4AtItFHcSsV7EGGx+lJRl0fQ7pTxVGiZIEISAEhEDKBAp6enqOpCxFBAgBIZATBJqamlBVVWXo2m/AwJzQWZQUAvlE4P1/vmd0Z/PmzTh48CBGjBiBsrIynHjiifSuvWPkXXs5ONgytZeDgyYqCwEhIASEgBAQAtlBQAyp7BgH0UIICAEhIASEgBDIQQIJGVLdDdNRVFRkf0J/FUQOAswblVtr7XE1xlgf3O4GTC+q1db4id3r1tqixF8REld+K2qLpqPBikuO3Xo4OXydT9cbc7OZ3mCu3B1Oc+FJ0Tnqx+G1YEvS368X69guLAdCQAgIgTwmENiQ4hvkxKZqtPf0gOKq6LORokqTuGnmMcyc7RobCnNoRWh7bNtR3zHHaUz0Zudam4GacWhqyYAlRQbIArrO1y40F4o0fjw42PRg47g6TMxWY0qNU8lCbOtZFb3yuMpPcW++W0+9Y897n2ITUl0ICAEhkBMEghlSdHNZ0ViDjdsWak/VVGDVxho0rrB+nbt/AbvPyZ9Ra3uzNO8Gl5tei9rp7Omive7RMPI8fv0bsj08Yy5Z5tviY7TLwxNLTk4MXVhKdqNhRSNqNuo33RIsXFsPslxieF58mLJazRHvlu7YSo4369eBsiUzMU7XJ01j3bq6DuOWqeu8FXSK+nadDVCxigxNeg5tNV9gierh8G5pfwfMzS+P8x2bPgYe3jrj2tblm+UdIuRECAgBISAEUiYQ0JDqRFvNzOhftxUz6b1aTQjiKGitnYOO+nbDm9VeT+vP6HfYtkZgGXu5VmHVzBp0dFmeh+5Oept8pWa8cX/phjCxCdXtlmesvR4dc7QbhiaL3zARu904clJGmyMCulvQ1FYT/ToO9mg4DOdIf3SmhmPS5Z1p7CgzPZeOsUmSN+uHalSWVGAmeYIM40WpEvpYt6KZfjDYryYhT1hjObetGlR7MjS39WCVeoWJjx5OPsRA8245/w788lS7ak/G5XRDkOkd3kgLTy7w+MGhitNejZmWJIdCQAgIASEQAoFAhlR3V6z3apUEfK8W36DKySay3qu1cBlqGpu1mBvt5kXGmfI8tDZ32HUifSVPWM82WDMvQEkpLfqnb5osaiF2u/Hk6DLz/Li8zGWs+vXXNDaWqQHwMKZrlEeHjLFlNY1oNlyDyfHubqGFiSxjuoKM7EZTmKVgyGPd3UWrcrtYjCsNwMatRw1i86HXoFi/E0oWbkOPbY1xl/zytDFxG78Vq9ATw+g1azn/DjRJcigEhIAQEAIpEghkSJWUOk2VSJvdCbxXqw11E9V03BzzvVqeIS9knJEPoqWbvvw7vLwBZuscs2UGvrMsv82/3eBy/NrI8by2zsgUnmO602vKiIwNR3fdxnQ5yqI8OJEKifHuRktTG9rqJppjPYdG2mGAR+SaRymONXlAIytvk8SSMpR3dEXYuJvzOmdjzJGu8yFjsr0aTfbfgc43dl6EGV3zypPrNvgcbXqdmGy8ciRNCAgBISAEkicQyJAybij6Day1wXyCyvgFH9vYcapFMVZ2MDNPy2leJUfBElRWA52rm9ERNa3HBWkKhGKtmmdGpvb8XzYfq91E5TiUzJ+TkkpUlyuvEXXLCFJmthtpFWqPLcoD6Dam29BpG8jdiDgzk+BtTOvVaw84UKC37eHy0I009r7GArbNhpMulvvqOXXNU2sxHrSIx8fmS4zdU3Ix8ipWWdc6//0oD5Zu/Oo6xzw22cTMlgwhIASEgBBIikBAQ2oh1nJck4qFqShFJ/+qnqgF5ho3kMjUBE/JRH7dU3wL3QBXqEfKOahWyfJQu4QsqY5Gr2k9Kmz84tenUlhApF2nOJ92E5LjlJpfZxTvs4ymzObo3hHqIccHeXbUzTQ6jsieftOnoJLgzddQJPDbVCZ6ek8p6dZLu8aCtm0YTpp3jqICl1DMfd1ELQaP0dROpFDzeixRMVJKBWPv1kPj43fd++U55NOJ2/iNCix3V3Dp5M6WcyEgBISAEEiaQDBDisRzPEd7dRMmGk/e8XQa/cLlp/ZoCQRzzR110zGn3BZQgLDu0ahYtZFeZqqmaDpQv1Y9GeWhu3GjGIdSryki+tVuGHXqCcAFnRhXrntBnPJitpugHKfUPDvjGBvHlBONoRHL7O01dDKlZRNc8Tk1aDan4oyHAqwn3hLmzdN64yKB3wo5x2Q1rvBcU8qpl3aNBW7bNDj0MCwjjslY6cO8rnk6eU4HeclcfVbq8d6ph8aHOBtLJ6hrlxkrOX55unDjmIPdzeVHjOltnXNUWTNB6RQjW5KFgBAQAkIgSQLZ+a49/oW9uhTb1DRGkp2TakIgYQJ87S0A1ioDJ2EB2V1B3rWX3eMj2uU/AXnXXv6NcWCPVKa6biyAyL+wvedNMqWGtNNXCQyz6mAAACVKSURBVLD3ijyvC9Q0dF/lEK/f+9Zg+uDF2pO38SpIftoJyJikHbE0IAS8CAzwSuzNNGMqZWFvaiBt93UCfA1u6+sQpP+5R6B4MbYdyj21RWMhkOsEss4jletARX8hIASIgOEdKYR6D59atcFIn7YGDUs88gxwLagdbOVNW4zaaVPRsE/J0zxgbu9LrPb8ZLrzfD1sml6DLZ1869OTnaz77YttBtNvp8dZW13ntozFVHaqVVaXTwVi9Y3TDUbMi9i4mWhtGflGW+o/vT8urr7jo+rLXggIAUUgpkdqw4YNqozs84zA3Llz86xH0p3sIkA36QmbUL3rMLYVk2Z8g59AN+tDa8y3I7QtRdPs3eg5RE+T8M2+fg09AbnYWPi0dUkVOpZT3iIrj5ZCoQcn42z+7fnJ1PO6yZCZuKQFPasrXe2xUVRFr0yidwoar0sgnS9fg8rHF6PbrS8ZIe2Ubj4n8wzqOuuon2ssBuNRNG+zdn4bWhdZTLAOdZtuRvuh7ShhJsSr1ODl3ze0rYvoRZxX2JpTPWK38dBhg7m7b3q/jTHQ9fYZH1u8HAgBIWATiGlIyc3WZiQHQkAIJESgEqsOacZI8Rh6+8AeTcJ8LGNDibfSsShv22MselqCFjSvpzw2sHiruBr15Zebx77/+7XnJ5PzJpPBZ7ZXsqgONYO3oJUMKcfKFvu20muUSC+VWLHGNKhI39UOfWehproeLfsWYyEbkJiM+qssDsUzaL02Mi7tc2ayCV3kbaswytJ7uessA8zqt5nn1zduY370k62cbGy0LIwlv2TRdvSo5CjOmt5GmVjjYwuQAyEgBDQCMrWnwZBDISAEwiPQak/fVcVYk8zV1r699IqesQFeyeOqZ516thdXJnmNJqhpRtbTND6iWvDSi2U7CpYGfGWWo5J1MhllpSq9BKXjn0Fnlzonx12iLEEG2K7ZaLL7pk0Xhqp3REc5EgJ9lYAYUn115KXfQiBtBGhaieKcmr9AU2E0tdSz62bnivGx2mXPleWdilXEO92nvbgy5xvTX4aerCtNrZneJFdLXnoZnja9XFcCr8zS67mP6Y0Au5Vh5dM3dzX3uRF8bo0BrclWR9ORxksH0qa3WwE5FwJ9g4AYUn1jnKWXQiBzBAyPh3vKKYanx6FVJWbOW4cVHJTNW+ttqFOvRzBu/hEZ3Vs3Rd6c4Nuej0zy2jjbo9gkihWyWjd14P+Nabl11su36dwO6nbX34LG8tmotKbqIgKCHJFnbGWLWZD7DUuOb9985HKclVdfjCph6u2jg2QJgT5CQAypPjLQ0k0hED6BdZijnrBTewrWBnlC1i6nV0qptMv30NsHnFNVsXSpWL0Z466loGyu++hYipFSJSuxZDm9rseaqlpAhob95oQ47cWWSfFJenvVtBr+3SpQXLXLe1pJ/vHNQLU1BWgE0ptB4s76FNxtB5rr9YMcT6b+1Jv91vWI07eYkimOa+P4pZioxoADzzXdwtM7pgaSIQT6DIHsXNm8z+CXjgqBzBLIqZXNjaf99lDwuXqyLQRW6ZCZslo8fVePsl0xphVTli8CsomArGyeTaMRji7ikQqHo0gRAkIgZQK8zIAK/Ka95vlJXnQ6ZCavjdQUAkIg/wjEXP4g/7oqPRICQiC7CfAU2mGE+2KDdMgMm6JriYOwxYs8ISAE0kpADKm04hXhQkAICAF/AhwPFmvjpwllEwJCILsJiCGV3eMj2gkBIZDnBMRYyvMBlu7lPQGJkcr7IZYOCgEhIASEgBAQAukiIIZUusiKXCEgBISAEBACQiDvCYghlfdDLB0UAkJACAgBISAE0kVADKl0kRW5QkAICAEhIASEQN4TEEMq74dYOigEhIAQEAJCQAiki4AYUukiK3KFgBAQAkJACAiBvCcghlTeD7F0UAgIASEgBISAEEgXATGk0kVW5AoBISAEhIAQEAJ5T0AMqbwfYumgEAifgOOdeLQyN6/ObXymrUF3+M2lTyK/xHjwYrSmrwWRnCyB1sWR64qvL/3a8hs3vzxdF6Ocdu1a1/D0260r2NG+XCM6Ojl2EhBDyslDzoSAEAhAgN+Jxyty9+y6GeWYj418zJ/HF6MkQH0pIgT8CHTfPhVF1YhcV3RtbRy/FBN1Y8pPQOA87dq1ruFti+gKZiNLa799eQfmLGkJLFUK9i0CYkj1rfGW3gqB9BPgm9C0xaidxr/2rV/yrl//tcoFZJRdg4YlEc+AnceaxvQKtKCWZDfwDdfwJExFwz69a5yvZGreBIdulD9hKdqwDnOUnjHb02XLcXoJtGD1tUD9rjWo0BqqWL0b9ViK1a00tvq4OcZUG2utLmBeL+qyc2R5nRQvxrZDkfZLZsxG+fot4rn0YiVpEENKLgIhIATCJ9C2DqhjLxXfjPjGtwnVuyyvFXmxOqq1G17bUjSV7TY9Wk3z0Vivpgepnq9XYB3qNs1GO3sSmsahbkJEZuuSKnQsVzKBObonw9aN6tkeNUtP3/bCxyQSPQi0bkFj+WxUFrvzSsCe0FUVlVjlGDcqZ49pxPhx107lvHvrJrTNm+Uw7FKRJ3Xzi4C8tDi/xlN6IwSyhMB8zLTdCXTjO1QZ0at4DMZhT+ScpgaX8XQKb6VjUd62x4izMlM60EWepgq6qZYs2o4es5T9f02dNZVYcTXqyy+3yrageT3JPGTJrJiFmup6tOxbjIVGTV03W5R14N+eu7Scp4nA+DEJThHHGFP2MFaTUW9tjYPN43IysrfN4ET2RkbyMW8zelZr1yp7uwzv12TykGnpSmCK+0ceeQSDBg3CkCFDjP1RRx2FgoKCFKVK9WQI3HLLLclUM+qIIZU0usQqbtiwIbEKUloIpIHAwIED0yA1mMhWmr6bs16VpRufOoy5Z8/DXrqRFaLOKMM3s+1YaHsqJqOsVFUuQen4Z9Dcxed70UH/R+SXoqxclfPbx2vPr67khUaAjende8mYrkzQmPLQoGKN4RU1p/a2YKY2XQdjKphjpHy8WMYU32ISzFODNH3suP482ksw6cILz8bIkcNwyinFtD+BjKlC9O/fP0EpUjwVAgsWrEylulFXDKmUEQYXcMXFRwUvLCWFQBoI3Ls5DULjiuSbUBXQRFNpq6mw8Stf90j5CLBvZFSGvQuXr0GlZ0B7N7p2k2F1FZWL8nh1obMNKPNpxs4K3J5dQw7CJsDj12Z5EG2jmRvpRsO08eikKeNVtgEdduOx5FVi5rwq01B36BSrfLD0995+A4cL38dfDhbgUMGf8X7h0WRI9QtWWUplDQEZsV4YioJRT/VCq9KkEOglAvvYQ+SeejGn0Hw1YsNJj22KKvwM6lZaT1K13kZeKxVXwze9dVhhP8YeK+bGJTBue67ycpomApVYspxC7LSYN26odcl4GuObscSeMk6keZ5e9vE8uUVFXQs8Xax7QN0Vkju/7sZGfOXKm/Gpz9dixLgvJSdEavU6AfFI9foQiAJCIM8JkJdn7fKpmEhP0Rlb+XzUlD+DTp6G8/Ms0LTMxkcLqd5SCxBPw+jLK0xGDT3HVcTeLvC03xp7Kqhi9WY0Dx6PInr6C8byDHo9Sxzvimegunwpxcnwo/bx2tPqyWFaCRjxcGPIkFbXDLdWfjPalTdSH7ddY8PXha699r18zaprzz2tHE6Tt956K03pjcSFF16Iyy5bhSHFs9Fz4OFwhIuUjBEo6OnpOZKx1vpwQxwjpab2Cka9gyve/SbudPAoxcoXvoVacht33fFDjLnOCPYwSpx5Uz2evvJ4Ov4dFhx3G/DT9Vj7ec56g55guRv4Mdfj4zpcRVMYju2yq3Fk5cdpOuUXOOu0Dfi1kRlpyzj9xb0ouHCHXS3SnpdMs+7Jq+fhvHvsKpED1V4kxXXEfXgBVe98FUasJ+Wa/YXZf8TS06/vZp7OM9IHV/N9/PTezf1QVcWGB9BvQO/FS6U+DDxdWI+ykGNWUtdLJAgBfwLv//M9o8DmzZvR+eofMWzEiVhy2VzDkDrqqA/grruuFGPKH2Goudf8YKshL5Vg82BTe90NmF5UG2ANDZrDnl6EoqIiTG/ojtPZVtRSOS5rfoLIJ5GBdYnTfK9m/w5r31mPI9Zn7030s7z8DMwkI4q30iu/RXlX4wpMwc+pjGlEmXn8/503/wIRMyuSzj/vV74QkWvIZyOKDa6vP4eLVN4LZ+ChrysZZITcPBx7NX2+3Xk3Vtlr8rhlmsbejJWqnYiekfZ0neIckxE35roR1E/LGIyppykndt9NVibTqzH+ujos+EWctiVbCAgBIZAlBO65p9Ywonpdne13oGjUBZFP9RbjKdpQ9dq/BdNH3RHApgi11bQJC2ZIBW2+uwVNbTXY2NODbQutR48967IRNYd86T0gj5jxaa+nlWOnN4Q/YJ7tZ1Pi73DzdeSN+fHnfWc5HBq3PYdm29Bx5Hif7PstHkLEUEPxCRivZOx7HbtPPcHR9oyVprHkLSzEVPaSXQgyoizvlJ+eqlmltzr33H8cVZcBu7ve8MyVxHwgwDEv+hN8+dAn6UNfJfDor9vR3NyMX/7yl72KoHt9HYouo1szTS/yFCN/Npatx8R0GFO92tNwG0/ckGKPEBk8DbXKk1QEcyViMo4m1tEqwY2YUzQdpkOKDSZVTvM4dXdR8GmNts4MrRGzcBlq2prQYjuyvOrqbWjywmWSUWlbr7oNu2+63JjSC9bwFKy8Cbhq9e+CFedS3a9ZU3qqykdxankXfs+siz+Bi35/GwqOuxemg1OVSfPemGpkL1lkis9XT0OdgH0n2d+/BxhfytOhsqWDgP1uPXv1cLWKuBUHlY5GRaYQyGMCJ4wPtEZHGgm8gNXfpRXld1zpWHi04qYGikRcj9XbqWn2JFXfQQvlssdKeZReQK3twVJplpqG5yni3aplGaDyU9aTrdCKOUFkWKKyeZe4IcW9aaujlYjbTW/Sxho0rmBPUgVWtdfTe7fYI7UN7JBqrZ2DjnpVjlYXVh6nkkoK8CSDS50bhKi+VY9P9bqGt8qw1vQ2VjkG2xCRa//RtNZ590zBt434p+DKn3zlLFxxzwsehk8XrjptHhlF6hPEODqeDGGapnthOL5v1HPXccmsUFOCwfWNLrkD5xnxWiNwsjWdGV3GOyV230mm6jfJBsWVmXFk3nIkNTUCxnv1rHeTuY9Tkyy1hYAQ6BUC259F46SzUDna3fowLGx6GKumWuk76UU732BvlWlwtV53IzqubzC8V+3XH8Cc616wCrLB9DSqd5ierZ4d89BxGRtap2EVHZfTHXxjXBluXbLzPDlDioylZWrqrqSMViLu9JiSa0Vzo1auYqbmcaKl/rfRlN6yTky0PVbKi8WguG45qivN6UHDW9XYnDfzqealQHFLN+/AFT/VPDKBrxGeutqB79/xf64a7nimBGQXfx5PG3FSp2HzcT+MHSPVmsAUpEs7/fQKCpj/OfXhvKsS8KwZAmL1XY+Rio4r09uWYyEgBISAEPAgUDbCfvLVI9dKqsBMZVSRd6n5/jJUTxtm5JXMuwg19z9r3avJYDpQj4WjrWqjR9AbDbw2Pxle5bMvLUlDKkBHjOk7vVxJ9OrCFavsGKme9mo0TdSNqTbUTVTTgnNowpDWnbGn/XS5uXncdcfduOrUq5P2msxYMhe4bgvFPgXYSobjTEex/8Pv20pxKtup5BVzBmV/HGt/OgIPtaQzvmgKquipwxkrKVD9ntsi7fvpqemfUN+1enIoBISAEBACMQicdCLKO1/1cIrEKG8nd6Juipq+u5Hu1QfQtd/OROt1el4k3XnkL8NZNvvO0mdIlZS6rM9uY3VhA0FrLYocr3in1JKFWFbThk7bWDKD1lUweo827Zd9GBPUiLw/X+UA8yX8RF2SG8n49mVd+LV7uQMvcXpwOedzgLl6SvDzpwEXOqfztjbvyFB8ERttU3DnhZYHzE9PvV+J9F2vJ8dCQAgIASHgTYA9RjufRst+d/ZBNFBMlBnf5M7jc56is6bvjL3yQpmxU80Vkam92FFgsWR4tZd9aekzpAjuzJpGrFDLILQ20xu9q2HM1vE0X+McK0hdQTGn88qM2Tx3XTK8HPFUqk6O7snz8mtawMAZzzTP9szwukoFtF7UnTDjfs66w9s7NGPmlIAAyGDhJQ9U/NRpr+Hb9hQd56n4KDO26vtlenxRbD0DNu5f7PNfpSk+boONOT89nWKC991ZT86EgBAQAkLAi8BpWHI9rSg/xRkw3nrdQlpRfh6W2NN5et3TMPPSVqxYf9BM3E5LJ6gn/Pa/SvNI+jQgF3F6q8xKPjLMAln/f1pXNq9YtRHNRRNRZLxxlD1MC635Vw4s32g+0WcjKkd9uxmkzknOupy3yqxrBKrX0ZOBvHpCjgac03Qar3cUazPWkbrSK5cMjXc0LxYZIUfeUeU4aPxb6iR6b8RAGat4JpBnBqLXRtfQUlw6aTneh9HljTWpVlqlY+rpqufouyvPu2FJFQJCQAgIAR8CJfPq0XOSuY6UXWzSPLQ3zYoZO1Vx03+gedRCFNETf/xGS37qz/CHjJ6FtdfXYSI90WdskypQM6kTnS/T2dTTUT1pPT21x0stUNB6LBlmzaz/X1Y2z9AQOVc2fwpHDnw2Qy1nupnoVcYjGnBAeAIB8JGKchQSgfxZ2TwkICJGCGSYgL6yeVtbG44//niMGjXK2B999NH43Oc+ZzwBl2G1+mxzYaxsnlaPVJ8dmT7dcfYO0Sts+jQD6bwQEAJCID6BhoaG+IWkRNYTEEOqF4Yof71RvQBTmhQCQkAI5CiBm/6jBiOGfxhlpSfiRNofU3g0+vdPY+hyjnLKdrVlxLJ9hEQ/IZDVBPjlwVPR4PvKInoH57RC18MlqlNa3r41mD54sbkGTaxjVS3Mvd6WQ66pG6/iPv12+3FiR4mkT/Q29eOkBeZhxdbFcKygP21N5NF8P2Z+eTomo1xkRX7Vlhrr7tunOttX16YuQ46FABGI6ZHimB7ZwiVw54P/CFegSBMCCRIYOHBggjXiFG/dAswbh6at3Vi4yFxAN06N2NnFi7HtkEd2rHSPoqEm7dtK7w6dj42H1tCzR2nceqt/aexSqqLZiJl47Thif9hm37qkEBOnAe2PL44Z+Jx4u7HHt7vzGdQ0HcaqNA7+I9v2YNCgQRgyZL+xP+qoo1BQUJB4N6RGrxKIaUjNnUsLPsomBIRAXhFoamoKsT/ksaGXjZfdTY/lXr4V3Yv0Gxx7qqpocT7ayufTuxD0LUYeewgm7MGyQ7PQPGEpvYuLXis1mJ7q2TUWK4x0ZdBo9aHdCLn+5UD1+KWosx6KddwIDfmmXNbGkaerZxxTG7YOHahvmo2matbN0sHWlc7jtQtd38mo31WHTlt2iP1jD071OqsnGpeovmV7QgtWX0vvfNulxtvUt2L1btRPG4/VrWNokF3Xx+V7aN3CdWhkw5eul+iNx2ALZqrxiy7gSulG1+7JKLvKlSynQsCDQExDyqOsJAkBISAEIgTYY4PZWFtcidLxVXSDW2z/em9dUoWO5bvRw14q4wZPhotV0y/PLFKJVbtuRocynshQWRFpFVH1acrH9lK0LUXTbGr3kNVu/RosqWADjw2jTajedRjbikmYYQjRNGLMG2u0Dr4maMx2eXqwCiDPRg97NpjF5XvRno7+VZNRZnlwDI/Okhb0rK7UyOXIIXk5G8tno53HybHRq8UeP2ymuPm1kQGpGLuuF4eIwCddtID0M2icUEhrKJmbv+EdWLCj4Pnnn48RI0agrKwMJ554Io455hiKkervKCMn2U9AYqSyf4xEQyGQlQS6t24CZs8wplkqvjAfjY+2WHq2oHn9fCxTU30VV6PeXtLYLy9IN931Z9E7PDehxY7R0totHUvvAd1jxdWQYXRoOxaqm3PxGNebF4K07VcmRrvW9OBMNT1UsQY9vlNTyfaPdaPXaFkcShZtz00jSiEePybB6bv5sBkrGbxnw5Vi3IoM7+g68nCaMVEqDgrkxVJpRjkyPo1t316iyd5DMoCNl3PvRll9vFhAs6r83/cIiCHV98ZceiwEQiDQjZZNz6Dt2vHmjYqnlNZvsQLF+SakbyXksbLOjRtUjDw9OdZxVP3S6Hd4xqpL6RxnE7mx+hQMM6t8bHCjIOn+sQeNph/Jg2L2L4dv+mwA794bCSxPZSzYcDUMoc3kEeXpTtMw2qaMfC3NKKc8eEbcmmZ40wiWjn8GnV2pKCN185WAGFL5OrLSLyGQTgLGtN7NaLduTHwT2jhvHZpbqdEobw/Hm1jK+OUF0TeqPk/BBKnIMTKFaP6C5WGgqSHbSRakeiplbK9YACFJ949kGzd/q39N41B3ufaUW4Cms6YIM3B4GZVm2hOeKkn2QiALCIghlQWDICoIgVwjwNN64+r04HJ6rZM9vVeJmWRUrVBLBrTehjrb2PHLC0LBXd+Mp6lUU3axRBieHvf0T2QqLFY1O90wcCLluf92l+xCHgfFM1BdbhmYnM2xWb6P0SfZP57C0pcH8FAld5IqsWQ5vfNtgrUUhqV465LxFK90M8W8JdMTntp1Bq/7SoniyT8G3NePrwTJ7EMExJDqQ4MtXRUCYRFo2TQuOialguKV1tcba0rxE1bVm6xpv3oKNNfcP355tn6WATLHw+ioWL0Z4+wpRQqw9o05siSSt2bt8o5IPAw/5VWeyFSNurmbU2cLKMheBc/bOnsecID0ZnrKzJpyMwLe6YYedv9oCmsjPa040YoBKuLA8yBcPHXu/UQjxoui+/X4pTm7yQOq+uTDLxTtiWf77E0RnoPpcdC7EzDEQlFChOQKAXnXXq6MlOgpBEIgwMsfVFXRU2S09RsQ8ppSIegnIoRAvhPQ37V38OBBeWovDwZcPFJ5MIjSBSEgBISAEBACQqB3CIgh1TvcpVUhIASEgBAQAkIgDwjIgpx5MIjSBSGQTQT48ftYGz/dJ5sQEAJCIJ8IiCGVT6MpfRECWUBAjKUsGARRQQgIgYwRkKm9jKGWhoSAEBACQkAICIF8IyCGVL6NqPRHCAgBISAEhIAQyBgBMaQyhloaEgJCQAgIASEgBPKNgBhS+Tai0h8hIASEgBAQAkIgYwTEkMoYamlICAgBISAEhIAQyDcCYkjl24hKf4SAEBACQkAICIGMERBDKmOopSEhIASEgBAQAkIg3wiIIZVvIyr9EQJCQAgIASEgBDJGQAypjKGWhoRAHhHYtwbTaQVzXsVc/9S2an00yiyGnqTlJn6YrLxk6yWuodQQAkKgDxKQlc374KBLl4VAOATmY+OhNaiwhbWglgyr2qbDWMWJxYux7ZCd2XsH2aJH7xGQloWAEEgjATGk0ghXRAuBvkWgEqt23Yzpl69Bd8VilLAnaMIeLGNji48v34NxWIfGNmWAseFVhUYDkkpTxPS8yajfVYfOCUvRRtlzBsMy4PQyWn13W7vGYoXSwxAfox7ntS5GUfU6oxSgybRSZCcEvAhMnXIBtu942CvLN+2RRx7BoEGDMGTIEGN/1FFHoaCgwLeOZKaHwC233JK0YDGkkkYnFYWAEIgiUDwG49rq0bJvMRa6M9vIQCFvVY/lwmpdUoWO5bvRs6gE3bdPxcQlLehZXUm1utEwrSpSlo2by/einYy0Ds0g0usbBtC0NWh/nAw4bldviwyrFZouej1nu2RgVbORdtjwsjnzNAFyKAQ8CCRjTF144dkYOXIYTjmlmPYnkDFViP79+3tIl6R0EViwYGXKosWQShmhCBACQiBCoBRl5ZEz59F8zLTnAVvQvH4yqncZZg9KFtWhZvAWtJIhVbFvK5rIa7VMla1YYxpfZBBFNq5PZQ6Z9VExCzXVugGntxWpBfi0axTrQNc+oKIYpNN29OhV5VgIxCGQqDH13ttv4HDh+/jLwQIcKvgz3i88mgwpCV2OgznrssWQyrohEYWEQC4T6EInzb+VBerCM6ibUIg6u+xklLERw+flY03Pkp3nOti3Fx2UNNNO9jPg7ELWQYx2i3lqci9NRyqdeEpxOxaSUSWbEAhCINHpvetuNCe2ley3921Sh7LPIQJi+ubQYImqQiDrCbRuQWP5bFQGMj44Bomm+uyPZrS07aEJPp+NpxAd2aYB50iKeeLTrhGYbunUNA51HO8VU45kCIEIgUSNKK5566234qc//akhZHfnfgwpnh0RKEc5Q0AMqZwZKlFUCGQ7AY4xWoeaOitOyVfdSsyctw4rbrfMFI6Dohgn46x4BqrL16FZrZvAweOD3csouOsHNeDc9bR2dR18dZdMIeAkkIwRZUj4G7lv/7rdFtb9yhsoGnWBfS4HuUFADKncGCfRUghkIYF19ASdvo6UGSBuLH0QQNuK1Zsx7trx5jpU1R2ov1sZYCVY+PhmoNqSPWETxVLRk3+WgTXHMqqc9SlIXAWax2nbWU9rl2KxNo5fiomqTxx4HlBmnCYlWwh4EvjmtyIBhePLRqNk5PGe5RJO3L8F08kgY6NM/9RGbLaERSZcwdDhjvjryOnl9OOEG+y9CgU9PT1Heq95aVkICIFMEmhqakJVFRk8tPUbMDCTTUtbQkAIEIH3//mewWHz5s247LK36Hgkdjy8HsM/egyOOWYARnzyQfQcSHwpBQdcNkim/AHLDlyprfP2AmpH3Qjc8zBWTXWU7t0TT10zp9I1P9hqNJbK8gfikcrceElLQkAICAEhIARsAid+5t9RfO5l+NCwM3H8yGl2enoOTsOqHfPQ8Z9btLg/Nq6U18rlPdp+h+bNcuVBr1eHhv2kMRtE1XfQ9D7Lo/IO7xKXvwMN6+ssmVYdljNlPa0P14o5UXWYgt6OpoPR1hY0XKd0vwAZ9baxatomhpQGQw6FgBAQAkJACGSKwB9+9QPse+yeTDUHjB6BcTufRst+s8nW625Ex/UNhges/foDmHPdC5YuZMBcRlPb5Blj75gz7yAaqk3PFuf13DMKdd+0jLOdFNj4Da6je8IskWQs1T16FtpVnSlsGJnGXTn5zTZ61NH167mHFuOt1ozAnevRNMbUveeeCjQ6DETVZmb2YkhlhrO0IgT6HAH9HXx9rvPSYSEQgAB7pH56byYDl4ahbJJS7AU031+G6mnDjISSeReh5v5ntZimA+jab5YtmVePnptOM0/2P4+mnRWYqaYHp16JnqZZ1nIlWrpZ2vF/zTesclOrUD8pIt9RyD5h/SqwbJ6pH6Z+CjWaEcgLpdh5J52I8p1/0DxttpCMHIghlRHM0ogQ6HsEIssaHO57nZceC4EABL553hcDlAqzyEF07tTldaJuipoeu5Fe16SMG/YUnYUmO09NxVl1J53ov86b3oR9XIayk9TJMJSWdaLzZXXusd//qrFWXCRHNwIjqdlwJAtyZsMoiA5CQAgIASHQ5wj85FdDcMyxH0HRzuG0Px6r0r2M1PZn0TiJptdGK9TeU2pG7uhZ2HZglllwO8VL0fRdpfI8Wd4f670CSlgC+4Po6iTDaoFPFZ6GxB+0AqYRGGyxX61aBg7FI5UByNKEEBACQkAICAE3gS9/5m3UnvtHrLj0Nay74n/d2SGfc9xTK+zpNYpPmnlpK1asP2i2w8aSikHSj91ajD4d1ZNa0axmJB1B5e7C+jl5v9ZaMVjbN9MbDc5C5Wg9333s1s80Av3ruGVk5lw8UpnhLK0IgawjoB7DzjrFRCEh0EcIpNcjxU/CqVVtTaA1rqUPKm76DzSPWoii73J+Gep3XGlO2VHc08bWCzBx1HprJNhzpeKghmFh03+YT/sZuVyvniKWtjheDm5V1HZlqMFD9NQeBarrbRmG2XrSlYLbd5yolacoKId+ug6OYr1+IutI9foQiAJCIHME9HWkMteqtCQEhICbAK8j9dZrj2HkiKE4pWyYsT/0pyfDWUfK3Vivn/MyBg+hjAyuhaN7XRmHAmGsIyUeKQdSOREC+U+Av8BlEwJCoPcJ/PntTrw78Bj8qehlDHzfXJCz97USDRIlIIZUosSkvBDIYQLV1fTeE9d26NAhvP766+ju7jb2f/3rX/H++++7SuXv6SOPPIILLzwb7739Rv52Ms969si2PUaPzj///Kzqmde1dN2NjVmlY+8oQ08BHrCWT+gdBdLaqhhSacUrwoVA9hPo378/CgsLMXToUEPZv/3tbzhy5Ej2Kx6ShoMGDcLIkcNwuLDvGI8hoes1MTxmvI0YMaLXdPBq2Ota+q87lnoVNdIKjx6IoUM+iOEnfAhDjxuMgQM/gH79CmKWl4zsJCCGVHaOi2glBDJGYMCAASgqKjLaGzJkCP75z3/2KUOK+/zQQ09njLc0lDoBHjPeysqy62H4RK+lfv36gf/+jjrqKGPP57LlHgExpHJvzERjIRAqAfZIHX300cYX+b/+9a8+ZUQxSOXdCBWqCMsIgRNPdD7llZFGfRpJ9FoqKCgAf9iA4r1suUlAntrLzXETrYVAaATUNJ57H1oDIkgICAFPAsp4cu89C0ti1hIQj1TWDo0oJgQyQ0C+xDPDWVoRAkIgPwnIhGx+jqv0SggIASEgBISAEMgAATGkMgBZmhACQkAICAEhIATyk4AYUvk5rtIrISAEhIAQEAJCIAMExJDKAGRpQggIASEgBISAEMhPAmJI5ee4Sq+EgBAQAkJACAiBDBAQQyoDkKUJISAEhIAQEAJCID8JiCGVn+MqvRICQkAICAEhIAQyQEAMqQxAliaEgBAQAkJACAiB/CQghlR+jqv0SggIASEgBISAEMgAgf8PUx5Jna7+xtAAAAAASUVORK5CYII=" 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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Enter technical name of Infoset as ZINFOSET_KONP. Click Create.</span></span></span></div>
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" 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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Enter description for Infoset. Select option ‘Data retrieval by program’. Enter structure for Infoset (ZPU_A017KONP) and External Program (ZINFO_A017). Check ‘No automatic text recognition’ (to ignore text fields). Press enter.</span></span></span></div>
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" 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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>4. Save and Generate Infoset.</span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>5. Create generic datasource ZDS_A017KONP using RSO2 transaction.<br />Goto transaction RSO2. Enter technical name of datasource as ZDS_A017KONP. Click Create.</span></span></span></div>
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" /> </span></span></span></div>
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" /> </span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>6. Test datasource extraction via RSA3 transaction.</span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Verify the results.</span></span></span></div>
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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-41174238865408285162013-07-03T05:05:00.003-07:002014-12-06T07:17:54.354-08:00FI-AR Line Item Data Extraction to BW using 0FI_AR_4 DataSource<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Scope </span></b><span style="color: #215a8d;"></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>As part of your requirement it
was identified that you would need to extract the FI-AR Line Items data from
your SAP ERP system to your SAP BW system. The standard datasource 0FI_AR_4 was
identified which could address the basic extraction need. </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">R/3 DataSource
Customization </span></b><span style="color: #215a8d;"></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Applicable SAP
Notes </span></b></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Customizations were carried out
based on the following SAP Notes. </span></span></span></div>
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</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Customizations were carried out
based on the following SAP Notes. </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>1. Note 410797 - FI line item
extraction transfer to new DataSources: </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><i><span>If using earlier versions of
FI-AR Line Item DataSources like 0FI_AR_3, this note has to be applied. </span></i><span></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>2. Note 410799 - Enhancement of
line item extraction FI-GL, FI-CIS, FI-CIS </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><i><span>Implemented for 0FI_AR_4
DataSource customization. </span></i><span></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>3. Note 551044 - Detaching the
extractors for the InfoSources 0FI_xx_4.pdf </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><i><span>Already available as part of
BI 7.0 </span></i><span></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>4. Note 991429 - Minute Based
extraction enhancement for 0FI_xx_4 extractors </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><i><span>Implemented to enable Minute
Based Extraction. Changes are already available as part of BI 7.0, only need to
enable flag and modify table Index. </span></i><span></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">0FI_AR_4
Customization </span></b><span style="color: #215a8d;"></span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>0FI_AR_4 extracts data from
the underlying tables BSID (Open Items) and BSAD (Cleared Items). The Extract
structure for the same is DTFIAR_3. If you want to enhance your DataSource with
additional fields, unlike using Append Structure, you would need to create the
structure CI_BSID in SE11 and include the additional fields. On activation, the
structure will get automatically appended to the main structure DTFIAR_3.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><img alt="" src="data:image/png;base64,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" /> </span></span></span></div>
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<br /></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Now for additional fields there can be 2 scenarios</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br />1. All the fields of the customer enhancement in the customer include are available in the read structure BSID<br />Then no additional action is required. The fields of the customer enhancement are filled automatically by the datasource from the assigned read structure via "move-corresponding".</span></span></span></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br />2. Fields of the customer enhancement in the customer include are not contained in the read structure BSID </span></span></span></div>
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<div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>In this case you have to
program a function module to fill the field of the customer enhancement. To do
this, there is a Business Transaction Event available (open FI interface for
process 00005021). Create any function module you like and use function module
SAMPLE_PROCESS_00005021 as a template for the interface (input parameter,
changing parameter). </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>In our case we created the
function module ZBWFI_FILL_CI_00005021 to fill the additional fields required
from the Customer Master table KNA1. </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>While creating the function you
would need to assign it to a Function Group. You can use the default one from
the Sample or create your own function group. However check whether the type
pool SBIWA is declared in the TOP include of the function group. If not, add it
with the statement TYPE-POOLS: SBIWA. </span></span></span></div>
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<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>The code is as below. </span></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">FUNCTION
ZBWFI_FILL_CI_00005021. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*"----------------------------------------------------------------------
</span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*"*"Local Interface:
</span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*" IMPORTING </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*"
REFERENCE(I_OLTPSOURCE) TYPE SBIWA_S_INTERFACE-ISOURCE </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*" CHANGING </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*" REFERENCE(C_STRUCTURE)
</span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*"----------------------------------------------------------------------
</span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">*"DATA Definitions </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">CASE I_OLTPSOURCE. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">WHEN '0FI_AR_4'.
"Customers: Line Items with Delta Extraction </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">FIELD-SYMBOLS:
<FS_DTFIAR_3> TYPE DTFIAR_3. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">ASSIGN C_STRUCTURE TO
<FS_DTFIAR_3>. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">"Details from
KNA1:General Data in Customer Master </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">SELECT SINGLE KONZS KUKLA
NIELS BRAN1 </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">INTO CORRESPONDING FIELDS OF
<FS_DTFIAR_3> </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">FROM KNA1 </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">WHERE KUNNR =
<FS_DTFIAR_3>-KUNNR. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">WHEN OTHERS. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">ENDCASE. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">UNASSIGN <FS_DTFIAR_3>. </span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">ENDFUNCTION. </span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Following this an addition has
to be made to the table TPS31 using Transaction SM30. </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span> PROCS: 00005021 </span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span> LAND: Blank </span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span> APPLK: Blank </span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span> FUNCT: ZBWFI_FILL_CI_00005021
</span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span>Note: </span></b><span>Parked Documents & Noted Items </span><span>are </span><span>not extracted
by 0FI_AR_4 DataSource. Noted Items can be extracted by further implementing
SAP Note 411758.</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>
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<div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Settings in
R/3 </span></b></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Following are the settings
that are maintained in R/3 for the Extraction to work properly.</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><img alt="" 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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>If you delete the last initialization selection in the source system for the InfoSources 0FI_*_4 in the BW system Administrator Workbench, the entry from table TPS31 is also removed. This stops recording of changed line items in table BWFI_AEDAT. Existing data in table BWFI_AEDAT is also deleted. Before a new data request can be made in the update mode initialization of the delta method, the entry must be added again to table TPS31.</span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><br />Recording of the changed line items must be started a reasonable amount of time before the first data request in update mode initialization of the data method. For this purpose, add the entry in table TPS31 using transaction SM30.</span></span></span></div>
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" /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>SAP recommends that you do not change the standard value.<br /> </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span><img alt="" src="data:image/png;base64,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" 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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">R/3 Tables
Used </span></b></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>The following R/3 tables can
be typically used for the FI-AR extraction enhancements.</span></span></span></div>
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" 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<div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">BW
Customization </span></b></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">InfoProviders </span></b><span style="color: #215a8d;"></span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>The following InfoProviders
along with the 3.5 DataFlow elements are available as part of Business Content
which can be installed to start with. </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> InfoSource: [0FI_AR_4]
Accounts Receivable: Line Items </span></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;">
</span></span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> DSO: [0FIAR_O03] Accounts
Receivable: Line Items </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> InfoCube: [0FIAR_C03]
Accounts Receivable: Line Items </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Using the above as templates
we created the necessary dataflow in BI 7.0 as below</span></span></span></div>
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" 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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span>Routines for the following
InfoObjects were applied in the Transformation of Data between DSO and InfoCube
based on the routines available in the Update Rule in 3.5 Dataflow. </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> Transformation: ODSO ZFIAR_O3
-> CUBE ZFIAR_C03 </span></span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><span> InfoObjects: 0NETTAKEN,
0INT_CALC_1, 0INT_CALC_2, 0INT_CALC_N, 0INT_CALCT1, 0INT_CALCT2, 0INT_CALCTN </span></span></span></div>
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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-2622442451453225172013-07-02T21:54:00.003-07:002014-12-06T07:19:10.779-08:00Implementing SAP BI/BW<div dir="ltr" style="text-align: left;" trbidi="on">
<h3 style="text-align: left;">
Introduction</h3>
<br />In today's competitive business environment, the need to make faster, more informed decisions at all<br />levels in the organization has never been more important. However, the information to make these<br />decisions is often not readily available and accessible. The result is countless hours spent obtaining,<br />organizing and analyzing information to understand your business and make better, more informed<br />decisions.<br />
<br />Companies who recognize that information is a key part of building a competitive advantage have<br />embraced data marts, data warehouse and business intelligence solutions. These environments become the focal point for the organization's information needs by storing integrated, accurate, historic and detailed data for use across the enterprise. They enable transformation of raw data into applied strategic knowledge, up the Information Value Chain.<br />
<br />
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<img alt="" 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" /><br />
Figure 1: Information Value Chain<br />
<br />
When properly implemented, a data warehouse acts as a foundation for all information distribution and reporting needs, thus providing an entire organization a "single version of the truth." Through direct access to this data, business intelligence solutions minimize the time spent gathering data and maximize the analytical capabilities. A data warehouse that is cross-functional and core to business strategy will best position an organization for maximum results. <br />
<br />
<h3 style="text-align: left;">
Key Characteristics of a Data Warehouse</h3>
<div style="text-align: left;">
• Solves a critical business problem<br />• Adds value beyond the mere collection of data<br />• Aligned with stated business strategies and advances business strategy in a measurable way<br />• Integrates key business processes, initiatives and capabilities<br />• Enables business innovation by leveraging cross-departmental data (previously unattainable)<br />• Integrates back-end analytical applications<br />• Business models drive data warehouse solution<br />• Integrates metadata across the data warehouse environment</div>
<div style="text-align: left;">
<br /></div>
<h3 style="text-align: left;">
Key Success Factors of a Data Warehouse Strategy</h3>
<div style="text-align: left;">
• Strong internal collaborative sponsorship<br />• An environment that provides the highest level of cross-functional/cross-organizational data<br />sharing<br />• Application of rigorous data quality standards and improvement<br />• Follows an architectural framework (blueprint)<br />• Incorporates an architecture/methodology that allows a repeatable process for designing and<br />implementing data warehouses and data marts</div>
<div style="text-align: left;">
<br /></div>
<h3 style="text-align: left;">
Why SAP BW?</h3>
<div style="text-align: left;">
According to the Gartner Group, organizations that are pursuing a SAP ERP strategy with a high volume of transaction data processing in SAP, the logical choice for a decision support environment is SAP’s complimentary tool Business Information Warehouse. The Gartner Group estimates that “By 2008, more than 80% of SAP’s R/3 installed base will implement BW to meet their operational focused decision support needs (0.8 probability).”</div>
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<br />SAP BW is all about meeting the reporting needs of the various role-players in an organization. It is a<br />central reporting tool that tightly integrates with online transaction processing systems like SAP R/3, at the same time also pooling in data from other internal and external information sources. Traditionally, BW implementations have focused on providing information owners with consolidated data, varying from a day to a month. However, going forward, newer versions of BW will be supporting real time updates from the OLTP system with latency reduced to almost a minute. With this new trend, BW implementations maysoon need to adopt a different strategy. The BW system could then act as a single point for all reporting needs, both operational and analytical.</div>
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<br />SAP BW shouldn’t be viewed as a stand-alone data warehousing implementation, but one that can act as the foundation of the organization’s business intelligence architecture. SAP BW can act as a hub for all closed-loop analytical applications, feeding and receiving data to other analytical applications like SAP SEM, CRM and APO. When integrated with portals, it can form the basis of a collaborative Web based business intelligence framework.</div>
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BW Implementation Approaches</h3>
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Organizations implementing SAP solution suite can be categorized into two classes:</div>
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Brown Field Approach</h4>
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These organizations have already implemented R3 and are looking at BW for leveraging the benefits<br />across the organization through better decision support.</div>
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Green Field Approach</h4>
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These are organizations which do not have an existing enterprise wide integrated transaction processing system in place but are looking at faster realization of benefits by parallel deployment of R3 and BW.</div>
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<br />Brown field implementations are relatively easy to structure since the OLTP deployment has already<br />taken place and therefore the inter-linkages are less complicated. There are however certain limitations of such implementations which are discussed in subsequent sections.</div>
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<br />From a Green field implementation perspective, there are multiple parameters involved in terms of<br />structuring the BW implementation vis-à-vis the R3 implementation schedule. Green field implementations obviously have their own set of challenges.</div>
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Structuring Dimensions</h3>
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There are two key dimensions involved in structuring BW implementations:</div>
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<br />• Time Dimension<br />• Scope Dimension</div>
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Time Dimension - Implementation Approaches</h3>
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The following three approaches can be structured based on time dimension:</div>
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<br />• Parallel Implementation<br />• Lagged Implementation<br />• Deferred Implementation</div>
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Parallel Implementation</h4>
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R3 Implementation and BW Implementation projects are executed in parallel.</div>
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<br />Key Success Factors:</div>
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<br />• Program & project management<br />• Quick resolution of issues on a day to day basis<br />• Client team training and understanding of SAP (R3 as well as BW) before initiating the projects<br />• Comprehensiveness and clarity of business process owners in simultaneously articulating the<br />requirements on the process as well as reporting aspects</div>
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Lagged Implementation</h4>
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R3 Implementation and BW Implementation projects are mapped in such a way that there is phase-lag between the two implementations. Therefore, start of BW blueprinting is linked to end of R3 blueprinting phase and so on.</div>
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<br />Key Success Factors:</div>
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<br />• Clarity in articulation of reporting requirements<br />• Capturing all possible business processes and reporting scenarios during blueprinting phase<br />• Quick resolution of issues during each phase<br />• Program & project management </div>
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Deferred Implementation</h4>
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R3 Implementation and BW Implementation projects distance each other by a considerable time period. Therefore, BW implementation in such cases would be initiated after R3 implementation has been completed and has been operational for quite sometime.</div>
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<br />Key Success Factors:</div>
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<br />• Maintaining the organization-wide initiative and momentum gathered during R3 implementation<br />• Change management<br />• Keeping the ABAP related report development effort to minimum during the R3 implementation<br />• Ensuring that R3 implementation takes into account the data modeling issues for BW<br />implementation, at least from a broader perspective</div>
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Scope Dimension - Implementation Approaches</h3>
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The following two approaches can be structured based on scope of BW implementation:</div>
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<br />• Big Bang Implementation or Top-Down Approach<br />• Pilot Implementation or Bottom-Up Approach</div>
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" /></div>
<div style="text-align: center;">
Figure 2: Top-Down Approach vs Bottom-Up Approach</div>
<br />
<br />
<h4 style="text-align: left;">
Big Bang Implementation or Top-Down Approach</h4>
<div style="text-align: left;">
Implementation scope covers all organizational processes and reporting requirements.<br />The BW solution suite is deployed across various functions in parallel. Therefore, whether it’s finance, materials, production planning or sales the end-users in all the functions would use BW simultaneously.</div>
<div style="text-align: left;">
<br />The upsides to a “top down” approach are:</div>
<div style="text-align: left;">
<br />• Coordinated environment<br />• Single point of control & development</div>
<div style="text-align: left;">
<br />The downsides to a “top down” approach are:</div>
<div style="text-align: left;">
<br />• “Cross everything” nature of enterprise project<br />• Analysis paralysis<br />• Scope control<br />• Time to market<br />• Risk and exposure </div>
<div style="text-align: left;">
<br /></div>
<h4 style="text-align: left;">
Pilot Implementation or Bottom-Up Approach</h4>
<div style="text-align: left;">
Implementation scope covers select processes and key reporting requirements, which have a high<br />business impact. The pilot implementation acts as a showcase and is followed by next phase of enhancement where in other processes and reporting requirements are also covered.<br />The challenge lies in identifying those quick hit processes and reporting requirements while at the same time keeping all business groups enthused about the implementation.</div>
<div style="text-align: left;">
<br />The upsides to a “bottom-up” approach are:</div>
<div style="text-align: left;">
<br />• Quick ROI<br />• Low risk, low political exposure learning and development environment<br />• Lower level, shorter term political-will required<br />• Fast delivery<br />• Focused problem, focused team<br />• Inherently incremental</div>
<div style="text-align: left;">
<br />The downsides to a “bottom up” approach are:</div>
<div style="text-align: left;">
<br />• Likely “curse of success” (overwhelming success overwhelms resources)<br />• Multiple team coordination<br />• Must have a common architecture to integrate incremental data marts</div>
<div style="text-align: left;">
<br /></div>
<h3 style="text-align: left;">
Structuring Options</h3>
<div style="text-align: left;">
The above set of structuring dimensions and the state of implementation can throw open multiple<br />structuring options as shown below:</div>
<div style="text-align: left;">
<br /></div>
<div style="text-align: left;">
</div>
<div style="text-align: left;">
</div>
<div style="text-align: left;">
</div>
<div style="text-align: left;">
<img alt="" src="data:image/png;base64,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" /></div>
<br />
The above six structuring options can be rated broadly on various key impact parameters and compared as shown below:<br />
<br />
<img alt="" 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" /> <br />
Figure 3: An SAP BW implementation phased along various structuring dimensions<br />
<br />
<br />
It’s important to note that the ratings shown above are relative across various options without<br />understating the fact that differences across organizations do exist and the impact of one can be<br />managed to some extent through adequate controls over a range of parameters mentioned above.<br />
<br />Identifying the right mix of implementation approaches and structuring, the BW Initiative is a critical factor that can have a significant impact on the success of the initiative. Each organization is distinct in its environment and therefore no two organizations might have the same recipe for success. <br />
<br />
<h3 style="text-align: left;">
Implementing SAP BW Offshore: Factors Affecting It</h3>
<div style="text-align: left;">
The extent to which activities in a SAP BW implementation can be off-shored is contingent on several factors. The section below discusses each one of them. It is important to consider all these factors holistically before deciding on how much and what to offshore.</div>
<div style="text-align: left;">
<br />Type of Engagement</div>
<div style="text-align: left;">
<br />BW engagements can broadly be classified into three categories: baseline implementation,<br />enhancements to an existing implementation, and production support. The purpose of a baseline<br />implementation is to quickly deploy a BW based reporting and decision support system, which is based on standard business content provided by SAP. Enhancement projects build on the baseline<br />implementation and incorporate customer requirements not met by standard business content. Some<br />examples of enhancement projects are: implementing additional reporting environments like Web<br />reporting, Portals interface, third party reporting tools, incorporating non-SAP data sources and creating new info cubes. Production Support projects monitor the live production system ensuring successful data loads into BW, resolving issues that end-users may face and incorporating minor enhancements to the existing information models and queries.</div>
<div style="text-align: left;">
<br />The offshore component will vary depending on the type of engagement. A rough guide is given in Figure 4. The baseline implementation has been assumed to be a lagged big-bang implementation.<br />More work can be off-shored in an Enhancement project compared to the baseline implementation. The business users have a good understanding of the features of the product and there is greater clarity in specifying the requirements. BW implementations in which custom extractors and custom info cubes need to be built are good candidates for off shoring. Developing custom extractors requires significant ABAP programming efforts and should be off shored. As the efforts in these scenarios tend to be higher, the cost reduction will also be higher when outsourced.</div>
<div style="text-align: left;">
<br />Enhancement projects such as implementing Web reporting for an existing BW implementation can be successfully handled from offshore if the reporting requirements are static and the major effort is directed towards Web enabling the queries with small cosmetic changes to the pages. If the requirement is to incorporate additional functionality with significant changes to the reporting and cosmetic aspects, the level of off shoring should be judicious.</div>
<div style="text-align: left;">
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<img alt="" 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" /></div>
<br />
Figure 4: A rough guide to the varying offshore component<br />
<br />
Production support of BW systems is the best candidate for off shoring. While level one support can be considered at onsite, level two and level three should be done from offshore. Skilled resources for quick ramp-up and ramp-down are more readily available at offshore. If the support is handled by the same vendor who has done the implementation, the transitioning is easier. If you are considering off-shoring the support activities to a vendor different from the implementation partner, it is important to ensure an effective knowledge transition. You should also consider having them at onshore for a short initial period to gain a good understanding of the systems before moving work offshore. Additionally, it is important to verify the information security practices of the vendor.<br />
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<h4 style="text-align: left;">
Implementation Approach</h4>
<div style="text-align: left;">
A BW implementation can be phased along various structuring dimensions as shown in Figure 3. Each of these structuring options has its unique aspects and hence affects the extent to which the activities can be executed at offshore in each phase. </div>
<div style="text-align: left;">
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<div style="text-align: left;">
The offshore component for each of the structuring options is shown in Figure 5. This should be viewed as an approximate guide; the actual component may again vary depending on other factors. </div>
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" /> <br />
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Figure 5: The offshore component for various structuring options<br />
<br />In Figure 5, since blue predominates, apparently it may suggest that the offshore component is not<br />significant. However, since the realization and later phases comprises approximately 70% of the project duration, the actual leverage drawn is substantial. Figure 6 contains the leverage drawn per phase and the overall cost savings for a Parallel Big Bang BW implementation with significant custom development.<br />
<br />In all the structuring options, the planning and blueprinting phases should be executed onsite. Starting<br />with realization phase, one can start off-shoring.<br />
<br />
The offshore component in the pilot structuring option generally tends to below. BW pilot implementations generally have a narrower scope and the emphasis is on demonstrating the analytical reporting capabilities, brining in a culture of analytical decision support based information systems and building confidence on the business warehouse as a product to meet business requirements. As delivery timelines are smaller, peak team size tends to be high. High requirement changes are a characteristic of pilot implementations and when executed in parallel with the OLTP implementation, it tends to be much higher. In a lagged pilot the design and data requirements for the OLTP system are not as fluid as in the parallel option. Hence off-shoring opportunities are comparatively higher. In a deferred pilot, the dependencies on OLTP changes are minimum. Hence the offshore component should be higher than the pilot and the lagged. However, it is offset to some extent because of the standalone nature of the project in comparison to the pilot and the lagged options. Additionally, a pilot project should be seen as an opportunity to build a strong foundation in terms of business process and reporting needs understandings so that during big bang, off-shoring can be pursued more aggressively. <br />
<br />
Big Bang BW implementations require dedicated project monitoring and control. In Big Bang BW<br />implementations, the extent of off-shoring is significantly higher with the lagged option having the highest offshore component assuming similar implementation scope. A parallel implementation has dependencies on the OLTP implementation in terms of business process design. Any change in the OLTP design configuration may have an effect on the BW design. Thus the degree of interactions with the end-users and business process owners is considerably higher. Off-shoring is a possible option in Big Bang implementations as the scope of implementation itself spreads across the various business units, which in turn implies that peak team sizes tend to swell. Also, usually Big Bang implementations tend to have comparatively higher degree of non-standard configuration and development requirements, which in turn increases the off-shoring potential.<br />
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<h4 style="text-align: left;">
Scale of Implementation</h4>
<div style="text-align: left;">
The scale of implementation determines the extent of off-shoring as it balances the coordination costs<br />and the cost savings. The scale is determined by the business units involved, geographical spread,<br />modules covered, number of source systems and the number of users. As each of these factors increase, the scale increases and hence the offshore components. BW implementations as a standalone project, with a small team size, covering single business units and only a few modules may not justify the setting up of offshore facilities. The associated co-ordination costs will tend to offset the cost leverage gained from off-shoring. Hence it’s preferable to have such projects onsite and as the scale of engagement increases, off-shoring should be considered.</div>
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<br />Project engagements where the scale is big and there are other projects being implemented<br />simultaneously are excellent candidates for off-shoring. The c-ordination and project management costs tend to be small and gains significant.</div>
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<h4 style="text-align: left;">
Vendor Track Record</h4>
<div style="text-align: left;">
It is important to ensure that a vendor has a proven track record of executing offshore projects of a similar nature. Thus it is essential to see the number of data warehousing projects that were successfully executed using the onsite-offshore model and the required domain expertise. Ensure that the vendor has robust quality processes and are certified at CMMI level 4 or higher. Check if the vendor has strong project management and relationship management practices in place. The higher a vendor measures on these parameters, the greater the off-shorability.</div>
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<h3 style="text-align: left;">
Reasons for Off-shoring</h3>
<div style="text-align: left;">
On mention of the word “off-shoring” the first thing that springs to mind is cost benefits. While this is true, off-shoring offers many other equally important benefits. The various reasons and benefits of off-shoring are discussed in the next section.</div>
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<h4 style="text-align: left;">
Cost Savings</h4>
<div style="text-align: left;">
The primary driver for off-shoring is the cost benefits. Figure 6 shows the typical cost savings for a parallel Big-Bang BW implementation with significant custom development. The realization phase draws the highest leverage with over 40 % savings. We achieved an overall savings of 30 % for one of our major clients in the energy and utilities sector.</div>
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<img alt="" 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" /></div>
Figure 6: Cost savings on a Big-Bang BW implementation<br />
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<h4 style="text-align: left;">
Better Resource Utilization and Depth of Resources</h4>
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Another major benefit is the ability to quickly ramp-up and ramp-down the team size as the project<br />progresses. This provides more flexibility to clients in terms of manpower requirement and ensures<br />optimum resource utilization. Off-shoring also ensures availability of a bigger pool of resources, which in turn ensures a closer fit of skills for a particular project.</div>
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<h4 style="text-align: left;">
Quality and Consistency</h4>
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The quality of services from our offshore development centers is high. Companies are able to achieve<br />process quality through quality measures like ISO 9000 and SEI-CMM levels. Use of Six Sigma<br />processes also figure in the priority list of methods for attaining quality.</div>
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<h4 style="text-align: left;">
Enhanced Productivity</h4>
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Off-shoring also exploits the benefits of Follow-the-Sun Model. Sequential tasks draw the maximum<br />leverage. It increases productivity, reduces development times and hence lowers the time to benefit from the implementation.</div>
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<h3 style="text-align: left;">
BW Implementation: The Onsite – Offshore Model</h3>
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A typical offshore execution model for a baseline BW implementation using the ASAP methodology is shown in Figure 7. The important activities of each phase are shown. The project planning and business blueprinting phase should be executed onsite. These phases require close and heavy interaction with the business users for understanding the requirements. Since they are critical to the success of a project, doing them at onsite mitigates the associated risks and also helps in establishing a mutual confidence for carrying out the offshore activities. </div>
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Starting with the realization phase, various activities can be done offshore. The extent to which these activities can be executed at offshore is dependent on several factors that are discussed in subsequent sections. </div>
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" /></div>
<br />
Figure 7: Offshore executing model for a baseline BW implementation using the ASAP methodology<br />
<br />The above model is for a baseline BW implementation. The percentage wise split of the major<br />activities in the realization and later phases is shown in Figure 8. The various specifics of a BW<br />implementation such as the type of implementation and scale of the program will require the<br />model to be suitably modified to get the maximum benefits with manageable risks.<br />
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<img alt="" 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" /> <br />
Figure 8: The percentage wise split of the offshore component for each phase of the implementation <br />
<br />
<h3 style="text-align: left;">
Glossary</h3>
<div style="text-align: left;">
BW: Business Information Warehouse<br />OLTP: Online Transaction Processing<br />ASAP: Accelerated SAP – SAP’s implementation methodology<br />Business Blueprint: ASAP Implementation phase primarily referring to the requirement analysis related activities.<br />Realization: ASAP Implementation phase primarily referring to the configuration and development<br />related activities.<br />ABAP: Advanced Business Application Programming, development environment in SAP<br />InfoCube: Used to store information in BW in a multidimensional format<br />Business Content: Standard ready to deploy content delivered by SAP</div>
<div style="text-align: left;">
<br /></div>
<h3 style="text-align: left;">
References</h3>
<div style="text-align: left;">
1. mySAP Business Intelligence (http://www.sap.com/solutions/bi/)<br />2. ‘Chief Executives define their own data needs’, John F Rockart, Harvard Business Review<br />3. ‘Management Information Crisis’, D Ronal Daniel, Harvard Business Review<br />4. ‘Phasing SAP Business Information Warehouse Implementations’ –by Sandeep Kumar<br />5. ‘Supporting SAP Offshore’ by Byron Miller and Stephanie Moore - Giga Research<br />6. ‘Offshore Data Warehousing : Proof Points’ by Lou Agosta - Giga Research</div>
v,bm</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-20865061441093847732013-07-02T20:21:00.000-07:002014-12-06T07:19:10.775-08:00Deletion of Old Process Chain Execution Logs in BW/BI<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><b><span style="color: #225a8e;">Introduction
to Process Chains</span></b></span></span></div>
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<br /></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">A <b>Process Chain </b>is a sequence of processes those are
scheduled to wait in the background for an event.</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">Some of these processes trigger a separate event that can, in
turn, start other processes. A <b>Process </b>is a</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">procedure inside of or external to a SAP system with a defined
beginning and end. A Process is</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">characterized by</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Process type : The kind of process.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Process variant : Name of the process and defines its characteristics.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Process instance: Messages and instances for its successors.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">At runtime the Process chain execution is as follows.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Get the variant and the predecessor list.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Instantiate the process object.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Ask predecessors for information.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Execution of the defined process.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"> Report ending with status and instance.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">Every Process chain is started using a Start Process, that cannot
have any predecessor processes and it</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">cannot be successor of any other processes. Only one start process
can be used per process chain.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">In-order to automate the runs in BW the processes are brought
together in Process Chains. Process chains</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">can be used as a scheduling and monitoring tool. The tasks such as
data loads, Reporting Agent jobs, or</span></span></span></div>
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</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">index rebuilds can be accomplished using process chains.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">The following transaction codes can be helpful while dealing with
the process chains</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">RSPC – Maintenance of process chains.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">RSPCM – Process chain Monitor.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">After execution of process chain, the logs are created which are
stored in below mentioned database tables</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">in the system.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><b><span style="color: black;">RSPCPROCESSLOG</span></b><span style="color: black;">: Logs for the Chain Runs</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><b><span style="color: black;">RSPCLOGCHAIN</span></b><span style="color: black;">: Cross-Table Log ID / Chain ID</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">The older process chain logs are referred rarely and hence
unnecessarily occupy the database space. The</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">program which we will be creating will delete these unnecessary
log entries and keeping only those which</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">are useful.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">To
check these tables in the system you can use transaction code SE11.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"><img alt="" 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" /> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><i><span style="color: black;">Fig-1: SE11 for RSPCLOGCHAIN </span></i></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><i><span>Fig-2:
Fields of table RSPCLOGCHAIN</span></i></span></span></div>
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<br /></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>As shown
in <i>fig-2 </i>the fields <b>CHAIN_ID </b>and <b>LOG_ID </b>form the primary
key of the table RSPCLOGCHAIN. The</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>field
LOG_ID stores the system generated unique ID for the particular execution of
process chain and this</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>field is
the link between the tables RSPCLOGCHAIN and RSPCPROCESSLOG. The field CHAIN_ID
stores</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>the
technical name of the executed process chain. The fields <b>DATUM </b>and <b>ZEIT
</b>store the date and time of</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>the
execution of process chain respectively. We will be using all these fields in
our program in order to delete</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>old process
chain execution logs.</span></span></span></div>
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</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br /></span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><img alt="" 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" /></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i>Fig-3: SE11 for RSPCPROCESSLOG </i></span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i><img alt="" 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<br /></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i> Fig-4: Fields of table RSPCPROCESSLOG</i></span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i><br /></i>Now we will start creating this program for deletion of old process chain execution logs.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i><br /></i></span></span></span></div>
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<div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><b><span style="color: #225a8e;">Process
Chain Log Deletion Program</span></b></span></span></div>
<div class="MsoNormal">
<br /></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">For
creation of the ABAP program transaction code SE38 is used.</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;"><img alt="" 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" /> </span></span></span></div>
<br />
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"> <i>Fig-5: SE38 for Process chain log Deletion Program</i></span></span><br />
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><br />Enter the program name as Z_DEL_OLD_PROCESSLOG in the input field as shown in fig-5 and click on the button Create, a pop up will come for input of description and type of the program as shown in fig-6. Please enter the details as shown below and click on Save button.</span></span><br />
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"> <img alt="" 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" /></span></span><br />
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<br /></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i>Fig-6: Attributes of Program Z_DEL_OLD_PROCESSLOG</i></span></span></span></div>
<div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><i> </i><br />One more pop up will come after clicking on Save button and will ask for package, you can select it as local<br />object and save. Then you will be directed to ABAP editor screen.<br />Please enter below mentioned ABAP code to the editor and activate the program. There is functionality<br />provided by program to delete the process chain execution logs depending on the execution date of the<br />process chain. If the date selection is not provided by user on the selection screen, only the latest process<br />chain execution log will remain in the database tables and rest all will be deleted. For more explanations of<br />the statements in the program, please refer to the comments in the blue color.</span></span></span></div>
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<br /></div>
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<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*&---------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* The purpose of this program
is to keep only useful process chain logs*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* and delete other logs in
tables RSPCLOGCHAIN and RSPCPROCESSLOG as *</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* some process chain logs are
not required any more and they *</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* unnecessarily occupy
database space. *</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*&---------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>REPORT Z_DEL_OLD_PROCESSLOG.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* Start of Program</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* DB-Tables</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>TABLES: RSPCLOGCHAIN, "
Cross-Table Log ID / Chain ID</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>RSPCPROCESSLOG. " Logs
for the Chain Runs</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* Variables/Internal Tables</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>DATA: COUNT1 TYPE P,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>COUNT2 LIKE COUNT1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>DATA : LV_RC LIKE SY-SUBRC.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>DATA: tb_chain LIKE RSPCLOGCHAIN
OCCURS 0 WITH HEADER LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* Selection-Screen</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN BEGIN OF
BLOCK b01 WITH FRAME TITLE text-001.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN BEGIN OF
LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN COMMENT 1(31)
text-002 FOR FIELD pa_lat.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>PARAMETERS: pa_lat RADIOBUTTON
GROUP rad1 USER-COMMAND CLICK DEFAULT 'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN END OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN SKIP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN BEGIN OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN COMMENT 1(31)
text-003 FOR FIELD pa_dat.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>PARAMETERS: pa_dat RADIOBUTTON
GROUP rad1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN END OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN BEGIN OF
BLOCK b02 WITH FRAME TITLE text-004.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECT-OPTIONS: so_date FOR
RSPCLOGCHAIN-DATUM MODIF ID ABC OBLIGATORY.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN END OF BLOCK
b02.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>SELECTION-SCREEN END OF BLOCK
b01.</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>* At Selection-Screen</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>AT SELECTION-SCREEN OUTPUT.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>LOOP AT SCREEN.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>IF SCREEN-GROUP1 = 'ABC'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>IF pa_dat = 'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>screen-active = 1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>modify screen.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>ELSE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>screen-active = 0.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>modify screen.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>ENDLOOP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span>*----------------------------------------------------------------------*</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><span style="font-family: "Courier New",Courier,monospace;">* Start-Of-Selection<br />*----------------------------------------------------------------------*<br />START-OF-SELECTION.<br />*take complete data from RSPCLOGCHAIN into internal table tb_chain.<br />select * from RSPCLOGCHAIN into table tb_chain.<br />*sort tb_chain in descending order according to chain_id, datum, zeit<br />* so that latest record for particular chain id should be at top.<br />SORT tb_chain descending by CHAIN_ID DATUM ZEIT.<br />clear tb_chain.<br />LOOP AT tb_chain.<br />*delete latest record from internal table so that it should contain only<br />*those records which we need to delete from both tables.<br />ON CHANGE OF tb_chain-CHAIN_ID.<br />* keep latest records only<br />IF pa_lat = 'X'.<br />delete tb_chain.<br />* delete only those records which meet date range selection option<br />ELSEIF pa_dat = 'X'.<br />delete tb_chain where CHAIN_ID = tb_chain-CHAIN_ID<br />and DATUM NOT IN so_date.<br />ENDIF.<br />ENDON.<br />ENDLOOP.<br />LOOP AT tb_chain.<br />*delete RSPCPROCESSLOG records where log_id is matching with that of tb_chain.<br />DELETE FROM RSPCPROCESSLOG WHERE LOG_ID = tb_chain-log_id.<br />*counter for taking note of how many records are deleted<br />count1 = count1 + SY-DBCNT.<br />CLEAR SY-DBCNT.<br />*delete RSPCLOGCHAIN records where log_id is matching with that of tb_chain.<br />DELETE FROM RSPCLOGCHAIN WHERE LOG_ID = tb_chain-log_id.<br />*counter for taking note of how many records are deleted<br />count2 = count2 + SY-DBCNT.<br />CLEAR SY-DBCNT.<br />ENDLOOP.<br />WRITE: / 'The no. of records deleted from RSPCPROCESSLOG :', count1,<br />/ 'The no. of records deleted from RSPCLOGCHAIN:', count2.<br />*----------------------------------------------------------------------*<br />* End of Program<br />*----------------------------------------------------------------------*</span><br />The text symbols and Selection texts for selection screen should be maintained as well. This can be done<br />as shown in fig-7.</span></span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><img alt="" 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" /> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>Fig-7: Text Elements for program Z_DEL_OLD_PROCESSLOG<br />Then you can enter the description you want for these Text symbols and Selection Texts as shown in fig-8<br />and fig-9.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><img alt="" 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" /> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>Fig-8: Text Symbols for program Z_DEL_OLD_PROCESSLOG</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><img alt="" 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" /> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>Fig-9: Selection Texts for program Z_DEL_OLD_PROCESSLOG</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />Then activate this as well and go back to ABAP editor and again activate our program and click on Direct<br />Processing button or press F8. This will take you to the selection screen of the program as shown in fig-10</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><img alt="" 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" /> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>Fig-10: Selection Screen of program Z_DEL_OLD_PROCESSLOG</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />The radio button ‘Keep Latest Records Only’ will be selected by default as shown in fig-10. If user clicks on<br />execute button or press F8 button, all the old process chain execution logs for each process chain will be<br />deleted except the one with latest date and time.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />If user selects radio button ‘Delete Records for Date Range’, a mandatory input field for date range will<br />appear on the screen as shown in fig-11. Let’s delete the process chain logs older than 1st June, 2008.</span></span></span></div>
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" /> </span></span></span></div>
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<br /></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span>Fig-11: Selection Screen with Date Range of program Z_DEL_OLD_PROCESSLOG</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />After execution of program a message will be displayed on the screen as shown in fig-12 about the number<br />of records deleted from tables RSPCPROCESSLOG and RSPCLOGCHAIN.</span></span></span></div>
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<br /></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><img alt="" 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/> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><i><span>Fig-12: Output of program Z_DEL_OLD_PROCESSLOG with Date Range</span></i></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />This finishes execution of the program and all the unnecessary process chain execution logs are deleted.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />The amount of database space saved will depend on number of records being deleted from these tables<br />which in turn will depend upon the date selection provided by user to run this program.</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span><br />The standard SAP functionality of deleting old process chain logs is not available in BW 3.1. But a<br />functionality of deleting old process chain logs of a particular process chain is available in BI 7.0 in the form<br />of program ‘RSPC_LOG_DELETE’. But by using the above discussed program, logs of only one process chain can be deleted in one go, but if we use above discussed program, we can delete unnecessary logs<br />of all process chains in one go. Another problem with the program ‘RSPC_LOG_DELETE’ is that it can<br />deactivate some steps in the process chain which needs to be reactivated after execution of program.<br />But this standard program ‘RSPC_LOG_DELETE’ can be integrated in our program in BI 7.0 system, so<br />that all the standard checks done by the program ‘RSPC_LOG_DELETE’ would be done by our program.<br />Please find below BI 7.0 system version of above discussed program in order to use standard program<br />‘RSPC_LOG_DELETE’.</span></span></span></div>
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</div>
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* Start of Program</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">REPORT
Z_DEL_OLD_PROCESSLOG.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* DB-Tables</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">TABLES:
rspclogchain, </span><span style="color: blue;">" Cross-Table
Log ID / Chain ID</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">rspcprocesslog. </span><span style="color: blue;">" Logs for the
Chain Runs</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*
Variables/Internal Tables</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">DATA: count1 TYPE
p,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">count2 LIKE
count1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">DATA: lv_rc LIKE
sy-subrc,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_s_logs TYPE
rspclogchain,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_msg TYPE
char255,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_datum TYPE
sy-datum,</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_zeit TYPE
sy-uzeit.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">DATA: tb_chain
LIKE rspclogchain OCCURS 0 WITH HEADER LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* Selection-Screen</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
BEGIN OF BLOCK b01 WITH FRAME TITLE text-001.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
BEGIN OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
COMMENT 1(31) text-002 FOR FIELD pa_lat.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">PARAMETERS: pa_lat
RADIOBUTTON GROUP rad1 USER-COMMAND click DEFAULT 'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
END OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
SKIP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
BEGIN OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
COMMENT 1(31) text-003 FOR FIELD pa_dat.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">PARAMETERS: pa_dat
RADIOBUTTON GROUP rad1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
END OF LINE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
BEGIN OF BLOCK b02 WITH FRAME TITLE text-004.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECT-OPTIONS:
so_date FOR rspclogchain-datum MODIF ID abc OBLIGATORY.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
END OF BLOCK b02.</span></span></span></div>
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;"> </span>
</span></span><style>
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mso-bidi-font-family:"Times New Roman";
mso-bidi-theme-font:minor-bidi;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.25in 1.0in 1.25in;
mso-header-margin:.5in;
mso-footer-margin:.5in;
mso-paper-source:0;}
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{page:WordSection1;}
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</div>
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECTION-SCREEN
END OF BLOCK b01.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">PARAMETERS p_force
TYPE rs_bool AS CHECKBOX.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* At Selection-Screen</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">AT
SELECTION-SCREEN OUTPUT.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">LOOP AT SCREEN.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF screen-group1 =
'ABC'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF pa_dat = 'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">screen-active = 1.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MODIFY SCREEN.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ELSE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">screen-active = 0.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MODIFY SCREEN.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDLOOP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*
Start-Of-Selection</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">START-OF-SELECTION.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*take complete data
from RSPCLOGCHAIN into internal table tb_chain.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SELECT * FROM
rspclogchain INTO CORRESPONDING FIELDS OF TABLE tb_chain.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*sort tb_chain in
descending order according to chain_id,datum,zeit</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* so that latest
record for particular chain id should be at top.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">SORT tb_chain DESCENDING
BY chain_id datum zeit.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">CLEAR tb_chain.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">LOOP AT tb_chain.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*delete latest
record from internal table so that it should contain only</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*those records
which we need to delete from both tables.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ON CHANGE OF
tb_chain-chain_id.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* keep latest
records only</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF pa_lat = 'X'.</span></span></span></div>
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;"> </span>
</span></span><style>
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/* Style Definitions */
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{mso-style-unhide:no;
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</style>
</div>
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">DELETE tb_chain.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* delete only those
records which meet date range selection option</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ELSEIF pa_dat =
'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">DELETE tb_chain
WHERE chain_id = tb_chain-chain_id</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">AND datum NOT IN
so_date.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDON.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDLOOP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">LOOP AT tb_chain
INTO l_s_logs.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">CALL FUNCTION
'RSPC_LOG_DELETE'</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">EXPORTING</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">i_logid =
l_s_logs-log_id</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">i_force = p_force</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">EXCEPTIONS</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">failed = 1</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">no_authority = 2</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">OTHERS = 3.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF sy-subrc = 2.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MESSAGE ID
sy-msgid TYPE sy-msgty NUMBER sy-msgno</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WITH sy-msgv1
sy-msgv2 sy-msgv3 sy-msgv4</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">INTO l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WRITE / l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ELSEIF sy-subrc
<> 0.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF p_force = 'X'.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MESSAGE ID
sy-msgid TYPE sy-msgty NUMBER sy-msgno</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WITH sy-msgv1
sy-msgv2 sy-msgv3 sy-msgv4</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">INTO l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WRITE / l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ELSE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ROLLBACK WORK.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MESSAGE ID
sy-msgid TYPE sy-msgty NUMBER sy-msgno</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WITH sy-msgv1
sy-msgv2 sy-msgv3 sy-msgv4.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ELSE.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">CALL FUNCTION
'RSSM_GET_TIME'</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">EXPORTING</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">i_datum_utc =
l_s_logs-datum</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">i_uzeit_utc =
l_s_logs-zeit</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><style>
<!--
/* Font Definitions */
@font-face
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mso-paper-source:0;}
div.WordSection1
{page:WordSection1;}
-->
</style>
<br />
<div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IMPORTING</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">e_datum_loc =
l_datum</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">e_uzeit_loc =
l_zeit</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">EXCEPTIONS</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">failed = 1</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">OTHERS = 2.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">IF sy-subrc
<> 0.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_datum =
l_s_logs-datum.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">l_zeit =
l_s_logs-zeit.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">MESSAGE s129(rspc)
WITH l_s_logs-log_id l_datum l_zeit INTO l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">WRITE / l_msg.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDIF.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: black;">ENDLOOP.</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">* End of Program</span></span></span></div>
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;">
</span></span><div class="MsoNormal">
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">*----------------------------------------------------------------------*</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><div class="MsoNormal">
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;"><span style="color: black;">Generally this
program should be used in 3 months to delete 3 months before old logs of
process chains, as these logs won’t be required normally.</span></span></span></div>
<span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">
</span></span><br />
<div class="MsoNormal">
<br /></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-67380010810143959232013-07-02T08:29:00.003-07:002014-12-06T07:19:10.794-08:00Transporting SAP BI/BW Objects<div dir="ltr" style="text-align: left;" trbidi="on">
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><style>
<!--
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mso-font-signature:-536859905 -1073711037 9 0 511 0;}
@font-face
{font-family:"MS 明朝";
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mso-font-pitch:variable;
mso-font-signature:1 134676480 16 0 131072 0;}
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{font-family:"Cambria Math";
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</style><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="color: #215a8d; font-size: 11.5pt;">Transport </span></b></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">A SAP transport is a package
used to transfer data from one SAP installation to another. This data can be a
simple printer driver or a whole SAP client. </span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Use </span></b></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">The SAP transports are used to
implement some new features in a production system. As the production system
cannot be used for development and testing, the implementation process is
divided into several phases: </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">1. A development and a testing
installation is created using backups from the production system </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">2. The new features are
implemented into the development installation </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">3. This is imported into the
testing or quality system using a transport </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">4. After the new features are
fully tested, it is imported into the production system using another transport
</span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Despite this fact the transport
system is the most convenient and effective way of implementing new features
into a production system with a minimal downtime. </span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: small;"><b><span style="color: #215a8d;">Construction </span></b></span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">An SAP transport consists of several
files. These files are usually located in 5 separate folders within the OS: </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Data files - Contains the
transport data, i.e. the actual data to be transported. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Cofiles - Contains information
on change requests, i.e. different steps of a change request and their exit
codes. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Profile files - It contains
profile parameter. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Transport log - Logs, trace
files, and statistics. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">Support packs - Contains update
and enhancement related files. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">The main drawback of the
transport is that the changes once made cannot be undone, i.e. if an import
goes wrong, another transport that corrects the original change must follow or
in some cases a full system restore might be required.</span></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">
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</span></span></div>
<div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="color: #215a8d; font-size: 11.5pt;">Collecting
Objects in transports </span></b></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">In order to have an error free
release to another system the first step is to identify the related objects /
dependencies in each transport. </span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">The respective Transports
should have the following objects: </span></span></div>
<div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Base Objects </span></b><span style="font-size: 10.0pt;"></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">a. Info Area </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">b. Info object catalogs </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">c. Info Objects </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Info Providers </span></b><span style="font-size: 10.0pt;"></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">a. Info Cubes </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">b. Multi Providers </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">c. Info Sets </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">d. Data Store Objects </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">e. Info Cube Aggregates </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Transfer Rules </span></b><span style="font-size: 10.0pt;"></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">a. Application Components </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">b. Communication Structure </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">c. Data Source replica </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">d. Info Packages </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">e. Transfer Rules </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">f. Transformations </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">g. Info Source Transaction data
</span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">h. Transfer Structure </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">i. Data sources (Active
version) </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">j. Routines & BW Formulas
used in the Transfer routines </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">k. Extract Structures </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">l. If the transfer structures
and related objects are being transferred without preceding Base Objects
transport (e.g. while fixing an error) it is safer to transport the related
InfoObjects as well. </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Update Rules </span></b><span style="font-size: 10.0pt;"></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">a. Update rules </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">b. Routines and formulas used
in Update rules </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">c. DTPs </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Process Chains </span></b><span style="font-size: 10.0pt;"></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">a. Process Chains </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">b. Process Chain Starter </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">c. Process Variants </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">d. Event – Administration
Chains </span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="Default">
<br /></div>
<span style="font-family: Arial,Helvetica,sans-serif;">
</span><div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">Report Objects</span></b></span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span style="font-size: 10.0pt;">
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</span></b></span></div>
<div class="Default">
<span style="font-size: 10.0pt;">a. Reports </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">b. Report Objects </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">c. Web Templates </span></div>
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<br /></div>
<div class="Default">
<b><span style="color: #215a8d; font-size: 11.5pt;">Transport
Sequence </span></b></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">The Transports sequence to the
QC/Production assuming the corresponding objects as mentioned above are
captured in these transports is give below: </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">1. Base Objects </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">2. Info Providers </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">3. Transfer Rules </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">4. Update Rules </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">5. Process Chains </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">6. Report Objects </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">7. User exits in any order </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<b><span style="color: #215a8d; font-size: 11.5pt;">Transport
Landscape & Strategy </span></b></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">A typical system landscape
consists of a development system, a consolidation system, and a productive
system. Transport is done either between source systems (O1, O2, and O3) or
between BI systems (B1, B2, and B3). However, BI and source systems can
actually be the same systems (Myself system). The communication between the
source systems and the BI systems takes place when the metadata is replicated
and the data is loaded using an RFC (Remote Function Call). </span></div>
<div class="Default">
<br /></div>
<div class="Default">
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GgcaBxoHGgcWO8c4Ps4VeLv5N1s177IlneWzLE8evOGtwyksAKOo3ha4kaNA40DjQONA40DjQONA7PEgdqZ2Z5xxcfRTh65cZQ8VeNApf0Hzpm2p5dWp3GgcaBxoHGgcaBxoHFgjjnQHKU5Fm6bWuNA40DjQONA40DjwOo4MPhcLUdPq+um1W4caBxoHGgcaBxoHGgcWH8caCdK609mbcSNA40DjQONA40DjQNrxIF2orRGjG7dNA40DjQONA40DjQO7DgOrNW38tuJ0o6TWWupcaBxoHGgcaBxoHFgzjjQHKU5E2ibTuNA40DjQONA40DjwI7jQHOUdhwvW0uNA40DjQONA40DjQNrxAG//5gfx+53uSO/iNYcpT53233jQONA40DjQONA40DjwPc40BylBoXGgcaBxoHGgcaBxoHGgREcaI7SCMa05MaBxoHGgcaBxoHGgcaB5ig1DDQONA40DjQONA40DjQOjOBAc5RGMKYlNw40DjQONA40DjQONA40R6lhoHGgcaBxoHGgcaBxoHFgBAeaozSCMS25caBxoHGgcaBxoHGgcWDwL0wai+abAw972MPKBP3mxHK/R/HQhzZfepII+O53v9s9/OEP7/D/O9/5Tucn+R/xiEeULr/97W93kc8kxzDNts0XD1D4YN7S3TeaLAeGfmsG/shHObqAXFynnvt5JvP/5je/2T3ykY8saxE2s2bnfe6zIld2acOGDcU+0ZFkAYvf+MY3Snp/nJFLsNrP35775ihtD9fmqE6MEoUgACUwImB032hyHKAAQhY2fn/rW9/aYpSSN68xjOFBbXjh0A/J4UNzlqYr+eiH2kmKTpA272SuQnQinMJrMBrczjsfpjk/jindSBeQBcd1RzpBK5nbA1p6JaVbmbnjAGXHKCGL332UopON7PbnbuIzNCGLH8/x2zV5UARxXGdoqDt8KOYbMm98sGNkgKIgk9/iHc8BOBtHZMAxIBcyIS/xUL1xba6nPGuQgc78jT0nvngjvdHkOID/tTNKFtGPj3rUo9bMPjVHaXIyXhctW/R27nGILHzKkCKM0V4XE1mng8TvKNwcKYf363RK2zRsO/WcqmXXroE47cHlNjXaCq+YA0MOD/2gDGPFQIlhNhidd0ch+Mt83Qeb9GacphUzvBXcJg7AF37TDXgfp10jQ9jdpo4GCjdHaYBBi5ANcFF+9bGyY/cYsUXgwzTmiL/4TwnkMQdjVO+ipjGuteoT7sIDcXaLYo46JdlochwYcnSSz1CRSeQFnzCb/MmNcPotW5/Rg1mX5u10o+FzsvKBOXxGHNPoCroS/taKmqO0Vpye0X6+9rWvdY4w7YxykhTHyZCjIGZ0+Ot+WBQBHgvZNVG+UQjy55ngLgqPQgzeaqM8z/Of9bnBJDzSCXUw7jgNsz6H1YwPJvGAboxzhA+I3mw0WQ54YbvWC+E9edAdZLMW1BylteDyDPdB2VGEjNWtt97a3XfffeU+CmKGhz4XQ7NL2nPPPbtdd921KITIg0zm3UmKAO+4447urrvuKobY40dKUMCDRTDG4cM04iH+7rHHHt33fd/3dY9+9KPL8GCSbNAinCbdfffdHXwy2OFB1igehBeuG+14Djg5wncxfUA//Od//mdJO+yww4rO2PG9PrjF5ig9mCcLlZLFD3wXXXRRd+mllxYv3W5pSIkuFKMmNFm7omc961nd4x//+GKQ7Jjw3U6JE0UxzDNx0G+66abuggsu6L7yla8UZcgY40FOOed5/tOe29Aaf93rXldOTugJp30cg5z2LYKjdP7553dXX31196UvfakYZzyoNzCLwINpYjQbxq9//euF/zbwNvMceDpzn332WZPhFUfJYhEsgnjIWUCJ12Q0rZM150BkbtfIMJG3ax58HoP0MVAfwbumLBj1//qv/+p23333svtSX9uPe9zjitH3lU7lHvOYx5R7+ZwAgVOQHZs29K+utiklZdznMaHxcOQ4dxaOPvQvqKO8fOWzC8lXSvVlHBaZBWfOj33sY7v//u//Lm1pL4tSOf2qI/7+7//+7otf/GL3Qz/0Q+UETrrxaUM9/YkRB0C7xjSO5IfnOWaOIjYH/c4z4R1ZkI/54hujbN74EgyO4gGewYuy+O/6f/7nf7of/MEf7O69997SljyyFDhjT3nKU7r/+I//2CIjmDMO/dc712BYuvEZG3wZk/JwIs34UWQpTzn5P/zDP1xOy7RhHPAII8ZinO4F+V/96ldLDNfmEexrR746ygTf6isDZ/LNX3BtDPLlrYbCU3Mzbv2JYd+4zWk9k/GTlYAyH3PD7x/4gR8ouuGJT3ximbM0ASkztD6VgZHIXj946F47sKQNaTDpdBmv4RQGEN3kGs+RfDoPbmFPm5GTdmE1/WZ80aGwAdfagA3XxqD/BDoafr785S935k1P6k+b+lRee8avfW1Ys/rOWtK2tansakj78JZ56mPnnXcu49dn5Fb3ocyOpvbdxh3N0QVrzyKxkCyMjRs3FueFMqdgpFnkgusnPOEJZUGrYzFamIxA7gGcYUFRINLkZ2FbGBZsDKR7i9Ni4shQKOpSNOoyOuq7tuiyoOXHwGmLAkFpiyJgaJA6lJS+zEF5c9SnNs0jhsPYBP2ZW6PJcoDTc+ONNxbFTpkzSoyGmKwo/MgHJgUGgGxcK6sc3ER25As3ZKgu/DIKMKwObEiDC/dwEeNkttoM1m6++eaCS+OAN7iHK+W1o02xEwtjVm+XXXYp6XCsf3XkGbOy+oNpeOcQ6i/1rR99CTvttNNkmd9a324OkKEQfJGjUxJypFvInM4jW84KubuHD3mwCu8wQXfBqnrStaksvMEQLMCPPGWkwTOdJcAi0o86dCOMWhM2hsamDboRXr0mYDzWgHblaVdb1qM1YQ0pMy/UHKV5keSU5uEEycK1uCy4GBSK3CKWT3m7jxNCwVtcMUwWVBasOspSEEgZDkm9e5GuHOVgYcuLorBgKRNkUe+///7lWn8CBUJRaNMiV5fCESguysF49E9BMJjKazNKSjlp+qRc9KMt99pHeCI0miwH4G7jkoMOM5QzGZMbJQ6PjAbFTS633HJLSVdGGgyROyyQM4fftRNDzlMcqDjR+opB0B/5wkSMCVwg9WFdHmflSU96Urk3JsTBgjvj0CbcqGunrI4+GEzjgyuxOrCmnLWif/3qxzj0I095bQryGk2XA2SLgo3cS4MB+ovMYY+clSNn8obd6BbOPb2kvHTydQ3r7muCKzoWFuip6CrYtg6MwbUY/uEnmFNHu9KMh1NkbcAuXKPbb7+9lDc2ayNB3Xvuuae800V/Gse80OrOxeaFC20e282B66+/vihpC5ChsgAtXAvLIrPbt8tAFqNFZRHJt5gpfc5JdjCMGyPmnqGiECgP9dShRBgJisTC1Kc8SodCQK4pFXX1ZWzKqMfxsoD1I00dBse4hSgV+YjC0JY2KQzkmvMX5aIOZSfNuPVjXgKl02hyHCBjzvg111xTcOgebsgN/8mfXGM8yJKMYAeRKfwxOMrDCpyRp5gxkRfskLW6cMR4uYdF19KV05dTIRiS7h7WBONhYDwWjDOmDWPUp/61E6dIG8YsHd5gT9/qGBdjZr2JleGUKWPcwfDkuN9a3h4OkA0ZCfABK3Rc8MbBhRP6UxrckDl5kjXcqOsLELAHz5wYuFIXFujWzZs3F4zAk/LagCX5ccDUhbXoKfoUDjlQsOxFduPQhrHo33hS3z2n3jiMyz39bT7B/vbwaNbqNEdp1iSyzsbzEz/xE8XQWIgWiQVid3TllVd2N9xwQ1mEFiYjREFYfBaaBausdIFhQ9IYL3UoC+kWP2Om3qGHHtr967/+a1mYFjQDY5F6vu8aqceIUAyUiRf+jI8RjQLQvvaMR5925MpTLtqhPIwLURD6V5exokwoDvNUTtvKcpQYK9cUCWPmvtHkOEDOnPWnP/3p3Y/92I+V3S7ZkMHnP//5giO9wwhcwYz8yIfcpcMmPKhH1vBJ7sqTozLBF4PFGEhXZuPSiZYNwfHHH1/6u+yyywpOL7zwwuLE2WUrC2faOProo7tzzz13y5jkwRCjZVyCd1W8SMwAuuZYwZt7+HbNARPU07Y2GC0GClYZS1htNF0OkA0Sw1Ou6ZtXvvKVRQfBHFyRLT3lBfLbbrut6BTypAc5IvQPfQirMC2GVZiBA/oGvjnMu+22W/e5z32uYE9fwT0sKR/M6FeIs2UtWFcwpv299tqrjEX72jUGY4JbOt/Yo1+tH+MJNstk5+CjOUpzIMRpToGhee9731sWjnFwHDgzDJeTGouGs2LhUdwWvzT1LDaLzMKjBBgdhsSitcjFFASnhsLniFi0J598cjml0o7FS7lECRiDejGK++23XxkHh8iuidFiRLRz3XXXbbn2zSvj8J4AoowoHbspj2woDGOgcLSlz+ycKAdp7rUvjwKJ81cabB8T4UBkdtxxx3X/8i//0nFS8P5HfuRHupe97GXF2bj88ssLrih2MpFPZonhi/wYiMhSjKTBKbnDKkzAgboMDQzaEMQAaseYrrjiiuK0xDGHn5A0mPKoTT+wb93oJ868UzLXjOG1115bDI8+vPMEZ4yadaUtY1DOGogxY7isgbrf9N/iteMA/KA4S+6FOCkcij//8z8vaTBGRz372c/unve853X/8A//UPABI7BLtnAHFxwWMocZMVnTWU972tOK/oMFfUSXquNeWZiBD1iGfXrZNd0Fu9qwueRkiW045NG/YviHXX1qR306zzi1DafRj/qfB2qO0jxIcYpzsIO187DrtZgtIs7Q3nvvXZwji/fwww/vnvrUpxaFTtHbfVPunClGzOK3sC1Kux3ODUfKwqMI7H60GSfFYmYspD//+c8vBkl9C5syYCQpIAvbSRPlsHnppEj7ORWgDDYunQR4ZGOHv++++xZjyblzGma8gvLmQknZ5SnHSBnzk5/85JLGOBrbc5/73GL0Lr744i1KbYqiWYiuORjPec5zuk984hPd6aef3h1yyCEFFxyRf//3fy/XZHrMMccUXMGMxwnkDl9w5vdYYjzImbPFaT/ggAO6o446quAVtqXDkzT9cpzIHjYZEHXlc3xgjQExDj//AIuwBM+MoXqc9Wc+85klLYbTKZS1BMPa4szDL0MG43BvvAylteW3z2CbYbJBMSe4ZhitNXNvNHsciLzJiT4jUzoF7sjMRhFOX/rSlxaZk+/ZZ59ddCndCXv0LuzBHdxLo5PgwvVnPvOZMnE6C67oKDhyD4epB4ccauNQjhNkvShz1VVXlfIwbXzaVV4b1hDswbh1dPzSiSq9y3nSlvx5ofYy97xIckrzyA7FLsICteAYDYFS936ShXfGGWd0H/nIR8oJjResYygoduXUZ4A4Xtq45JJLykJ3AnDggQcWY6EO48FIUSwM2SmnnFIevRx00EGlHwbk4IMPLsbtb//2b4uh+dEf/dFiqCz0I488sizsv/u7vysOz6te9aruzDPPLAqCcVOG0eTcecT3T//0T2Vs5kFBcZrs9v3elDaMwRjt7hm1PHK026IMG02WA/Dg1M+jLLKlsDnrsOIkBu7IiEP96U9/uvvwhz9c5HfssccWQwFznKdzzjmnBM4No0PGHPZ3v/vdBYdOGhkLTg4nG75hw0mk0yzj0Ddscva1z7GGS+P71Kc+VXDG2dEOg6MsY/Lxj3+8jN89jGkb/v2uGafbGDlZd955Z2nXicS73vWusjHgUBmzNcZQMajW2Re+8IXuBS94wWSZ31pfEQfogVG6wIkL2dKDcEOXcGY4KfLIniNy2mmnFf1KF5ItvNObMK887HDmP/rRjxbs0FPyOS4cG5RTJHpOP3QuXcmhsk448894xjNKWdi18RRbD4gTZ1PJOXIKZswcfQ6YcdLJxmnDYv1wpuaFmqM0L5Kc0DxyTFwvdmlImsVM8VuEnAz3jAmygOyO/+3f/q0sYs6G90nEdhwWmoVuB2WhyaM0GBE7JcrfrspjO4EB1I8yDND73ve+ojyys8rjCjslj2EoDqdX+tq4tMsW2yFxZjgydnOf/OQny9GycSsrtjP3OEU+5cEBFOvbnCkVu3XpDJ1+jNOv+JqL+ZujcTSaLAfwmoFhEDjtvpHD8XFNlowFQ8GJ5XjAHCNDPnDEWHCUyY884Y7c4QP+KHsniHDihIrDpBzHB544Y/oyDg4O0q72pHG24F+eTYBxMDhwxBn653/+57JGYA7urSFtcqhgjPNlHtacTYCTBrg3XwYU3rLb56x/7GMfK49TrAltwKS+OGDa1g68SnNdh0hKXkLSFiEOLzJXPFgtpU1xTeHvxiW99IY3vKE4HD/7sz9bTqWdtH/oQx8quIMZMuX4n3TSSUUvwRMMcmToJbjhGHklgYw5WbDumqxhniNvA0qHwh/8wDY8wjbHyYkV/chxors5ZManvHUCf7D4j//4j6VNug/2jQHW/uZv/qY46h7nffazny19GIu68GfOyiG6VPoQhU+j4qH6Oyq/PXrbUZxc0HYs0jySYkTsei1CBsp7Gh5f/cIv/EIxQBYZ48MAyLM72rRpU/lVZgbgj/7oj4rScP3CF76w7JQpGErfc3JtOVq28BkeeRwx/Vm0ToEoFouTIyVfWxQK42dRR0HYhVmoFALDihglzhrF4HEOBaB8+mOU7NgZQoZWeQqAkqGE7OwpNAoqRtp9o8lxgIzJEvbI3ekNmXEaYI1sfauIEwyrFD8niHNFzgwO+SlLhjCSHb3HEC960YvK4MkUpp02ahvZacMLw8UZk+ceJil2RkmbcMNgwYw0fct379EKjFgT2oUtuEIcbZiXrw3jgj/zsHHgIHkcCOPmxznTpqAdThKCc3xC+m20thzA+5rv9TX8cSo41RwMMqRv1KF/yNxpUTDBsdm4hGEyRzAPx+rCMbzTdfrgyCM6SsgGgs6DQfqXHnUiCnvwq2+4UtcGAX4Rx4Yzz7HnYDmV0jdcevzLuYMza8/mgFMFv5mr+YzjQ+lkhj+aozTDwlkPQwN+BsQitDA4NRZRDIR8jzsYEMrAAlTWEa/3kyxW1xabxW7nwyjZ9VuEFrLHJhag9rVjoVvMFmSMBwO5eelIWDmGxCKmTOy6OT0WuHSGRh4lxABpy0mUdvSfxUzZvPOd7yz9UEAWPCfM2PXB4Hnsol/XaSs7OMaY4mk0WQ4wNDDnG292wmTESeXwcGTImhNNZpwp8idLij+yNkIGguzgwDVHQ5k/+ZM/KXLk0J944onlcesJJ5xQjIiTSRjTrl22xxicZcZMf+qLYYQhghPt6gfuvAfyl3/5l8XAGJN0+M+1tmEettRjMK0NTp15Oz17zWteUzYn6mgTxu3a3RuLOTJgApKOpNfzL4ntY2IcCK/xP7wnE06OR/xOhKSTtUCHRn/ANGcfpmGJk0M3wkQ2A3DNeVYXhl3TW9LhQaA74UcbNo90lDEoT19zjLwWYYNgnNJhVuzeOKwD68yGWF1OuT45YsYL7+YUJynzrfEnLWFiDN/BDTdHaQczdNGas5AYCAvRIrEDt2A8uhI4Ri95yUvKuxYWj2faFqkdsMUp9tjtHe94R9mVWMxeivZIziKnQCxKToxFyRDoh+HxkqyjYgbix3/8x7v3v//9pQ4DyYBY0N5P4Wxxyn7yJ3+y7HQoC4ub06MdC9tCplgE/R1xxBHdr//6rxflwhBSKnbo+soxNsVCeckzF4ufgmO4pTWaPAcoaM6wbwlxTMiZLJwoktvv//7vFwy8/vWvLy98k4t3KeDJ7p0zoR5MqIdgI0YD3uABdmGVcwRHcO7eTp9RyokmI8TQGJe6vuIP/3l37fil94gYPY/XOPuwzuhZQ9YGx4kTZCywKLbBgDNrDfa8lwRr6unfO0lwrixjBqOcPfXNjQGuDZU5Sms0eQ6QUxyjmueRCdnSl3GqYYmjzwkiXzKERbL3XqTHc8hGDpak0YGcbjoP/skenjzadU0H05UIzm0M6VDrxommMcAcDHm8rG/1nJK6NgbOknf8fud3fqeMhVMv34mmssZj3SirPxg0LzEy375zFN6UAjP+8bC3vOUtf8igmZQFnAVFcK5NptH8ciDyBWROil2qxWFBwQBKmZoL0gS7XgvZI7Gc0px11lnFMHBynBRpz24cxhwzW4wWKkNBsSMLXjsWG4XveJehsUC9NEtpMBYWIiPDuWEkNi4dQ1u0XqymMBwPW7SMm5dZGcYPfOADBdsWNkXCiJmv8TCA7hlM88EDfXH8jJ/hs/C97MuwUmROKeRTLsbI2YrjpQ2Okvzwr+Zb/9oaMy4OljoUi7Eh9XPdrzcv9+ZLVk5hEH7UPMDPcQQTm5dOEuHWcf/GJTzgJ9z9xV/8RXGG1dcOXtoxMyDe+8hLqt5LQhxnPLdjh0sY9eI2zDEGf//3f1/kDzOw44SHrL3joay14BGa8cOkE0extnLK6j0QGwDYYfyM1UaBc+URHhxGBzNuHjnri1MWY2Sc5q1t70rhndNVbSpnLcqDSXNTNvM3NmR9o5q/uU4s34kvu6C8uomNcSX41sask/nWc3ZtbgIZso90hDnX5eQPrU/lU8916ucaP+kyMkIwIS96EMa8bwm3+qKD6EdODRw7yfR4Fja0tXEJ/3BAX2mDTrEpoMc4RLAIL0IwArfwYyPoZXB6mO6T7rUKOo5ThWDXEwRYoCd925TeVwb2rBV5xo1v1o37GivhQWlwBR/hc+q5d+1VC/2uhvA0Y3NtrOTlmq3gcJL9Q5YS/5831SkZHWMswkSTzOBWM5hWd3Y5EPkCh2/f+Bd3YLfIgAZgUsYs3CPgEjgyFq/yFDolDkMWpQUFQ5Q1Q+Jkh9JlDNxrn9FRFxiRxS7o06KmQIyNMmCU1LOrNg55+pevDQuWI+N3SLzwKo1SoUQAXpt29pSGsapLAVAIxkIJwP2eS++YGLN56IvikIcvnDOG3Rw4etI5Y8YlXxzjJN/YxhH+OFXw6IiSjJOqThbtuPrrPQ+/vHjKGUZ4jgf41sfecnNVntw5SmTHaVWPfGFQW2Qmn6zoOTjUL2UOA8Gfesprk0zVhzlj0Qc8Mlhx2oM97XGonARwsuCLLPOeGozDCxzKt6PXFpypS8768xhF/3HEzMU4jVl5RgGGrQ/Gz7gYWSet1o809QXlYIuTbx5IPXnIHK1fcw6pgxK7dnrGLuCRuuYs1rZxr3cKxszZde7NTfDFDc4AHppzzTP5Q+tbu/iOwi91pMOrTZc2yTn8pTfIjf6ka+gw+XDhGpacYJKhDSXZkAvdBzPpy3hhH3aCOdjVlvnQ1daEdoxp89KGg56EX7iyZqQ7mYXdbBLpOXjVLsxyzI2Bo6WuOVlbdCvdad7miGq8lYSBD+XD58jIvevXve51RXcPNDE22/zIQT9ZH/jm+oMf/GD3Mz/zM2XdtUdvY9nYMoc4YAHYjVDUDANlbQECn52N2EIDbgvcAopzoZw0SiE7KotWuoW4cWl3BMAWoYUqj6KgSJSXJ1jUjIgx6M+YLHovKaqrfztDDpFdulMjC017HtFQMsanDePPbp9Tx+Bqz5goCIuIklHfmCg3ZfTNOFpg5iTfGM210eQ4gN94TO74TplLg8XILSeAjEqMDeeC/BgNclKf7BEcwBmCAc4SHHEYGBp9wIs+1PeOnT5hlmHQr3xGiiKG74zFSQBs6APOUgaOtKU8PGXXblzSlId7fcKt9mHOeuLEccCMkVPlNM2c9KmMssZnraCsG+NIWsloHzucA3iMwmf3SYtcyYacgzn59Aynh64hd04J3MES+bvmoNBd6sO+OmLyFshfH7Ckf2l0obrutQl/MOs0yLugNobWEwfNpkB/xkP30bMcI2uAPuToGwvcyzNW7Wb8xmdMoXreKZe0lJnV+H43b1ZH18Y18xwAeAuS0aHELRaLk3GirCl/6XGapLun3C1c9RgBC42jgRgmC0jQvsXPCFic6li84uza9WMhMzZ2MY6dOW/aVE85R8mMpEcjiFJiRCgafSDjVke/FIi6xq9MSN/qCcrFGKmLtBXjp2yjyXIgpy0wQhZOaMg5Ti28wQWHRzqZUvaMBPkxUPBYO7TwEgNklxzHnPFIeXWlMzo5rYJj8odN+CJ/7Xi8BhP6Uc8YlYNnfRm38cKaoI/0zwgyRsGq8vKVc42yc5dunWlL22lL+6Fg3b2xNJoOB8hBoLvImozIGg7hFK4EegWOyBaulCd3eIdh1+pLVw8GEQcFbrQLi3ChjMCxgWs44RhxrGFFO/rhCHGS6GGYRdaQ8Rof3Q2P2pAvSOOQaVsfykrXfx9nmbt4vdBWJ0r1BAhIqBfZeplUG+fKOdAHK1DXod9SQK+ehW3xWhBi5BpZnNlNqJOFFjxFyVtwFp/yCOZyrX11KQBp8ix+OyC7LYZKfUoAuWYILX7X+kTqUTaUgfbkaVNbGbdrgQKiMELmoB4y5owja0OdUPrjbFEWO4L68tkRbc5SG9E5xpS5kpGwEqKYGYfILIaCrCh9FNm6JiMYjazIN+XkI+OAi4wNpqLwjYtsyZgzEswYB8PDIeJQwYdrbTA4dvLS9GeM2ufEaSPrpMaSPjOujMV6gF3tINfI5iQbE3nqqY+MO+1LD4+1qexyfE6Z0sD3PqQpL67z6+u6/Hq5rsdfz62+Xs1c8Cw6r24T393DKdyQreA0EUU/klP0YHRrZEeedBP5cm44Ku45zpxzGNW/8sagHXoQLvVvzVgH8KM/7bi3kdCGE3inrMFPdJqy6sOu9o05bZsLcp9xloSlD/NF4Ue5WScfD2w11smA2zAXiwMWKcPCKFjklIXFSylwWpxIWbgWq8Xt8QpnR/ks1CzQmnMWutCocWAcB2CJMWBUYAym4DBOitMhDo53QGDVI968uM2Zj9Psca9dN6wycJwnBqtR48BqOGDDx7mhI+GUwx7nGx7pPumu4c0plXdKnUbZcKrnmoMF43AJ205gtdXofg5sdaLUmNI4MGscYIQ4RmKGxlejGR+PXBgsC90L6JuX3kmiBMTe27DQKQfHw6OcouYozZq0Z288HHMOOQeJMXH6aWftXTf44yApIzAyvpHJKZLum552zwyPbwD5kVVtMV4cMG01ahxYDQdgEcboOniCUe8a0YHIu2veJeLA+xkJehM2fTmGo8Q58u2uYBE+6VrpTT8+IJl2ovQAL9rVDHKAQXGMayHb0XOW/A6TH2nzjRRfn371q19dDA/lYKE7dn7jG99YTp3UtaNC9cJ3vR6PgGdQRHM9JA6QEyB4YTw80oJJGPNukp/C8PVt73n47S1GSHm/neQ3ZvwUhpOl5yz96CnDxGlyCsDxYpAaNQ6shgPw6JQSnryK4DQJPv1HoJ+z8LMr+XmBX/7lXy6OlB9M5TD5L0yPbH1JAb45WTaecJ53R1cztnmq2xyleZLmHM7F6RGHJjtx934vyUvZFjlHydfLvaztv4l8zd7CpxzssmonKY6SHf1yj+PmkH1tSqvkgPc3ONuMEceGQWJIOD9+0sDjCel+WNLPQnhHg6FioPzOjXKceo+FGTJ1xZylvPOxyiG26gvMAfiky+ATtnL67r1NTpR7Dr1/OqBDnbDTn7/5m79Z8uhO6RwjDj5c0pkw2nTkA8BqjtIDvGhXM8gBTpKTJLHFzCjZtft6t5cN7eydJPkhS84SB+q3fuu3ipGyQ7LoLfg4SaboPmEGp9yGNEMcgBuP2BgRBgUOGR8GikMOXx7zbty4seDQyZLTTz8E6J0QjzicgsIbbDJmrrXltKpR48BqOABrMOokyWmQ95U4TTDm2skR7Pp9I7+9pLxHxP75wK/ZO12y+eTkwzb9KsA3rDa6nwPtHaWGhJnmgN08g+J0iMHxtX+nRpSCPLt3isBLtciC9x6Tv4Owo0cUSUJOmKRTJtIbNQ6M4oBdOZwxHLAjOAliePxthBg+vR/HYffr2hz2Y489tnz7jXGCRcThglcvzyrfsDeK6y19pRzgcMNnTpOcaMKkPxXPYzmPfTcuOfJ+qV6cH9HlEPmtI9+Yk87BgnP1OFSwznlqtPQD3I0JjQOzzAELn0HhDFm0HmF4L8Tpkm++SbMz8h9IXqSVzhDZJdnRe/TRJw4Sao5SnzPtvs+BPB6DQY/ZvGMEk3mk5nSJ8+NRh/9/e9vb3lYeyeXX6v1Nipdp/+qv/qrUhUm7fI9DOEtt197neLvfFg5wbjhLHglzmBBs2jB6l9NpPEfej6L6X7czzzyzPH6DW39P4pGxdzz9AvvJJ59cdKbTKVjXbqP7OTDoKMWoNIbNJwcsIs+j7SLIut41y5v2rtdJEmeIcTJGuyAOkT82dS947GYH5f+7PAYxH2NH2RVFkbh3JG1e2p42cQCNh5ITm49HhlGAi7L+zFMgJzwhG07EtJU1nMAMPGX37mTIODnk+dV5+d6R80K3l7g9cmOc4NUf3XKK/D4NOTNSZCxv1nfsxihwEMmDbGDU/NfD+IfWN8xFx/VjdaWZe9YhXOIBZ8LJTBzpoX62Nz9jGlXfWGCIbGDKRpFzxFmSJ3Dk6Ug6E/6ccDr5JEN61XtL9Ttzygj6Huo/fBk1vtWmRxcah/UXnS/d+NeKBh2ltRpI62c6HLBQEGMAfILrWXAijMti4DQYk0XPmfC3I3bljocpCX8q6uvXjo2j2H3DyIveIfWzqPtxykwjNje8rsdnTgJlNe9EAZKH+SPyQ+7Jfto4zLg86nUdA8JJgkfrBQ69K+fkyD+sc4oYJfn+MJfj7n0mDpIfo4yjrr3Mt0x6Bj84CcGiuZOJ+yEDOoNTGRxSXy+4z9pU2bylkVl4MdjoKgsM4QP26HCYEsep48Dl3U6PhL2ywHlyIu+Pw50g0Y8evZGln7Tg+JGvdjglgk3BNAn/jc9ayemrudb3azG+5iitBZdnuA8eusVoRwyUrikDCwZAgXKaZEFQUBYtA2Tx+30aTlEUuMX/nve8pxgr+ZSHRW/XZ/zKJZiLa3OL0p/m/PRtHAL+xzkyvkUheDNfTkcckWBvyFBMmkcMjm9XerQGUxymfJHgta99bcEhbBq3bxD5Y2kvynLm/XbNz//8z5e5wRwnqp5P5jjpOaymfbhE1iE5hYxdmDcKFsW5ju5IzGDjB7lPmoZ4DItOg2y4vKQNn8g7cvQlnWIe1113XXf22WcXHDvxhM9NmzaV0yTOu7qwzkkic04+TA/pf21PkoyfHo+d4ggam3TyWCtqjtJacXpG+7EoLBCgA0DB4mC0LNJp7yiinBgYhsezd0aLcsjxtx27d0G8xGjhWuwXXnhhKUNxxPmz8OVnced+mqIxvzhz+G1MAiKbXE9zjJPsm2w46YyP+ZINI5R5u54medfNuJxgMoyuGZa//uu/Lo/ejN8aMU6GieEiz/e+971lB++xh7mQLWNmd68N5a0xabNM5hdZxDAZu+vMY5bHPzS25RyRWkeo756hRvQjnrjHg/CmZE7gY7nx1d1wcMiDDuQ8GNvpp59e3oEzRvXh1rX44IMPLrh10unbw17khkGYhU3kXjvWJYxOk4zf/IxHwHNzwXf4WytqjtJacXpG+wE+BICMFaXPcQLOLK5pDt147CIsWGP0+MKCliZ2skSR+akA33yzgDhH5sC4caooN3UtLGWjfNxLnyZx+Cgk4zIeY3VtHpTXvJP5cmyjkM0dkZEwbfmQCcPhUZv3P2CLXKyb/H8bLAqwJs87H9aSb8XZycOoeQrqO/GEY4Zr2vMbwleMkrHjBYrBMld6Yh4ouKtj13AJn5wQcyVnMV4Ik5bfEH+NDT6NL5sN8oBNeeTmxezMhb5x6i7Ql2TImYdR85GP6M9JO4Glo4EP/M848B5FN5rfWlFzlNaK0zPaTxaYRcYwAaPFY2EBJIU+TTIeYzEOi96YoqA4Ud5FsivyjF1ZL8xSABSBRyXKU/ZxjjIXbaJ+evLXKqagKEPKjlIQKF9pQ0pyrcY4yX7IkKMYHsAhOZMLgzxtHsCU8RgHx8baMK6MGY44Pk43nTTBIwdeeY84fLlAHgPkER45k2/agc1ZJuPsrxFznrZcJsGz6IS07Z5uoXvoETJHkVnWacpPIzaGjC1rJuO0lmAVhqMHxeqYQ3SNe2UFdeFcW9G54+bVx8a4stuTB3/WF51vXMZtvPql552krQU1R2ktuDzDfdhNWEx2EF7y85X7OCQWlcU0TbIgogg4PxZznCeLhjN00kknFQNkR0+5cf68WLt56X/fGKkodW0JykQpup8mmYMjcGTccRKML2Od5vgm3TeZehyAYC3KmTJEkVO5mcJHHFhyoqwpbngKbozf/2lZP3a41pJ7CjxKHga1A8ccY/PUHgNA+c8y0QfWm3Vn/K7xAbmfNwrexIJvMXJ2yYyzS37WqTx8iG6ZFB/C61Hty4dF8oGljE15ee7h0oYE5vwWHZ0Jj17k5rxH55iLOgIcK0/e4yjrYFyZ1eQZi7Gbg/Xkms3i0Dk1WytqjtJacXpG+wF04PNIYN999y0vRAMkJQik0yYKyRgzHrHFTykkzxgZ2BzFWvAM7QEHHFBi5VC9qOu6JXOKH8YikAOK4iIHCnCeyZwZY98Kg8GayDoOU52+ltcxHjX+XGcDEcedUSG3jHccvpRNfeVmmTxutG4YTvO27qIXZkE+k+adn3nwjcY4t+I4R5H1pMewkvZzqlljK/WsMQ59MFyn05n9eShnjvTPED5rnZp2d3TMqbMRQXFWkwaXa0EbMlEMETAo1+Lkr8VgWh9rzwELy47X4hBQYg7JLFE9nhwvZ3wWez8teesljvHE/+ziJz32OMVi/OVwUj4eIbmPUZjUOMxZfwwwLPYpWOynr+V9xpBY3xkr/ZjrbVHaqbOW89ievugGY62xySEMsRGTJhhkKOGR4+ZUhKHcUbapnkPtNOg3OqUfZ851+aTVcY2ZjDexcnXfdb1c12WTtlxMJtlUJU65bLi0ZTxpk44Zh9mVYDRtpa9JxOYW3Z9Ts6TFRzGO/liGeLstY30A8SNq7cjORnTRkhsHGgemxAEvetpVxhA41qZwKEm7N4ayUePAKA5M2j4wkIw7R0kcPLr3qD0O3KjxTTp90huJSY+/tb8yDgw6SitrppVqHGgcWI8c8LiLsXE8b+dJ8Xu0Yqecrwuvx3m1Mc8HB3KCYDYcJQ69x0xOleRN21EZ6r9/yjEfUlm8WQw6SpPeMSwey9uMGwdmhwMcJMo837479dRTu81LL8E7afL4zSOOSVIzJJPk7uTbnrR94LBz5L0r9JKXvKScKMEmZwk2817i5GfaelhkDgw6SovMnDb3xoF554AXqTlLTpF8nf23f/u3y5Q92vD+wqQNYXOU1jfCJo0PGPSjn35M9uijjy6nnB4PezTsNHTcOzZrwdmhd5QmzZ+1mGPrY+kLNkNMaIpsiEMtv3Fg/XLAi5/WuJCv5r/1rW8t/wWV06ZJzq7pl0lyd/JtT9oR8NLuu9/97u6jH/1ocYy8s6TPvGA+bfwM9T9p/kxewq0HHBh0lBqbGgcaB+aXA/lasRl6B8QO2e4974YM/Y7KajkzZGhW236rP1kOTNoR8NiNU+THBb28nVMkJ57eD5p0/5PlXmt9vXBg0FFqimy9iLKNs3Fg2zng91U4QzE6HsFxnnwN248mtneUtp2ni1Rj0o5KfgbA/+j5xpvgBxM58k5DnThNkyY9/2nOrfX9AAc2UJDARuDZUUrz7Hfo+atmlFUuDlUUrvakJV3b0ihi/UlXVvokSV/pQ9+uHd9Ktyvp/+ZEfyzG7NtASFlj1o45a0s7SLlQ5pw5Jr3FD+YAWQQTeFrjR2lpsCgdP2vsJE16H4PqkI90ITLTpvQEcvNCqHEgO1jKWSwM4aNUWscf5o1/Aj6YO35xoGKk1vH0BodurggOsobrOE5k8CQPlugEWPS4MtiSB5MomIMzlDb718oroz119AN3rjmsrskm9bQjyBfSXykwhY+MbVJdR7/ii7Uo5iz59hue1XzdnjGstv6k52+O8GHeSH9CcNCfM0ykjDzlYEQMpwKy7gXt9+egjejZ/JCvNjyKpyO0YUzqRz6l0Tn+KFZ+HFjG5eFLhBDhpHxfYBGuOinjWrlJUgBhnJQOxQcc0v1OzJCg1QuQMu7MxX0AnLzMJXUmPb/0t15jO0OLzvE6Xvep5iNZ4ady+C6QaeTg3rVy2iXn2tHRD9KmvIQs+hg89TkJjvp9G2yRqY/reeNFH3P1fOHEyRqc0BtxWoIX2Ir+kKauWJtpR90Q7ArBmfaVh/3UFdf15SsnJC/tpY/cz3u83HyXS5snPnCWYQbOhOg/uBBgsqZghC6UD7fBjnv58CedjlROm8rAHbvICU3ZHCaok1/O5zAp6175RaCtzi0xEcNC7oVxhMmoLhvBSMfwuk0MJhxpdbqykyBAAjDjCBmzMDS3lDdmZLxRcqmbOYiTlnri5dLq/EW/xh/8DY+jDPAzaeEh3NREFhwaC95OR50oCHXInEIQS9eeMurFgDF20tzLZxjVsWv16MmOapEpvJ9XHvTnBws1wRVcwAmsoeiP6BD4UsZ99I1y2obnXAeDygvBHfy6Vl87jI/+lJdWj8m1doVclw4W7CM8EK+Gat6upp1J1YU/cwwG4QbBhcCpic6TDm8wKNBzsKSc63qu2tGuWJ56YgEea9IGPUgvqpPydZl5v94QoCU2Ydc1U8cxIQaGIIXU00baFEew8glWjOEpM66P1eRRbgQMCJSP4FqIsRzXvnH2x+g+89VOn1I+cT+/3T/AAYsQjy1sGAm/wzs7GovZrjuGJguf/CgS98qTtd9Y8Q6D06D8OJ16USbaVy8Gzdfj/bDibrvtVh43GY98uyYBdhrNLweCt8wQjoI9adY3fMGEssjah8kYGWl0GUwppz7DAo9XX311wV50T3CcPuAbxsROLznnnHSYdO9EQb8JqadP4zKGeSdzruddX8/73Mk3uIOxOCliRK/BDywISYM9WPNuF7x+8Ytf7L70pS+VjaAnKfBJPyLtqwvrnCSP3Z0WwaQvdvg5hpwm5df6tQnT6bM0NMcfWz16qwHoOgwcN3/lElJeLA0zMZKw6/akRTAEPUnSbxQaIETxZYzyh8g8kDqCe/VqkEhHaU8sBNAls308iAPhUfhqcUc54O99991XZEYZMCA1PyOHO++8s7vmmmuKUbrhhhu6O+64oygFRoa89VFjsFY28hg3/6R90EEHdfvtt1/34he/uKQZSy3jBw1+DhKC7VFTmff5mzfswUEdpOc+jrY0eIIXeFSPsah373fddVd35ZVXdhdddFF3/fXXl29rwV7aCL/xVX3p6iMxB8mvTvtD5yOPPLLbtGlTKaesgIwr8bzLJ3PNfHOfeLXzTzuFoTP4AV99fWUzx8mBJTiMHkw5OIFR9IEPfKDow+hFOhEe1REjPAgf4JuDRNdymnbeeefukEMO6Y499tiCReVTVx9pQ/o807InSpkw5mVxJq0fW+i1oABXSBpmEyyGEqQ8MSKUSZP+jUUAqpAxSVsJhQfitGUeFFvakCfgmbQAbyXtL3oZ2Ajf8A4+LMIYpGBGGQvd7ohz5OTo7LPPLjED9eUvf7kYnhgzceQQzNVygl0KwenTFVdc0V133XXFYeIs7bnnnmVHvyiKYFExmDUr7pM0uBHDIhwKMJWTIXi96aabuksvvbS7/PLLu1tvvbXs2vNIJDqi1gnaE7QlHTGITjBhkdMvbF76hXRGSn8Zh7LBdNqQNs9kvplzPU9peDDPFEeIHoIVmIl+M3+4ENNlfpjztttuKz8ce8kllxRcwqFTIEF99lBA6sUG42MwmtNQfcH0BRdc0N14443ldMkJvDrwamyLoh+X9VQwEGFerkvCCj8wjyMiWOwWP8ZSNpgsXbsR8gqb3a5i+oj3rW+AEhwl7rTTTlt2c6MaN86MFT/MTQASRlaedCEkH+gEj4YajeZAeKUE+VjEFigZOT52770hjpBw++23d7fccktRAhwmdRgtMmaUyEV9RDbyatmUjOpD2+o5bjYW9+SG3GtjkWne5x9ZByPBTu7pKhiDEcTgMEYMBzwyIgwLIwWvcJu1j3fuxXVazVP90FHRJ2IbAG0GixlLH4faqdvq58/jfX/O8z7/WvZwwoYiuKTb6EN4dIp57bXXFkzCKHsLe8rAtMe46moDFuXHDusj/dTrwfWhhx5aTvXpV/WzDtSF0YxnHrFWz2mrR28y+sDr39eVXVMitbFzLVAahPH2t7+97PSdBGCq8gQoEFoE1G93R92nfQJ2DUTG4EjbcaJ3AsaRuainDsABCABxkjy7NSf5CfgVfijnGLPRaA7AQDBGRviMxx65MRgXX3xxWfx27RwjmMJrhL8WKyIbbQVbaVN7oaTlXuxRh7r6plQ4to6bxXb4i6IIap7U18vxrM5f79dZ3zAFB3Xsmvz92KHHaAInnYPkfQ/4gC9twB1ewaB2kPvwT1rar3mmLtwFa94pgUV6w+499RLXbaaPur15uw7/Rs21zt+euUeXbE/dtaoT2wMr9957b8Ghk56bb765OElsLT0Ymwqz0YVihE9xjtxrM5tSedoWXMuDQe1sXjrosIn0OJhO1I9YnpiuXgTagJFCHzDuhSEgEhKHwe5HO3ZEFjkD52fnGTxUH/elT+n9fqXtSIrwjcmLvvo+5phjuiOOOKIYROAaR+YPEJSZuWoHcABJ4AAytkgZ7Zkrw64eo9toNAfwNLsdjy8YIyeQZ511VpEV/AQvYvwnE06SBY3I2L0QgyJducgXzpIn1pY0C14ZwbX2LX757ued8AD/sg7xBoWnSZ9XPpC3R7YcFHOFN2uWIbKGvWskzaPebLKsb9iwWbLmgyU8gyP4Cf/Cz/APRmsKnq0B7dm5w7Wx+FNiOiY417b66W9IN9f9rOdrvAgO8VUwd3xYLdU8TB+J03bKJE5+4pTbnlib2hFc597cBPYFDr13ec455xSHmvPCed9jjz0K/tSFSdio8actacGi+2BLneS51hdMi2FWGoJLGITN5MMo28bx6uN7e3iwHuo8sN1eZrQYO0QYFYYRAsXhOf0nPvGJ8qyU4zRtorgYZIDZa6+9uo0bNxaHjnNn7OMImJQxL9fmY54BXP6gkRMmTzlet/5Wwr9xfS9CHgNl4XGQ3va2t5UjZIsTP+1iLFxk4cJaFrF7/LWIKQf3MSRRAGJySv3l2iAv9fQDH2SdADeL4CwVBi3oB9lnZxx8nHvuud2f/dmfFT1mUyQdPqxveAtW4As+4BB2lAvBqXwBJU+c6366e23JV0+b7pMmv9FicYBz9K53vaucYrIrT3rSk4pT5EmIx70wGZ1Y60qYQbAER3Heg6XUCR7re/VSX11ET2pDujVDr8pTbxGovMwdptQTDkPrtOWuKQpOQb3zsfs677zzyk6NJzqOokjGlVlNHvDog3AJdpdddik7Q89zOUp2dONInRhjoHRvzkJAqG1H5745hW92AYC0KCAax7+hPIsffz1msLO3a8djwT354CN+4yl5hq947Z4cpMmXRt6RjbZrimJILC9tSkPBvvRG880BaxdGnGJyiry3CAebl3btjAPdZt0L7uFMUAcm1YcXAckLVqVlIxa89eNgVXraEUvXnzht13HKz7d02uycFPnGGptiA+kkSZp3bOlO9pWeig4LRnAORpSFUdccneAt5eE1ZcXqJ7iX71693EvTnrAotNWJEoaYfGJMcD2OGCdMTMywEQ5vl+KJohjVxlD7o+qtNJ3hNQ79xCM2XoFCC1BGtRcwhCcUpvmpB4DmHWMu1h/lGpr0/NLPeo7xyK6eTMjKIqYUpFMGeE12eC0vMjFnaUiacvKRmLMV+S4nB2nJV959yknXtjYWmcKPeeVBdIC1zDHJWpaejREs4AMswgNcwKs0uETBn7JCcFrjJ7gdFde8Vi+OknWhzZqUrcvXeYt0PcSD8Hq98gQG4BDeOEUeA7MxsUEcKFiDyRojrs1dXTE8i4PH5I/jD94qp07tZKkj1P2tV/6udNxbHKUALrEG6utRDWIihhEWAdppEaK6yy3wfjvjBNUvuz33gGJMBA10xisYL/BRkOPI3GpAmJf66nECKVakfS94UqZAC8DKNRrPAXLw6I1s4nhyNGEH4WW9KPFfkCYmA9e1soi8UkY5lDjX8vUpXdCn9owniqFUbB9zywHyhhd6gjFxDxPurWf4E+gQaz2YghVrPTiNnggOMUyaexTsBWu5l6fNtJt07cZRSh1lQ0lTr9H8coAugjv2xOEDm0XmsUHBF7wEO7jhGv7UDzbh2HUwq51c1xwMtqRZC3BIJ9OJ1kH6lud+EWirR28YlIWXa/E4wkTMV851dl3acS1vHKW/cWVWkwcccVqMkbCBJwIfGh9QZNcJlFGExq1uxk+xyvMiqDp+kweQjjrqqNUMf+7rZqGSh3eS8NQjtyxM74DhcfisvGuyrLHpWp5QX9dl6/IYm3JhMrnBh+A6dZM/j3H4OmpufZ6NKrde04MX+KMryN7O3SN6GLD5wwPXsKkMnrkX6IbwKOXwQrvKCyH5CdJSLzjr39Mf0rSVMmkrcerkftHiofkP4XvW+eVk3XtJd9999xZHCaZgAwUX+JAgPdfBKHwrW/PDNWyhOr0kLH1og00TZ53EBhqD60WhB50omTjGLMe45ZiCgRgWRaIu5bH33nsXYUagy9WVttJ+RtUfSjcuDptHOk66gM41z5xSHOqf85cTMmADkNSLAhNnN2r+vsZ+xhlnlPduXvGKVwwNcaHz44R6x8t7InhHJnhtJ0V+7iOn+hrjGC6E70JkkvuSOeIjbYnJVUDqSoPrIfyOaLolrxMOZIdOR+SRuY2VLxM4Xcrahwn32RjCnQAzwZoYBYOJpSUPrkKu4SsGJ+2kPOxrI3VTL/nS6/bq/HY9HxyAQyebcIfykxRsGPzBJAwEI3Xsug7qB0/qJEivqa4Dm2kf1l0H++mrrjuv11scpUxwWyefRW5RO1URvJjrd4oYuyFDs639ZZwrjY2P4jMmDg6F6Pd5nFoA2Ur6N6coSb+j4l5b5gY4CHAZennaP//887vnPve5Kx3mwpZjnBirOEz4zEGiGMiGoUKus1DrBS5dkBajVZeLYugzOHJTN+0rG+PkWjuN5psDdIMTJPSeE+oAAEAASURBVOsZ7lwzBHGU4IEeg0/pNV5wRn4w6L7GDIylvDxUY9d96iZOGXGN3bqd+lq5RvPLAbqRXWFrXNOXbJrgURz9WOu+4AsOlan1WPQb/MhLvXAvGKxjdfQtwDoSa79uO23Ma1x+R8mk6wW+LZPF8Bg3zMQ8P4r1yU9+sgiVMFZDQ/VXqzRWWz9zM+8A06M9nj8FO+nxp//1GnMs4QYxVnjocUcWMl4yUO4jK1gNX5NeYzjt4L/6qVfzqE7ThnLa0Bcyruzi6nrzdg23CD/xJGFe5hmcjJoP2ZNzYo4Sh8k9wg/YgFGYQAyFdt0rFx5Ghyorn3OFtFE7VMGqMjCqvvw4YvAbY6QNfaiTNtRLKB3M8UeNx/6c5Q0R3qaeuKaV1K/LT+KaXI3RWIKfzDnjhgfXwZVxcJKUSx6MBCfKJi9jlgZf+lAH1dhNOXHG4ZptV079bGDd12NRbt5py4kSxq6GIlxt1NeraTNtrbaNtawPUEKjlXEgi5YRQHFU8JACsSDFWbxiCzWLN/yGOWWlKyM9bUcewXg/Xm6kKbNcXkubHw7EeMAYDMIMx4iBgCfOkDR50hFscGCCT2naCc6kc77EeXSXPGVR8FXHuU5ZsbSk31+zfS4SBzgnsFbjsj7hjN4UR++Jc41XrhE8JR2m4NN98BWsJS6V2kfhwJY/xZ0EPzA8i357248QR9Vfbfuj2t2W9OXGIG259G1pdxHKMjDBSS1rRio7fUrCokYpkwXPMaJIogwYJo9B3auf9NQTJ6S93NdlSmftY+45AFfWaY0nmPSYA5acbsIfPNZrWhp8SYcbdRiwOPAwGWyHibU+UEfffezVZfvlU1aZXNdlUrfF88MBzjlZc9hh1DWniCMPPzCGpCNlpGXDKA0WUTCedlIHhlwLfUw2fBXWdYXLYdj9SQ8wPQxM+kriflsrqTPNMjsKCKPaGeLHUP40ebMWfTM0CB8sbt/yoBQsbobIOyQxVBYxJREDpZ53zhgoJN8PsXl8EmXQx7B+Ekql3kdfHv37XvF1f5v51TxJmsnV1+t+sstMAJ6ydhObMyzCoV+Oh1HlBFhkvODONaMEj94dEbQhjaPlOth0rd3EsIqk1WGZIT4oKe2k/oMKtIS54QC8wCG9CFOwB4858XQfvRiMxrnCBHqQLtUOTMOmayRWB9UYzHXJaB+FA1s9esOgmvr3dV6uw9TE0uvrlNvemKDH0UrGOK7+jsyrAZjrHdn+PLaFT2TI6DA0DJA0cqcA/N8VQ+Q6zg9FoLx6Xrq1+N2nnLLCEA7lj5LTUN15kkXNB9doUebPeMAAgwEzsOX9wrxjKD/GhtPDCUfKx4FSR2C84sS7x0OnmzWFrzWf+/n9+9Sp09v1YnAAJuOIR/95HJdT82BQrFywGBxGl4Zbtb6Dq+jJ5IuVSbngtM5fxOutfkdpOQashlGrqbvcWCaRFkBsb9vmWAOrbkf6EA+G8uv25vGaIUJ4FWeJQnBv8ctngFCe18vLUbQ0pIyQ9tTF2/C3vi4Vlj4in+TVZVMmabmf53i5uS6XNm88iJMED8GeObrPt4zcw5R8j+TgT2CQ7NgZLryKsdJm3Za8OmgPBYP3393/mXKMWE1JF6PEdZl2PV8coBMTglO4SJpvc8MQJx4O6cM48cpFd8qrT5NgZ5STVHOwYex+bmw5UVqOOQQwRH1G9u+H6g/l7+j2hvrb1vyaR8spvW1tb9HKM0QWuUWc94s87vBDk2R/++23l1Mmi99uiXGywBkhiz+PNtSP04SH6sqvlUGNpcitTku9yKCfl/R5ijPHxOGB+zptnuZcz8UcYUQInmJ0YMrvrsEag+P00kmTx8HypCsLS+I4T3CsXU578Jc++jwNDvt8T716rO168TgAS4LHbnHGOUlO3n3zLQ45rMUZgs3gUl1lELwiGAwOk9ZPT36p0D7uf0cpfOgzp3+fcv1Yubpsfd0vu633Q23VimZb255U+Vkc06Tmutp2LdQsVk6T36CiBPzOlR28f8nOMbJ7xIhQDPgsT0xJMFSuKRKkjLb6FPkMYatfb17v8WFRecKgwEscE0YFpuBG7Bf2GSn44qjDIFwxRoIySL0YLfyUp5zr4Ky+xu8E6bnW1nLlpTdaPA7QiX5HCR7hDw4FOjObRtiFS1gMNsWCzSM8KSPUBHPaqXGZ68TKNFr6ViuGhMKUxEkfF9f1c536icfVBwTGEAGDdwDs3LyUS4FRPhSVnRzlAxA8a2Wj5ADmK1/5SkkHDul33nln95SnPGXLy8DSedcM8BOf+MRSXnvGrL4doxgIeepi9zG6o+ZQz1FbQkApDk9G1V/0dHKxWMkVr8gI+bZRjA8FQWYUQRSFEye/4k2JqBO5kQe8ePlR+nKyiIzECcvJQVvyx5ExwlF2cMaYR4DSzGuSNDS+ob6NEd6tN/MlD3PKWjG3cVTjf1y5UXlD4x9qv1b+KZtYn8FQ9AIsmTMd4hePI3/4SXnX5k/HiGEMRqVHnvpQ14mTcvBKbyE8C65h0QmpceQEQBnjThvuQ9L0lZDx9WPlpdVzTRvzFNPBeGGeeCpYX1l3Q3PFo1DNrzo9+YnrctJSNnHKiY1tHLEfMMOuZezS4Ep7gmtlBNiEDWWCbXVds4EIvtzDozw21LU1LD0/psxJkhe9CYdwrx+YFS83p8ynxlbGWufV+Umf13i8FlyDWXOSCMxxNmF45gp8BAwY0igqwIl3bKEQvnLSKCP/E6YcZUWAQON0AjgDLABSz+Mc+doBUgHdc889xSAzwLvvvnv5p+Y4cWvAioXsgnyjBMkpikcswAY5MUQxcjFE8hDlAB+UpzpilLbKzTIf+h5F8sblpx4FFSVmDO5hMmOftDIZmmPGOSpmvGHcuK0Nc7FmrD/zdz2OVsKjcfWHxj/Ufn98Nb9dk0X0CNyYp7nF0CqjD8FYtKdMxpWy7jMWdeER/gT3grbSXgwdhz3p4rSTtLQ5jkeLnEd2eAmbbATZIHKCVXwcR+GzMvX1cnyv26qvlRXqtLqtcf0bLwzYyFtrNu+IbYJNuKHf4Mh8kL7Mj5PINsFt1mbGEp6o51qZjNG9dtXRjjJwp/2EtJP+6th1aKXzTPl5jafuKBEiAigCthjQM57xjO6www4r6YTK0yZ85d0DQf4qRAxQ++yzT/e85z2vgAL43v/+9xcAqcvIHnnkkSXftf7OOeec7nOf+1zxrgFijz326H7pl36pjAFITznllC27xDKo9rHDOWDhkieymMmhTiNXuLDg5SnLeFE6YulIHdjIvbZyXQpsw4c+EvQ5juTDSvCrz1wbHwU2SRoa31Df1obxM/z4bN7mgJd2n9bKOFJ+NTQ0/pW2n3YSZ0xkYB7wQLeYm29Smp9NlR153Yfr+l47eKRd6erH6LjHN/cJqR8MK6+uoAySh/pjLYntYysO4BEdkK/Hcy7wGFbjCGxVYZmb8L/Pb+2E6rz6OvmRq/u0l7xxcZwgGLQhcQ8HNurINYxoP9gyrxCcBi/yUWJ18YFdVB++pSkvlo5Sv9xUH+ZR86DKetDlcjx5UKE5TpisFl8B4ygy4M8RonvCO+aYY7pf+ZVf2aqFOEoUO6KkvENw8skndx//+MfLzvGVr3xlt+uuu3Z33HFHd95553U333xzaY9SPPbYY7s3vOENpS5QOTm66qqrSj4AP/3pT+9e85rXFMNx6aWXdu95z3tK2fYxWQ5QBgLiZFjYMdoWKEUpwIWY7GBBgIVa0XBMBGlDCq2vKPrl9SdtHDnFNAbGlHIyD2NXT7q0SdLQ+Ib6Vt/a4BBR5hmzdHIgj3G0UkU7qo2h8W9L+3VbuYYDOoV+MT/Y8VgeRjw2o0OQ8vDESAnuYU2sDTIV8MM9kh/cGmcMkjraJ3vX/Tx1R81L+VB9nbRFi8kENj0qIhf8xjsBVod4lHxxwije423K5zplE4f/KZc46f0Y7jypYF+8PkBfwBCbJw2GghvpcBPdpi1lkHJI2cxDWeOSVofovlJh6QMOBen1tXaiq7STueQ6cdITazd56WPe46k7SsAO/AQd5UKxxasWU+TyKToxZQdodhlOiRipG264oZwO3X333cVR4r3vvffexVGK8t93332LPPWnjsd1hA9A0pwoAQAw3XrrreXUQt1Gk+MAXpMp5UBR5FGFBSyd/KMQyYis4pREIWgDkWUwpG6UgPws7H6cesqonyBd2SHaaaediiE2tiguit3YKMkouqF2ppWP78bokbdH2MYu4Ll1h9ezTLWMyC6Ua3rAYw9YICNyJjMGyztK5CRIhxllEF5IDy6jk8gYv+BSGf0Ev8FW2swYtKHd5Gs/466xGQwmTn3lF5WcvMRJwAO8hE88wv/YiVH8CQ/Fua7L1jKRvlwZ6ZGXa5RyxjGOPO3Yeeedy5iVc5qpDjx5z1IcXSWGHRhL+67pEXNFebfINb6YvzrGhzeZTzCkTWkZp+u6jHT3NdVpxpGgTMZVl1+E66k7SoQcoxiAEDgAAQWA+IPdD37wg0VpS5N/8MEHd7/6q79anKJDDjmkO+6447rLL7+8u+KKK7ojjjiiOFIHHnhgd9ZZZxUgOGVSR1933XVXcYrUi+ITH3DAAeWe4DlenDFAazQ5Dlh4WciMs5CFb8Hiv5hzzHArH6VBlvLqhZxFHky5R7WCSH9JV6YOaU88RB4BRnFzKig1Qf9o0o5GX8kNjbefj9ecU3znUGTnbtzSh/C/Eh71+6zvh8Y/1H7GV5err7/whS90Nk/WPgeJYZHPKYejPDozJulwYO7y8ISDwyCRaco4IaCflDN+ZdR1jZ+ujSuGSyykvvz0lfH38Zf7UmmBP6x5ax9fyQAmyQbPpa2UwvN++eBPPko8qlzSU25oDDCnLJx5umED7rUSDqD3r8xJPjyZU/CZdmEs+JMGkyF8uPHGGwsflGHD6B36CLkPvvThWh/KwKO0BHxYLiQ/cfoWKy99EWjqjhKhYTYQiN0TABAIgMMYUXicHYDjpV9//fWdE6I3v/nNRU753Z0LL7ywe/nLX17qescJICy2ww8/vLygrT1OkNOj/fbbr8Qe39l57rXXXkX5af+iiy4q3x6Q3mhyHCAfRsGiFpOPNPdREpQAGd53333l5CMni04EokRhJgYLjmoF4V7byqDErpWLUapjdVZCcGvHKOZkwKqxI3Mx9knSSsc5agzWm3Eav7Vlc8GJMBeEJ5Ok1Y6/Hl/dVq45f7/xG79RNj2/9mu/Vt5RtKtnTMjeXFHwQnaCe8ZLvj6CRfdkLN8XPuQxeE6o8FG/0mAxeIQ3QR4+qyvWjzLy1Eld17mfJO/XQ9vWj9NOMR4jzgX+wCi5jKPINWWCi1oHyOvf98v189Nev/2kJ4YN4+cwXX311eV1koMOOqh705ve1J1wwgnFxvg2mk25+WjP3FCuYcQpprlylPACdtjH2267rdznG23a8EpJyqcNeEub0oK59OVekBcKD3K/yPHUHSWCiuAIBhiivCkzwLAwGMk4UYBH8MCBLCC7RuABHMoRmChERkz+U5/61KL0brrppu78888vj+x49QDMcfL82G4FeYfBrlE/oxZIKdg+Vs2BOEpk75pioRjIDzZggGxcSyMvMlUWNsg7dbP43SsvuEZ9OUrvh5RPncTjJmkc2oarj33sY915S+/Fcd6MTbr8SdJKxjiuf2uGUuV8Omn1bt5b3/rW7h3veEdZd4z/OOrzdVzZ5fKGxr/S9tNO4vRFT1x55ZVl7b/+9a8vX/j4gz/4g+7EE08saeZPr0RO6tNHZAh7dEJkrC2Okpju8A0mmKSbjJPeEcuHJW2jzEHb0uXrI3hTRl4/yF90so44phdffHHZFOM1rOItfssfR2RX87UuG7lIUyZUX0tLucTJT5x6y8V0GZtmrOTpREn49Kc/3R166KHdH/7hH5YNO1uV9iN3967hEw9gD970GwcbDtlH79uxh/rhLKmrX7HyMCe4FrTrPn1m7NJhUxl5qe9+kWkDxoQJYUytNJI3ikkEpgxlG6ZTroAcZTCqrnRlUlZbUSLaAgrk22y/93u/1z35yU8uHngM5ite8YqSD3Qeu+n33nvvLSAyHuUByIvdFKN5AdKZZ57ZvfrVry4nUtJPP/30YoA9ejMeTpdycdpKJyM+AiTZ+FDzK/wcUbUlf49n5AKH+C1GdvOMVV56xFeKQFkyImsKBIlhCC6k47t7bQWf7iMP9bWXvsRwp4x0dbSZcqWTER+Ukp2d+mInmxSauWQdjag6E8nmHLLOhJrwYpYJ38cRZweRMZnCVHbuZMQxJycyQ/CDyJL8nbIpj0953CaPsfZzIxz3Ws7BWI0v18GDNrUluDZ++bkWKytNWyht1nHSS4EpfmSM44ZgLgl1uZXUJY9nPvOZ5QTGhtYJf54ekFnWcN1ufa2PUX2Hn8orE6qvk7a9sTHCBzmLjZeMcwLpPmtMmegy+FDeGJURwyH8wqF8OAkPlFFfQOoK2tafOblXL2NSTj0UXoiVFSPXyqiTdH3ID2ZLwTn/eEBLzuhEgePZz352CYZo4QBIBOpR2/ve977utNNOK6dGgCbtp3/6p4tgKTJht912KyC67LLLyu8o+VmAjRs3FoXHGDu1iPBvueWW0s8iAWFa4rf4QvgvoCxQhopMLU5pWaxi6Sh1ys33PlJWHHJNpha+GLmuy6Z80lJ3VGxHR/l4DPOqV72q47zDk51u+hhVdxbSh8YYRToLY11uDMvJvi5nvXtMbx5vfOMbuxe/+MVl8+TEmKOTEwnyrvGX6+AhhgfmbMLiNOEfZysbxZRXv+Zt8JTYGF0Hf4n7+RlHPadFusbXZz3rWeWRaeZNBviCV9beOFIOKVtT0pOW/MRJX20MG5xqdN7SaTNnz4b8537u57qTTjqpOD/yOSLmqn+4yfzgk72TBoPBnw1AnCXX8jlR7CPnSF5/Lu6TBm/6iGPlerlg3KnjelFpPMpmgCsECUACIDg1YDzFjhyf9rSndS996UvLozKAcaJ0ySWXdC972csKCD1y884RQ4b8HACQeC8JOL2rJHhuDGwAdu21125RYDPAgrkeQhasRRoFYcLSERmhKArGDQ6iINVDicvN0keUQhRBykjXljiKQRlp+kxYqXKAS7tD9ex0KT0KjSFN+xlTi3c8B4bkRLZvf/vby2+yOV2mIwQGiP4gp34bkZuYkQoFg4nVZZhiwOpyrtXXdkIwnbjOD+7EyidOm/WY0nbqp8y8xgx/5p9r618gy3GUtT5KxrV+qMvU1+PaH8qjD9gr495ll126P/7jP+5e8IIXlNc6vGPpkRv8mIe4lrv5BWPpR74x44drjlP0jacg6riPTjOPOqhTU+apPbwKnxOHf3UdeSh167x5vR50lMKUaTGAQnNidOqppxZQUG6A4Kv/z3/+87sXvvCFZSfPYL3lLW8pZby34l5dj9+cFgGUZ8OcKAK202Rw99xzz/KNGM+LgYji4/UDnPvVzn+19afF97XqNzzGpwTykS4mQ4tVsPijFOTHiUo9Y3atXoJyNWXhi5WVXwf1Qq6VGUfeYalPOO0gnYKq52TJeGeZakOx3Dhnffx9+fbnsGnTpuLIelyWHXdtYM0/WFE38hYLwUPKhF9J9+5I8JP6aSNjUTbjTDspK05+2hEnLW3UcT2ufl91uXm4JjfOgjWFLzbIZEBPW2v0wziyzlGf7+Fb5Jk2lEv5pK0m9iWU/AyNx4bea6MXzImTxE7F2TOXODrRd/LMVbqxiek94zd26xNf2Dc8khZ9xDnL/DL/YKuep7YEadGLSUu6PNeh/n3S5zUedJRmYeKUkXeQLJoIy7fSpFGETov8QKXHIAToZWzvJXGmfBUTmDhL0nj3XtIGYAvNYzk/EwDAym3evLk4VPoBGu01miwH8DpBT3ieBU0GlIB8ioQSICf3lIA85L6mtNFPr8vK00+COgl1W+OuYUh9xBBHwRkrhWass0zL8aceL8U8y4Tf44iRYTAYJngRGBTkBJD8xlEtv2ASRkLBjhgvjSdjSvmUUU+ZxOF9MNeP9aFMQvpcpJieto7ofnwkD2vetU0Kno0jskiZxOG7ODxPGynj3nXKJr8fG8c4ymM3dsdYrCeY9FK6Eyb1zU9MZygDr/pWlmMY59DcBWPCA+XUTdCu+oIyymrXtZC5iqX355cy4pBy2luO1F8UGtSCNdOWY8paMItyMw5GEhjEhAcIvgHFK3es7pqT5FGb/3PjKCm7//77l6F7L8lxp0UHaNdcc02p4zQpPwPgGzJAzevfEXMb4t9yPF2ktHoR4nd4nuuaf66lW7zkJwQb4VnKp1zu5bvOwk8/URh1feUSkj4qhi9jgEVzobQoPPdwtN4dDfyZZarlu9w47citZeXIg3zs5MmKsWKEIuu6reBPeWXlBVNi99JT33XKpazxpB18lJ68XOc+5ZabQ9LqOtLcT5uMe5JEL+vDeiLLnL6QKdnQ/Suh/jhH8S7lEg+1PVSOvbKBsiFHbBP94J1ZY6cf0kacH3NVRjrdkhD5S0/gLMGWdtTRRnCoTK7reaRu8pPnvs+XumzKLWI86CjNAlPsHDg9UTa8dH9H4rGbxWKH+JnPfGbLt9Xkc4KOPvrocsrkpAlg/RaTR3fZnXjEdvzxxxdHKgbPb10EmEACtI0mx4Esfj1kUda9SSOblKMIpFEAtaNUL/C0I67T027yc9+P05c+hhwFJxV1mYwtuJl1R6k/9/V2j9/jiAwZJBhykuw9Do/mnSbRBQxNHyPBh1g9sow8yVp66riXpx8B9fGgvLTgKvXdp91xc1jkPCd++IR/HIGc0JCpPI7qEOG3UFMtizq9Lldf12Xq66EyxmysbBRZsy10gmu6ox6/NOOSrxyCTwHJ0588MZ7QgannXnAPi8oFl5mvduoxK1/nyUfBsuu6vPtFpJl3lAjsp37qp8q3VeLMUHYcJI/TEGCdccYZxXN3nOm49oILLuh+8Rd/cQuo/M6NX+1GgMTL9+04/+1GadqpAE1+l0e/DSCFXRP9yCLF6wQdhvccXLImmygM9wlJ6w+ybqufN+reWLaVgkkYVD87SPeUuvtZpqE5Rw6zOodaoS83RoYKRsjBXODG7l66nwGxCUPhQ+Yb/GhfoDNCMS7ukxdjJS1tpE1pKOmJ70994DPlxXV4oMTiXZFTZECG2SjhobUnbxzVsqrL1byWvpxMUqau179erl5dxmsjNuqIjXFCxnFymumVEdfGqJ3MxTU8mS9nJ/naMKZgzjX+aAPG6Zz+eJRJUL8mZYW0mfvEddlcK7uItAFTUJiVOOlDTCHQmrEBtXoraUN/POscpTqaZGAotLRh51eTR2xIXV/z/dCHPtSdc8455aTI4tGeBSXf+ADIaRKvPmPS5ual95H0x7ni2QO1x3P6dm0Hqn6jyXEg+NED2cThcN9f/LXSCM6UCWYjb+1QLkh7SF7KqRscaJNCUo7zHKxFOSmnDwRb7rOLSz/mUONEOaTdWafwYdbHOWp8kfOofLIiY0RGyksT4iQFI3ChLHkLdFKwkjKRefDBSMFV+BiMZTzu4UF5bWpfm7mu+/HtSZs2bSpDDxlDxhyjmjT36Tf9bWtsfCul9JVYvbp+0hP381faT10OHxAeLEd1X8vlG1/KJFbOdT32pNWxa5RyidPOcm3cX+OBTzKENQRDnCX1vOBNfggGkDnqQ4CT4A8PYEhMpwRP7Jy21EuAceUEeeK0mT6UTRnjM6bgUZnoMmOQ5+TOUxhlzEHQ5kpP9LS53mnqJ0o5eoxweMgE7GVtX+tN/ihGf+QjHynH6X62XV3lCdUJ0p/+6Z8WZcjx8ovDnCICJnzgdf3Od76zlAEeQABE9bUVAI/qu6WvngP4Tt5Z1OQizWK0iGPc5JOXGLmOMnBf57tOkBdSpx84zzBDKSB961M56TAQJRXMaFv59Jn2W7z+OBA8BIdwFyzAQa5TzgxdR1+pFxzGKC3HBXWWI+kwqC4nXX8MEKwJnHf6KDqJfpLeaDE4QAcGb7Dmnt5BuY6u68fK1Dqqn6/d2Lg4QOrAIoyJ4Q4G4R1O/eivdGNRZ1Fow6gFvJYMiEEkjDDfN9o+//nPlxcwx42F8J38eJmbABED52jzlFNOKV679ikYZfNNCQDhDH34wx8uoGAM8UIbPHnjsMPLrnPcGFre6jhALvjOgbUo8Z4M4oxkgevFNYqslssrBZY+0m7KJ13dBH0JUQaw4tGtP5ukDLz4m7GkT2XkwVDGk7ZbvP44ELmSKaKH7NbpDJusyLjGmjoojlR0T9KV1Z57wX2u69gJEj2D4JCB0r90L/w6MaebjENQRlv6y3hL5fYxlxyAFQ4KLNJDtcxjs5SRLsAFfCDxUFAHhtXTDuzRa3GUcuqljL84ki7NUx16cFGouIT1ws31WjGAQsLwWuEQGmERCOUwjoCFcEPaQ0AVZZI+eMdIeXm+BYO0ATAAyenCAwDLY5hSaDs/tNVoNAfIAa/JG//JhDykMQpw4Zp8+iQ9/O1fuw8F02L91bFrj1k5R34iwg+UkrtxpBxnicOcMUSxUF7G2mj9ciC4iazpBnJ1qsN5lk/usBg8uheCMZhC2hCkJ/Q5kzLBPcxncyBN3zZwnCTGiO5yEg5zXhGQBnPKGWv0Zr+fdj8fHLB55EjDXnBnZq7hAJ6Wo2AzOKzvUz5p2oAlTlDaY5Ndw58fZN5z6fcG6Uh6EV5hFBaD/bQ5r/HUT5QIi4As+CgfzCcIxolCGEcETNkQLOBEeQCWul6k034Er6y+5HPE9MMZcy1N3/LV5VgBaqPJcgAG6sUaTJAFmciDDUQ2gjJCFmoWuDKu65A0ZaXXMRlb/LB22GGHlR8fhRU4cTLZb1dbjeaLA2QMSyi4gRG6hF6AtxoHysFj6vXz5Pcp7fbjbOzg0LV2/Uiuv7mwaTMuadZB1oCxZXzG1mh+OQAvNpFIDANwCRfy+tis8bUSrsQ5Sj11olf144Xzo446qvwvKnzGHiufcaykn/VeZqsTJZPBgDouNxP8cPLDQ6WQXDNShEEIhCgeR8r7JgHAqAdInB9EsAIHivC1ZX7uGUFpDCJnyKmC/o3DiYJ0ZaOcxo1hXF74Oa7MIueRAdkxBGLyJB/XMQb4oxwKP+vY9bhQKn6vbsrF2NglUUAcaidKsONvUowDHnxDSozgRz1jgQtlMo5SoH2sOw5EfpFpsEg/ILgM9qI/opOkyw+W0laYkHuxsrlX3rUAQ/AnjQ6ii/wtk128DRwnXuxUM7/1FmMFq+qthjK31bTR6k6OA9FDwWV0UHqUj+ij6MzgLBhLrFzy6uvYOG2zufDF/rGdHHbYkybAoHuY1Nai4Gert7HCxLVkQJQNwVn0hBWlQmnE6ZG/HDkiZ1gRhQMsiPAZP+0FTK7lc4aAQH9OEsQUoyBf+TymK421j4lxAO+DtygFcnCd0zz5yiUEp+Tpelww8OTnOn1K56TDCgxF5mJOkx29dOXUgUtlXaP6uiS0j3XHAbKNXA0+9+ROvvSBtASYE5B6KHhynTTla8p9HbtmfOgw/QRX8E/vwb9resw7S5wyOg5lY5E6dV/ter44AAvwGKc8GDNLjg2CHwRTCf37pNdx2oJpWBRriw7UH8dI3xx2GPT4d9dddy39Zm2Ujuf8YytHaRpz5bAwioRCUBSB6xioKKVRY6NE1FGOl6uunRkAyQMKjpF7ggU65aU7KdCnoL+0Q3EZU8Yyqu+WvnoOkAuZkQfDhO9k5NoizkKWT8bipAcb0kaFeoQpIy3Xz3nOc4pBohh8IcBYOEi+3aF9AQ6QsRmXMUszDveN1i8HapxxOshVgI/I17W82ikJLoPJ5TgQjCXPPUq6WDucoY0bN27RTQceeOCWr4/vtdde5YQb9ugpY3CNOFIxkCWhfcwdB+gaRM7BHB2Va5hA7mEDpoLT4KwUWPrIfWLp2leejYR7WPT7hGwnnNkwRi96JOyarWS3PXnJ+NLHvMbld5QwOcFEcy3G1HEU5lq0BIjhHBA79ZV4nPrQBqK0YnhiBOWPoxoorgXjEAgxc2F8kXalAUH6cB3w1GPQxtD8zRc5mXJcCUSMrj/gjUIrBdrHshzAr2DHwvPiIuxwVsgPhsiELFzDCrmph+ec2uRb8PISR6bulVfOzoic9tlnn+7www/fsjuKrO2WPG5TXl/qqoe0HcwYS6P1z4HI1jqGAffWrWu4JH86RRod4jplgsVgFDdgTh0U3aUt9bQH48rDtj7FRxxxRPl3AHpTPzZ88MdIwTiCO/WCO/0Es6XAiI9af2U8iVXJWF0nPbG0RpPlQOQjhie8hy8x2cAEDPjrLToRyaP33Nd11IOTtAFD8JJvVcYGpo620pf+XW9cctjh0UaRroRX/cdhVweW2TjOEgwuAq16ltn9Y1aE7ppnSgnUC1F6nwh1kjTp9j2vBUTzBErAAWLHlMDWaDwHLE4L2qK0APHOca90PJUHRxQArNnpIOX8BARFopzFj9QjA3GI4dGG8trhJB100EFl1+6eMiArDhK5wYyxqNOc3XBxPmNyJm9yhrWsY9fwYhftPTZYsL6Vgy11lIUdeZygGCD4Uy76QLprxgXebASCO++AxCFSD77pFLt666DWqfMpgTarURwge+9LBjvRa3QeTMEffQXD8BQcq8cJtyFkh+VJE8Ou6+hH7ShHR/rGL90I08pqOydKeVqTfkaNeV7TV/2tN4zGeEIUCI0iEFM02RGNYiDhrmfyQ5cBGl4w4O6PO+647qSTTlrPU1uTsVMCFh+ceAx27rnnlj80Zngc88ISgjFpjBIjZjEzJBQJhREKnpQXtA+LZEI5ODE6+OCDy9ddtaM8o+TZux0aA6c9smw0/xygs2AKDuLwcMgZDdjxNyfyONIcHZsiTj3DIU0Z9bQTXRj8MFbKiGEN/uzClYc1PwHAUeIcaQf2OOuCvqJPx0khBm9cmZa3PjgAZwKiu1zDh0exl112WflNLel0FYzlSycwALOcIjhKG/BDt4oFlLw4PHQjx2vj0kmSfmBPGixy2J0k0c1xuEoj32tnkbBXuBejUsdhiLRxhOHKREAEwRP1h7SUypDBieDG9THLecaPBxSnGFGGL3/5y8vXKnPsOctzmObY4sQwFv5378QTTyx/I3Paaad1m5f+YoZRsZA5Rln4MMWBwnsB9gT8F+SLgy0KxaLed999iwH09wHKS/P1V3jNS4upL0+Z2gmbJp9a35PjAAzCFlkzEL519qY3vam79957y39I+vFbj9L9x2ScdOWtc6GmYC740mZ0aPRrDNDGJeMEZ/qEb2vAb9PQJcpysOSPo7Q9rkzLm30OBDf1SGFn06ZN3e/+7u92NuTnnXded9ZZZxVHnWNEZ9F1MCLQXfQi3MAUZ9sGERbhRFn1tAvz0mGOM+QkSXnp0jhjnPz6JEn9RcXbqk+UeJoEQ0gC5u+3335F0Vj8836iBNjmH4VozgyzI0v8aDSeA06JLHgLmPGxOCkHi/f888/vrrrqqmKg8njTYs7jNova4qVkKAqLmBwEabDI0YJRp1McJTsm6RRJTpJcx1BGZuovp7zGz6blrjcOwALZi61jZA3bXW9ccmScPp599tndpz71qfK3SNY2zMJYysYIwaOAYIpTBU/wF1w6SaIbPNKDdfhkjODSOhCQdoacpFKwfax7DtAzcUCic3JP7+259GOPdJdNHfz4x4rrr7++nHbShfArhjN6lLPEgVcXDmGPnnQN2zApzbUTq2ARI7XhHka1CZ/KG4+Q8amfMa57AaxgAludKCmfyffjcW1hJKVAGAIBcJYw2vP9cRTGjyszLm+ofuYxro1xeUPtAyaFRrFFKQIusHoBjzFuNJoDFqYFjH8eaViYTniOOeaY7sgjj+wuueSS7pZbbuns6m+44YYtvw4Lb+oxWmSUheuaPBLsqPbff/8SGCT9MEaUDudJ/7WM4zDBjbHUeaNn0XLWKwfoqzhL5gBHTpLgwmN0j2qdcnLeb7755vIflP5gm8MEW3Fo4A0mxTEsHC+6UFsMF7wyQBuXHDC6Ub/0g1MkBlAaii6Jo1USR3wY7zhq+B3HndnJ68spdosuhAc45cC89rWv7V70oheV/y69+OKLy5+9++V2ThH9aSMJg/QY/Gk3bQfn9Jpy+cVt+dKctOsjelF5WA6lLWODO0GZRaCtXuaOcMRh7hATIkSMV4eDQIkgjkIW/6h2VtrP9tbPnEbVH0ofGh+lGi8dqMyfYnQNiJRto9EcwCvHyvjFaHBi4CendCeccEJ5jMtY+f+1K6+8srv66qu7zUuP5TwKgbtgkKyjDCxii187jpI97kgeZSDAJgWEghPyFtwLQ/IfPbOWsx44wNGOQeCYwIo1DBvurV8Y4Fhbzxym22+/vbwzwnnnNMGYdmBYWxwiBD8xKP+fvTv/ta+q78e/P8Y/oE6oKPBmEmSekUlkVJkUainWGisxtmnslNgmtU2b/mLTpGk6GDVpbK0IlQIONYigMiPzPE/yZlRArdb+/v3ex4LnZb0355x93nd433vPWStZd82vtdZrPdfr9Vpr77MvOuQEJcQoCt7RdeuujfrwqEy7tN8IfGxjXD4HIndCyfrDFQcXMAKTjHfy6/3vf385RN5zzz3dDTfcULBIdqrLUHIwJAMZTlwOgYx2chaeHfRhlux1i4+2vGAwYxLyHGxyoVsSM/5nC0NpKXPFZAvKxZK1mLkCDFPH0Q7zx5UP5Q+1z9iG6IwrH6IPjOoAtHlz5s6AEjY3mQOUjFMTHDmh+wGAkxHDBp7kWUOPJigZP13dvGAkEQ5O+Lfeemupz1hSDx3rQUBQePLQ0E9obFo40VNa8gkPdfhgVXt9o0VgNDe7HIA9isX+hQd71ukcnmAoezpGt/T+++/f7bfffuUg+PDDD3cPPfRQwaHHIbALM3DFwRXajHp5DgZowJqXuZ3i5RuDujGy9KeOvEluSD5NatvK1g8Hso5Ca16vu3iMHyMmy2CIjPLozKM5N/CPP/54eSx3xx13FNkIx1wwjEYuMuDcIRNWGUeeAHkvSb7+gj3l0saVsaEpXut+ebPs/t8CQ/6/73znO+Uk5SfTGIQ5GGEh6gVbDUasNv3VGHNNE5+aWzsOONE7Tfkv6+JuMRlBhIcXcCNIKDcvLDpJ2eCctYP15hoHxnFgaH/DEuWyecF49z4dzLlpYjRp66ROjqoDf3DJewdKnrJJbmvkY8aaEN26ffITKifv45KfMPkJk59Q/hB95erHh1a/bZ1fx+u+6vzEh8rVS9/9uvXYU68OxbnUSxg6CV+qNfpv2ihN/YTy6nLpvqvr9sukY5CrhxajPDeejHg4dAvvhpRcdAB1u8kwYlxJw6ObTVh2QOCi+4f6HyovxFbxjzkbQ3zd1RBv1YV/PFSXLnBQcUgR/8pXvtJ9+MMfLrbRsm+U6oEtJT4kKJZCc1u2mWYxtuV45q0vL9v6KbdTFmPJTZNTPcc4cmPgJiqPOLIp2rrNG1KWNt8hnJBfTuluho5/+SvvJ598cjnRe7fOYzXKx+MOj0s2LdxmerznZoliaob60taltXqJA26JOAofFhlD5CFDCOYY8G7pHSLhTX2eTHSj5P1Nj4IZCKElri6ayXupt/n9u+aG0vyyvs18JTjA+s9pifJhLHk85+aIwWSzezxKObmCppiinDa6kb4S/Gs0JnNgyFCCP55BzgjnndIpHwaUd5o4ygomGUvBn/wh+mt9YjfG5tYvB+CDUQNHcOjxsXTy3agzivyoymcv3Dj5F19+QMBQEsYo0j4ORqWbjHyJI4OG0tBGDmOXGlJkG9k1Qba2q4f/3v+w2b3k7YOVXvx2orLRnegpL+U2vxOSkADgVxvfa8ud1vtyOTCED3iCI48zKCHyjEHuvSW/SvKz7l133bXgEC1YhEsYdHIfot/ky3JXcLbbu0n3CBeW4BCuchMEZ26VfN7CByvdHnm9xkdUHS7zMVT14RDW0BDCtZtQh8/mFh5FNiY0DmxkDlA8TvM2uJcZnZy84O1dEScpBhIXI4lQqAXCRp57G/vacyAKykme8vHzf0ZTvqTs/Tk3m95VYrRTSFFKsNhc48ByOJAXtRlMjCKYYji5LSIXYdHrCB7B3XjjjUUO+hGBR3QMIXIRHsnPHCiNh9xEp7mXOLDmN0oWaCO7JuzWdvWc4m1qH2Hzaw8C4Nlnny3fGXGrlJcTIwxyYmIs8fKbaxxYKgfgKbdDsOdx2+23316++eW9JUa7U7wyRpWTOtw5qYs3+bFUzrd2OMBQgqHcJLlFkoYtstGXvP3AhYy86aabyg8K/NcMRhCsxhgiB7UTwqf6wWvj9MJL82vNhKao1noFNnb/FJATO5+fuzq9ExRephWPADDTGEri8ptrHJjEAUpjkoMzzm0SxcRId7KHO8rLu3FC+HTCV1+aIhIfoj+p71bWOJBPnDCYGN/BkwMi+eYTAbAo3w27mye37nmZm/6Fx+A4HJXXdHO4sQ4MpY2urALMV1jaYtuSA05QlM5RRx1VXpR1gjr88MO7ww47bPGdEZue59TNLWYTBNtypWazLxjiPbagbLzIfcYZZ3QPPvhg941vfKP7yEc+UowlhpTTe5RSMBksziZ32qxWmwORZzDICOJgKpj8nd/5nfI1+euvv7770Ic+VD6XwpBPXbilg+kxN0jocXmPruGzsGPLGyUMiw+zX6q2en+bobF6vJ0HyjkJUUS8k5RfuXEwHCFAIMQRInHLxV9NKzRbODscGFpf+FEnioWioXDgDR6d9P3aDU7zi6Q8LtEWPuOCxYTJb2HjwDgO1BgKboJZGGScezcO9twiKZOfugx2cT7Ge/pqRlI4Ub3MHea+UtRijQONA40DjQPL4UDkasLl0GptGwcaB9aGA2PfpLax2+Zem0VpvTYONA5sDA5MkpOT5Oekdhtj5m2UjQPzw4FXnkcszDmbV5iruUmbfX7Y1Ga6UTmw2vhdbfoble/zMu5aTkZuCsfhYlz+vPCrzbNxYCNy4LXZ1KM28Ki8jTjJNubGgcaBxoFtwYFaZtaytZ+/LcbS+mgcaBxYGQ6MvFFC2sZ2Wqo3+Mp02ag0DqwcB3KiH0dxtfG72vTHzavlrx8OwECNgzo+bpRpM4Tfce1bfuNA48C248DId5Sm2ejbboitp8aBxoHGgfXPgRg/RlrL0H68Tq//WbURNg40Drwmm7tt3gaGxoHGgcaBleVALVfr+Mr20qg1DjQOrCYHXpMPVuUK2LcT8v2E+hsfqzmIRrtxYLU4ANe+YePbNj605hsivrUkzSnzXRuYV+7bN8L8M0jtUzffHBHmg23aZe8IE7d31GtutjlQHzRHxeHIv4rw1XjYgxt5cKM+jEgHo+r5JpMyWArWxOEQrpTHoaOtcjgmz4NBXwpvbr45AHOwJITD4A0O4YWDIT7/7gnO1EuYerAFU9IJ0Uk9bWAv8lX+rLgt3lEyKUxtrnFgVjhAqdi8BIGNbjPzFI48cQKEsiJM5KtnsxMG6lBE6ikPDfk+5hZlVO+b9FfnzQo/2zy2jgMwADMwFAMHxmCEIqF0YEkIcxRPsMZo8qHAGFL/+7//W2j5tyiwyKBHGz1ttNWfvuTnX/ps3Yhb7VniAMzBBozBEczBCMwogxkfpBSHF7jMgVIeLHGRaXDHoeEf7saIUg5zypWRi7x/MTULbtFQMrnmGgc2Mgf6GJZ2Q0RQcDYxgUFYRLn4ajIFJI9QIDiifITaq4sWYYAGehEy6KbfhPI4ffXzXippf+eFA1FEUVbBHvzAFeMIRigcIcxQLpTVL37xi8ImuNReW8Y5BaWduDwu9H2VXn1eOUOrufnmAFzxsEKGicMGWUa+cfAGd/BH7sEjTDGeOHHt4vzfQvjVDsa1Va6e9uJkK5zPgiuGUs0Ak0o6TJ2FibY5zCYHgtFgVhhvxjayzUoo2PyEhc1M0VAmBENORuKpi4YTWE702utLHUJG29SVz2lDeHDqZWwlo/2ZSQ5k7cdNjtKIcR3swB9saQsvFA1Mwaq6r3/96wvuYC+KyukcvkJLWzdL2sI0PKoTnMqHcenm5pcD1h/u4APWyCxp+ONgCm6klYsL1ecZQPDKxZgnL9GFL4Y5nKLJBYPK1J8VV76jZDIYFp/JSTfXOLCeOTCEURvZjVEUisdshIVN7H8f2djSyuUREja5kJITylfHf93+2c9+VtIESG6jIiTU5RIa25AiXc+8bWNbPgcYQHAEXxwlA4OMHPigcIQUFYPHf3tXDlNwGCVEWcnj1ZX//PPPF3y97nWv65zwYZlygzm0mmscgAWYIZPEhfDG/+QnPyk4hLc3v/nNBVPkHEMd3tSBs7SNHPzVr37VvfWtby1yEG3tY4ipEyzLl54FN/ZGKQIes5prHFivHIDTYFTY9y+88EJ39913d/fff39RWIwmbbbffvvu4IMP7nbfffciMK688spFo4mwoOAooE984hNFeT300EOFxk9/+tOy+Xfbbbdu7733LkIFbyjD7Blp46jHJq+52eNAveajZueWyDsgDCLG0l133dXdd9995aaI4U2pUEwHHHBAt99++3U///nPu2uuuaYYSQwl7dTba6+9uve+971FId18883dgw8+WA4A2r/97W/vDjnkkG7Tpk2lHfxGQcVAGzW2ljf7HIAhGOVhiZxiBDHI77zzzu6JJ57oyEgGj3yHx2OPPbYYToz6Sy+9tMhFcpPBBFeMpF//9V8vGL7tttsKHY+JYZFcPProoxf/Ae+scHjsvWwE/axMtM1jtjkAr6Mc4fDcc891DJ2dd965bG7K65FHHiknoV122aUIEcrL83onK047joC48cYbu1tuuWXxJurFF18sxtVTTz3V/cZv/EY5vRM08aXhwh9pwqW5+eUARUUBwRYD5kc/+lExct7xjneUtFugzZs3FwNJnpM5Y8qNpVsiBjsMxhCH06uuuqrcTClnRDkEUHynnXZaacc4grvaYJrfFZjvmcMBOZQDJIMpj2phEdZ22mmnYgzB6cMPP1ywduaZZxbD/tZbby0yURtYFjKIOLi78MILi/yET33BMqPp9NNPLwfNWeH+FoZSmJnJjVM+KW9h48Bac2AIoxESTkpnn312t++++5bNbIM/+eST3bPPPlsEg1O/k9Dxxx9flFXaebxBeFBop556aqkjffXVVxeBQBmlLiEkziXeDKW1Rsja9s/gYXTzMEEZUUy//du/XU7dDJyvfvWrBWMMcArHTeYJJ5zQHXXUUWXw2rzhDW/oHnjgge673/1uwdhHPvKRbtdddy3G/pe//OWCRY9JPGqmzBhmweXacqD1vpYcgCcehsgq8hIWGeAMauGnPvWp7k1velMxuj//+c+XQ+HJJ59c8KPtu9/97u4973lPMcLJM5iFta985SvdG9/4xmIUHXjggeVAev755xf5yoCH2SH5vJa82Zq+Fw0lE+IxgrepuVmZ6NYwpdXdOBywkeNgNriVB7veBbGpCYkf//jHxbthIiScyJU7sRMYFNXll19eFBUls8MOO5STPmOK0vKojsChoChANCk1ebk5IIQoKnlursSbWzsO1HhYyijq9oknRE88PvQjS4Uwwsj2yALm4AMeb7rppm677bYrGPG4zU2mF7cpIe0ef/zxcnKHQ8b6YYcdVowhj0rOPffcbs899yz4ZRB98pOfLPjLDRR63g+h/PTd3PxyILocjsTJI5iAG1iENbdKsBn8MXAY827R3R7BnLpkJWx5TPzYY48VPB533HEdI0m5dn/0R39UsIcuGajfWXCLhtK4yczKRMfNr+VvfA7YlFzCekY2NgHgJewLLrigCAqbescdd+wOOuigYvAoo1i890FgcOo4VTGIKLm8fMvIkuckJT8vdxNAMdoinOS1/VOvxraPj8LEthwFTMBBFAkseifEe0YMdzeZsHXGGWcUTMljeHmv7p577im3mwygt73tbWXY2quvHQUGi7w6jHVGmHI0YDqY3JZzbn2tHw6QP/YAWQUT5JvHu3AhZMx8+9vfLq8SwM/+++/fve997ys4cgvPuUEnG4MtGETXj1l49POeE1wyroQOirMi/wYNpfWz5G0kjQOv5kBfESadkCBwW+QlQ4/dCItrr722bGJCwamecrK5naKc1AkRt0wexTltUTjSHmtQSuLecfLobp999ilCIcLDDUJOUrMiJF7N9ZYzLQcYSbDoF0ZCL8i6hXz/+9/f+fWQmyVpOKLMYEebd77zneUWSR1Glhe2vfsBv26Y1IVd2IZn9bzwTbnph7He8DftKs1uPVggk2CIl4YdcTgj90466aQi1xhM8vbYY48i0zYvvG8EX27WyUVtGUbe61TmEOoRmzawqNwBwLtPJ554YpGXs8LZQUPJhmuucWC9cmCSMrBxbWCbmXHjWTuDhsJhAN17771FYDCE1HGFrI52TkgMJkKCceQXImhRWAQB5cTA8ss39e0TnqKTptA48ebWjgNZh7UagcccHoEZB3wIPfbwKI2SUs5Y8oL2EUccUfAJi36N6X05bWKouwHwC7kbbrih3Box7P0K8+tf/3qh69bJTan6cIc+Jdnc/HKADIMBchL2IptgiWcIwZ0bIK8Y/OAHPyhY9Ks2hpBbJodML2fHkXEwxmCCXb+CIxefeeaZ7pvf/GaRr/Drxh5+Z8ENGkqzMMk2h9nlgI1fezNNWpwiIhA8ImMg2biMIY/QLr744nKad1OU9ztcLxMCTvmuqSkfz+Gvu+668gsP9dRB58gjjyxGlNOZNAHCEU4E06wIiTKp9mdJHIA/+HCKp3Q4uGK4w4vHHAzvKBx4Y8zzDCbvLDnFU3bKTjnllPKo5Gtf+1oxmmAVncMPP7wYZB536I8ChNO1NhSXxLTWaMU4QBZxZBE5SDbCEmxwymGGAe7zE08//XQxlhwAfUKFseS2Uls0tIU3B0i/jPPy9pcXfkwA37COns8LwKr4rMjAQUNp0om9cLr9aRxYQw7Y+LWr0+IUiUcSNq7HEhSPU7fHak7cHmNIb1r4Bg2FRGgQIm4BIiAYSgwnyoxzI4BWbgUoo9pIoqjkES7NrS0HajysxUg8lqBcYInSoGBimCuDGyd6t5uMeXluiuCRYU/ZMJo8shP3owLY8pkAOHXL6cR/6KGHFmXHADPnKEb0mptvDsBCPNkFHzxjyHtuMeC9d8lY+t73vtddf/315YAIb26O1CfXhIxwcbdGfknscRtZx1bwiQu/2FQH3Vkx1AcNpfmGWJv9RuSAzRznBsiH/AgKSsmG9us2z+EJCoYUg4mAYCjxFFkEi9N/PghIYMgnEHj98ITBKIGgjvrNzS8HGDewAVNwdswxxxQDiKJh/MDju971rvJLInhh2HiUQWlpB3+MLKHHwbDo9ohhxKiHaX2gDWtO9urCtT6am28O1MYKrERWeZ3AQc8PVmAOXuDRL3t5B0iHxY997GPl1hw2OfQYW4x/xhDser8OBuEvWIRrddWZBTe4k5qgn4Vlnt05xECJ0dKfqVN3fgXkhVrP0uVpZyNTYE7hTvqEBQFBwRAqyigez97Vp7xcLysjLNxOEQgETcahjItgafunvyLbNp112ba9vtKb9We4wBqswBPjHU4olRjlMKSOcreVHnkop2gYSjGcxOHTOyXmBoewlkfM0ry+lDf8vbIW8xiDIZiCkWCQnIM3RjecwKc6ft5PFor7XIX332CVY0SRo+igGRpw58ZTmrEOcwx4GERnVtxrTYzn6pO4dPLFm2scWI8cgFnKoFYIcCufMqJUCAPObZENH2fDK8ujDfk2O6edUxNPmXEEAEdYMLYIGy5Gmn7R5DKetocKO1btzxB/sw4GkLoJV21QPcIwASvBZDCrGkUjzcFVjCpKxjjhk9KRL518+FM/2BZnVJlv6CUsxNufueRAMABnkWNwAi+jE/cKAABAAElEQVTkY/aCenzkH6OKYZT2MEgWwrEwRlDopJ36kZ2hPQuML/dpYcYsTKjNoXGgcaBxoHGgcaBxoHFgpTiw+NnMGEvCxFeqk0ancaBxoHGgcaBxoHGgcWAjcmCLd5RqAynxhBtxcm3MjQMNvw0DjQONA40DjQPL4cBrKJJ4hJpiWQ47W9vGgcaBxoHGgcaBxoFZ4sDIG6XaWKrjszTxNpfZ4MDQC4MNv7Oxzm0WjQONA40Da8WBcqO0Vp23fhsHGgcaBxoHGgcaBxoH1jMHFl/mXs+DbGNrHGgcaBxoHGgcaBxoHFgLDix8BuGlf5bnEcbQY4y1GGDrs3FgEgc8WvNdDzjOh/zg2Af6fHtGef/xm7TvzfiOSMrrOtkLaDa3thwYtS4ZUV2WvJUO00cwUcvIlAl9z0jo+zK+V5OP7/mIn2/YwBLv+zRCdNQPXfF4c0h+HWZuqSdsbr45QI7l21mw4ptd9bfcfNMI3pInTS5K5ztK2nHwJA+WyVS+xtqo+Lxwf4t3lOZl0m2es8UBn+N/5JFHyteMbXr/8Nb/ZfP/3QgGLkolQkHIU1zJUy/xhPKaaxwYxwFKiEKheBhJPgTpn9w+9NBDJe+WW24p/7vNPxiFRXVgkXKTFoc17YNRIYXFRcGN67/lzzcH+vIthhNMwtCjjz5a/rOAD0WSkf6foP/Hpkye+hwMwjJ6wuQxqppb+ABxY0LjwEbmgE/n+9Ls448/3t1+++1l41NOzz77bHfaaactnraihMyVIOAJh9ogquNRYBuZN23sq88BOGLMwI6QoeQf3PqntU7ml19+eXfiiSeWrxy7ZVKHkqKgfBG+VlTBnxD+asyu/kxaDxuRA/AXDAUv0uLCa665pnvwwQfL1C677LLuoIMOKv+uSYbyUYZ46Kgzqlz+vLlFQwlzwqCEmFHH5405bb7rnwM+s0/x+B9u/uN1/u+QtEcgysY5CilCRh1Yj7JKuuF/HPdaPg64kXQKr40fGGQk+b9Z/vWDR8L532z5FxDa5QYKnWAP/vgY8jU+1WuucaDmQB75ygt24FGckeMf2956661FLsKjW3ZYcwvvXzLBYFxkXUL5dTz15jFc/I5SJt8YE060cCNwgFDgd955527//fcv/6h2l1126Q455JDFRxvmUSsfGKfYRj2Dp5hqvxF40Ma4dhygbBg1MOVdJP9P8MADD+x23333MqgDDjigPHrL7RHFBntCjzUYThQafMJdDK61m1HreSNxAO7ijTs3nHDFCDrmmGO6PfbYo2Dt4IMP7vbcc8/F/+emLhwGk+jUNMjV5l7iwERO1AvQGNY4sB454Jk7JUTBMI68m7T33nuXE7wTVL3ZIwjqeVBQcf3yfjr1WrjtOFCvz7brdfqe4CuGDkPJSd1/Xme4eydkr732KjebjPLcPmmTx3C5OUqPkbnwbO7rff4ZdwvXhgOwBDOM7GAlGBL6Ucs+++zTbd68uTvqqKMWDXMGPmNKG/W40KnT7dHbS+v62popdVxxGP9S1fa3cWD9ccBGdnIiKHbaaafu5JNPLqemKBrCAK6DbZjOqUu8flkxdcxSvBYi62/mbUTrgQMMHliDKVj7v//7v/K4jaFEMe22226Lv4CLYhLCLczCH5zxMbiC1xqP62GubQzrjwO1jIKXGEyJw6WbJG7XXXctj9vEc4BUPsm5bWru5Ze56w1ZxxuDGgfWOwcoHYqKkqF0Tj311PII5Fe/+lVRPj//+c9LuQ0P2wQDw8oL4NoKg/k6JIA4tJtrHJjEAS9wexfJe0h+XABjHnF4BAyTbprcKIk7yQdb4k78lBYcwiUcc3BH6fHNNQ6M4wCckFvBSW34xIjyviZPBsIcmej9zf/5n/9Z/FxFZGFwGGN+XL/zll8evdmcGJyNicFh8hBD1CMcXve61xVhYLNbCEKDcFC+lo4QcspzHf7jH/+4/PrEmADMnIcUYRSwuXjEQyASjISeNFrqEIahKy0OmOLNjedAcBd+wQ0jx4b16Czfo1HOxZjRjlcOt9bD+vr12xNPPNH99Kc/LUJBvjW2FllzQgBOhfpDxyMSLzr6GbcXINFcD/gdz7mNUZL1MtqsYUJ5EfDjyuWvpsv+hDWYgCd7Wb50/fmIWiGZAw8jcETOkA3aP//8891tt91WfpbtF3BokBmRG5E52vsxAqyLv/71ry8vfruN8v2l4447riizzF8dLmHyW7hxOZC1hK1RewWuyEMOVsgzDtYYPTBa40n9YFo9uvjOO+/s7rjjjiIX6UKyMHisMQ3HdJofH+hLfN999y0G/6ZNm4qs1E7fkad1X/qbVTf4jlIWchwDMIp1qh6DCeNtfMzE+FoQjqOxmvlRxMBknMb2y1/+sgDO+wTTzo9AJEDRMTdeHiHIAQ565ixfv80NcwBe8EqIt9YGL21Sxq2NyWWdsrHVxWfvJDGQfLfGOyGUlHzrTGmJp01Goz+4RTOC6Nprry19Hnrood1ZZ53VEQzqrDV+M+ZZCq1H1nOt55X3hhjMkVcR/pRSsGmcwUuwI+2ACHMPPPBA99hjj5VvKDHWNy+8E/Liiy8WmRNsC0MHXe3JFBiEU0pPHkVlLNddd133B3/wB6VN+zO7HAguMkMY4ITkHFkID9KwJ4+MhF3yiZyDHQ5mfQ7gnnvu6Z588snuhz/8YZGpuT2CtdRFR5rLGPQRbIpfdNFF3aYFWXjSSSd155xzTsGmfP1qm3aFyAz/ea1J164/8X66riuO2RjLurXZs6CEh1M9AbSWDrBY0cZG6TKWjDHgiiIeN8Zf/OIXBRDqc4zBCDchoSbM3IHX6ZSSZ0zlBDCO/rzn45314Bma+AeTDCa4wnchB2NwxSCimHwr6YUXXij8t47ZvASBuLwotYTowDTcCq1b1vYnP/lJ9/DDD5dTmJsl5f39oX1zS+NAzc86vjRqK9PK+sICw5ryCWbgURpu4I9SEMojTygeoW92kXPPPPNMBz/2vjocWQNfnLbBsbT5wyjMox35QV7AOdroNjefHIjcgQO3O9LBBvkGM3QPHPnALrnlsMhIZyCRjTDKkIczuihyDi3tgruaw+rCr1AdmEWPl86+sE/ge17cFjdKGFG7frouSxxT1bPRGUU2PqHhpG/h/CpprR1AGCch5lmtn+++5S1vWRzzpPEBCoAChTglDZSuQ82bkI1yj6LHi9NPP728PEcANzeeA35OTTHgsQ1srby3QUDgL8PoqaeeKoaRr8xSHvhrLXiGlrWl0Gxi7dHJaUucT30jQTfeOnrUFkFCKPHWzdrqq7nlc8AacPhex5dPeXkUKA+HHxiCQWtu/SkjecYKn5SOxxiUkke7FBLDSFsYgTeh+QWHMCefQ0cZBaQPIU8mwWzqJF9d7ZubbQ5YZy5hPVuYoVODLWnykrv77ruLfvVhUzIRLh3q4Qf+YJgh5badQz8enb48VEd+LUfF7Q90tQ0e4Tf15kU+bmEohaFCDnMwb5LDPMyyOBaVYvN8/oYbbiiLJ38tnUUl9IwRyDz732677YqlzSqOIBs3xoCDQnV7EYBqa258wImG63Y03/e+95V3DgjS5sZzwEa2GRkrNiSFRBF5rs7gFqewrGM2uPWk1KxBBIk4hSbkbORgMxhOe2E8owxta8s4orQYvJx+m1sZDtSypI6vDPWlU4ER+xcerD2DWQh7jBieoX7//fcX44ixZPw51cMZnxspe5/xTl7AzyT5p28ySXs09a29tPF4Z6m52eaAdZ/k4IB8Us/7bi4gHNYZ6vLJTvjlyC2YgiG4pXs8tlMvNNBTJy6HAWllPHrqC5ULXRRELsK+8cyLkYQ3i4ZSvWCJJ1RxnFMHIwkKSurKK68snqCxiGvtLLzbCeM77LDDyv+5IZAAiSOUJjltCaynn366GH/mRfgxtoRACXiEq8dFUfYUOYE5DQ8n9T/rZW744Map6N/+7d/KzZENjn9wZaNz1hGP8VxciO95RGcdIxTUz5qgw1kH7eTzUUZpE6Gjvv4pOv01t3wO4DuXNUi8ZK7xH+tt7YMXa+5do4svvrjsecoJ1sgMisJBi9PO3ofRyEBxjqyhTDjKRHm8vOBQGIz1FVPwqX5z88MBmKi9f8t03nnnFeOIjIQxr3Vw9GvfWMkeUwZD0nGJowG7jCAGkHpwyOtbefAIx/Dsdkq5fM5+sQeUzYMbqwnqjT3ECHUxjpFw8803F8tXnueja/3ozeICE0BQisbp1osytMjKJznA0Z4Fz5qn1J0CgUnbGEpoKWOAKcujuoBzUh/zXMbQcRPE5YVYPIWd8D78sQ7K8D3eWtjwjFJlPEe5cWgkFE/aGol79q6vYNjmFyc8rCm6zS2dA3iMn+F7HV861ZVrCQdkghC+xDcvvIh9xRVXlBtx3+aiHByYyAyKgxxhNPHKtIvhZH5RMkI4igsvpIM/2NVGOl7aOMKztG/hbHLAenOj1tvB3L8goVsZP+QRmakNHJKDMMYHX8GWPDopDqbiGf5cyuWnHdrxyuXDv8Mjpy3ZOGq8pcIM/nmVlTBp0UbN30JhpEUhGCyiEBNdU6+1Mx/CjUAi6DzaIdgCLgJukqN4zc/1OyMISPLOQgQl2oAmn8cTijpKexL9eS9jUMKLdQp28JO3MW1IvLSG+IrPWTMY4+UTItbDWinPWhAmqSfkIgSEbgb14bRGCKHP+NIfvMBJc8vnAF6H/8untnIUrC/8BBP2t7WHA7dHHqUHf0K4JAd481FPiA4caS8PptWl4KQjb8TTxizIIk794FvaeJqbfQ4MrTNM0Flkk9cMGC6MFtgi52A1OAyG4QtWtc2rBeqiEdkZTHuXiczk0UQDPV57IYzCtVsl9bjIWZifB7fFr97qRQuzhphg4dQVWkgCIZseo8PYITpLLdf3JKd/YwISCjAOmMxX2SSHPlCZmzhl7gaCAga6CECAo5z1t2nTpiJka35O6mOey2x6jlGCz9aFwSOdTSwPX23ker3xl4cza6GeOM8As4lr/NXrETpoqkPg8BSbG0dYQa+5YQ7UfFUbb+P7ZcPUtm0Na5x1hht4ZHQbNwWRRxj2OZwET9n3RkvepYycMfcoIljm0IuPQko+WsocrITa6pvxLozhpg/lxquPjKV00P5sSA5knwiDDxOxxnABKzDI07GwQK4pjzwMDe25YEN5dFRkIqwGr+qrw4mHTslY+BM9DmebF25ZYRsdfSubFyMJPxb/hUmYs7UhA8JmziJhpI3OyV9tZ3EnufqGBygseoCUhZ/UniVtbrx5AYj2UaxCAo2CFff82L8t8F6T+QN7c+M5EF5SKAyjvARrrfBPebAlHo+iOGfj8lzWyjpPq0hCP+0LofZnLjgAI1l/eCK/KAB4lM9glw9fdRhDqZYpGBZMigeT4uNc3XfdVv60+B1Hu+VvfA7Uh/I83aCHYEVY4yd4EwavZGhkoTbBVdqpl3i4VafF63TqzFu4+OgtDBGGodMwwyJYjBgF2sa4kEfwrKbT3ySnf1eGhF8sabdBBN00j8bMgVWuH3S0wyNtgQx983WDkTJXpQy0nEwnjW/ey+AnaxgMhifK8JRLWerXbRJXT1wdPliWXzv5cYmHfj8/6RbOLgey9rDDR9HAHpkRFyyqo02NT3Xkr4QL7brvlaDbaGw8DtRYi1zLLVDKhPHBjpmq33fqwTcnXmNMWy5h4nW6VJjDP8WK6TNCGhP7+aP44zqQYyy4XfKP9xgi4hwjYy0dIDBmnAwZMB6r5OrS2IeuD5UTkE6Yvr8EZHgDrPKBEX1zdqvkVzLeZ/ISez5auJbzX+994yecwYnbJB4/8Tg3k+LBY7CZeeG/vKxL6qVN6gn7eJbWPmOQjk+7fpvkz0uIj7PughVrbV+7aSYvYDG4wgPlwRfckC0xnlaSR/pBn29uvjkAg/QULMAaD5NwGh2UPQo3wU4MIId19fnaBfOppx0XGqmbdMqTn7rpu86fxfirHr1hSITBNBPOM3iLxjjwvRG/XqLsLK7HUavpRi1g3Z/HOW6FvFvk41xewjQmwJnGUMozXjS1ATz8ATBpQlVovkDsezycuH7W2lAsg1nHf/AtzjrxwR/8ZH3l8XidUDtpnlM39UvGmD+pk/p1WDeRr6/mZp8DWWdrDoNuhL2v5KY4ZbggzqvHkQN8XUe+dJSQ9CRX4w/m4Tn0J7VrZbPPARiiW+EiGBMPTpTDSg6X4qknjDGFU9LKtU26RF7+oyxeVmgJOe1Du2TM0Z9FLVUzKPMPg5IeFcbwyKIwDAgaC2fDMyTW0vl5ZQQZ0BgbI8Z4jU/eJOdGSR28ADAnTWHSBKk4oYqmEH19MsSixCf1Mc9lHmG6OYKXbHb8hRtYyvP4rBfe8lzyhJx1yLokXZclT5241E/bOkz91J3HMPyb1bnXWDBXPhiDR/IidezlyDX1kg+v0tnroTMtz9BBg8yIbKnpTUun1Zs9DsAbfOT9JHE4E9JNQniFG/nBjTxpukuedI1L7eLER3nlwWNdH515cxMfvU3DDI+c8vjKRs8iWqCkp6Gz1Dr1Ao6i4UaJ0s0YjY8jAIEAECc59WJcBWxulbQzR4aTW7WUyXeT5CU8v5xiSDY3ngPhbTYzwwgvGUnWNhsVhWx0axgvr46nfdZ5XM/BjRCNOj2uTcufPQ4EJ9afhz172B7P3ifH7HVOWLeJcQND2ikLnpI3xDX9wnloSWubfobat/LZ5QA8wkHCYCQ4hJXgE2a41NdGOS/Oq8MnH+76LmXy6/ioeumzXzZr6clWwhSzZShYNAxj9WZRLJZFsDir6fQ3yRkDpUuIBWTGalzyhtoHXBGCseyFMZIoZzdJ5hza+vQ+lHe3mhvPgaxDQkYmJSXN4bE1so5wJs5ng1pTaxOvzHpYC146Lm376dRJmPIWzj4Hsr/hi4+TD4v2L4PJYavGX+p7RAc38BjciWurXf1JktAeFQabGQMa8NvcfHMABmCJJ+PIO7rF0woYjT7CpWBSXFlkYC4J5AdTwZu82tUysI7XdeYxvvgdpZrJmBlFFMaOY06UmvZpEwZLJz6uPeHD+zAWoQMIFjbvB1CU0mgBSBSjcekTIORJAxJawANYHot5gVt7dAgtNNDWn3r6dOukPmEoL3Mm6NBMX/oTz5zcpokDLT7oWx0OLZ8ISHrc/Oc9H3+y2d2+WU88tz54658XWy9OXe+aWbOks974ra021huNOHm89omnLPXQ4eDMGgfLwULqz1tY72G848KbhH2eyI9Pm36dbZUeN8asK9mRsZIBMARLMMfwcTOsHHZ4Dla8ZAuv2ffo8Nqq55Y5OFQfHzKWmlbwKIRFZeIJjUe75IVG2iW9rfjZ+tk6DsBZMBZDWppuscb1mgeT9drCYXQUPaUMJrTlYBAtHl36DQa1gQ00Iy/pQ2Ogr7R3CIBN7fjQrDElT5/yki/NZbwlMeN/XtEm1UTDiCprbHRr6o4iQqAAg8VjzGRxLby8AE1bccDKAqmrDgFnQQEEEPzijvL1D1d918gYlfHaE2AAkrYBG3poKQdGtNBpbnU5YH2sRzZ53Zs1swaMUoLCZrepOW1gRqie0Ppax3h56Ne+pi+urLnZ5AAcjFpfeSmr4+GCPDLFfxcIpuSJw6JPhZBDDCYYiydTopiivLSLR7+Opz9jaW72OAAj1hYW8ivKGNCRY5NmTR9xZCBswSQMxjn8y+P0A4fqkaVwJi4/OlKf0vRbH4fyefnNbcmBVzj+cj4mYRbXZ+TLVbYI6jpLYbAF5fTJwrWAgMQxVJRH2QEI4OknIPNf5wGFcFI3QAIMBhNjyc2Ok5+28dqrQ+gFaMoAEh3jCUjLYJb4Zyk8WWJXG7JZzR/8t8bWyrpYAxvd+ucmSX34UEfd3NpZM56TH4wI4/sMQl9Z39V5dbxfb9bS+DGLbtw6m2vWV0gORBZIw91b3/rWIpMoOhh0Qy0kq8gHMgp98eAWDrXlIqfE0YxPehzP63rqNrcxOQA3sMFbax5m4Cxlk2ZGH6lLppGJcCHN6IrO0x5N+KM/1RMnT4X6FNcWLqXF0U5cyMelH/SaW9ApfeZgCiYlTLxkjPmjzjT1RjXXf25wAICQcTuAnjQAJF4vtjyL6KvYQISGa3Lgc8vAaUugubUCEHTR5NTTzrePhGgZS+iqo40+l+PQa248B/AH33m8FlqjKBp50taO0aS+zR9lxBiOkAhW9EZBaYfeKNfPRzc+9aXnwYUXmW/SszB3c8m8+vORDyMpT5h6MMQoouQ4dRNSMurn9oj8IIPUzS9hlcNpZEiNSeOahM/SUfszdv9uFNZY5xgn0THS1l56yKmnPg8/wbN8OszTmNCCPzJQHTpNPAfO0NEfPKIHm9pw2iRUt7ktOTDyRilV+oIj+XWYOsL4unwoDiza5Yow4BFaMD4KFK0sojxgSBhAomXxpXlpxhCQAQbwKJfmGFHqUMSEHyUsTz8MrgjJUrn9WXEO4D2P39n4eQRrM1sL+daM0Wu9YxAREh6N5HSfNYcL68Zb1yGn/74bldevMwvpep74N4su88pcEyY/oXwexjj4+8lPflKwB1McuQRXMKgerx6MkmFkiHI0YVp9dTm05YV+yXw5P3FhxiFsbmNzgD7J6wEwZE3hBSbINniZ5NTh3GSSd1xuieCM7AumglFY5Mk+dWAQHnl1pDn6sMZ+4glLpfancOBVhlL4Mu1mTb2029rQgkbYAAWFaIHlU4JOZ1noAEJ9cQudF9SALwoWeBhCrieVO/X5T+DG6n0kZdoDBOGmjme9aACu/vVhLNosxy23/XL63ghtrQGP3/F4Zo1gwJpaK66uZ8Pz1li5NRPCilsm75DAARroKUuIVtYlYfKk+3nKZtnV88VjaeEsuMxn1Fwy78w184ZDDmYoJflkDSypS8nBmXLvQHJkBwxyMaKUezVAWjuY5tNfqfzyn1F5dfm8xof4kjVcr/wJJuAo+oQ+Mu4hI8mczD88iEwMTuXDWHSVtLJgUX19yodBei5GlnYp0492fJw22QfJm+dw0VAKkxJiSp95oxiVOgnTblTdUXnaxbCxsLn9edvb3tbxFKFFVg8ALC4rWb6vYAMd40c+5Rjl6srRP6cV3nLLLUVAAQlwMprURw8YKGMGU64p0dQH40k/y3HG3dx4DtiQ2ZQMH3y3JvKsD29NrZs1krZOvHwu2Mh6wpP2cEOhKZeOkhq1JtPmjZ/Jxi7Bn3lywYQ59+cuzasDd+IUC598ceX+G4E82Etd+FWW+jnopW34nDHIH+WUN7exOcDAdgFAtonDBBnHSZNRk1wwRaZppw0Hb+QZXQU/6NBvsEcuKuOE0vr1Yxj1UmZMnDKuxhua43BZKs/Zn0VDaa3mbaEtIGESxffOd76z+/3f//3u+OOPX/yZbgQRBQkQXtJ+5JFHugsvvLC7/fbbi4EFkICk7gknnNB9+tOf7h599NHub/7mb7of/ehH5cXMd7/73d1v/dZvdZs2bSrvH1x77bXdJZdc0gkBhRHFxQBrYFldZIS/Ni+hYP1sdt462tg2dDY4Y0mZegxcAgR25MVZR23hSb40X8dTV6is70bl9evMQto8swaZc9KzMD9zMJ/MrZ5T5l7PVxxO0ibGO4xRKFEy2op7HBLjXh0eVtGAwdBLv9plLOihn3TqCEfl1eUtvjE4QD7BA1n12GOPFQztvPPO5RAejEyaSWQbrJBnZCR6DvqwI19e5CdaMKcOXMKRdkL5vLqwKc8Y4oI5dThh8lJnXsPyv94wg8d0PoICU6QnOe0wncPYmvFZyEntXQfm8YmFtaiMoN13373cGuQZLTAo5/Tnn+/usssu3bve9a7uL/7iL7qrr7663Cyp47rzqKOO6nbYYYfuW9/6Vvf000+XK/LPfOYz3Xvf+95CA3B9o+fss88uZQEyAwmQGG8RgqXBmD/hXcCVNL6hM8S/MWTnJhtGrLk1tbndCsqTZhThX7BJ6FiX8DbfWlJXHUJFGCGRfHl9bKLBw6t1YnyrDz+wJl/5kEObi5JEy3zMgTATX46bZgyT6Gc/Bp/q1nE89iOIjBv/vcCsX3Po861ui5Z68ur8Oj7Uf388dVtlo9rLD98TyovLeITPPvtsOSTtv//+Zb+bp1sgWFJu3cJjaRhghMNQHqu5sQ4mtFcPXoTWOO3QCn7QcKiTp41xmktkmLQ+km/s6vH4rkyoTcYXXmTO+p0Hhxfmat1gFc/xxJqEF+P4MIlHyur2qZsQTeVJJ6z7skaTnHK6hR6Dow9/+MPd4Ycf3v3e7/1ed9hhh5V87eEu+FE/+k4bWOXNOZjJ3OXrQ1k9l5o/MKceF3mkDaypB1fmpn1NJ3nKU6cQmcM/k1d5CoZgZhiqehYr4RQkJlZB50tf+lKpA2w2y3bbbde5ddpnn33KxvnN3/zN8o94GVgEGAHH0LLogCY85phjumOPPbbQITxvu+227u1vf3t38MEHl/y77767u3rB2Npzzz1LnRdffLE8+vMSXXOrxwEbHn4IP0aztYowkFYWQyqPYY3GRmfUEgDZyNnoytHh42qM1nniymqf8mlCAo5C1D7vI8ApoUdZLtfhxSQ3tM+MK25UnOFpDtZB6Gvy6snXtzmN6iO0rAOXdD+etuPKs/6FyAg6hHnaJgxNYRRA8tSJR5Mh6EYZRv7wD/+w+9CHPlTmFsWEvrbKrZk5o2lNKRj5UcxZUzIFX+TL0z5YCy3tjKMev7J6bMaX8uTXofJ5d9bi8ssv777+9a8XWW497Xtrg/f4NckNlWdNQqOuL658krN+k5z29JFfZ3vnVvjtb3+7++Y3v9l94AMf6D71qU91++67b/nALvnGSII980abLInXj7hxKTN/+5UTh104tKe4pMUzr8jFcfPKnOswbdGZVzdoKE3DpH4dixDfL9taRntnCajuvffeIvQAgnBmKF188cXlxV1GEAMJeGwk7zYxlAi0W2+9tQDG7ZNywPr85z/f/fu//3t33HHHdV/4whcKDTdNX/7yl8tpGi0b8eGHHy5G2daOua6/3PnXtGYxng0bRWWO1tcmJzCshY3Pu+nwojYMyH/uuedKXBt5UVbS1jq0rYG4kNdXysQ5IZ868tRJufQop19CzVi+853vdNdff325IZVPGVOmy3HGM8llHpPqpCy0Eso3P3sGP9F6/PHHywvIhDtDzzy4uk0dj1AeV6ceX90u8fC8dNLrp5+XNqEppDS55KkTL98aPPDAA2Uen/zkJ7vPfe5zRTmdeeaZRT7AWeiqb77Bn7gy7yoK1dUPT7b4hpc6DHlpYfASLMJhPUd0Ukd/aEmjI4zXvh6XuvPoYPDmm2/uLrroou79739/kQn4YM/hTw4nS+VNvRZohOcJh+hat0kOJvxyUj9kQQ5PMCYfPuga/aFV40Vd9Wo86ste5eDRxYF2DpXkJX443KOjHvzDGPrBrpCT159nXTflxt6vVwjM0Z9BQ2lreTFqMbaWRl3fghPGFt9jAQL8ySef7J544omSBww1wChTt0SAQ0Cy4gkdt1JXL9wYbdq0qbzcTbARgNko3mWSp13Aut9++xUw1+Np8ZXlACFgfWxom5ziIwCcnCJApK0z73EpgZBHcNbbJg6dbG6jHKVsrDeMwozyrL+Qj0AIjodmG0GEnvEZNzr5vlNtSAzRGlVuHJPcUHndNnNLqEx7SsdecNpl8G2//fZln9k79gJXt6nj5luX12XyM77kJyyNFv5E0dX5dVz7pBOGppBM4JKnTrz8KJtgQZk86wZX0ll3c423bpScNGxZX/Vhj4yQt/PCuyby3QIIyQ8hmvqrXfqRJ57xBndCbfnkqTfvDjbtdQfdv//7vy/GKd4xOmLgT+JR+DyuDl7XruZ5vU51nTpuvaZ1V155ZXffffd173jHO7o//uM/Lq+HmB8PazBFhsAm/JF/4vBqLMGHerAoxBu88OtKezgGO0wqNz8YzjzDD/Qy1+SZh3rS8dJ8XX/a+c5SvRU3lDAnTM5CLIdhAEE5et/Ii9YAdMABByyeLoDkzjvvLGACLIvKwOEefPDBciukPSD69RtjCaj++q//ulzFay//vPPOK+NGH9jQ8YhuazbCcuY5r22Dlcw/giGCgiKFAYaH9SUYxHmCgUCAM0KBckIvyqZPWzoKLIrTOnPayItQkKf+kNO3MTAYTj311O70008vwk47Am65+BnaQ0NjzPyMp6aVuPHZGwS0fcDw9Ijq5JNPLj+QYBikbp+GtDn28+v6GV+dV8et6VD71E8YmsKsZ/LUiUf3jjvuKLdklNG5557bnXLKKWWN1efr9UaLl0+5BIt4JC/4U4ZfsBiFRWZQ3Olbfe3i9SOv75Qrg18+Si10+vXnLe1xFL7aY/Y7fuNXPDmxHIfPXMJ+fNSalQYv/6nb1fmJk190jHV1yPfjowMPPLAY2/adModD84NRGAumzRU+pNVBQ3/aqQeD6ggjD5Xbs9mX2ptDPU5x/KudOnzwn3mrJ69uX7ebl/igoRSGDTEkjE69lWIsEPzzP/9zWSygcl0JJAwnztXjN77xjfICOADZTF6WAyqP6/wLAkLM+FyVOw26dqcMgMAv57688MiNte/dJwDzwqD3l+6///6iADOnpYTT8m8ptGehjTXjKAmCgnIiGK0DIUhAWO8ICWV4qp06cBasJR4hWvM+cXWy+ZOn/7QJLWXxysc5+MwcxKPsjN2YCbLluHqMo+hkvKPK5JlX7VI/YcaIx3j/1FNPlVC/6kT5h0baSYubb1y/TH49/lHl1pcbVVYKXv6jPHXqdUn/6Sd1Ut+e/rM/+7PyKH7HHXcsxg3lq765j+JPjBv8UI+yyxpHYVlrsgdm4VB56KEZGsYRbMnL+CgfPmV1mzqv5sE8xvGX4reP8Bn/s6fsMeWTXPg9qY4y65y6dXyo3VC5fZUxMpR22mmnolPoJLehfjBEr9FLMczRhBUOzsxXGQ9jnHK8kGfcMG0v2K8cDKmb/aEOL59LOvTMOfNOPPW0Ub/v5Kk7D+4VKTdmtkOMCHPr5lmEOm+pcfQZP3F+7cbZJF7I9mLc97///SLMCB4GjqtNgPFJAEKOt9kIM3Evat90002FDuv+T//0T8tt1QUXXFDqqeM2Ko8VSsUl/hni3xLJzkyzbOicWqJggitYsm4xdq1d6hAUUTjZtOG3dIRCmBWa6Us6cXX7AkF56IVGP4xy1B9BHiVMOLpxyNd0++2mTRvfJKffSU55XacfJ2jNm0CNQFfHPMyHoB/FA3XkRzD36WZMaTuuPIJcvdSp4+jU+aErVC/8ST/y1Y8nL7yz6BeS3k/07bXcADqF2+txoZH+0IY1ayxPGubkkT+MSopMWn6NhYytplnjK3Hl4mgI4zP+jG1eQ+uDt/gBq2QynsOd/WUdJrms5bg6WZ+6XJvkJ6zL6/g09D3O9jQEBuOsd2QFQ4g3p+BBPXiCOXn6gY2MBy9Sph1se59XHp5lDqlT0+iPOTTVTbvkGYe8eOl5dCtiKIVxNXPl9Rck9bYmtCm8eE1ZHr/wXSWP0VjfXjr9u7/7u/KiH2ErH2AYSm6ExL1joZ1HbYApTfBfd9113aWXXloEqHeX/OrgL//yL7uHHnqou+uuu8q40cgG3Zrx9uv2edIvn/e09cVnAk9ok0fhRIBYQ946M5iyoa2leNKJh+d9/EmnTBgfIVCHWZfUT7ofpo8INadD45QO3vpttiYdQ2JcG8JzWpexJtTOAYLAxntOWWg68daGRNolVN8acHVeHQ//6rw6bs36ri4Xj+/Xkx7Vvq5n/OYHP4xWcoKBZL7yOPSDnawjRaSc3OAyT/nWmPPepHLKWz6HljmjF3zVPMhckqe/5PXDQnDO/5AP4RXDnXHEke/kA55NcsHyuDqhXdOp4+PaJT/tk+6HDh9km3EYs/r2tLTxw4l58fq1H9WBp7RRJs6rE/kiDn8w5JG5durIyxyCQ+OSFxoZpzbxyhJPmHahl3bzFr5mHPMiOKZlSBgr5NCdhrkEkDYWN4ACIIJMezcIbno++9nPdmeddVZ5zKZ+PkrpOp2gysmdEAM2L2d76VtdQHvmmWdKPlChz9jy8up//dd/FWWgnZ8OO22Ka8cPuRqUmbcQ/yI8h2jMcnlwMC4kPMJDQtH64D/+ifPaEg4JYUYbikxesCrOpY162sVrw0snrq+sNzrKgplp1iV9qxtBY1zy4Sw4GhcO9RH6wtCo29Tlo+LaxImrgz/i+MWQCC/ki8OtMHsw7fv0M57Q1D5eXvpLeb+99JCr+xgVN4e+RzN9kylZX3uenJBnfupYs/AjSsT8ja3GjbT64Y825AxFqL6yrLe6wYL66CgTBqPC1BGm78wlc6j5o486P7TqOrMWx+fwJMYqmYHv0+BH+6xdnzfhZ83Tfp2ax+rXbTKuSSHdQ67BiDWGB05oXBkbjMIIbGb/6Ute6AdL2isLbuTjTeRdytVBP/hGR100gzfxePhUHrrCyGRt0YtsoyflzYsbvFFabUYAEmBYEAtmoSyGRSOoAciCWWzfSfrHf/zH7pBDDimGkp/0q+/jXUCi3UEHHVSG7LtIriI9tvOe0kc/+tHyjSSC8s///M8LTSDi9M8ZgytSINCnvlOnVGh/VpwD2Zg1YXlRLv3NmA2b+jbvJNdvr642yc/aW299RlgIubb+hQ1z8QcmgoMok3r9g5lxzKhx1a+jbXzKpMkYIdkVV9erDQX5wXuUn3E2N7sciEwKJqw/jErHBRcJ5QcnqdMPUzd0gl3puiyHJTjl9E3XkptDffT73Mjpkff225IBmE4x6pOwsACMJy9hOjUoE2fwMGJcd3vk5hEMd+ihh5avbbt69IjtpJNOKoaOR3MWVz7Dx4e93Ej5yJeXufWDpl/QuYpnyXv0FpAAKFA0t7ocGIU1a2Dd+drJ54TxdfmoeOqNC6NwUo7GqDGNot3yNj4H6nXPbOTZ+3xwKEzdUWHa9sPQqdvISx+1QQ53yU/f6MnTf5RmPaZ+fy09mxyo8VNjJLOty5MHT31Zpl5c3SaYrMsSDxbp59CDxcRTb5bDcmwOQxNiYB1fTQawWPXFqMF8isutj/cKkvb4ze0QQ4hRc8UVV3RXL/zM/7TTTiu/HPCvSbycTYCg48U2H/5z1e7RAqPKhycZRa7L//Zv/7Z8a8mL3PI47yZddtllpV913C5pZwzNLZ0D1naSc2IP3tTLRk67pFOWtDDx1E0/KUsoXx3pUf3JVw57hAGjWZi6obuUsD+2raVhbM2tHgfCX+sUb93jyZSsYV03I5I3Kr9ukzp1mPb6gbtgTX+pR0FFgWVsKVOP06652eUAbPAcLCSM8aIMJmonHfz186WDocT7der2Livy1IdcpBsznrpeTWMW4yOvTEYxebUmzxCx6BbDs2eL4Gf8vBskt0nK3Twp96sVj9K++MUvlp/nqu8FTY/ffKFbmbRfGlhIRhel52NlPi1g4Rlb3kfy/584H69kJPkSt3600yaPZVZr7o3uK4Iezwn/+GxC4Sgf3gWrCZOfsG6bvDqM8KkVlvK0q+u2+OxxAG6CHWsOD7U342BhVBj8hDOhlXQ/RINLmP6l0RKSaWSPMHnqyYtcUsY3N9scqLEIG8FNZp30qLJRWEy9fhh6wrqd/l02kI9ks4uIYLZuM+vxV12XYEKYvy0mn+edrFWek+cbSLvttlt5mdviMJy8o8R4Uu+ee+7p/uEf/qF84dR4TzzxxPLPb90+MXr8Yoex5KfBjCUfpfQ/nxhTRx55ZPnSK6HjV2+33357uVECBP14yRswvCTehNHyUFBvulGUogjqjatena4xKT9pceuUPhKmH+WTnPo8GjzHcIe34HK5xnJ/TJPGM6psaA6j2rS86Tlgf+MxD4sx1MWtXcpDMXWzLkkrn2at1UlbbfQnT3+8/ni4U08ep06ffk2nVGp/Zo4D5FEuE0wuGKjxUGMwmEh50n3G1PmpG/rSkateW4FF78LJ55Rlf5SMOfjzqkdvmXPNvOStRujxlsdcbnoYJowXxo4XrvNC5ebNm4viYiAxgHzjyE3T+eefXx6xWXSLp73QZ+J92ItRFeeWiQF1zTXXlMdt+uC0ZYCZr5smQkocEABUurnV40A2rM3oVpHHe+sYp441SV1hfOrU4biyYLoO9VOvOQMpQsFYKLLmZpcDNa7MEh7IIKdoISwET0Iu6ZJ4OZ14P6yxljJ5XL9vaVg0Bv16dcArBzAozYvXSqreJ6HfwtnhQC4Qsu5mFvwJg6Vx2OxzIm2Tn/bS4n1PBnrcxrtAsC84FwqwB4vz4F51o7StJ81A4jxWw3SAYPD4OX8Eg7K83O0jkm6JAEhbX8f1vRoL6SbA7ZFPBrhNYlR5+Rs9Btnee+9d6qMBAJQiYyj/ioCQUj/5rGnlza0uB/DdenpfjY8iwHt44CIItmYkaZPNn7ZJ90P9pm/4sP75bkvatnC2OJA1N6sah+QIDFAIcKIeF0wlXqdLhYU/6o/LT5mQ0ydP6STUF1kGe+SYOKOJHHOozJ4IrUKo/ZlJDnhXlxyiCyMPrT98wQncjMIaZkyLD/Vqn7by9AF3+odFaXrVD6HmzlCqGY05XPKSLpkj/li0LJiNrn42vXx+klOXi0GivdsFi8MZh5shgOEID0qVi8AgzOLcCqlLsBgPY0ofeTnbgnMJ007dOj/XjeFD6vVDtNUBZh+pdAI0Z/MwPnSaG88BfLc2eGhN3O65/ePwkZJQJh4Bgef4y2fd1EmeulkDuIIXtwOhob00RSiPk7fzwj85PfbYY0uaUDCurK9MfXD6SZi8kjHiz1B56NRNtYmv81t85TkAXw5HkSEwRmbYz07PDk3yYJOHl6wpHGSdkhe8SGuHvjaRWdJwx0fxoaNd8Ci+5557Lr5DSaYYi7bGAPO8eLC48pxpFNcDB+hBWCSL6BLYlEfHwUP0JozxuQ2N3oFDWIFFXh34Ck6DS/nqBofmrr7+/LLcazDS6j/99NNlLPvss8/c4G+L65J609XxSYDBuDBZG3GLR8CI56puHA11Jrkowkl1VrMsAnBcHxk/IwmgfY4AoNyMBKzj2rb8l/4VTZRRFJPNad3xkuEbpRPFkjUJ7/t8rLGLZvAIqzGY5KlHOcmnKBlKflmJLoGhTnOzzQF71TrDAawwPiKzHLZgBBbgRmhPa8PDYcprzOGYNO82HB10Oe3gPXHl8Kec/DCOgw8+uCinGE7KKMe0g09evrbNzS4H4A4uGEXBo6cjcMN44uAMriK3Ii+TDndqjIqrhy5ZC0dC+XAVg8u/APJ/VT2xcaDQ5y677FJ+NIX+WuvnzG21w5GaIEycpnPMqgUGYYJ5BIp8TJ/k6sUbVQ8A1tKZwyQHUBwgsfIBiXKXNvd5AdIkHk0qc4ULK3AEC9L4ho94H2MTH3lKLXWDneBPOnmJC7OGdR6cEg6UIsHDQOL1q4xSsoZcaAjj6njyWrjxOOARW9bS2ruxZqhbe8YJY0U5D4swSCZFMQlTbvbBmjgcScMSzKLFyw8tWKeA9En5ORxQiP4Vk3dCxI3JQYxSy1izB/TT3OxywPqTidYfVtwuRl46jAdv8JDDH3xx8hIPh4IfaXE00IVjuoxHn3Fmbxx11FHlUZt+1Kfb/LIcJqP7QnuWw1cZSpgR5ovzkxwGcxEK2lqgOEyf5PoL2a9b0+qXbYt0eDGuL2DBIwAmRAm8AJkCBsLmxnMA7ygHzkYnGGxSfMN7IYzE4638YDPxuodgVki5WCNrA0vqS+ck7qV/Csl/9iYEOH0SBBQnxabNKJd+RpUlb1zblLdwbTkAEzASOQQXDjyMFmvHYLLOwZ84D098XB8LScM0Gak92mjqU7k8NIRw75+mkhmRIfLcdFKUjLb0G3pwvNbyMfNv4epwAB6se2QWwwYmyCeHPPnKg6lgBM7gapRTh+fgD0bVRUsa5r2HJJ5/5EsmejeYnBQ3Du3mxZWZhnFhnsnX8UnM6Le1iTEw18SYP8kNMXvcYk+iuZJlQ4qOUCNoKXvCDHhZ4tpNy8OVHO9Go8UQgQF8tEEpE2suj1EklObxE18nrUl4nhAerYlNL46+TU7QeBfKP0QmjAgEQsAY4oPd0Eq/0snbaPxu492SAzE0YISz5nDixyMUAnxy6tXrLy8YCB7qdOrCcAwkdNHk5MM07Pnxif9dmce+lBTcb7/99sVIsjf0byz6iFJEI3K2EG1/Zo4DDm8MZuvu4BasxagJFoLPlGOEeN+lPGVoR2fBI9x7H8mtEb1GFjLMpDdt2lTy4JCHy8jIfj+zln6VSRgG2uhh6qRJpx5FZONiHMGgLcYTDpOcduvZReCNG6M5ElbmDlhOohQuQcdwwovmxnMAPhgtcOAmyQdFXTMTClEmwSRhoH4tFKLI6h5q3NbKRR/Ww3p5H8kHRwkiCskYxG1+Hg0CpFZEGUe/rzrdjw/hp1+/pbctB+AhBkzWmjEDA7Aobg1hLrhLaKSRf+RAjbvMInJRH2QCR0Y4TKHjlH744YcXDGrPSIJDePQjlrQhV/WRcaiLZnOzzYFgCmYYNWSjX3qTTdKcOnABD9Gn8oLNcEhe6idOPpK70uTgXnvtVd5BorvgzW0mWclQChb1Za+ERujPcrhoKK3EpC2MxYpQsGiYPckNlVuUtXTmNMkRYN4xUE+cgj/++OOLgAXmtR7/pLGvh7IY1nDAwMxVs08+UFbZ7EK85OEr+fUcgmEhnzVRB314tPG9nOhXRfqjsPJogyDgY/DrJ3QSoiWeUB/NbVwO5LFb1hEeYAX23BLDSJz8YDChdpFzcBFsyOcZWvK0FcJ7jCQ3SP7BN0UEa5Sh8TCQGEuwqE3oB/vyeG2am20OwITbbv+Wi0yECziAq/rVAFgIHoKXUZyBmzhx8pbRw0giE72K4BYJdtHbtHCLxEiyH6LP0o9DhrHMg3ttNp3J1kycdvI2vnYYi5lORIQLZk/jtJvkljKmSfS2tmxofEDm45XmTRj6RcDHP/7xAjz/MqW5yRyw2T0KsxnPOeec7oEHHihfZb/77ruLUICvUWsQxdOnXuMluBQ6OdnU+nGTRPgQQtaNYrKO+iGAjEe/DCjx5maXA4Q+BQBPsOgk7efQH/vYx8o/yf7+979fyhjPFBAsqQtL8CIMznCpjtfl2isTMoDg0M+r3SihZxyUFc+AUkc+H5pRUKE1al/M7krN58w++MEPlonfcsst5WPJjBM4hQF6J0ZNsKYyvMANNw4jwRR5B28et21aMIrocG3JRwdK+MxhAiZ5+4DXdl7cazGyZiYGcslPehxDsiDqWcRPf/rTW1S1oLPsxlnUvsPDjSufZZ5szdwYIhSAl+H9k2I/jWZgXnfddeUfHT/11FMFizYlD28UmzY2cE5V8BcsRokZBxy7qvYoA20CwWZnCHlHyVV2HBoxqNA2tlF7I/WVaZO9UtdVR1lz65sD1hseuGCIHDvhhBPKv0V6z3ve01166aXdVVddVbCRRxLaMa55uAv2YsxIoyP0aIPRLQ3nu+++e/k3SpQc+QibsJibJDTkqx8D3vjSh3gfa/Ka23gcyDpGViQdY8San3XWWd3pp5/e3Xjjjd0ll1zS3XDDDeWQB4tc2sKxOOzEqJeWL4/chDWObFPHDRI8Moo4ctEvLn0WgAGlf205Y9OGmycjyXwXH71JLMVFMIxrGyE0rnyj59fCa6PPZS3Gb8PZzDaxzcvwoTB8+HGPPfboHnnkkXLD5N/SUDIUjlsgG1p9eWh4Xg+L8igYG1o+upsWTkpemKWMbHb5BEae8a/FvFuf64MDUUz1aOCR5xjvXmZ1C+n/Tz700EPds88+W5QHvLmVJONgivEkrS0jCFalKRx4hEu3SP5DQAwuhjoP07DPRRnNuuwsk21/JnIAruAB1g477LBixPh/pQ6Sbt/9YheGYQ6+YhAhysgmJ9Fw8JNmtJOJsMYggsf0Aa9ukNx2wmNzr3Bg2YbSKEHzCvnZjw3dGDVDajIGKBcblVIgEPDLpvb4loJi4HjZ1Q0do4lwePLJJ4sCIjxcEYfHhAIaMKkMTc/gGVxukggH64UuY0y/UYiTR9lKZ5UDffkVPMCUMorF43Qn7KOPPrpgDw49GhbCF+WU+jmxw2K++O1xRhSa0zuDnUFPMXnUFuMfXtHh4RSGM55Z5X+b12QOwAKsCOEIFjctHPxg0aM3BtP9999fjHh4Izu9xwR/DCIGj8Mkg53xDp/oiDOUGPEMLGlY3HnhfTntObge0m+TRz87pcs2lCzgJDfrG70vaCfxopW9mgM2I4OFtymlvewKN4weG93mdsrxsqH3Rx599NHi/SrJ/+0jSKyDE5O62sAl5URgiKfcLRLhQFjoR7/NzS8Hsn/hrZZV4srgh7HEaKFAvHx90EEHdUcccUQxlNx0Mtwffvjh8is5bdwWwSKlJQ2HXgxnIDHW4VU5Ax4eYVHdyFJt+Ho887tC8z1zmIAZ+ONyEIQlnkz0qoID5B133FEM+M0L/0QeZuHHN8HIVdhFh8z0YjiDixxUT7jp5Vv33LLrp7lXOLDqhlIW+JUuZyvWhNny1pOSiIFEKdmgMON0zYihVJx48Nmpx89X3Q4dcMAB5f/CeRziUYj/EedXIU5O6BEK2jGwCAn9eMQhTklFKS1v9K31LHKg3tNwJO10DpvwKM+7HU7fHs052ecRsUdzsEhBwZh64rDs9hOuGfJO83xO7WjzDCT416cy9ZubXw6QVbAASwnFYUUIS94v4hnvDPa77rqrY8DDof/L5kCYQyEaZKEDJY++21JGu/zIWrhTl29uBd5RopTm2RFsk1wD2iTuvFRmw3MxkGAqfKUsnNBtXMrK6Zzz+MzjOS9oOyE51btpIhg4BhEaHrFRVh7hecRhPQgDLkKoJNqfueXAJIUAf3DkxgcGGfOM8dwKOY37SB9F4706OHS65xnwjHqPPmAt73+4BdAGHcoJ/vUjjGFkTNkXc7swbeKLuKgNaUY3mUhOwqHXF+CF4ePGnWckPfbYY93jjz9e3qt74oknShu3UDBGFvL5X25wqA84hFWyGNabe4kDyz6uRKGNY+isb/Z5NxTHrfu0+TajTckTADa8zcqL27TihIGNLE1pKdOW8eSmKCcqz+lzC+Ukr24ex6HPSILJGGPoNDe/HKjlU7BApkWuUSBwBjc8nMIUp75HanCpvrpumHjY471bxyBCg3KjqBhJ8CcfnrWVRi8e/YxBvLn55ADMwRXPwWt+NCCdMvm59XTj6SadZzSh4Ze/Dpk8w91BkpHkEAmDMAyjMAeD0sKGQVxegRslzJzkZt2QGJr/JN60spd+ZmqTM4Zs1PCTURMjiXIKjtRNPQLA4ziCw+ZXJ6ctvPWirXJt1CVInKYoutBBu7n55kAw1+cCJZF/TQRHcAenMWpgCpYoJjiiXNSHLdhlEHncxnCHRUrNTSgcynMblcdycKs/NHjxhs3+isxfmkFDvsEL3MEaHMEh/MmPsQ0zuZGEVV6bPGZzowlvHsMFnzCmXjCLw2jbE+ooa27BUMIQzMWoCAFxi7ASG3WcEGrMbxzAgeDDJufjYJBC4eAyTh2KhINbOE07bTiChaPE0lYdeNZfNr+8tFE/dBLKGypXZyM7vMw+z4nUC534xA/NP+uHB+FbQmWJJ6zr1XwbV17np37yEiZ/KMxYE6qPxig66vDBUHCkTXjCuOHgKZiimHh1otzglIHEyeMoIS/SqhvjSL40lzEG6yVz4U/GmjD5wrSp8+p6yqUT1vXq9jWdfvt+m7o8ZTX9lMur6aZuypPuh7BpPwvxjMd374UxGmIY9NvNSjqyzLw5OAwW8YQPb4Od4DNlkaN4bW8zvrgad9KhK84F0y+l5vvv4qO3USCeb9a02TcOzD4HCE4CkZB18iRk3c5R6ARqLWRHcaNWdKPitaIfVR6hjnbKE8oj7Ce5KIdxaSRXfwAAMPxJREFUdWLMjCuv+xpXZ1L+UP9D9Ifa13I5tBJOGlfK6rqJJ1Snpp82WxPWtBJPiE4dH0V3qFwbxhA8uglhXHqECZtCec01Dqw2BxYNpXQU6zThNEBO2xY2DjQObCwOOJlTRDEo7HvGiXT/hGlm4+RBnV/HGQJ1uh+X7uetJAdj6I2jWfc9qs5Q+ZChM4pmnTdkCKZuPY46nvJxYeomVK+ODxlKdd1RfdTl4+Kj2iWvbpO8Ogwe3ez5zo8bFm3kw27e3anbtHjjwEpzoBhK2SzCPnBTttIdN3qNA40Da88BRpKX4T3CpIQofjdLHhW5WYoBZaS1bEjcjVDi/Tp1elydvqGRegnrGyn0+q7fvl9OwU5y6WdcnSFDZqj9OLrJHxp/TT/xhKExKazrJp5QuyH5PjT/uu/QTViXjYsP1YVPY4TF/PNxj6HcKA1hY1yfLb9xYGs5UN5R0qi/YfrprSXc6jcONA6sfw5Q1FGGFA8ltHnhg3V8/Z5irdDquDZ1uo6bff1oTTrl/bAu68ell+oyt3HtM45x5UOGzLh20+YP9d8vTzrhUD/9ekknHJLzqTfUj/K6bh2f1HaoHjzmo4i5+fRrQQY8bA2t76S+W1njwLQc2OJGSSMbJ5sn4bTEWr3GgfXGgSFBvN7Gu63H44VYBhGDx34X/+xnP9t94QtfKOkhQ6c+1YfXCc1l0o2Temlft6njQ/wYklGhP47OUF9D9MfRTf4Q/dQbCms6dXzadnWbOj40v2nLa5p1fNrxjavHOPLlaT9j98tBv9yC0WYkjeNYy18NDizeKCFuU2wNyFdjQI1m40DjwLbjQN7h8SjD93/+6q/+qnyojoJiZAw9eosireXGqPioPLOsDZlRderyUVyp24wqr8c/qnyo/ag2W5M3RH+ovN9XXb+O9+sl3a9Tp8WzfqnfD6ctD92EoTPUvl8/7RL6oYE19M0fX6GGB0aS9+dW+7YvY2hh48Diy9xDgG6sahxoHJg9DngfyS+HPM5gHJ1xxhlFEXlvSX79aCNKLSFuJJ6wzhOvb6RSJ+E05XVd9ftuucpyiH49/37f06SHxjdU3pfLGW/CoTH06yWdsE+/T29ofP36K52Gn4zBN4AY9nkEx1jKPFa630avcaDmwGsDQhsmmybgS7pu0OKzxQFrTBj5mXgewVAOBJLHMrWiW8rMg6WltNVmCIND5UP9bo0iTF8JQ7ufTr5wiH7NH3sx+xHfKQJKYTUdA0mfxmEe3gcR97iDS7545pkxJ0y+Opz8+Bo/qZ9QXfPDI/3m9gcO4VHbur36fTdUvjX879OWznqMKpumvJ7rOBrLyR8aX007Y0morI7Xdeu49XWTk09JkA0+wJkvi6duaCWUr610fOqmrE6Pite0lIfOqF9kjmo/lIde8Juw7gcW/SDAXGEpHx6dBptDfaefSfW2Zn0n0VGW+SWU1+evvK1xNa2taTdtXTy3Brxbb/xwgPPuGnlR7//VHMvqSuFpudHqrRkHCBxgA0TX3DYOMAqnEUZD4FzuRl8u/SFBUG+0UYuw3PEP0Y8hpF4eM8kbGveosW7EPAqIQW6+FJL1hsP48Gfc3AjMSW5o/cLzcTSWuw5D/Q/RX66hl3mln4TyxYfmn/bwyWc/ajs0t7TdyKE5miucZV9m7ilbzvzQmuTmgcdD88d3siF7wSchIieSN4nGSpQ1Q2kluLiBafhoG2GZ75HYmE5NNvDQJjbtoY08ZCgsl3VD/Q+VR/CPG8dyN+JQ/07nTkZ4zTA1nni8W27/4+a1XvLhD4/MlUCMYUQwxnCfNNZpjPlJ7Rlpk9zQ+g3tkaHxDdEfwueksddloTM03rqNuPFbCyE5gU5ozDo2zR8+zB0ug9PINPMPX9Vdigsvx7VdLv1xdJM/1H/qrVXokyUxkhzmgzlr0L9RWs0xNkNpNbm7AWgDn83o0Yf/OO09AMCkwAmGAHOpU4lQWWr7IUUyRH+o/VD5cgXVNPx785vfXL5lRGhRRkLjGhrbUnm6ntrh7/PPP989+eSTBWuEXwx3CmqI/+pPckOKIP8iYhyNoTUYor9cQ2wI3+PGPU2+sQ+N30ce3aaoZyzC8GSo7TRjWO91nn322e6FF15YHGZ4AKP4IlyOmwceLoc/DkuMVHJUXGgN7Pvdd9+9GLLLoT9t22YoTcupGa1noxN8FMYzzzzTbV74fg7HgALGCMWSOeLPkKAYaj+C5BZZQ4Jkuf0PGTLLVVRDit789t1337LhGajmIy8nWMbCLLsYSnfddVf5NxUwZ85C/7YCTyY5Bv0kN8T/oUd3Q/gbKh8a36SxK1vu/gn9cXwYwvdHP/rR8msz7dXFLyEvb2j+6X+jhtdcc013zz33FEyagznnIAmj4/i6UvNdbforNc7VooPHdBPc4YX9YE/92q/9Wnf66ad3BxxwwGp1vQXdZihtwY75SzAUbPwYDLHapYFz6MQ9JCiHBPFqc3xI0AwZWkPtlzt+N3h4ZA3wG//1GWW0XPrrvX0MobwjB3fmLp1bzUlzyCPjcXWG8Iffy3FD+B+6UVpO39O0Nb4+hvvpSXTyv9QoqBjxaIqjMzT/SbQ3Qtkb3/jGRdlovPBUP46b9fmv9RrVvMZ78iG4802tbeWaobStOL1O+/EybQQfIBKIFLY8txpDNxoxsMZNb0hRjWuX/CGhPnTiHmqfflYrHOKPX3L4NVEMBnw3J+NmLFiLWXbmGIzBmxMkHiSUN8ml7bg6aE1y4fukOsspG8L/0PiGDPmh9hl79kE/HMKn+tbCOKxVv33oz2poL+aGUxwPhPg+xLtpeBJ+jqurr9V0Q/2vZt/T0A7+8TuHeHi0JkN7fxr609aZLIWmpdLqbVgO1DcZNr6NGYHgRD+kqIZO5CshTCYxd2ijD5UPKZqh9pPGpoxgneTQx0MGKyfOOJrGSJ1Ed6OUwYe5Zr7mH2WkbEgYDq3PkKIZor9cPi53fEP4nHZ/ZRz9cMiQQ59i4tTl0eCHxrZc3q2H9vDIu9nAixiL5g9by8VP1mOt5rrW/Q/N2/jwnXwQh0VefOhpxxDtrSl/TcCu42yEejPUeS3+kqCYJT4AC8CZE0Cy4G3+gFM5jMRLc4RElJsrUPjxazm3I4SKF3Q9R/aeiccj+XghkOvLy+Py9Ye2PDSk+aT1YyzGyDPs1Etb5fKl0VGecRmneG7ICDzjUc9Y0w/hpw+0Mj55aSdUpj36+ING0uaiH2Xy0XVT9Mtf/rK003acR0OZ/nl9aa9/NOfB4Zk1NHfrHh5bZ2WTPGPeF5utifpCWIBB7ayn9Qlv4dDaK9cnPmuvLr77FR6+Wxdjkc4jQGn0laOrvXL0pbXXj38orK5+pGEh5cFusKONfSKNLnxqKx8fxI0teDXexJWjh7ZHuMGMfGnjy5jR44yn5meNr+T3sYouOvrh9InOLDjz4sydMzde2hxrXuTgiB94bM2GXE0PLelgFT/RgUmY0R8MWCt1Ul+oL1jLEwBj4YSwbExoC/04JP/QOjIsOEAXftSVpz8hj44x/fznPy/j0i8+qGts9pX68A6ncKs/+eqirT9eublpFxrCxNPnEP/UMyb9ZM/qJ/lD7VeqfD4k8Upxq9F5FQc++MEPlo29//77l/867/8x8b74/PTTT3dveMMbitEktKkJbxuVz4a0EbNhbTgbQpk2BITNJX/nnXfudtttt+7CCy/s3vKWtywaFTYqxWADoa++PGkCg4DRnhHHoamecpv9Zz/7WalvU/sP5fqn3Agl4zJufocddihCjRBQx9erOYoWvT322KO77777ytxtbO83TCNMC5H2Z0kc8Kusp556qqztBz7wgaIk/IKOsrEWjz32WMENLBLcFNKLL75Y8GdteQattYcRP2iAHdiDKfiRD6Paw4RfQcECPDkQbNq0qWDeS/mUiP532WWX0jeco6mt+uiqd+WVVxaswZAxmoc6cEQx7LXXXp0XibXxwurDDz9c+CMdYwpWjRsW3/SmN5WPhFK6FJX9pwwO7QcuylGYdIm0P6vGgRgGeJ51SGfSZ555ZlljGIhcfPzxxwtGhdYSHqwxuUqeiJNpZCSsyhdab+5HP/pRd9hhhxUsPfDAAyUfbsg7WCbv1IUReCPbyEF0tttuuyLX/MuYO+64o9Q/5JBDCob9AlAb2LefePi1H9A3TntJXD1YhOnMPWHmv5HCZihtpNVah2Pdcccduy9+8Yvdc889V5SO08yee+5ZlAElQpgT4k4ANiKFYAMREjYToW8D2WQ2MgMFrZRRagwOG9yGPPzww4uQoAhjBInb7PohSNDkKUHjobwIFTRj+BAs4saiT+MklN761rcWLuvXGJUnj4CRJlS0paC1MTbhpgWF6RMLlCklqw6h1tzqcYCwtsbnnntud+mll3b/+q//WpSGf6L6u7/7u90ll1xS1sn6q0ewW1uYiJHMeII9ONSOcRHjGQa0YeyIv+Md7yj0rC+saUuBwDccUTxwGjzDBeNI2xhZuKEOw9oX0NHQ509/+tOCF3uEwjJG+8svAu2lt7/97WXs8K4c3u2p7Bfj1K+9AJMwTfnqmzM/vrm154A14RkSn/nMZ8rawhQZdeqppy5iDp6sMcPIgQyGGc3wBg/qM6jIO3jI+ivzaz2Yc+MPh/ZAjDE4QDu4VU6ewo6f3cPmddddV2QfYwv+9c8QsldgNofAyENl5Cp8GrP66gR/uK7fpDcSFpuhtPZ7ZkOP4KGHHioni00LRoJTCgHtRM24yK2MmyBxgvyJJ54oG51CUveRRx4pm4tQ909ZKR2nGTdUNj/nhGSj2oA2N4VCYLzvfe8rgoIwoHAYLoTNMcccU2irY/PeeuutZWw2vw1MKOy3335F+Rgr5ceooZhuvvnmki/vPe95T8lXxxgo5b333rsIG2P381SnLv0TFvvss08RPLfffnsRgIQQBdjc6nHAGrtJOu+888otDVxZX2vyla98pSgPRsYpp5xScKbMiRierKfTMgev1tQ6wxHFRNlYU45hc+eddy4qDMqEAmJ0wTRaEfxO1LnpUm5M73znO4txA+8UGmUD88cdd1wpVw9err/++oJp+PzEJz7RXXvttYUWPLp1gDO4ND/1jRd2jdcc4I1xZa/Ymwz33DQYH2+eXMZbEu3PqnMg/I6RZB3gimyEGUaFg5WbUPKPLDvrrLMKbsm9yy67rMgVeCdvb7nllu7uu+8ushAW4NpNJprSjCh4J/cYU4wghhRswT+5BsewCpPHHntsOWwYC2zDGbySx/ClvUMrDOqfgQ73QpjTP6zDI1zK1yZ6IfjL/MOPVWf8CnTw0o5ZAUKNxHxygPFjEzlJEN42t82VmxinaeVXXXVVEfo24NFHH102qeth7QgIj9IOPvjgsoFtOArjhz/8YVEmNrbN6xRNwTiFHXTQQYUuBemERaGhbRNTfk5TX/3qV7sHH3ywXG8TGgTICSecUPpz06BPpzcCh6dozAdtwuVrX/ta90//9E9FGTK+9M2Yo7TQ/9KXvlSUqbFRrpsXvkFFyAn1hR/NrS4HGMJOyYxhawYrBLW1siZXXHFFUUQUiDW74YYbihFhDWH00EMPLTj4zne+011++eXdkUceWQxtBgej+OKLL+7+8z//sygYbZyS4dTpm+JySochY9CGQqOcGPEMemM66aSTymM0eHISh0Xt4BRO3IJ997vfLQoL/oxL+be+9a2CJwcNe8RhQBvGvnnBmUff6OkXto3BYz0KVJl2lGb/FC+9kRTV6qJo9aiH7/0eYiwwXKy19WOsMJ45aQc3mGNwXHDBBaUeg5/B/i//8i/FOHnve99bjGEGNyMGjmHKo1vtGV7kKbySteg6ANgjcEPW3X///YuPeY844oiCcTeqeXStfg4f5J+DAXmOPkOLUX7iiScW4+6///u/S5lxw759yIUPMJe5l4IN8qcZShtkodbrMG0gNz82og3D2LCxGA82JWXDkKFIbFTCXrlNRqh7X4MgeNe73lWMFe0oI7cADA1tnWgoD6cTgp9A8AjuP/7jP8ppxemFwiQUjEE918U5saGvjMHmtscmp2Tuvffe7uqrr+5uuummYlBpZ2MTIsZKwVCK4owzJyMhA87jEHNSX54Tm7E59euHMHBSbG51OZBbSmuD34wj62ftKCF4JMTlW2dK6dFHHy3Kg6FM6FtP+daPMbV5ARtoMcxh1WmZwf2DH/yg4JaCYYy4/aRMGC5wC89wjQ6FB/8USQweYzQGiozxo19KT1/5cB7cMHLcMDn1698cjYnCcyD43ve+V4ywzMUp3p6h8L75zW+WvWi/wKIxxFCKghJyzVBaXWyGevhdp+WRTw53H//4x4uRy2g5++yzu6OOOqr73Oc+V+SLgydDGpbdJMFnbqwZy97ZdCNEvn3hC18o2IJVdewDayxk+MARLMAE2Uquwh8MwxJjnUxEF/7cSKJNpsI2/MGwW3SHYTKXYYW+PeVRnb7JbocEIfkY40gYzPV5Et6s17A9eluvK7NBxmUj2DxucmxqysNGtCFiPDFqbOQoEJvRRlPXIwnGCoProosu6s4555xyfXvaaaeVkz4jxxWxupSBvjxOyGZ3aqEEeQYLY0c55ZUbKmOMQaMfAsNNl7ZukoSEgfGrZ+M73Z188smFHkPJxidMGGWUkPewKDjjI8QIEmMzb0qTICCUmltdDlivvK9jbfEczgh4RjkjwnrBEMOW4QQfhLi1dIMEu9bSuls7hj88UUoeP8AHBcAARhv2KAm3jAwtGIA97dWBdf3BUA4SHhGqAx/a84wgJ39lmxcMIYcC84FzdIwJpuBLmvFl3Iwxj2aM374wP4pt08LjELT0y5jj4RJ+4TGegjYOvrnV5QCej+Jz1sL6WdMY2/Akj3ximMAb3DKoYIARjZ60dc8rB2ahHgOcLIPFHPz0BQcxmBlJcAbraLnlhFmGuX2jb/tG37CivVAdN/36cWNkrLfddtsiXfQZ8sZJ9pOzxsKhwYUXSZfMDfCnGUobYJHW+xBtCsI74HdSt1mccD339t6PU4oNSHEQ3AyNG2+8sQgDJyjKxgZEw0nm/PPPL5ub0pBHmdlk4jY2BWIzM2DQtek5G5qC0Y4A4mxWY9SeUiVECAtCxngIBEqMYolx49m7x3oxAI3Nxtc3ISNNWRoDGugSTOaGF+hRuMbT3OpxwBowfBi1bnk460iheJmb0nGD49GbNbVGymGG4IcJ7eHVWqtrzawnTMItw4NiYBhdvWDUM1zyqzZ1YcDtELrKGEEMMjiAPcYLjDFm4B52GD3HH398eXzrtE9R/smf/Ekx1mHQOLWHYwY8XBknRWas2sAiZcooUw5z8tDi4JQPpuXZP3wUlrzmtg0Hap5bA+7/b+/+WWUpuj2O+3CfF3LuOzAw9Q8PCJ7AQFTEP6CRkZiI+TUVxMxEBCPBQEVUMNBU34KZvpN796fP/WrZzkzPcebss2dbBb27u2rVqlWrfmvVquqe3rDw6aefLoGvhRhcGUM4Ql9Aw8/xWXYo+S3jz+/AAt9n7O9cBcrK8IZBPCR0/CUfCK8F3y0M4cMhyOEb4Qd/fjR67XusDWfkg032wteTU5t44KldfMhQn+vvItAF/lkCJZ1w6BTDdtZpSprpdmvAuDNGybg35gG8/IVg+JNxybp79+4SsLi20hVQmFAYr1WKYMnEYaJg6FbrtnxNVlbR3hOx1ewRh8kAj9dff32Z5DxmM2l4B4Vs5HVvAvQyte1eE5X3nd57773FeDkb72cwdoZtUrI17N0o9a3ErLzw42gYNOcB+2Qm0xNPPLFsiQv2bIlzYj/88MPiBPA0iZpMOSF19I2DuHPlrDgL9MpGPdLPTOfVAN17dOARgN1IK1569+6G8fA4wqMN+LN7KWAxIRhXY8TZ42HMOH+YdIYJ74MIkkwSkkBLMOadJPgwKcEzWpgxkVi5m2hMgGzEo7aXXnpp2bmExyZC/LQLt+QgEzvwyAQ+4RJGTThNPDD629XO08svv7zwJat+eY8KrTrq2qli0wJBMsA8rLvO1t3jN9OD1QB907MxyGd2rYwvM/aCHX6snRj5cCVYgUcBsUepHr/xNTAuePfI370dz9dee215B49/wpOP0hYfDFvwJtkhhWU7pm+99daCL23Z3fzmm28WGti5c+XL8HINLxa2bEzb/Cm/qA2BOjvSVgtW9kRm+OVXHXCcn+UXldHJJaT/+p+r5DEIgQ2KzkrjpHkJHZky/n0NNJlbTXPajOLYJChiOAyTYZgMOHuGZIVtVwcNR+5ekGS1zyEwXG1x7rZw8YFDkxkcCpwYk2fn5DIpMbZ2DkxiJj8rLS8x2l2wJW3FY1vYxMVgv/rqq4UvZ8GwTWpW6uThLLRRP9iCCVAZvna70JuA5euHPnJy6nFo+mKSMnFp22TGuai/NRnho58CQslY6HvHOA7ZZuexbN/1Lj5oy89RdT+Wde08ptrvPJa5jpdz2Cp/PLumQ7gzXnRFHphID2gOJbQwZpw5dRgUPHDeHuUaD+OGrxdR6dnjVngzRgIawXmYdzbxkIf8XpIlH95ffvnlggttWUnjBed+mWb84dFkhif84AGvJjp405487Tng3GTD78Khdz8EZej0Q8BjIiS7iU0ZG3Goo5xMJjn4FaChJxfe5NAefuTAh17DpPtxDLvuTO8mYwsCyWR3aIyq13mpdPXHfUd5x57XvNb1tsrR1/Y+2srj7R4OHPTpESdfpf8j7TEYRYOPeq6rQ4/y8eQv4EeZXWjjZWzQwBr/Aj9wzF5gw3gaW0EyLOIPZ/995Z/UsYvPt8AZPAhgWqxqz0IBD5jynhO/yWb82EG+d0fJx5erx/+SQxlZ4U1dP2jAmwze2yQHvLAXmNY/Moe5UQfpJL3vO5MjvaFJn2yHnZ2S8MVPch2+XZun6MHY/+tqQP7322+/XQyLsqpgoChFhZlutwaMteTdIY4fsKVjxt4K2u6OxMALfoDPIwfGysg4c0GFoIiRwRpagYsAg0HfuVrBoGOQDAw/9ByEFw85f3zJx0AELNo3cTB+wZrVkoDq/fffXyYScmkXbztLnIjAhFwCGcEVefCFd+XoTXoM2aRpojQxcVZk5Tg5Ag6BvORgYOpxKlZ3Jhhyplty7Erq2OnySEbSb7Joe+1I3Eudl5uNP/GJrDHVhoMepJFufV2dzrXfufzaqL7z2P/oO6OHAbgT/NI/eXJW6Na8a2M8o1PXWAooJOMEFxy4MYIjkxD+xkUQ4VAGV7CmLefG1ARj/MMDHMAXHMkjpzruBS36arLSJ+3Rr/ZhPKzAsnZNLuQOfzAEU3An4MEHtiW401a6cQ270Zgc5amnL3eusC54TA580y1+2TfacSy67ozWu4LsSj+zteTQ35G2687qq+e+Q15J2VYaee2i3SpXp7bXtNof5Rvv6dPh0auX59k/XGSb+K77L2+d0GRrrh2SMXDQJf8IHzClDf7ItTGDWWMNAwIT9B6/uuarYNRh7JNPHZjMBmDaWMNdvpocsMnf6KddJ7zhTz2ysSU6Iw9+6Oo//Aqs0MEf3eGBJ97aYi/aRqOupL10Li99LIU7/qCNjizdu/b5jGKWHVWPytI++fAlG53TlWufF7F7a6750ztKdaAW3Dtmur0aWDuP++0pgzHJwwnHDXiMA1+G6wyItmYZTw5AHuOTJzFGjhg9pwSwDE2+ugwCPafBGDkJiVGr43EdB2EFKFAil0DNxGRXwWRh0gN6E4hrNBwDmRmH+srx1Bb5yYcfmbSjfY4KP05Dwh9PPOSh1z8rr+RcCOefs2uAnjk1uDJ2Xs6GReNn8hCwuIdJ4y2ZEBpvZ2VNAvhI8KassTYJeDQCo7AAMyYo7XhkgRZf2IEbeHANU/DRJGYHlJ0I4tTBi5zagR14gTmY1xY70Bb59CP5sift4CHQUg7P+LvW9/qGhzwYdrie6fo0MOo7/RsT42n8jLNruIBnYw/bsKBufkgAHC4sxtAbezgw9hZpFoIwCZvawhe2+C6YZSfwBHdhyy4VrPBZ7dDyY8r5UP6uR4OCNO2qQ3a8BE3wTk70ZIR75/xkGLw+rZ+vpd8DpXEgx+vzNTU53UYNWHUISExCDNuEkPExeNcM05nhmkzkMx6GyQAljsIkIZ/xMTITCYOER7s46NGZtJRplyEyXKsaZXajbDurg1/bzZyCa5NIho63hM6KjYycirO+kI2j0Td88eAU0NoJ0LZ7NNrmrPQfvSBPW/VvaWj+ObsGBAOcs2QcCxKMbTuHxs1YScbL+Bor9QQyElwaQ7iBLROGPLTuBezKYFCQLVAxQcEqbMBAk4xrk5bVu/ZMIGi0iReMaBc28DSBwTtauCqhk9iLfpGFzOgcdiHkZzdkRAPfJkQ02tOGfIls7h0zPXgN0LeUvsd7YwJPfJ5xcoZBuHOglQ8rjZvy/KZ82IH1cJWvFbgoh0l14BRWJLYgTzlswpcEe/wf/0ZeOMcXbiU+jVzaUB8t7KFlD+SSB/uw65ofTfaFyf//2ZU3lt+063/rZINIuK7X55sm+JTnPBoA2FOS7yQxMI8XMsqMF1/OQBuMkiMQrDBMQZPEeJULLhiae1vReDJSzt6EJz/Hoj7jZbSSeuowXk6DkyCXycmkYeXjWlDHyE1QOSD0jBov9TkRBxr3gjITEoPnVOShZx/uycdZ6EM7VjkgNNqZ6cFpgINuooEJ40T/8GKcjKVxUgYjxklAYbzhBB459HAKD67VLQ8vk4e8JhU4whuNPPjVLnywA/jFizyCObTy4V4QQ54mEhMLevUFQvrDhlzDj3MTjnayEXzxRKtd9ciYLeEpf53ILKHPz69p5v35NDDqGP5KxgFGjHFYUA5P/Ip6cOYeBvKrAn/jLh+NOnjhISDCU32455uUwZ98tOjco2UTsMgm8BsXg2wEfTtDfCgc4gOr+MKQNtiRezLipV6yjf1HLym/pPT7jhKh61gdGDtY3jxPDYwa8HJ2KxyTCaNnMIyPk864GRcDta2LhsFx6CWGm1NvsvD4Q6CjDp7ynU0A+EuMmdPAm6HnQBhkk5OzSQWeOQcycRDeK3GNbzwFSNpAyxl4NwqtCQhPMmuzCRCde45JXkGbe7yTs37O83k1IGgw7saGzo1T45zu4Q0GTDrG1rii59yNnfrGDh0e8IBefbyMOWyqDyfKBd1o8TIxoDPeaPFTXwDUIzG4lJLThATXAr2CMDTq4NMEh14fwyScy9OONl2TU7myJjZ1ok3jaNVxJEvX0czz9WigcYC/xtbYuZf4EXiEH2M55sGGMYcbWBPAwCA8orfzA6vGH538giv3EhwLpOBPfbufrtWDP21L5PT+KNnYiAO2lWs/u2F3+oE/3rDGl+pPGMPDEd/l4kL+/ClQuhCZp5g3SAMZLGPLQEwkAiMGy6ErYzTyGLY6DpMMI+IUGJoyBwNk8IyMIaKzqyNgYYx+Uu2lWo5APTsDykw8+Kpjh8uvnND49YVJkfEyepORIIlc2vB+SNvKAintaYeD4ZTw0D7n4JqMnAwZtaVv6ugrebTDIehXTuIGDdmtEkVwwbHTN3xx4nRu/IyJe2NkLI21fLRojKUxkpQLpgVE+BhH1+jkqwcjHve6N9Ye9zokOIEPvxKys2hH0yLC951MQGT0iyJtwx1+3gGBIXgio/bgmFxNgujcm8DIqJzM7vExAbqWwideyuDaWZsd6ab7peL888A1QO90PiZ5xt648hkOY+gMg8aWb+HT5MMver5MHXjkr/CFczhxDx/eG/VOkTy8fEJDMASngqo7d+4sv7gUhFmMKsdbW3AIQ+TDCw0eUvakHKbZCfyRDx37cCaftp3Hvo86gO1LSf/eZTA6Nh6X0pkp5/1rAFjHsXZ9P4khMD7nMTEik4nE2PBlZBkOIwp78jMgRqouByFxGupLZH311Vcf+e3qF26ff/75siVsonzuueeWScmvUxgpHr5z8/zzzz/ywQcfLDw4Ge0wahMow29y8jhEHUnbEnkyZG3gK+XQOLHqcBJ4cTQSZ6O9mR68BuDImEjGwbiNWMzBw9+6zD1MSMbauEnGDuac8YTFguDofadL0OLbWpIJwgu0L7744vKTfZh65ZVXlk9bwKtvKf3n6gOTfk4NK2xGwEV2fZC0JWm7dtyTy4QkZQvwpy7Zqlc5uU2Ya7tc6yB8L4znnweiARiTOtfIiMXGgf8Iy8bbuFcm37Vz2OCX1IEJWPJIV5D+9ttvL4tDn0VRZmfed8X8WyefxvA5AAG+T6pY1PoEhgWkwAtG+Ef40b5rbebPkqP+jNgkDzkk9NlhtHjnI9PDpZzveZhLkXbK+Y/TgADFZOCXFE899dQSEH344YeL4+EU7Bz5B5F+AWIVzpm8+eabyw6Q1f1MUwOnaICzhysTgGsTh+9zeXfto48+WiYtK3JYMxEJtK3Y7Tj6vpLPHtgB8H8JvethYjHRCbLt9sw0NXCKBgQkgh24Ehj7x8j+ubMPrcItvPolsH8QbhcerZ1//+jZN798T8n3u+xu4gHXcCro4V9nuqeB+ehtIuFGa4CxW115fGFVz+CtnKx4rE6szjkLjzWa0HyEzfdPrOhnmho4RQPwZbIJg3Z//DjAF4zhDfY8xrWr49GvD1lasXuUYQLyz56t1L3rZtXuwOvO1aMPwdK4G3SKnLPuP1MDdkw9vrWYtNtj98hOUe/fCXgsHgX6gnk/jPGrYMnHFP0/TPXs0MOjx3WCfbiE73a0/pna/aPXc0fpD13MqxuoAZOUxwzeEbJS/+3qMcbTTz+9GDPD5gBMVlbznss3GT322GPLhHUDuzRFuiANCMZhTJAOZx5lWJX7FzzegROww6cJyyMGj9y8G2SlbiKyeyTfV4S9AA6/giR1PIqYaWrgFA3wgYJ3gQ0swqpdIf/SB17tyHsnUzBUsN8jWPl2QwVHdkm9lqCswEqdme5pYGpiIuFGa4AjKEByLRjyaXnOwQTEOUi2lQVJEgdgwpqr9UUd888JGhAoWa0LjjzaMPGYTHw40lfsTSbu5XtZ1m4n3FmVe1Tn8BFMAb/Hb+0wCfztBMw0NXCKBgQ/HvO28+ks4OEjPUqzE28RyXcKnGDTu3VwKt//yvzss88eeeGFFxas2v1EK/V+3yny3Za6M1C6LSN5S/vRljIj96zdPyo1OQmerJ4YvknKy7S//PLLEkB598N9L2bfUtXMbl2DBuwgCXYESR5FwJoAyT9t9i4HDKIxqXis4VHGjz/+uARXaP37Dzj8+OOPl3J8BPeCJBPcTFMDp2iA/xPMC+TtDtnBfOONN5bgXQCv3A6nRaWd+E8++WR5edsuknI7pRad3gH1r4RgWFAP6+rOdE8DM1CaSLjRGvDeh8nFM3ePLjy2eOaZZ5Zzj0Heeeed5cVYqyjvgnAaginlM00NnKIBQZLJx8odrgRE/kmy85NPPrngMqzZOTJp/fTTT8u/2Xn22WeXScgv3by35HGI1T5+6BwzTQ2cogHYE9DAlGv/1BvWYNOukd0hQdHjjz++LCQtML23xE96t84O1N27dxdMkwPeJfgWeM10TwPzZe6JhButAUZtchEwmVisjLyw6FHbo48+uvwy4/vvv3/kiy+++P1/zlkh2VXiPGaaGjhFAz1CE3TDoBW4lfjXX3+97B75H4P+96AdIu8lfffdd8sE5B05uLVr9O677y67Tx5r9F/bPRYxwZncZpoa+LsagB8Y+/XXX5dXDrwDB5sWlHYz4Yw/VO6FbQGSQF8A5TGwHXsveXsBXIDlm3SCKa8x2F3yC7mZrv6JsYlHYvwO9x3lLwTzz63UACPqJUCPt6wovMxnReF+K8HMg0yw6PGG1by2fMTPI7hW5SYoZd4ZcSazVRLn4ZdwAiZOQT/lh3P1R5zv6wOaQ+nU/pNt/GWJnQvOzcSM9zFjcEi+m16m77b6OWxBSbuA8ke97OvHqeOzFai0whbUFNwYFzL76T8cwadxIzscOvvFm/c/4C7MaYtdSbCI39b4poOxn+P1qfgb9Rqvzsq6pgd9gVdyGyvn5Bv5XNI1Xeqjfji7T7/uK7NIM2bG3Xs/drnP0X/8D6Vk2UdDJj6OTDBITjvvAh7JT/zxgLt8pL4Kjn7++effP9Jrxx4+zQVk6rHyVvv75Cr/VHzon35ZMPeYm83J39JdMpzjPHeUzqHFC+YBgCYpE0Hgy3kD+dZEsgXWUw2txxPJgR9n7V7bnqW7dyhDT35lDv3Tr8rlZbzoGd2htCU/fqck77E0mXK85K8fXZ/C/6bXtUOj3/TIIYY5Z3owdofS1vgcqqtsa/zgrDaidQ5DgvMCdLT6IqhwVs+u0tgOGuWO+C4ED+jPOdoIh+kCT0f6eECiP3S2+mecCm4b88afzzxVv1v1a3OfMsgn4dP4kK+x8SmLeIS9ytx7/FZd98r4RHVcx39f+1v5W/3bqk8GB59OrmRkX43LFo9zlB/2QudoYfK40RqwMpScgXEEtuuM7GF3grFk0GRpAiUzh+VAw6knM3rHmJcDqD8M75SE/ylJoNekmrz4Jeep/E+R7Trq2toXIEnGYjz0/dRAdqsPMHNMGsehOp2Vtcgo6I2nsnVdWI1uLKvOeK4NeSNt12P5WK/rLXxv1TcZoXEU3LnW/lbdZLiUsz6NenUNn/xHQTx/49qZjW7pd6vvtbePbkvHu3z2mpc2yIp2pIdZY6oN5fpZe8mF/mEm+k02coyyeprg16PXkWagdB1avsFttNNisvbrCCt84GRADOfUtOVIMsh97WTIDCQjRqueI0Me+WjTvXPtV3/NgxEeSiPfXXTx31V2TJ722/bOAXNgyb4l3zFt3HQazs43iYxNE7N+08GW/rfKT+07ObTRseYHfzBKVvKjdx7Hr7rJiia6Av413+7Da3Xlj9fR7TuT45QkkNc/CS9yd02O5FsyL/jPLp3qq+9feayVn+QTPVplq/K2fOQuvqOatvR3bP3o1mcLjfJq1zgWJOmHlBxolRtz1/nX6t7vOb73Wy/66pufyMI/ePxJ715Sv640A6Xr0vQNbadAhOH4/pAXU5usGJnrQ2lthGvaLUe9VZ8zamJpclGnIye+bjda8ncdTTLhcaqj29d+bW2de++DjHYaJPKRLSexxeOSy+FOoChI5wz1Pee8FUToNz2dksLCPh6VNyboatP4wI/7jsqjCV/dR9d5a4yVVzfeztKYfy/nr3+T/68lx+V4FycfgVf9SR9b8h/XysOlosf6kU679689vNQMm2Naj8tYNq/Pq4G1rvlKryx4nypfcd4W/8ptBkp/1ck/KkcwVCBhYhKYACYAOk51tFv1c0z7lJ4hkMkh5aTVHR9hlI9Gnwo+6h96NMmEX9fq7Epb8jVx7Kp7TJ7VKR4ObdG/iYnM8rbkO6aNm0zjkW/9bryMOR04jO+htDU+h+oq08ZW0sZ4RA8/8tfYVF6e8eu6eurIr275W2f0Uuf19VK4+jPSroqW261y718ZF8fYl6538bzEvLUejJnkC+r8okUMmmxVuXz3h9Ka75p2qzw51vW6D7/ROXeNRrk2xnYaT3ThsLM68tGMfOT/nYTvKamFcvq38OUf9Ke54RT+x9adgdKxmrqldCZqgGMUGR1Quj+HI9gyttGAj1Ex+tFpM0T3kjIyy9OuI3rX8h3y3Ku3ZWxoDyV8TkkFqqPsOamttk9p96bUzRHqM9w5OyS6MZ6H0paOtsrh4VAiCx7xcV6PeTzkd1Snc/mdm2C3+reWLTnkj9drunPdk9c4aIt/SG7808252nrYfPRRf0tdw2g+0nild3ldV2d9PrV8zW/f/djOeG28sifjR36Hvo1l9VXd/KS2tvzjPnnKH2Up737P5CZfvMjnRzruT5XvWFkOe6FjuUy6i9VAjg/oGBSnKI8x2W7OyPZ1MPDuK9/Kb5LZRxf/zmu6VhgMxkFePBmW63EiHh2APjrWW+pr/vvajW6rPLp959FB4UVmcpFV3wQPtzk1VvTg2nhJ9OBIP/t0sKX/rXK6PpRy0tEkz3hu8mnsnMsryCCHQ73xiO/9nutX5/utfyw9/PU+jrGp3+rTnX7ehpQexzHSr/K9F+Naf8ME3bg+lGD6UBr1uYvufuqTL3njZSFMTr5xbMs1nPIxXRtP1yNd9hi/6z579GtXU9I3fXGQ+zrxt6A8RY2OacuBXLfC/qntjaDd0kFG0nmLvvKRnmFkHGsMRNdZffJ13zmZO8uvDMak8qJZMnf8Gcvj0Rm5iUjiUMqPt7zaqxw/5Ryco3I8xvrupa321a+96t+r+WfdlLfvrJ1WR/HhEG57CmP6TAfu6/++c2PiHM0xeoq28zF1Gl+0Yz3X2ocrMjuSS5mxrC9hbCzHT1155cuT1O+4l/PXv9XpXL3x7HqrPNnGetouqW+ylUZ8yl8HTtW5xLP+1G/jUuIj9NsnVNC4ju6YIBEGStXrLB/Pc6VdvHpZO/9HnsZcXmNKBnKNssmL1vWutKbfRXNKHuwlQ/YkSJLy38m9lmWXPv6uLH8g4u9ymPWmBqYGpgamBqYGpgamBm6pBmagdEsHdnZramBqYGpgamBqYGrgdA1sPmA+5/bV6eJODlMDUwNTA1MDUwNTA1MD16eBuaN0fbqeLU0NTA1MDUwNTA1MDVyYBuaO0g0fsPULajdc3Cne1MDUwNTA1MDUwK3SwNxRulXDOTszNTA1MDUwNTA1MDVwTg3MQOmc2py8pgamBqYGpgamBqYGbpUGNh+93areXmBnfEPiOr4TcYGqmSJPDUwNTA1MDUwNPHAN/B+NfsbECj1N3gAAAABJRU5ErkJggg==" /> </span></div>
<div class="Default">
<span style="font-size: 10.0pt;"> </span></div>
<div class="Default">
<span style="font-size: 10.0pt;">The following are the transport
strategies which can be chosen. </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;"> Standard Transport System:
When you create an object, you specify a package for the object and write it to
a transport request. </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;"> BI Transport System: When you
create an object, it is automatically assigned to a local package. You can
subsequently use the BI transport connection to collect all the objects
relevant for a scenario, assign them to a package, and write the objects to a
request. </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">
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<div class="Default">
<b><span style="color: #215a8d; font-size: 11.5pt;">Transporting
Objects in SAP BI </span></b></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">The following step by step
procedure gives detailed information about transporting objects in SAP BI. </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">1. Go to the Data warehousing
workbench (DWWB) using TCODE RSA1. Click “Transport Connection” on the left
hand side. </span></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;"><img alt="" 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" /> </span></div>
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<br /></div>
<div class="Default">
<br /></div>
<div class="Default">
<span style="font-size: 10.0pt;">2. Click “Object Types” under
“SAP Transport”. </span></div>
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<br /></div>
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<span style="font-size: 10.0pt;"><img alt="" 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" /> </span></div>
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<span style="font-size: 10.0pt;">3. Choose the type of objects
to be transported. E.g.: To transport an InfoArea Expand the “Info Area” icon
and double click the “Select Objects” and choose the required InfoArea and
Click on “Transfer Selections”. </span></div>
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<span style="font-size: 10.0pt;"><img alt="" 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" 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" /> </span></div>
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<span style="font-size: 10.0pt;">4. The prompt for choosing or
changing the package appears if we want to change the package. Choose a new
package. </span></div>
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<span style="font-size: 10.0pt;">5. Choose the request if it is
relevant or create a new request. Here a new request is created. Click on
continue once the new request number is shown. </span></div>
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" 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" 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" /> </span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;"> 6. Click on the Truck Icon to transport the collected object(s). The transport is now created.</span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;"><img alt="" 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O4l/JfP7UF+eoTC21Cb939quKb1g/gW7MuD8Ef1h515EIZZLCaQeSl4+bg+vL4A3B4v/vnfz2Pf+15GYUE+2/KTp03gZtU72LwyCZMTDvLOm8QfDypK8xAfF4UzF2oUz1pRUYCY5Hx0OIs4BIHx3UV6kxChRxRx+typY7Db7Xj55ZdZlwsGQpdP+zHUP4CjJyqxe89GTDn8MJm4UP1jeO3VH6AkPxXJidEgr4bP7SJQ9QrJdT43am824lylD9evX0Z6YiRa2vpxvdmGc6cPYHF+MsIzkuFzOdkvvaxewOtCZ3sHTlwcxe2mDsDjJDOOw7lrLtyorkQMO5q0tpyPOdltHVwEzDQJwAJzvntSF34tQOBeCAhDDJAZhYoIvy6uHU+QOZPOwO/lWvK4MTg8CScZrKxLIbATZFRRkXpER0coQhfm1ytCjzADP73wuqegN4Sho3sMV25dZTtN8EztRU5OplqbOsUsPeinIB4ebYOVy12td0UMhXEIL/UHr8k9/mPzwljJ7jQBwhOAwaxXTEZd4/NSr550wy/KAp+fJgP9/g8Oc0x+2CKt2LllOQULywxdkmonRkZx8J0ryF+US6WCQn3Ai3eOXYDNpEN2ZpIitsIg7tAlkiWOzzutMWfpk7R37Fw9mi+1YsnydKzfVgGXcwoTDi8iIyMQbiF82HO91EM4C60SwYTAg4eAFpgqRs47imnyOv/XnuE1YSYCn5n3+XOmiIAjD5PO+nweBFxTfGP+EqYnPXZPo3dsGlGx0bBQ+NL6RpgTTqopvi51yLjvCFDSRBioilHYEH7Evrv92hwExyLXBR78Xxun6ogfXuKZUcGJwgBrMPC7NhZtngRX/NI261ZzGJx/HfnNCBW4I8evKCEyIT4aWzeUI9xqgt8T4i2sf5rzQbydvwQw7pjClMuPqBgbwg06OKe90JsMnHM2RmTxEYbSnpprDkQxbiKINh6ZNw4uiIjCmmRox89dIw/rIa4bsG71YuRlJSu8ENwTRt3c2oaYmBh4PJxz1h1gn4f7+3DkdA+6eh0Y6O2jUlqKk5fG0HC7HX6XA8/szSbOaUKswUjmz+IN/pbvgQD7O0dRV6VhHxtOT0+G2ZKPoWEjgV+MnOwiFOZH8JqZAyICqGUk6K8VkSgaW3pQWrYSSUlpGBoaxOTUJJYuW4sIWwJu1rWpiZH3pEg7gii3GjuRX1iKrJxCjIyOUAoZRfnSNUjPLEJdY5eatNA7WksLfxcgsACBJwEBYd7OaQ8c0wGkZmQjIjIKNls0114eJpxkksLBheiota61KOtWiJWbnzfqupCWcBXlOWdx5XIVmYgHRmoaAZ8T1w5fx/dePY7vn6nEpEdHrdqNiSkfmaAb/QNTrJbMxqsxAvXJNqbI8EYmSLjI4Lobx+AiPZ50TGB0ghqxnoIBhYv+UQekW/yf1yw4erEfn/rNr+Dts304dTsCA2NeEuEgjeEzLrcXLraze/dybN9Zwn+p0E0NkbB2UiARLe1uWibjE7jImKWPYj14+0wDHLbNSCx4AadP18E5MoQf/vNJ/ODNc/jOwToMTrPLwhAHxuATBidMZ3AcDmralftbMTLpJ+NwKwbT3z8KJxmBntbHibFJjDk5XjKzAAl0/8Ak4X2nPxrc79BY1Tc1F1r/QvdDnzJXbtLco/sr8dqPzuBbp2sw6iWdZdsDQ4ShzocbB1pw63Inbl4egY5MbGhgggIEmTT742B/xiedqDp4C9ev9KKrZQIBwmBMxkLhTZi3yzONgeFxhRcCu+7qJnzj1Sq4wrw49Trx4Mao6uEgx6KEAql3cgLVB+rQ0UmGS4FQzb8aJ2Gtt+KNY6347Bf+AcfYp5ONVgUvJcxx/h42Zh37MN5hxze/cgTfe/Mk3tx/Hv0ON3oEf8hgRsbGMTzGdik0eCjcDA47RMZE7eFmdNg97I5LmzclMHgUT/JQMBQe1zVkxBf+8N/xlX89hkvNkajukBFpRXBsakqEBgKYFwVPBB4369qRlV2IgsIyWo5HyT+H+L2E/K0IteR1bjJyQc8wdqK7ow0j5JOi/D6ssMtaEcloYDCAi1e60d5vwzg14ZV5g/ju682Ii72MfbtXIzoqPPS4WgyCiMOTBsQakpGWtQGvvUNV3m9CMRdaetZSXLhSixf3rL/rHZEy27sdSC/KRVxCOM5Xn2ennVxM59Dd1Q3f5BA+9dFnZxbbzMsLXxYgsACBx4aAEAkHzYhmSzhN1yaMj5OgiQktkxqH0Ypu+yBSU+Jo2btDPITx9AyM4p2j1SgqSUNPayFaHakoKl+Mv//uDXxgRwEsQ72YtsbiM59ZhZ7uXkwO9OH0YVrTlq+AqfcmzjdbsH5vBfSVA0jdmAr7uV6YMwO4UVODcUMatm0swGTbOEaddtxsbMCIMRHvf241xi5dwHG7CymJuXj/3kWKeX/sc1/Ctu27sWrtWtR0jLNvjUpzCgFHiKlJTJPst6KivOAhc3z9zBj6Jpvwvh2FHCvv31OUpktGfYwmSpOJmtlkL0621uJjL66BzkPm6k/Cs7uzcOFMF3p7x9FR3Yiq4UGljGRE2nHocAv8eaRrnV546q7AYYpF2oQfN5rbkZJZguWlBpw5VoXb7nDs2lQGdNbhalsYireUYV1ulKZN39Onh/0Mo5bccrUD1qx8fOZ9q3GrlvCcGEP9+fO42GXDxt1LMN7ngDnMDA/0aKu+gXNkiPHLS7Eu3YWzB2+gyxyH8YttsBUUoDQnA7GJt3HwtWo408uwd2UETh69hAGaTVds3YYthTHwkk8H7JMYGidj7wnAFO9BU+UFHDk3gfwtq7A2fgzHT9Zwe9OHl/KSMHLiJq73WFGxowyrM2iuhgmf+50/xIsvfQir167HlcYeDIx0KkvDw8ar7nM+neNeZGctw55PZqPyRDUqq/oRN0wTud+BC9dvw5eYgi2r0lB/9hKax3Qo3bgC5n5u2VJrr65sRvXQEMpLSmBKdiHWHIthjxml2dEoWLYJ//bv30F0pAVRqcW4XX8W+Qk0MAtSsShLD3+IAKH91uFWUx+ScrdQAHOhrr4drRTGElLzERdXxPm4AAe3inVGHQzEuWuXzuOdQ2/i9/7kL5GalqFZSLSq7vurNGe5Ko1FRQYQGe7F6OQo7INDOHOxEZt3PI9Dp1rQ0NwdNMncqUPs5fFx8bwumrWO+zMR8PijEUszgy0qXi2Q0CBCb4m0EcU9HKs1im36MOWJxvC4GSbDBHY/sxxd9iH09A0/+kSFKl74XIDAAgQeCQIze29cizZbFM20NmoT3L/1TmHIN4TeQWpYIWokNep1aD7fjN3/dABjv/1VjMYnYSInHd86YsBffPUz+ORvNKGRWldCYhKm+npRW9mP0b5JGN3ZWJRkwGh/Nj7xkcUYvtKKvt5prnsdHNSkx7qmuRW2AnuKktB3he+MTGOs1Y2ignVYFZGAtmudsDvT8fHnVsA64CRR5zYXNWk/teeCVTsw4uHeMzStZPbARSNsae7Et75xCK9+9zS+8/8uo7p9EgFjMk5faMGJczfvo2XCxMWqd/LsVSRap7HXehTec1/ERzdZsXlNiaJvg/2tePPgFRjio5CVEoGEXCuZthe153tJhF3Y9pHdeHFzFqadzahhe8uLC5CcboUtWoeGS/24VTWCnJXrsCczAWPNPTh5zI7psDHcutEOLwWJIP2fPZSHfmevqYm5kJUejYhwK1YtpZ/PCJnmaD4+9lIRhq53wE9Tr95I7d4zhQuHWjDsd6Lt1m1UXxtB+rJ1+PhHVmDtmgosL4zF5PAEGo6NY90Lz2CZbhwttUOw+gqxb3UFBq+PEvZiRTEiPtaGfvsIrKTlOprd7XXR+NBHVsPErcprl0dRunkrPrApG57BPhw/1gNv2ChqqzqpNevV1oQ+PAq5y7ZyDk3Ub8X8/NCh3vWAmMqt4WZEREUiMz4Z+k4Hhge5ferVIZ6dtBid8E9yz3gwDR/euxL+S32EtWYZScoP57x5UHeD2vWkmKoH6FdgVoxygoJrbukahMXnK8uHgbj/oCL8LCIiXPE70cjd5H8jE+Hki3EIj4xGeHjEzOtaTQGcOX4YV86fIU5xS2nm7v1fZjRnYaIGkxsbVidizcp4+BxWfO0/urFu3SKMDRGp0hPm5PJqb4TAra89imhKCoP9VxFj28QFyArnaVndI2NvazmPsVEPom0B/P7v/Sby84to9vKhoakL62nvXygLEFiAwJOFgCxLcdLs63fQkUX2Mt2w0gnG5ZrEhK4fFoMFcdEiOPPBYBFGbdDRv6SpDqM7lyE5JQrjgTHEBRyY6HwVpTt8yFoVi+a2NlqnLai51M56qZ3quSUWTtM0huhISvMrnV5sNKO2tdnRMeFETpqV678fHRYLwqIt8JM5B6ixW81W+KZH+DzNkroxUBGnKVjMi2LM5Z4y9xZ1BuqBJG5OsbXfoX+qx36qHDHUrIz/chmOkTGUcwN8Pbf6Kpveonlcjxs3b6GCjjoWvbb/Jy+J1tzZM4K4KAeWes7hnw70o/S5T2HN2iU0z1MTpuacnlmKnZ9egmg6y0319uDK2TaE2YxwjTupiHjQS+fYWPZHF0hCSUYS7B09GLzchHEz2Y9+mvuhFjjHhjE6OAlzQgyiY0mcTVakR8WSQT3YUUkNbI4/fhiRlu3Hmct13ONNRnXjDRSkk3bqhtHSqYPHaoZuwM29ZDHxGmCLM8JhMCEjKgExkdwvHepHbx39euhzMG3kXi81SEuSD33d1Ga59ZEcaYSZOCFikGmS+6yErTgcWilg3brVA5ue2yICP8s42ttpiWHdyeYp9Nh7MMI92IRCznmMHhEcZ7Ythk/KLjTn0OllHdShKUhNcwvixy0B+kH0UpFrrDeirrUVlkXZ8J8dxlScAWEF4fDedGDE7KSyOIa2bsI9zoSIPiemR0bQeLMNOuLl9ISb4zOh9jawej1HSAdAF83bE1OEF/dR1NbLI3QtxM+6Oq9hZLiP64ts1dcCsznnrnUkz5nMFnz6N34He174ANeKV8FivrHPMGcjN6rrGmoQ7m/C2LQFlqlBuF2JaGjowcTEOKWlGSV7pi5pTLi/2UrpSW+k5NIM59QEO2Dj81xsROi5i069I/tHU5Od6GztwF/91d9g565ncPzoW3hp+6+8KxPP3G0tXF2AwM83BPTUVsTEq2nDJBCMjoiJscDe1QIHxmGI1ByuwjxG5MalK41kNqvwU2BevmcV/v1vP48fGmuw09WCElsWrJtr8Buxo/iLj34CRvqleCdqcfJqKwq2VmB1eSz6qAWH09kzt1CH45XD2PML1Ky6W3DgajMKy0sQ459EZXMbJuIW4Zl1aRiPGkcY+aUlkc6oNGvrEyLQV9mCb/ywls6lq2EkA42gI5ZjoAkDXWRs5NQOh4PMhOObRWrEAatvyoHbNDOGk0k2U1PJ0Htxo2INPCSObdVX8QkhukHlgfqUQpCD71yCe6IDhwYN2LL3czS5lpExU2DgfUNEBApX8JO/PNSWDdynj86OpznUh6VLo1CcGoHDP6rCUHYxlmwqQtoSG4bIhKMKUtHUPYDFW2ORnxWHw6+fxLWBSPzyy0uQn+zB8at2pNKkLcx51hAeGWHF6Sqb2nLj4DW8cegysleUY9HiLIQNdOBMzSiefakCnvhh6G10YNNZqAgZcOxYPaLTIlGyOBXnDlzCldEAKtZFo7OXpmJq9UXlcTj0H5cRKF6GRUXh6Lb5YI3XIZeWeD8dxqIzYlHI8U/RdyGSTM4cHQmj14FDJ7qw9Nm1KIubwuGDVzEcmYQ1i3OQanXgdC23SzhOMU9EWXUY4dZFr1uc6gJ0tHPAlGMgLj5aod8abCmRxJFa/OgtClGLSrCuJBHtU0byHhdqhocRnpuHzFwb6k4P4VqdH1ueXQ1bxxgsqTaMjsZjgHO4rMKMcVpfsjIMFEppPabWHUENv67mGkRjdjCSIT9O9peJXyyyjvx+Op3xc7adQ+RYC3mg0RROi4WdfM/IbZO15I3iXHlnTB46Ym7cuosOYu9Ta/FhTs6KOcuijYuLwO997hPcr5DQBHoYktnmd/WisroNn/rFtRCvOnlOPPKkiBnbYjbRTNVByePf6CHZht/+9Hp09dhw5NB30NbehXUcvIFMXXkxBt8RwjDlGMPb+7+Gns6bePmFXJoF8vHFP3wFRw4fwPaNi1GUn0bHMtnQXygLEFiAwONCoG+kj44/TjjpfGUwRHPv1IeY6HBE2Sz0nI1ENwmKQcf1npTJ7SaTChOScB7RJqXIWpd1+/lffj9W20vxu5f+EWf1tViamIe/+uynYPAblPd0waZylGyu4Bvife1Haia1LBLzJVu2oWIbtTI3PXtjS/Ab3KvWca+0r74fL+Xno7AsCh5qwxmbGLJEQidetbq8aHp2OdF+PRxLioqwa08BmTOte5YwfGCll45dIc9qg+pza8eU6qvQqCiaO3/pcy/iByfa6IxjwPL/uoX0KwJtJ+wYHHPjj//sBTq1cTuNMJEi4xM6lRxvQ8dkPF7+tQ8jPzuJTNjNe5pSYoiJQsXWaEaRaJpfGLX95z6whVqy8BuGVtGR7aO/nq3CrKhUKsUkPo5KyyJ6erNP4r090NgCU0wSdpYVoKQgBpHmlTTP02uYDkbifa4nQxCIC+xlHFKEdso/kSXmKnJdpzNh375N2CcPEHYS4VK+YweW7xRNmNruJk6EAJYlEIjHx3+1RPPAZ5+f+aXn2KZ4dOtQLv2WsZBJ/cLnX4KOeCIaZHw6FUHyqARWI97ciUXJSCFYpLeioKl/WIbPlbImtu0N2PD+l/cRf/g8f+vS1mHxJh1xgs5Y1JJjI3T44Cpq68E51IcZER5h4rbGnTELDEJ9Vh2f9UcExyiG137mix+iI6LWvnhPL94Szt86FOcXKMHLOTqGDfu2onBtMnHUC386LULU+jNzNys406MPZ883IWdxOiS60M+53lDgR0UaQ9c4LpkDoylCRql+9/T00ExtYShwP/tOL3rCSsd1EWDdB3/0NTQ31ePF7fGoKMvHq2+fIXO/wt11twpD1mAf4DgjZRaILwT+Q4pBPM8GBihZuXXK3CXhCVJkKlOSomjmLlELradvSCHq4NAoPdYcGBwYQTLt6S89W6acSqzvex4Z9PZeUuLBokLZn45TdveOrn4yfJd6Z5jv9vSZ8Oy2UgxTujE/vxVpqUmq3h9+6w9UhyMjKan1DKrBi1QsEyR4GsRV1beFPwsQWIDA/RDQSNud6zpyDmE84besaPe2M5pimOZsHwkVGZt6WAv3iQ2jWZXEcGxikp6uXG+swkjT7Si9Xqe4Bvv7SR88XIs0lWbpo/F/yn6d3spjyI5MxpCdnr8k4lK0NSpva4xArglPCDGaO9e1Z8KozYXrXDSH9smjcxQdShgqVUY6LWZ3e69Wr4xJCH+oTDl1mKFL3C+3W13IS7Hhk7tzqFlPUTNKoVIBfGCDV9GYzJR49JF+jZA5Cy0bHqaPTY8Bu7ctI92iuZNMo6u7T+t7qJFQe8Ghycd84wq9on0GXxQ6FmHDs+/bSDAwfpo+PdzZ16ZBEX/WF3xRmPHY+AQ9nqcU7HXuB+uU9/ZlbpjP7pW0JAzn3jFo1+/0OzjY2a+qxmZfmP09WC8vhUamzXloZME2eV/mMETTpcqpac4h50HxlsFhmrwNFAgewMBUlXfqVSgX+qkgKYMLQ1yhHn32fhntrI7OPIh8Chp+9zjsfdp96ZPqW/BpwS3Z1pjg2uijP0VmZjrxZYi/uS00PoLuTmDHxiUoZSiy6bm1SCU/E6VVhYaRAUdHFRIHXfBZpQcUXh6BKYc6qvuDr3wzsJxeaiFAhW7c+ZSB3BmYxOdNUwI2i5MBASxJCbR4vqCUxIoM3EeQt2RvQsUA8nUnJQ2RvkUiUto0pRSpVWLZREqRe1IkuF8EBkEcCetYtXo1NWuaMOTCQlmAwAIE5oWAxDlLXCeXkEpCEkuC8MzapfAMMQmJ1Yv623XcYxyYsX6FKgoxmbvXGPcrqY2o/UWLeDbfWX8GhoRI7LEwZZ9oD6GKfiKfodrvtD9XM0I3XLPokvRXaaCkM6K9SQnRJYn7liIkZTZdUhe1O3e+PvFvd9PT+aqX8BsxiVrMQhcfPPb56vhZuy7hvC6OW8asWW2ejnELnohlo2LpMuYBiFa8SHhU5fVrFCDcCq+Upk+AC27JOpLEWjLTwv9M4dHIzKe1iGtG6rq3RHFrIIpOZfclIUnLyMC2Z7ZotvHQOrj37dBvVixMXCQ7CeBWDT3sneC70nlxHlM2+Ed8R5i/0ymb+mK4f8SXQn1d+HxqIDA38X9quvcT6ciPO+aHPS/3laAra2GepSAMymyiisgi61Qkde6QwRPLNBEBM8qXraYyod1/6KC51pUGwTUoiSzma/Oh9bwXD7xLuiRgFFomCoeWFGT+zsqzc9DV+V94nDsC+6CJWxjWk4B9CGXeszE8wvjvgqkMk6gp/gI/Lm+Zr6knOWbhRRJyKDxM6jUazNi0bRd5IH+FGpqnI5JpThL/aM/xYTJOmQdZ0x4yeVY9ZzF09A7jewfPKNVdFvRCWYDAk4SACHCS+lX20yQ5hELKJ9nAU1aXjE+KeKHK4pMxy6J80NJ6EIxm6qMkHhUVRa9g05xMQghaXloc8lKZUpPSu2getW29TOZxcWFta1Ny118ND+mYSi1N9mXFQjAX/ZO5EQYuFkIxbyrrxF01/Wz8kDUo+ChjeAR+8hMdlMBe8NNE66tYNUQAmQv277YTobmVFNKixYoV4mFr8N229ajv3YdHYt4iUSgrzEBpfsac1Ri6GTBtnGjF2vKkoPQoZESGd4egSMWhIo4N8kRI0lRPB+8LgGc/G3pHffLe7GfvuscfD3z33ofv/R2sWy7P237onfn6IdfZCemjFJnUh9alPbrw9wEQCCNRqKpqRRPjOvftpbeueP3PAFkcUGYh16x6FD7I7zluPwxXZt+XOVXm2vnmfVabT+KrtC0DPHehXuWt3rGtXJOMZ9q/H68ERtXVrWi83YMXnl9DYUYq0Z6T+gRGF5hzYMXaXfSeLVXbPvf2VdZjUmzkDJETR6bGli7EeVvpYMkwSGq/obV7H24H+yZ1KnDPAXO5Nxuu8nt2mfeeAggrlDpnYDD7zVnfH3Z/1qOP+1XwYooxrQcOXGNYVR6Ki9KUMxe7oEoIRrIX39bej3NXmrBzRwUTMjFuaxbOKjo4V2ceNJaZRuZ68cFwnvuNB18VC8iFiw0q69quHeVqS0JNC1/ThqJpcnOttXtrnnee+eCD7s2uR/ozzFjsdw5UY/WqYuTnJHIbXszBs5+a+7tqQ2494FmZWxFWj528yRh+K9avLebzmiPfg95TLc43bw+Zs7l7e+eq4FFHxwATwDRiB1PBJiRG4WZ1C9o9hcwFn3PnwVnfDOJtWJSXiOc2ZTHlG1PbKbOXmKzJqDQPchrOafbhc9KADFI8+wTACkICrdkmbj4nREAgrYQD3pdH1B95XYiEXAjel77Ib/UOTQaqnWDdbGqmLpm4UL2h74rocsWr64S6eO4pAqAaZBNaB1TTocUmZj0ZV4BhXrPrC6In07zRzCVmPKlXdU77o3VZI5hq7KHxye2FMi8EdMyV7B7uZ85ZE/ZuyYeBIRcBAlOmWCRmgaXMf2h+NLxidQqH+Mk5VPPMZ0JzoBrjVMsFdY3PaDggaMXv1NIVLsgc0rGJtiNe53eZd3qLavOuPRuqQy1aQUuFM1L1nT4pPFCNPvyPhjM6dDcxhaPThOc350DHkB52QAm0sobEY1R1P1idwMg70k/HFYFRHoxMEsFYDeIh4UNGLX2yM8uULdyIOJt1TuYs45ZDahSsWK/UL+EgK8sysHF5PGFA7UHWLlFb9UHMcwI8WTcza52/eV395lcFCz4Rgq0kI1FrPbg27sCKnZW1HaQDaj0H39eJMMa+afMolfGffKiJC9IIwQG5qOac/ZF1L+/zPXk1+Io88cSKjEkOvjh5TMfMXWnYsiYdfjLre9e/jsk7LpvduHVTj+1rc5AWS/ogeEtYKDrBjt5FD/hb+q46LV8EfxVOadfV/MjkSAk+e9d9PqtgRlgGX7sLVqH1cQf2Aiip6w68ZvdHmpHfPa3t6OVaeH5zLsJ8zD1KwCqTOe+rMNkQrNmnEA6F6pXKZShyXfWN9FHWMC8FxyZDmR8Hgt2TrqiiE0bVNYwLZ8OwZmkGVixJIF7R+1nodxA2IZyTcSpcmWmfi5iMXPBY+nQXHoXq5w3ZI66pvIWU9DjsZTIU5pBVuC3vSZmNozKQUD0EFn9wzrj2pCsheKvG5EX2R8FHxh/sk1zW3pfb7K9cuKcIHl2zeFBTrcfWNTnITDND7xhk2lGtnXseVz/VrrWEPUwzv6qfA2i70gw/c+6m6icZ4D0NAwPFk8pTkRjL4PXRUbzx9nU6hLmx45n1TCjgxIjLgNzyBASYc7S71Ym0RfEIo41dG7x0U3Lp0omM5vPGFj+WbU9mwnzm42WsmHRLDcXtRN21PqQuzUY8k+/7gmYIyfTjJWGViRfTknyXazJ6eVOcROlcieHmfnqPM6g9JhxJ+bE8dSdIhJSgoTmmmQgc4jszGA2ivs6D5buYOo1xbKo+9tLtGMaRI+dxs2EKtpwU7GG60sI4JkMgsKUaL5m5OLJJf/3cJ9D27oLEZS7ILlxTEDAxllHMSgI3yencW3sdbxypYyIJPQqZ8P6FdUXQM8RCCX6cZ/FmZOg82i/boUuOZc5aSRmrLQSPcvjRoaN2GFG5cbBZuKfKSRWTndqPFeLumkbthRHkb0iD2TWCYwdqUf7cBsT5xlFXNY2y7ak8SMDDEAia2qVe1q7qILH1cEEahBmS0/iCuCahJbzwyEXqk1UrdYoQK6ky3b1duHS0EjUTOlRsXIZ1xbFqkYcqnQ2jKR6+4GCWpc7eMJRuSMBgdR+cDqM6dEaItawl+XdvEYIxQ1RnbopZneEw9BYd7R/EmXduoJk4v2htBbYUJKtQGUFu7/g4GqoneHgBD5NgusXMdDNzHPiUKVfmTUJ9uBJRc6oHaaszEW/jOwpW2npwMxd26+UhpK3NYHiQFgYkNMUSrkPLkTboeQBOFtM2OgbH0D8EZJXEMMkIk4gE17KcYiW03V7VwxSgNhQsjoKbp2uJlWWusc4M7zG+CNGdcpBJcXySV3lqYAAH3jyGqnoHbNnJzFa4GkXxTI7C59RpVZzTacKkt6UZr+2/gp5+oYtF+Mizy5kbQsuVLTRPzQMRZrSZhJepjYuWxzJMh9eJGELXjKRDfU3MgMgsigkJJoYmaXAWPBMHWDPThtbs70byyjTER5G4cX4ULpL+CbKq/Vi2IwdNSHvitCe0TdaYHPigcFf2MSW2nXUSLdQYZD4EbaaJXz3XbmL/qTp46IiUnVuIQqsVFqZszc6N4LwzeQvXhkIxYTRsVqwDQjuNYR7cPN6DjLWZiGOCGC+vSz+EUbuZS7v1yhAy1mUinAeMSN/E2VdMy7IWZheh5U4JleUzgp9T9M6uPtOLHMa6R/JdEdKU4MM1qWcHSGVJf8HkNAFUHW5HwvIMJDOZinROYKNoB5+SsUrR2tZ4gMDUxUM0Go43wZydwIgia5Cxi+MxHbdEeOe7Mg8mfu+r78Wgw4ySFXFcHwJC+mvwkc6rvfAxNC4nj6FQbEf4z533tTWiFFt2QmCn6IDqjfZH5kYLHePYiftepnXVtrzuffLOS5qLtPyWRUoGbR8bQYBp4GJJ+NrrGLQdYCB/UQp4thTqmTw9vYgndYSP4+q1NhQyOOwoj5SLbs/HLp7cMsBYw+hUNy4ersVkcgGe25qO9pMXcLqdJ4fw1JfaesaEmbNwrb4LGYsXY8eKVOZ81TG+jVmAJuiKPpEAG9s78eZV2COzsHtNNK6/zcD+pEI8v8aKY6/dgK5oGbYvMeLsyVrWQXOFvRHHq8ZQkJSPnFQ/85syTVxdLYbDYrB39xq4am7gcNMYiXwedm0pQl9NPb79/QmklXpw+ofVMC5ahuc3ZcBojca6tcsw0dCKpWsXIWyyDT26NAz2jqKvsw0tfR6UbVyDijgHju+/ien0IuzZnAmCSeZqocwHAS7AUBFniuScfGwo9KCxy4QdK7Mw1FiLUxf6kU6GsSrDh7P7OfcRqUjoHUPz1HlEFubhuTWFqLpwBc1DU1izcwuMbUyckWRG06kruDzA9IpM+jBcWQ+mNGZsfT666kaQuT4dRjJhSZs4VtKBZ0loOxrG6TWpw+kTVXw/DeuXp+La1UZ08BSjuAQm0WEyhs27NiF2uJWn07BPa8qZ3IBhRlxtP9YczxqzECJ7TQt6AlHYvjmZpq1RuApimZ1KCHkQMrOeF8IyNTSBjtt6lG3jcXQ8nnF0mGkiuU7edaGAXXeZmndBCd6f7EdtZzdjfMNQdfQaus3Z2FYRi+76EWraPqQmRMHZwfzLDcCa55cjy92FA/tJyBMT0PSjRmywbUXMaCsaHHHYtrsIutY6HLjUhil7LD66JosMN4Dbly7ineturP/ganjqW3Hkej3yKkqwlcR/sJspgiMHcZxMO5bJMzaVmHDl4GXc9kTCebOD8ZsFTI4SQH2PA+XrmcyE8c5KS3zXg5/nRYF5EO4Sr6q3RGAt1/9YfTPKeERuVgzTOXJ+ZG80RGqFUNsS07B1+WKcOsJ0w1sWwz/Ujh8dqIe+pBS7V8Wg5vAFXB8NR26kGfU1jTjTnoLt65dh8FYNahhWmrtiFTIHyUiZbWW06TreqXJgxS7mfW5oxvWBIWzYsAL2+iFEUJtPtHlx5cwN3Ozg9kThUuzIi8el45UYZJ7sTeuK0drIeWCYkGT9Ght0MPnJFiyLmsTbb9ZCV7gEu7kGzIpT3MEdYbYjTJuanEBz6tYkpvy0oHl/CxkyLTLDdThb40EJLQRROipdGVY0Nw5ioqMPjQwdWlGchYPfu4BV0VsRNdyCxul4bH+mGIGmWhy40g5nTxw+tlbDgYYLF3Dshgdrn1+NZWSIdwlZs2Av+B6gs1RHzTBSmQs7KjwMDmb+kjXqYIrPHcx7cf1CFZoY4rd+cz6OffcEskz78KFdqRi4XY+3D9+GpZQ5wNdlMVeaZpFS8xqcW5l9Ya59DUOIjIpBZhaFGp6MeONwFaoZurVx0zpGCHbhnZvdyCkvhv5aNS73xiJvxUYYpgZw5sBVdFqSkMTDM5pGuhFenI33bV2O3nM1uELYr92wBoGxTlxtbEJYciHev7WcPG0OE/0sPFIYOat/6vccf2aYs2T6GmTGoEpOxFj3MOJXlNFZQs+YSIZKiSRDAI4M6bBmWzrizUlczDd58owfRRXFSIjyo7WWie8p7TuP29E8zIMsJm/jZqyXJ7VE8BzMArQxr2o4HQB03VOIYMc8NN0p8zhj/uoabqO+awBtTKe3jqlaYvJLmF83Gg3nbyN9aQVT4UWg/kgDijcuxyAlm8Yqnpo1xhzeYdNo9yXhmQ2J6O72YKBzAuYRBwPFc2FjYPhtJoT3DNMctSIf188OwrWRAfCMU9uwchrd5/qwaBOBXNsD+0ACcpOtiIuPRUrCKNJSYjFhHyPy27k4vRhsMGLDzixqc124qutGG9O+ORvq0b4oEYv5nkiQC+XRIGBmbHxKEhPtu83EI+C1Q/UY4YEqo9UNMPaEI5Ink22mZtWwfwJLKTgNc05bayjNtkZg85YM1JxnknlabNyNxC0vt2Oey+Kpo37EpFhQd3EAt/XjMDF9npAjP5NjLCpbhDhe6+ShLlamcRQrTFK2lSco9SLdyrzPNCWvKElBVbMP5fkWtFzuhqulAcNWC4ZuNGJxzirEmWcx0kcb5sxTYppOXlqAWH0LzpGJlRcVUtuQ3s2PM0KwzHQAM3BNGiVkkYycdOddFalLjuKTBA9raDVIJGyymTWr4TQPi2ASkWKe09zWRMZsZVYj9sszSIJ0ktpudiwuX2mkZczB5A6rmPzDg/D2MESODeBSZR90KS4eE2tA5JAHmzYtRR3Xk2g8LhK8dq6X7dvSyKR5vB4zBa7ZXIQAY5lbmtwUNsIw0NrAgxQMFJQbEOWIRSAqC9uXJaLex/jQ2Fj42nt4WpaPaR3lDGmxbvyYwtG7gJSO4WHa+o9VAopFLG1iZr2nGExmHp8bx39MgZkUjhP/pxpdXlpu6upRbczEmD8Re/Zkoe1yC3IKS+jEF4aW671wtPixYsMS3K6mjw/phZljGxsx4bkXi8G0T9BzMRjsXlSdHKD10KjisgM09dqvO1C2pRzNtGyMkS7Fk2HePjWCJksf+jpcWLUuhyE4A9i4LYPWx0FaJW+jmylEp2vqUMqsWQVMW3k36shpVBRa626jL2CnZr8YNs69j0rZSfbZxxzdN6raeZ5yFPQ+PYa8VqQmM9tjN1Nl3nRh6ZolCOc21eWqASDZzXAiA8IHfNiysYI5xgeY3pM4wHTPHbeN3FtNx62LPHLzg0tUZrX7oRkELnHURLofCrEVYSg+k4LBsSG0pYzC1+lBRBLHxH2pxUxgk8lMYwGelFVzdRAV21cx+xkFKdHOKXjMVwxcR2IREG9wyliwJVig73Gj6nQfimKciBTc57nZqbm5WMGENVZaMJrJG0zJedhaloCGt+tQtqwCE8wZ39nh4OEgPBfd7kP1yV5E+4dQuGYZ2gn/gVE3sphCVCyuj1tmhqNjYoJuJqNPSqZZy+zHLTJL2QMQU4yYNXRMdh4dw+tNAzRfd6KH0ki4mXtgPErORBu9LCEBrhAjWomQZIqETQBBpLcxp2wi87qKicLK/S8bLZXO68M0F9HkwHSfkqgnKy0NJscQtZhpGM1mJASMMNDyEca8v0lcyDo+a+R3rhlOBPvC1HDhzBYkJ61Y6cEq++JqfyJA03ZCCtLDaJJiLlgmDKd0aKY0ww6zXwYGiJs4EQFfGFO9Md2b7C8IIPlPcp26mKmIlh0kMoNSX+coMykxgTlPEzHzWSO1IG18JLgcXyRt6o8/BY87hT9b74v24ebhBXIwuZjoxNwmkm464Wmg7U/HuYznUjY5I3gMaQrSvPROZvKnmIg0ZMQxuT+ZAZMAaThJYS6GuKXvHkQnpW03BTIHE0hIVipVqBG5mVO4kAuu+1Yj2ohbA3SSGp50wcnF7fQwSQHxKD0+Hrm2VKSFR8LM8/bUebzEVemT4MrjFEkE0jM0joS4VOwiIR1uvY1xZpmS9TJnIQwsUXqM+HvRPziB4QAtWenE7+CQ5nznARcFt/VcA+GRI6iq60VPTydOXK9kil5uBzBlr1mcz2QeuM4lZErmRHIKG7mus5gdyc/TiCQ1ZzJPm7PQVMrhKPOrzWhBMvNguzkZRs6ZZFgSFqqtJR48wPUiFgcqEUjg+wbuQYmpVc/2vCQQfs55mpnwJZzZEcRzLqOZeCKM79mY298kx01WjtKY/l6V0PqX8681c/BcLcv4xMPYJaZJ4rKPCops2qSaeKYwx8QTJhBNuEY4iJsxqchgSkfDKNNfUvvKSIxHzJjAmOMnbAJkNhE0KUdxnlua7aRlzOvMrGiShYy3FTzNhgSkJyciYZIpL5kYpYeWPBfN6JN8xkYlKS0pHjkR6UiLj4FtiKcyse8Cs1SmUI4gvbqfPrFuCkHFixYx6cpSlKbZFI2XuRczrZ59yotNQYpxGofOdiGbpve25h4eF+rDJM3lJs6VjjAQc3EUcSCRIUVuwRHSVQ0HhJRK55kSU+KV+V1+PriQ8U7x0JMxJpPlNtBgp+D+JIUzJq/iGKJXkSIwF/tENQ9TYa5wtSSlXiZRNxG3krjGdQLPBzQioUySOGSM1uFJJtdpD8J7nO2al9FiSz+/qcoRwp1MnG3K6hTcDyNux9GKYHZakUh6lM6QRB/Xcxvfd5O+jPPQD30gDumpyUh2kD/QPP6kygxz9nA/JSYxBx9+aSs++uIGRDjDEE8JJSkvhkyYzIwp1opXUTq7fgM/OlGL0mXZyGDykr7+DlQO0VyZHcF9BKZQ216Cwnim1Is2I6swHZnRQzwV5iImI5iAPWIcXf296CNhiMthJhXSHJe8s3QpfunDW7GztBgZGVHoq7uBt461I295EtouXsah03YU7qJ2c+QCunhOdH5xPOJTycCZB9bibMPb1d2ITKTWmxeFhAwboqLZfnIEUgsSmcVsAK/84DS6PbQCEOLWeCvN9pNIpgnq+pGL6ItLRiqlICWAcIzJ1NhpMECARD+WjDk+yoSRvjbu0dxCOM0uq56lWZ/ScER8OGKZ9H4+b+MnNUH/2eqRhRseF4kkmrq4srBuTzF4CB1ikqOxaFkyRm9XY//RJlgpuYfTxBWVZUMc8+gmZVPN5kJJzo9GYjbNU8UpsPk68INXr/PABjNG6ftgy49Cer6B96MoxJExUMhLzonkyTnRKCxKRXg2pd2oCNhHwpDPVJExCWYkpluYN5lznUahLcqKpIIErN9dBCZqRHxaFHPucsE9aNU/ZIJkPy6JKTH7r1bj8NkWJBQUc7+OjIsEQEzekhhjdhHTf0wOcbJgDN/+9mG0UFjMWhJLgvoYnSDjW7y6GPWVN/CNt65gzJCE4rWpGOqspSk1gJzSVKRkcw8000afjVRs3ZHFzUk3UrMSUMYDLa4fOoOztSO0aJFpJcRjNYmZnlw6PTcFRbkBvHOS5zfTIkIyAQvT/KYXTGL/wQYkkEakcb6qr1O7jOSajWK1FLTXPL8IieTaUYk2FJWlwNffiNf3N8DEHMcT0yPoHOnFWIDMP1f2ax9MdGfD7rG+C3ipSCQzraaZeUIVg5mjQrluoCk4jXuPPmZVXL6vFBk8MCKCx9/mLUqFzdtJnLwBNzMdxicZCY9wJGaRjtJ3Qk/tLZHwSMiMQir34bOTJvDad86jdyoMUwFquNzTLCgn3c0K0lwyhaQ8G48aDCPeRCMymtsCU9TwF9uQnGVkveFkHkYk5FAR4dqIz43Gyr3sj8mPyKQIRNOB8F76FODJFTaeFGbvvY0Db1+iF3ojaSXrow/Clp05MJCJJaVzfaUlICUmAUlMaTrKFKh6HnaSX2ZARBr9NZITsKqCpxGSe2TkpaAw24ujJ29givnHzcQLCwWF9LxJvHWwEamrmZ6Za0j8C0RrvRffhXMb2HcDtzre+OExfOfoDYyQ4Q859EhbHk3lyA37aA8cYZHEB1osFlHY5XGdAQoGS5ZH4dKBM7jcQMsPYSt1y5qSf3cVHnYSk87jkM+fwyvfP4laHrbkBLVtImRhOX2WRgfQ6/Qhlr4GSXlmOAOjPPwCyF6cCEdHLd483Agzxx9Jfygb10h8Iv0n/Ea4eSJXYQUFfPJBNs+thxie7MhTtmScFERV0hvh8u+y6D7+R/8a2LXYiJd3p1Nio6pK+YPyAiURSlhiTpMSpAvioeihZiKSUgQJjmiq4iwizlGN1TWwO6K5r5YHL53DfOycmVIWxUQeveWlmcqkpHORpJz8baY2K2SJzShJSK0N9YfOBWzDT03XysxELp4ZHaCJz8K6pvldTwmNc60IptqvYPuiKFm4mT+jXEg9JIo65k69ePA8LnROMzfvepSSeQsyiPNQGBmxZ5oObyLxsT6hfWq0/CPyZlN9B/eto7A0zUhT6gjyNqYihsgunXVT2vITEcz8p/bDRGJeKHNCwMB5ef1gDc5e68b/+oMXYfTw6L5ZWqPs6U07eWKPsoowYcY0U90RnyzEdhGY1KPyQRBz6oKTJL/FXCtWDjJ74pabEjcxkXgiWDXrYZkavqc8lFmBaLJTDp5fTKlezMbqttQbKrwgcrOTfTKwT9oToZsP/5T6pLNf+84lCgw6fPGzW5R3rKybaXEq5Lj6ewfVmjGTsDqIS/kF6XiDMDp1pQt/8T8JIx7dGEapfIJOM2aa10Wo/Nf/uELHy50or6ighnO/PilMI5LPyqfEOR+8WIcT56/is7uTsLmC+7a85uH65mFAtFxZ2ElqgOyTaG+SuCRkhhONXta+g8zZSoGaGbaVVhPGdWKko6WPFidx+Jymhi2nWYkWJQ4uYllSgJb3eU2cp8IVcyDNoBYs4WHn6CNgSSrB6qXxmBrnGPmOiRq6l/3w0GIg2w5i9dBRS5PTpiK4b6t53QtQn2yRrTrx1v6jvz2GD31wPbauTIGXY9YQQtrSkE2sgZcqefzkG9X4/d/aC/ItwkA83fkE8VPC4IRGUaUkPaA5k0cRCk5aOfaZviukmKlSVS34K8RPYGdljnPZNpQxh3OrRXn/hYYr7wbxXjmnsY9+9l1oj4bnCt1m1oYwhlB/TCRsgg9y7evfu4q+MS9+7/PbIOlAxclNHCCl/8rKwf7IvE1x/ZlFOyUgBPd9XC+SE9stY5LTIThmPxm85N12Ew4WwQFek0xr9+EAtUg5p6GnTzuCNJz1SvhaLh1u2zqG8df/chaf/PhWrCyOoQMgT4yiIBpgX8PD6Sgnc8G+yTj9xB8n831HCj7QOkZQkfERD2WsrG+cfZb17yM8DZwDcRCN5ZGWX/7n0zyyMwWf+uBS4phDOcOxyzDJmqK9w0lcE3iH8aKDbQtPkrUmWb40J2TiI+HEXxyb5NDWCIX4f/hpZQ29r7z9eEvmtL2jl3NvUdYVcYhLTY6jYUgz2V+50YVvvl6FL/3mc8hONuDto7VMg5uCvS++pJj5fRnCZMI7aEY4wYPIxayrEEGmndc5V1rhl9BXAYjgi0j48kUGwSc5IEpXNIWcOE1nBPUMmSAHIx1We9bkfmLBkopU3WqS75BpqV8hbPBT6tS0Wa1+qUskIgGQIJy0LR8z/ZnpLCtQvdUe8FLTXrIkjI5dHKPdru5If0j7SLDlU5BNWldVSidUxSrMh8e8neXWio7eqTcYqytjlie1NrX+aW+q1xf+zAEBWUTNrX08nnACp8/WciGIACiII/Mo4NbwIzQPM7AVwGoP3Kl19m9+1/BMw0V5T0poLtW7ciE4n9Jm6KvMv0ykNpv8Im3xklpk7Jf80HDkDm7w4iMVqUbe7+4d4VnlwImzt2gHdqm+iiDiIqEZoNey9FeSMDjpPd3VO0EY9d4NoyBcZBzCDLoZ7ZBSRE9uEnMRiKWXoSJtCm4auc0i3rFStH4EUFvbyv1EsyI4MiaBgTKpsgIFB9YkayH4QhAWoTUbxHe15y00gO/L89I3vqLRAH7nb7mrhCmpigtdpkNp+2xPrWuOw6OP4vGKfTh6ok8TlthnmS9tzvm8zKnq+Ox+zh4pK39CRfo8yaMBHVQkamnu95O5eN2cJ7bPbswU2e9vbh/hc15cvFxPAV2Dn/acPMjxi3RPIIbolYLN7EpCtWmPa7/Ud4GzBiehiTL0O/g7MxXBL7zJd7Q5u/s59WKwbmlW64/Mh0wsf7Ozndz6GadvxvEzpM9UWkLrRQar2gy+L9cVnePv0Bhnz4+MV3WEN9U4pQ35zn/34oBk1RJmPDwyoV6zUsATj+VWbhcO0MFKzk6oqmrGeH+4ajOEJwonpHEWDaZBfBDOGuQ3Gpy0rVQxhzsoTAseS1iYZKOMibapdUYZEcfO3OJ2JCNCZN2zyNaa9PkOvGUehBcIPmowlu+C73L9znPqdW34914XeBEg3T1DFHaoiJIxy7pNSBhUwoKku23pHFZjvnSlHq3currVSEe/NIY5zlN0n/lf3wzkRbhAXi9z/0hFOmyiY4SbhEaKhAFoQ+D0PGolj9TS4z+kgEvohgjSo9YYxA0FE5mcp21cjzqOp+E5mQNZvF5aLNQqfRo69RPug3LiYhv3OhUJXimzG9eJEDMhSLKQhQAKnOT7/TASwVRPU3c5/Gae4ESLwewiS04IUgVNjCk8XU7yEx+8cAuXqnhucZyszUffB5N2ZC/axZA06VuIwM9u7919J4Xg+GQhKeH63VXyhN8iXnK8mLjJgz3a1DG2Mv7Z/RO65qe3u4unOXlMS4I08ikjco8AFcVgCX5hGO9lERwSc7YUYajyWyyX2nV+Dylbj9EpbWxCpaVoPEjwVilzbDMkNGr3f7J/xZStNGyOU3ok2nwIn2bGzDkQDPLT+rCUW7qLy5ZS4zfi/OljsFOBfPnll7n+aN0TKWvHM3uQmRSrNvVDFckQpDIxOc6+psyDXOu1NTexpKyMChCJCm0BYvoIFdFoDDSVyTFwM4UmRAuPWfMw5my2W30YzRBhYjohQVko/zkhQDRioWSqJBxKuzQR+Wn+A7cWrDQxiTnNTyeXaWqFJjrIGCiCUl8k7jlpbpXDVRjmx62QnyWSKGtHyuy1oy7M8+duGN3/kJjq2pnN70qDHQl0Vpxdr7TVPTiObbweApIQQpvNho9+7AW1RTD7+ftr114T89vk2BSamhqxatVSavWyH0iztGxd8SUlBPCZYPpudcHJdJBzFq53I/duhQboyPAM/C6xy0aex+wX5zMSZQ1Cc779Hl0k46XxVt/5p7BM1+La4AvUMGmCFSGCReAqhD0tyYKVi6mMJPyy2j4LdU5GrhxmqUOqsRJHQ0VGJ97B4sAqRVB/ej5YaY/8RP/+uPj4E+2MqpzMi2AWvBQeIH4+4pTmFodI4orMgGyNKIZOixAdysnNeI1sQp3DEuzglODXPIgkYxa461k53ZtUYRPK4dPKNkKFu0208miWD2Gu/H8GN+V5sjjmMBG3P1kBYuKW85zFMZJ1ET9m1yVbtvOXO2NWz7B/gmrj3BaZCZua9bK6JgCYps3/5InT3CchVye3lywuIvWvWb+KTJW2fgEima6O+82Hjr6Gi+0/wjunC3hilBV7d/0i44izCUzuvbBB7xjDKejmn7U0nR6eBAslTyc9sS+cPY+08u3ITaG7DZm0iyOf7O6m56gRKTlim5c9LOZa5Qa+mckM3FP0XCQYLCTYtEuovS8Bz0L5WYWAmIl8sN9ohTUnE2GMlz1w6jzDT0DnqzJsWJeHukM/QhNDMQymBKzbthWpDKlpuTmOlMVpdA7igz+nRZiEnHG+kmkm15Sk3weF18/VKd8Ok/hFBIusWdFSfPSofhhzNtKnw8mjXV959auoH7qEI8dX0qnTgM/84m+p0DQPPexFAWqpPo0zlxq5R2xAetlq7GAseCSpiHjge0nFwkm4ZI1OMqSqp8uDlEWxcA72o7fbh5ylCei61gJzVgZiJGieXBQAAEAASURBVNmQUM6faqHmJl0gbBGw4uzNMGQUbUUiHbNE+zFyH3l4eAyX666irJiKxWQ/3jx6CqOjk8TXPIZR5iKW1ooI3SRa25zIYmwygc0KBc/9aLx+HOeuttAmyfC1ZeuwubyQooBoUj/VQT9VjYuyN9pWzTCu2yjesRNFRheOHjqOifhF2M44cmGq/ik7Dr51AoZVW7GcDmLfPXSSntxeOmytxOaV5eRZ8wvuoj13XbtGf44qeGjy3rjtOeTE6el8dhA9VCgjbTlYVh6D2NQS5vZgqlaGEttv1aCB26A6YyxWruKpiK4wJJYkwcQtDlaH8ydPoeZ2K7bt2keHZ+D11w+g16ND4fJNWMdEWjpy7UeeYqlwnqIxbGKLMGh7RzfyC/MRn5yMidFhpqyrZWdWzSxscew4fOZ1XB59DR3TDWjubkTaMhv++luX8Tsv/w3PusykJEGNh8fS1Z0cgi5mDA03ziEsdSkyBlvwve/W4DN/loc33qxE3IqtWMVsYr2tNWh1Mn4vzYy6qyfhQAqyoqeY5KQfZbu2IpmhJMffOQlDZj7Wr2FMGzWqRx74PINeuPxTggAFN8/kKOrrK5EcGYHwtj7uQSbTYzsb1cxFfekCQ0SqfSjZuwoSqhPFA9jH7bWoZGz7ltwERNEhRfD057EIcxVNIKjUKRDU1DagdEmx+i57Wnd0gTsQkvdC/+5cvfubWLpGmYjlO2/9C+oN76C6ox69EXbuYbvR/pUW/Nlv/h2tHWQrXNtRCemMTW6CfZLZkjKTMNZSibdOt6Bk+w5kWsbwxrEzMKeUIt/Thm98vQ1f+Pqvw9hnx41j08hYYsatW1cQy9jnZYwtl1S+P+2iwYYMgApJBJ2D1i4vQjq9yKW8+up+xCUy4iOBntncp6VLNIoWL2EyprfQ1cnQv2on8j4cx+xY9bhW50BSISNQSFGlThGmYpLSET7ahGH6/mcxRpkXg34OP+1RPyXtE2d97kk0n78Jsy0S10/VwBVDZzUDvaFbm9GQkoilZcmMd75C2Ym5Ls5cRzoTgJQyd8Hld87Dzox7YmPzzksTuCbCvGg7146wiAzmLPDi1Nlz8C8pQG+dFWs+tRpmnxWusVtMgpOEipQAGutq0H9hCgX7VtFCxXBZnRPX3u7GeuanFyfV3ppq1Ld5sZhRDWePnsQqClx9DZFY/8kCnDtWj5ysZKRH3e8lPx/EBVfmK4ptywMWhp089+IejPOA70maCsbHHfjFX3w/NWPZrNe05p7efuw//zr6fLfhHbBg0e5U3Ki8iVM1h/DFP/llJgKxq70xWexGqw6NBy/Ab0yhptSBEU8MlpdtwmRNHcyM9+usquPzXWjkIdUD47dwq7kLzaebabJgVpwjZzEy1UcJnWEyI/QajTGh5VADegeclEjnIkHzDW/h+tMEAXEQ6e0i4afHdnVzFcNHfOhhqMLpk6fRR9NnSooNjvFOVF25hBtt7WLYRm1LG7W0Nlxo6tH2ap+mAf00+kKCNs0og//9F1/FRz78q/i3r39Pacfz2vYeoY8S03zpWiVO3T6Eps56ZMblIa5Ch8rLNfjOyX/Gb/2PX+O2k5jrdAxrK8SysuVYWroKi5ic4uL+YxiYZGrQS5fQeKoB48wSOOoZgTcyFrnZzKAn5kNuU4gW2t9xiwkypnCj6SomJDb1Efr2Xj4i4T43Kmvwytf/g/++i699/Qd0ctWshqLuGngub0lCHKM4FmHfx55V5ky9bxLXmlrhIk081zygYmSlz5KfPCGjGMtKBVYrUUKiTfvFezmcp74tESe90w402wqwbsNG5DYP83AO0vu4WMT4nEw564CeiUHq3FEo2L4b65iDYHrKgtKCfIQnl2HfxlIaVB9kRuY88D+DORalS1dj4459KHYmYKyP+QOGGnHp3HlUdfcyLG0J8/93obOnD1FJzHDm68X1yxdwpb4BDq43SfGpCcYetNUNY/XaVdi8/TksjozCcP8IhgcaGKZ1jT4JzCdA6Uwzfz8++Gd0apEcbYzbWkEzwXB3K9atqaA5i7HL3Adk/2iT9zEGOZ1JxD+LjmvAwFg3MwRd5T7SNAfGJBFxBQQCY1FFEuA/cTU3+LIIlE0octm4n83MO0kxmLYzPGnjZhQYGL/W0Yxuexfz1fbQg6+drvLLuPcdyd+TDKdh3JiXYRyTdJc2ODBIgE5LdpOnbUU//hz8nNTAiWNq1g4m4ejvG2KGuQb0cCFm5TLmNZLZuAaZOIGxzlHRuVhN/FjLbDwmD7dH2pvJ0JmkoaGSsYk/bmDTfz7QinPNAHMRE3TY/b4X0NYzgjb7IJecaNbvbrwe7v9v3LAeKzJ/AfYmB1rabuNWw02VUMEzGoZYptRUNm1W72fWKnFWkfz6LqcD3bcnwHBfxE6TGa0oRg5jzVHfTa/8aGoROQzv0hysdCSyrc0UsHsH0HmrHl303hdh7ekqAUTHxuB15tj+5rffwJf+4AtYsWzxjJOezufAofMHsXz1VuTZYpTSMjli56lVrbC3j6KFMfpuHZN0BAflo9lUHOum+U/CcxbK3RAQUUVH34TIyUnC2I1xbq3kFBTAZ2e6W4ZSRcZa6X1tRBS3XAlIjDPLiZ77+E1Np2HOTQNTaaiDbVQMNa/LPfWP5uvZRXbDDNwy5eYLBgz0HKegmJJeji3bt2P1EuY0iI2HxTVOjXgEqalMOsWkLms3bsPm1SsQz7AuNkL/DeZIMIYzoRUwNiE52QPoc04ygQ7jyxPzUbFyDV7atxpxzFcu4WlaP/h5T19m9+th3zWzdvApiZ8UBr1n37OMJaOJkRvVM44EfEYkv307d/Lvl/F3//hnjGdmTtfhK9i29JP409//C8QyiYN45IoDiJmDMlDj9ovbPjelxEFMT4ewzJUD+OE//l8YC9diOXf53//J30WScRBvvXaGebGZYD86Hqt25KCmfZwZopLg6GMa0DYfkivE9D7FPnD/mT1YKD9jEBCNj74IMRnr8YUPruS+zmkcf7MbJRUrsfbZFFi+/w1c5ikyjukOxsP20cRoRkFWFtY9/xmUMxHOoTfeZvKBCeTQOWe2Q+HPGBSeQHcDyMxIw5//0X9RdQnJ99DR6GYnM4m9y2WhLGc02X3x059XYVrf+d43Ec2Kx7or8flf+DL+5xd+m+tYDppX5JQONoxPpuarD4/Bmj2FzJXfj6TEJCaOaMat8X6Eu3JpptSjf6wafUNLEEGNgplGEJm6Bv/tuTLY6y6jqtaO4s2Fwu2fAEyeTBVyiERJSQG+8tU/xwDDf9aUUygJljA6JfXePo8fXqjBEloHqloKmFHOgsn+CTz3sd9FcbIOb75xCvSnQ0YM45b5no9ZF1VGQsaSL5Q5IECENdIakW3rwrdeqUTqtr2gqyNaR6fhoA9TIveGb18fRFGxCfv/5asYL92AzzCZS8cBPcpXJtOxcBqdN/uYwITpR+lfKtsk4uKkM0cwKRZTfBK1JFo7zNiH1//fV/EOkx9lLKlALpO1nP7+Ebxz2E7LTjh2v/hBZMSa0MmtioSYSAqe3aRBvbAxrnppeSl6e87i7798gYftFGPPmlIcfvMIzr/TgbzidcjNSsQ4E8WsqCijMOvhmulj6BijL4jXBvpNBfThSJb8Gsq5YQ4YPOCS7lf/8luBX9m3hanloolM2h6QWuP8M5ckLsxazxR1nUykIM5jbx0+hF94//t4Ski0iuFULJwdkxSAwkTDKM0ExBObUrKYekz0/uxts8OWkgarRHxTshBJ00dpxEOJQwLBGUVPjbqX+VWzmDozgI72blgItNiIGM0tX3XwAaN6Yrfes4aeWI+f1oqEAcg/iSXWiwsrXSTdTAaioxAnJk8dF5qcyOR2TWJI4iKpIcYnpCKaebcFEQOTTMvJ9ySpybvmQk8rcB6hX+KtXdM2gHE6hS0vTJ0RmuVVUUAP0KHmGeaQjyE8JZRq//la1LV04r9/Yu8jeWtLPeI8Iwpe98AwBvuHmcTkNH7313+N65zOXsrRSZ4iP+VDkhffSK97Thj3XzsRnZGFaOZsbudaNcWk0cM5gnn1h+h9L6fEMTEKvV0lAUto7r20yIXRpyCkZWo1v9d/xSGM3rnd/x8iPDfwT+c+QnoUSQsfM7JREPHSoiBJOVx0BPv4XgNcETt4+h2zRzF2NyySmdDieAIfUdokrsTUAKfbmvDWocMYVKGlEXRo3IMyZpwTx1rJ8rVQ5oCAxC0zD4C9ZxCJtMyauUfc2dUNc3QSEqmFTox5mAc7Av1tDHXjYTWx9AuYHqfCR5ftMCbFcZKRy3GMyleU9EUpk1QOLczCJzqc/PY4xxmi1Eu9OYI+VTm06DrR19OFETpA6qn5ppPPSHY7SStrpKVnQo5vHRylgMU8/MkppE2TPE1tHDqemJZDZ0YvD2nq5ME8uYWFMFL5dDF5jJE+GYLMXuKGm78lAkWOruUfWCg8SF/mKrLmJOGPmaHJ50/fHUql+9X//a3Ah7YuRSrjIx9VI5EBmxhSIbRWR4lSzDd3ZS3ifSEY7J5afHruaUmoFS9xUYuJQbI/8Z84kLMS6fdM4DwRWYVeEMBSr7QhIR7iPekVrzx5+CddpKMUu3Ryru5CeSIQkLh4wYEZJi04Ip6K4iTDuRU/BcEr+RTnJimSFEdCHGTKJXpAkEcxeHX35+uPmIBNdIqpYwKHufa05P6W8hxlbpbc0O+GOQtEJSJD9qClyFyIE2hIaFcX1XVtfmRNyjOSlUmSPGhhb7JWvZxrmiApUMj2ltAB8RWR59X8BemDpomHav1pfAaZc+cfI3JqP8aMO+mJ7SA+SgYwUSYU5jGNL9NWRqfBlfIl0i4xW1OJ4TNe4Qh8JmRRCPCc5J5OO5zyPmlbfGIK82vT0sdnZOwLZW4IKBwK0nsl9Cl671MHChG9lHFF4C7qsRwypNECzetdhfYSvhpGEtTBJmbDW/iJHFEsd2ULR5REpRAEn/Uw5ZjCUVYicymm9NCWiyT8odSq0STOt+QYEJ4neQVEeBN1Vuuj1rKiYcHOzNWXYJMzHw9izmoV+tzT3JjXOjbz1kO+eIN86w4S3/2CGKtkoYvAPcyTolLprehmO1zyPMuVqDt2BAZnNRe3doKQrAMZzGwDkHROroUGqZEMXggWgUHonlxSAgEvzL4WfPSBH/fWI6FffnM+PDEvSK389+PW+MDmfu5uCpEzkNj5GGrno1UliLt0+FoojwwBriU3bXZy2IKcDTu7yNqRAw+02OEQdGc/8ejfhTFJFjMp863t2YRPwi6FgWuFxG/mO2npjLOObG/NWkPs8NPBq9gnCuHe6GfhjsilZ64bUfFkysHRhD5E2HCbFpOoy1iFhs1VSN7phZ5dVBzEb4axcfzvddKPuXr2tF9TOEQ80orGQEN9Du16eCVnZ7CIxTZU1GlU/HHvnIXuy2eATMg9y/IjT8/GU+3ZOzgpSuFdtIl9m/1bQrdmn28R6qNqi7gt6/FJFNJMHXJycpHLjfB7JeTHaUBb2MDJk4folX2U+YN/G4VphRqy0pRh6fo2N7VOk/cxz68SP9iaLGD2Z6YIp9acRLVLMurQfaFP8qiYz+WaPCsQnP0p9co/eU4AJp/yT1EGfpHvUoTrz3b6o/MKY3kwnb2IN6RCeXmhPA4EnDTdSLrKULagx6nr5/FdYcjnajqUxC6xzpJxTYpgpgg/Bxh7PMh81bE0FT+pommOT6q2p7UeMtzItXCZNj54lQuZ8c/HmINj4zzcT/Sf1nEv9Otph4BSRsUkLer+k2LOQjgkefrZc1fhGPpnfGDnQbzyigOf/dL/VQnL3WzLIMdAjvOg9TOMaR4JqBNGtjEOMsSgveNexkR6UbqOJ64I055RYEmUuAgmu3gObX8ApSvI3ClJXb8+idO3prC0mDFnpVZ0VPJszuVW5V030MT2eMZmbCwrEY9v4bfCmZU0H0Dd2WmkLrPwWEK5JvdoUuexlAITjbsLCVwojwMBSYYhipQcFbhQ3gUEmOBDTG2pTJCREht5XwVJMREzDPu+mwsXHggBYbo6Hmm7UBYg8DRB4IljpJBeD80ARw4cQmxCMuPUVuDIDxgbtvWX8Obbb2Ilc4lmZeaJ/wT6mp1oGg/Dzg3hDEfwYDRNhxvnxtEfacXGXD3aGjzIWQycPjoBV3oE9q21oPHMMM72AhETPjTYdfjvyy3w2hmi0xfAiztj0FzFOMoWvnuJZ262TWHThijE93hh5Y7/UMs4zjT5sY7P5XJBvnF4Ap54E5oOT2KFLwa+yWkM6wzYtd4Cnjy5UBYg8NRBQCxS9u4efO3fvotJhqAkMKLhgx/5AEN1aFZdkHueuvla6NACBN4tBJ44c9Zz4/7m5UtI/Lu/wQjTMOr+8s/RZIrGWKcTf/kPaUjUHccr3/ChmF7csfk8s5Wen6euObEsNxydNxy42U1nEtsU6i3UeiN1qDo5gbYpP6aamLiCqdIGx/TYuzMcLVXT9OSleZx+Au0DfmQwIUJukRXWIR+a+nl8GV3jd5Bx99XTC3iUcZhMp3flMuMc0g24UDWJEW4aLF4dRas6E7B0BJBl4akhTQGYsnn8mZjKF8oCBJ5CCMiecHwCs6XFROMA0xh+9NO/zBhM0ZoZPfEU9nehSwsQWIDAu4PAE2fOIr77nVOIPHEcg7FxdFXnua+5YRg5yTRtF9zQF/UzrIKe27RgD9B0Hc3g7udWAY03HZikF50kEk+gl2ccTXi9DLcRZcDNfeNUhiuQV2OAjjHxdLGf4r71FEOx5H50TBgzjLkxYmeAej8dB2LMiG73IY5ZygaV950WruWmSTuc72dTMPDx+DRLhB7JJGnt7LMxmW16jZi4zfjuONpfc98dQBfeWoDATxoCZh5J91v/9Vewaftm5ORkIV4d8M6VsMCdf9KgX6h/AQLvGQRkJ/eJFjlsvGTNelT+yZ/ibz+7GJMpTjLVSCzfG4eVL/8DXv3+SyhZpGXdiecJNaM1kzhwfhLW5Ais3BiJ0jQDLOE6pPAw6oRUA5ZviUQeuXJ4dBhycs1INrvw7z/g+ap8xmOURCkBxGWRGYf78coPBzFJx5llRWaExwZ44LwDlgIeHE5PVhPN1zs3WRHm8iM1zYSlywzMz8pYzho3k9cDHT3MI+xwQ8eYtPgEOfbriYJlobIFCDw2BMTzd4LnP08xRnialp8lJfnM5cwzc/lbrv98OHA9NhgXKliAwM8EBJ645iwEwsqkEh/8/T9Aass2/PXFP4LNZEO0NRr/9uUvY3HiIkVMLCQ04cwAs2tfDCZdAebw1s6z3bHr/2fvTcDjuq4zwb/2vQpAYd83AiAIcAHBfRVFipKolZLi2LEdZ3EWpyeTpPub+SYz3zfd018nnck6ybRjO47jtWXLMrXvIiVS3HeC2Ejs+15AoVBVqH3+8woFgpScjNukBJLvSmAV3nLfvf99uOeec8/5jwsRarJmkpXkFnBjmhr0gUdIlcdJiAoDGnamoYZB3lY789eGSWKgSTq5b99sI+evGRYrGWGYgnLjASdWUwHWMrn3a44IVmZbkUVqwZJaPlccvzQWPHvQCC1ZXAwkSWC0BEMfuH/NZ1tMktBelc53xRt8nzRSAgyy6Qh2qWsUHzb1KkqyWI1SRRKCuGwLPNCpg+qnioCKwF2LwG0XzoKEeOZqqXo+XL4NBQ6moJtsR01GDWrTKZjJoMLgZv5Q8MYZ0E9qP4fQs8jsQ3moo/lax4lmcfbhMYPC9pI8D+4xC92pci2/K6FS8lAWm4MnpB7+Lx7ZkiGGrAF4cr+VRGTJqczqWHgWrzEpzC3J65lamGxmNG9TsCse2yrlnkCqlmWCgMQWZ5Ae10KGNK+f3sVL2iWve5aLWb5Iq+mnBq0WFQEVgbsfgTsinAUWYVqZp/PKSgrk+jzGC3MG8QUW4gQpuMPuLyKW/ji9tpPJDCQdXTKUa+m0IzXJ1CPMUfy2EAdN5VYxOyv0aHyOXPGvFZHLVLZ/gUL2GS35UJUp8Be68Rd4xv15qY7jLeQ0YmGRMVfWYfxHEtwvJbcQdDQcdLk+Od5kZLqJSOD+wk8YidoHJvHmuQ6kM5phaREnsX7SH9aVZpHHWs9k8kvPqt9VBFQE7kYE7phwtlrMjHM+jkutp/HoA8/CNzuLtQ2rqTmLgObEbK6A3z/HcBCh9SQHt5Hc2S4zTcxiXuYVlInCIiiftIDLLYqslL1g+WHEEyUuP6nx3hHxKQKDWZTUcvsQkHGe8UwqXLJmqxV2q02hxRP6vgS5lxWO3NTjKJGj5NmemJ1jlhd+jzP7S7qL16cuuL8+ZQkq/AFffbQRG0hCcnOJ429+8DYXL//2QvXm+9TfVARUBJYrAndEOJuZfer06TM4dPkf0TPVisP/+W0Ur87Cr8X+iKkoN9GJa56cIiGMdH6Il184AV/Cjo0Hn8D+dSswPjyD9KxMWqNjGB0ep0e1G4mRThw9MotHvraVIVUdaL4Sx/bninDhnVNIW78VlXTwkolJLcsYAQpVkrni6qVTaGppw8xoiGkKH0GaMw/1Gy049U4LKnZuRk4a+ZhpDRHtetbTjdd/+jo6rs2j/OGd+NVH9oDJjpbuZCzjDt/+psm6RBarHyvE6z5ds3wMCvWAisC9gsBtF84GxjmLYP7hR38Jb3o3s4l4seZBNy61f4Bzf3sef/6738KWLduVfekV6x/GkyPpGI9mY/uWYrS9/yrOts6jcOcOlHqHcfhiEyyVa7Aq1oePPhjDjt/eikSQSbgnYvDN0GPbHELC103mzVUcD6rbalm+CFCoMC8Rdj/0NAryM3G+x4tMOuJ5pgLweJiRzOYj/eQwstNK2AdmPaIJ21WwFs89YcGHr3jw8NNboCfpvBhR7ufySR7ZcuyTZPb9jJPadxWBux2B2x5KJUt7jdGCcQrQtuZrWLGyFH0z1zHQNIn2vk789T/9P0yAwcwespHIIllFJDF1bHYKJ15rxWxiGl2Xmzg/k6CEqSlNiVlklq/B3t3byBtM8yfvMzI9V1fLB3j/5Am89NYJzMwzuZeqOiz7d1HL8Zwfb8ep42PYtf8A0xvK/jNzEV96Hx9wC+SVw+cRiidj11OdEZO3kmYwdUD9VBFQEVARuA8QuO3COUIC5U3r6vEnn2OO1Ll6vPK9o+htmSSvcgyVaUy2/h/+i5IAQdEAKMijJCQJh6j10qs6PdcEh9mOSkc+5ovotV1qh//MOGaY0HxmehIhMndJBpPA5Di8MTeefPJXsL3ChNa+UcUMeh+M193bRS6qNOFZ/OidnyFS4ERscgCTzKfqGx9Bwl6Bg0x4vjI9iJ6JOci2iJFe/HrGrMf5PoUCyVSTd2/n1ZarCKgIqAj8YgjcdrO2PH4+FMK2DavwZ/Fv4e2qI/TSplbc/x6+8Rc/QGP9CvgXvLYljZy7ugjmGOkHzenY8cQuHP7wEtxMUJ6mH8fE2ARyNm/DisYCTHmnlMTbttwcVDaakFmViaLiXEzn5WJonJSfql3vFxv5T/1qOnVFArDGbZjobcernlGsW7kBZemAe2Uu8nMzUGBPR8/162j22RTPbbsrB+kZmVi53QotF2XqEH/qg6Y+UEVAReAzQuB/WDgrxkeakj9pD0z6IgJ4y/o6bN+4Gj4mlBgc+z2sLC9YFMxyDVOpIqumBNncSYySozOndht+Y802JaF1LF6Kr/3+ZoYtxzE/H8NDnzuAMOtM2HKwpjAPMV4/z3ptOTlYmSc5QNX4EcF02RaOo8aShS//9h8rCcbow8SQH4ZS8R2Kk+0q6A8hqywXHS1n8d6VMfFNRvnKndi3dy3qdicQDqo+Bct2bNWGqQioCNx2BCicE4wl1Sp5YpVtYOUfzpyfoKakDhkY46SjyVGKeI9KakXxsF267SvXKnGsjGW1kVhkVWUBNWpya/NZS6/jRUo9YsKkxFX2HJV9awrs+ZBcKSEkdPfiveLBK7/HKYjljHIPr5PQKokDVcsyRYCDFY5pmPIQCHEbI1n4hshLwnPyyukYI5XQWPHA576IB5d0Q/JA87W478dXyYOt/G0uAUf9qiKgInDPIqCX+dHrD2KKuZVjlLRGUm/GuD8sLF/JImIwVRIwGIzoGxnDqY++Q803ihW1z2BtfZWoPwtatFzPWkkgoeWEG2ddygycqmLxU67RKA5hqf3nJAnFzc+Te7UU3HJO5qa4EvS89JrFCtUvyxgBoZcMUNCKxUUZTxlHviMGvm8a8T2IkjKVx7Q6Pd0P9Ejw94i8O1yQGfnOJbjIS+bXlk7ef+MvC1Hx5zDohR5PLSoCKgL3OgKKWTvGvd8YhV8gEMQbr76Nhsa1yC/IX5gMUxMhNViyNXUNjuHQof8dtsiPYbcBp47+M9qb/xjPPftVimT+J6q0lHgI894IzG7uF1Kq6qltJ2IRJR5ZT+cvrZamyvl5+KY4YTN2lTM2rKQnNHASilITT/CggdmpYlES/U8HeQ0Zx+iVbc+wcoFg4OQdZl3iR8a62MRIOEwTuDw71V5phFqWCwLKwkrksSYO/5gPeidfnvAM2rt74Gc2sJKKSpKMWDE3OYzOniE4iypRkk1O9bAfly5fhDk9FxXF+RTiYt6+/8ZY8Ev9aS2XMVXboSKgInDnEFBswfKHr6WEm6ewHBiZwfVrjE8eG1+kTpTzEvoUZ5jLsff/EVtqfowETY1tV4GKghFcufgOzZY6RQArdVEQhye6cezDy0z3qOF+4jSuNZ/D4HiA4juC4YFWNLf2cZ/Zj8svX8FwFz2yJ0OI+CZw5fQleHxhTuCDuHTuHHzzXnzw315g+E0nxntm2Y4Qrp1lXRNkGktEMNTXQlKLJoWeUxYBybZKe9Wf5YSBvMJC0amJMGf3R8cxMDWPqeY2HH/tAnq7rzGU6jrfgTEcf/8iSUfacfjUEfRPTqDp+AWcudKGy++8gpb+ab5jSTrP5dS3T6std24aUGtWEVARWG4I3OQQJpOM3paGdRsacfLIETywbzcMpmSmm6RwpvbqDSBgMGPNmnlmcKLyE2ayCP1VHHr1e3jykWdgsViYcyKM7qEpGNPH0cMJdvbw2+iKkTDE6MfmWjPOHD2OuKsYPn8dBWwcsyMeCvAopjou4toIMAQTCsaH0DbcCU9PEB6GURnJFqaj6d1qacWl872I9oawvlSD8ydOIeRwwBvPxLZV2dSsknvYyw1otT2yWGJe74khzNliiDIZSl6Y4XPuIpSXu9DRF0TflV4lpv2JB6ox1d+CqckRTI0b8ZXf+V3Md55nXHsbqku2U29Wx1h9n1QEVATubQQ+5kUlJuLJqWmkkcfYabtBsC/mauG9bnzgK3jh5GM4cwEoJMVv0/kEHto5jvGuP0ZLcwvNzNy7np/GlSvHcfH8VZy80ISYNxcPPf1bWEfTs6d7HmXFT+Dg9rUIXR1jKkiSOjLO2T/pwZS/HM/93m/igVUFcDKXs8mQwEB3CCvW7EDdikyEfF4MntZg75d+E+v0s5jsm0dp0aN4ePVmRDu9iEnj1bJsEdAxvWfP9bO4SJKZ4x9dhCcUwNRYD3oHZ9CwuQoWXYhbJ9yr4N6zxepiVjE9LTp0PqQpXG/ilgdN2iKW1VFetkOsNkxFQEXgNiFwk+YsDjpBzxgmBvuxm4xcEW7hyj5uajKUrFEb167GyGNfgr/vQ1SWTCIYYLYpHzAwYIfRbFLMydOjY6je+BQeK3Tg9PkzGKL2PPHeS4hYcrEmS4tzJ9/HRKIYuTWliDZPsCv0Frc64Ii24cjPXke63on+tjb4M00wpc0iFAtiesBEb98sZK/04PQbL8MPN6rdNsx56clNoa+H6ihzm96JO1KNaM3huSmGwlXhy7/5BGOdz6Dl3BzWb38K256uQCQQwnQiA28cOY2J6euYmuvB+oaHKaTH8MrLr8My1QPX6kfIGEet+460UK1URUBFQEVg+SCwKJxFM7bZrNixvYEm61pOgBqEKPRSNJupJofD81hTV42fXDqA6dM/QUnJPN76wIkV6/43VNfU0JkrBLOjAKvynXQYM2FLnQYnLhxHWGvEahKTpE8PMGeyDe7CQtStLsN8lpt0n/TgNdPRi5SdFy70I7OuEumlRnSNe1FRlgdJwTw2TsKSjBxk5Rdi3HMOJTV1KM/QYc6noak7Bmuxjk5iqrkzNU7L7pPvV0JrQVV1PdKy0pBh2s4kFpOw5Tm4wJqTVSAc+auYGEWDq+2dqKjZj/LCEhS6rDhx4jSc1euxgRaVmKQsU4uKgIqAisA9jsAS4cz9ZpoRGzY20POZYSyMK75VMAsWEmJVSE/u3/j9v2RKSJq3T7+E1Vu24Eu/9hUYtCQTYXICS0YGw2OYs5mJ310l+dj0BWYTIpuX1RiDl066+75YhVxSc4aoLdlXZCmRVzI5JzTV2Pd0LZ8fohLfgJp6CR9hEgS6keWUcP6WnM/c6N7+1BOMdaYDGe+xpIkXqwY2DT3OVeG8bF9X8eTXmS1wWiUVJC0ddgfKN7qUULvUuMm7VVZTj6q6dTwe4eKQ3v4ONx598qAy9uF5+i0s2x6qDVMRUBFQEbh9CCwKZ6lStGcRzJK8/ZMEs1yjYzhVMEgtNs2Opx9/DDu3bqe5mXGqQR80dB4TG7jEpCqTKL9Hmac3oyKLjtUMrWJ6ZHOGC1budAeZNlIpZIe6UcK4QQRF4XvjBPMU3SjzAdrSF8rS46lj6ucyRYDvl1C2SlHilsn8dmuRkDj5SZUEBXZwyXinjqufKgIqAioC9zICNwln6WiIEtRsMS8hIbnRfa1WB6/Xhxef/1MUFm9BQVE9Xn3lEMzUguaYwvFXP/9rNG2vpD9PnAxi1JAWBG+MWahkP9vEeqOhIGKymb1QxIHMRCKKSCSMMLVunZH5fHk953GGPkvy3jj/v3F96j5ZBeiZnUrqlmtlT1P2vPV0OQ+HmIJQIStJXq1kNlrSHjm6eIyLh8VN9RuVq9/uCAI3xkzHWHcTk1sIsUiYP0Z6+Rs4hvE4E10wpE/i3E0cTx0Hd57jKXH4alERUBFQEbhfEFj01hZNWUhIXvzJS7jWdl3JCnQrCFqtAVcuvY2ywh8whOlv6Y1NcojMXJQ2boPOkQbfrFcRepG5WQy2TkDLyddiscPCLEOaOGOaT76DcT/pPB12emLrFCrPgc5W/OT5H6L1Wg80JCmZaB2lgLZw4tbCOzDJPeUIw7ks3A9niBZbq6H3rpnsJxaTFpPXJ2n2TgrmeHQeF999Ez956TV0eYJcHNDb22qlQ5EFCU7u4/Tm1pB5ymLjvVwkhGdmMNg+xf1utpH1mbgoECltoOnVyvMqHeito//L/87lGkaahyEMnqN9Hcq4N7VcZ+hdFE3vv4Uf/+C7ePv9owjESEQT8OKjl3+GF946jAlaalRH/F8ef7UGFQEVgbsHgUXNWWKcZa83rLFgZsaH6xTQZSvKaX5MOlmJ1jw8PITOtv8XX9i/AlM987jc9hEdeuoxH/BT2wkqGq7ileuZQPNhCj6XH13NZ6DLqUfuRCee//Fl/NZ/LME77zYjY90OrEgLMma5D66cdHRdOEPUNqH/0FFMN+dj8+5NSAxMwVxuQbjtJM62zmPj/u1IT4zgyMunoXFno/n5U1j7+1/GtrUZaD55GSN+E9yueVy5ehJpdQ3oOncaITqRFcVn8cKPevGr/+sj6Lt4GobiFSin1t1yMozMsgiOvnCG7dmONSscuHbsLXRGLFhbW4tsmuAlDlsttwEBvmAaMtdce68VJY9E0X65C046Aw5cOae8N/0nPch7sAKjzX1odwwgMdmHoCEDDv0Mzlw+jYeYnYx2ktvQELUKFQEVARWB5Y/AonCWpor2HNMYsLaxEe+++iqKivKoSZoXhK4I7yBmfXX4xvNJxzCbzQkXzcXDTa3IcTqRk5tLvy4KM5onDSYNrr35EYI5Tkxc6IAu04raFVvhb21BhGbszktNiLgtKCiswbZHanD9/eMY7hmGj3GuRnMCTWdb4R4Pw6mNouv8cXitWTh6zoHacD9iZgdpTmIwuTh522gaDc4y/CuBLQd3IsumpQY/SYaxOdJ7htF79Br0lTnIzHYjNuNHXBdB++vNcDxQS17nBHpPnEeUe+Vdl1th8VsxPOLlQmMSzfNOPPhwOvfKVeF8O19j4dWe6h8j+UgFdj+xGj3HT6OraxjBiBcDXZ0Y5JhlRGYZn2fHjuc2wcqRnpnhQk8WiVxAqkVFQEVAReB+QGDRrC2dFYcwIdhvbWnDCmrNaS6nsp8r58RJrKi4GI60dZiJFyJorEBGVgmeeuogzJrDqK7KR3llVXKvmvUkGI+qDRdi7Ya9WBlywsB0gcUFbgQGHNjw4D5UargvTJt0mHvNMuf6GTAd0RmQn16F/bs2INM3Q+pPOpT5ZtHbGaCJPAG7L4ixMSvW7H0Uj21Zg7KCFcjNtvNuqWGUdfCZCGF8op9ORF7orIyPHvchQg2ssrwSZt0s46l5fsiHAPfDE+T/numyY8PefajSBWlqnUNa6VY82FAPlyTtkM1stdxeBLh3rOeWhVhpBN5g0I8wtyCs1mxU1q3Genr6m2iJmY8OIxxlwpOoF6NkFaOL4u1th1qbioCKgIrAMkbgJuGsY0agwCTJMzVRbNzcAD83B0Vgp0qMDE2BkB81m7egZss2zNHb9vTJb2Fr4wf46L2/xehIko9bMgnpTXoKZD1DYih8aUKmkzf3fM3I3zCPV//pW7iqdWPlppWYnryGv/+rv8Z1ZrqqqCtijuZr+NGPXsNMUQmcdAgzZOZg/dZsJOaC1MxLmQUrinf/6e/x8qEmzOuH0N09DoM1DcWrcvDSf/8u/uHb38DZQQ8Zx6bR1DoHe4WGGjaZqGavo+1yH5q7osheJU5kYVoFHCjYHMbr//RNXEEGajYUIdj/Pn709jFM0SFcuLrVcnsR0Br1yKooZerIfvzDX/8NrnT2kgGujGF3w7hy4SIJSPTIr1iBnEIDvvvNf8R/+/6/oH06Qh8AyWelFhUBFQEVgfsDgUWztnhE2+gY9dznnmQccw5mGeokXtc3TYgUVoG5OYwO9Cmc28OD3ajIPoWy9Bqat7vx8ovfxm//3v8CS24BNjyZy3slttUA98FGaKiRS+IMs7kMO3VlcBaUwOUy44GHt6K7twR5xeVIt1vg+vJBlJC/O8MZxTuXLmFzbgNWVDyNrMFxFFZmwqrbgy2mLhizC+E01SAYpnNXNIHS+q140pmDmXktysrLSQVJ4UuzPL3RkJuRTlILP4wkWSkYGoIl3QE3BXoiRucyazl2akrhKCqDPTKOvuvdmIwXYN+aIjqoSYS1Wm4LAlzkxWHGul9phJHjnLlvK/K7C5FVWIosEo2Yf+MhjE764HDnMyOaG4WFe2DP6kBI50BlGceCXtzqWNyWkVArURFQEbgLEFgUztJW2XPOyc1GUDRm+X1JB0SD1lIjbli3Dr29PTBrY6ivrUZMV47XzyZoDp5HZm4xBXCU/MgGWJwG5W5xKDMwFaTcL4qoCOiy+pUKyYQQlpis6ahfk0UCkWQ+X4s7DZV0FAr5Z7Drc/sYT22kl7YFK+tzFJpOcQkqrVul5JKOw8E9Sck9Hee/GhSVVaOEz5DwHLIx08xeLbZ61h2DmeZvaUtNTS0/JUWmhFBRYLA9pWyP5KYOzTmw7eAXsNOWQRwcPKfuNy95BW7DVw0sLr4LHC+t2Ym6NWs5NlH6BsSQWViJ3GLJfBZVtjti9FtYQRY4Gb8I3w1VMN8G+NUqVARUBO4aBG4SzqlWi5CWSfHWIgL2qWd+BTqGQfX1TzDcZYp7hXYUlhZyUgVTTjL3sp9UjJxKExR6SeHOCXch5jhZIydbMkSlirB+hSXWeKHEKUjF2UtjtCPX4lQm7zgFZ5g/qXKDpGKp8GS93L9eWm5cx6ML7GHhJQQXyWtvtEdncaCkOp3NTzKdfRyBpbWr3/9HEEi9C3wpFsdd3rc4x44cNcnC3+XdSY2VnE++kuqIpCBSP1UEVATubQRuEs4ifMeYtMKdSb5rzoby+9KiY6Bx98AIiUe+Cd/1I/A6t6JjWov6Aie++qVfQybNx0qh1mM0MxEF2aA0Cq1mhNqRfE/WqeEGtMIqRk/o1LGlz1G+i4D8tOk4+cybBPrHGqUe+OUR0HBxp09aPri20vO7WGTEGztCLToh/gr0NdCSkjVKjZmbzdDzGIeGApsCXUhnfvlGqDWoCKgIqAgsawQWhbOWLA/+WT9+9sJr2LBxHRo3NShm3aUCOkJe69de+3vs2/Jj5G7U4WeBgxjzrcPXv/NXdB77Pv6vf//vGEXFaFTfOF7959cwqonQqSoPDzz9EMqYQUrUIS2pPj2dA5iYMaByQwG0olXLxEzTplrudQSY4ITvRO/pNtiqqpCdrkP3xfM4ffYsdCvWYt+2jbDOjePIG2+hl+QwDz/6GKJXL+ADhrnFuVVSULMDD+6qho7vjCqg7/V3Re2fisD9jcBN3tqy/2ehQ47ZasOlc5du0pzFk7uruxvawQ+wKcOB2VEHjl8bxeUJelQ3PomfNU2go+O6ognNe2YQGM/BvieeRmO1BR8e7WIu5us49PVv4Z0zffCOTmDw+jSm+y/gpX9+Hqfbx0RqL5jB7+8Buad7T8tJeHYGfaOdGJuegG9oAO2dfmx66FEUW73o6W3F9XMn4F65BTtXF8MzNsIYej8qanfhqaf3YrClGYOTzPms0oXd06+J2jkVARUBisSlIIiJOUJTckV1NYYGhkjAEVZMjnKNnPN7p9CdmMH3rtfg0IQLG8Ot+E/RN/Ffx15CY+txzExP8zotzZZaeCbb8M6hn+DVS8NYv6kQne+2obhxI+I91zDmjcKoDeL86ycwzVzNTefPYYYZL+QZarl3EdBRqA71Xkb31CjOXT2Lvr4Z5NFLvmZVFXZtewSr3Onw9aWham0F00lmwmVy8g31ounMYXz3ey9CV16KbJdRjT+/d18RtWcqAioCCwgsmrXld9li1sQjpNS8gI0b1sJJ1i9fMJk9KsFNv6zcfIS0xdAVxWFP8+LRpnGsHv4IzUeeRzOFclaReGtLWkemeMxfS7KQHLzwwkkmvNAgOGuEOy+flJyjdAiLMvkFiUe83It2xZGttzPpgQhm1Vi5MC734Af9DaJ+jIxNkdvcieD0FDz0zA9OejA1nQvPwGkE40561c9icngcA5fOoKnPihqnG5t2rodn8AJ65uaTHOi08KhFRUBFQEXgXkZgUTiLYDZwn8+EIErzM1FZU4lp7kGniuTaLSkqwsqSZ/G3//AfUFwWQN1FMyavTuEnIx5U/Kc/QxkZxOQ6LRNXFFQVo6J+Lb4S8+DE6cvY/aAb7/zsxzDW7sbGXDOmp/QoYyjNmZPXkJGbAbNkoxKvH7XckwjI2itMIpnc8m14YG0dRq9dRO8ox9vche9/+1sw5aZj354DyG+04NS772I0bsXqXWuRNjmHjJIS7NhRjBd/+CN0D9WjOs9B53t1IXdPvihqp1QEVAQUBJYI5wTDoix47lefhoNkJNO+GzmTU1jFScn5hed+BRnpbjKC/QRvjg8jtqIadf/nf8b+h/YL4Ta9akk1kZ2HdQcYokTCkpzq3XisKAA9UwI+9sUKElA4QZIo5DHUSkctfF9uHQwOB1M9CuVn6knq572GgDgW6mxpKC1LR5DUrGm55VibzV7qy1G7bgYmWzrsZJRDuhM7n81EIKJFRqaLIVZJ7+xARI8DB7+MMN8RVTDfa2+H2h8VARWBWxFYFM6pEyYmgQgyDvmTdn+FuMPKEKmvfP5X8OwTTyEQD8PI6x0mA/M5exUyiVQ9WoZdKWQf9Kw1UDALA5mDe4oivEXpEa9t4R9zujMZVhNT9xFTwN3Dn+JTID8iqBPcf+ZOCIsemVmkZ+V7IVYXKWZnOqx8AeV3ybvNO3ie5wwGGGhdURdxCkzqPyoCKgL3MAI3CWeZOA3MGMVsFEoY1a391jFMamZmGkcOvwcjJ0opQhThcLrQsL5RcR5TWLXEhikSmJ/CTy3HpG5h6kqVpJJMpi6ZgFN7zbxGmYiTJ1OXfvxTuU72yP+tCz9+q3rks0VAFn0yajLSyW+pePaU4JbDCS70ku+M8g7xvZNj4s+gDjnxUYuKgIrAPY/AonCmvIPQaV690ozKqgrYbLZFTSaFgkyqnpERhMZHMCd6r8GIq81X4XTQkcdkpNdtPa+geCUFo6IW8YYwiSQMeoNiihRBLVmvhL5R0Z4V7VpM4XI51ajkFyVJhlByyjEJmxHWMHm2jtmLRIOKk9BEmeDlHn5ThTRhuBsKxzcUI0ENvfkTtLrE4vTsV8ZQZG9q4SYZq5jogmMdoyROMIVkYM6PhEaHtHQXncpUv4S7YajVNqoIqAj8cggshlKJZuv3B3Dy5EV6a19hTuP5pMBcqF8my96uLvzpd76F46EQvn/kA7icDqxeXc+JNY6fPv9DdFxrp+ZtZhzzBXROTCIwfAU/fftDasxhnL5+FX6SmMxNTSuJKkQZioT9CiFFxxUPEvoIBs+0oP10F7NdRSigdUoo1/TkbFJI83ff5BRpPFlHfx+aPmAaQeZ6niePtlruAgTE2kGBfOHqEYzNzqH32im0nrqK9nOjdCA00Hv7Oq4NdSM41YdX334LM4EwWgaaceynb+HFH7yAl/h+HT85AC2pY9WiIqAioCJwryOwqDkrHaWQNafloKSiAudOnsXGbZtIKmJQNFMxTWcy126ABCXf5cX23FwEqCW7M9wYHByi+RqYowOY0HXqtRmYap6GOTMIC3mzJ5hK0tgfQdB6Bh+8cgGmuj3YUDyP86euwBwphtU5hilmkYr2BHGlaxC2/locOLAF3guv4tiVKOrIFLXa2YM3f3Ic8cpd2Jqvx1jXCObTzjO71W6syktXMmjd64N1V/dP7NEGK6qy3Wg9exzO/ErYY17m52ZEAJeIer0L3rYJTBUxxWdYA8/4GBK9s0hMG1DbsJsxz2M41z2JHdtK7moY1MarCKgIqAj8/0FgUXNOXSzmZhv3kAOBIMw0QYu5W4qW3jtT0x54OjpQ2tqCqM+HsYkJOOhpvefBPWjc0KhouxIOZXNkMSf0KEY0LqypMqJrrAeW/GyMHPVh23OfQ9HsEAaaPXA716GqSofWa8fpLLYKJdm52LhrP7YX2NB/tgXj/SV45vO7MN/UhOa3prDp2S+iOjSO8QkP+vs/QNS0ArX5blUwJ4foLvhXg4ysUkz3XoPG4aJ3tlEJ3xOrjNWeQcdCL0aYu2RFVSYmpjqRcBfwmA8XT32AExcvQ+9M7lTfBR1Vm6gioCKgIvBLIXCTcBblJuSbxlUmvd/9wDYmr0h6WcsTxFM7OzcP//V3fg9/+eCD+L/XN6A8JxshOoTNk6hE0jQqhdLdZLfDo/NgeGIWeeW16GvugIshNEZbEBPDg2QFE29tCww6Ox3H9Cgu2IKEfxaz3lmEPOMYnvYx7MbCTeYpDA1NYJ5x09a0KCaHBjAZkQQaWmTnbIWVZtKp2SB/X1hBJFug/rssEeAYxYNoO3MN7vXbMNtyAQN8PyZHB5mCtBfT8zGEOMadfWN8Z6ow2jUEU56JLx4XeJt246Etu1A4E2TGMlVAL8vhVRulIqAicFsRWDRri1OV2WJGaUE6NjTUIs2dgVmSRqTknpwXxrDM7BwK2D7s2L0Lc36/4okt4VcWhkvJ3rM4aMU0dA4ryMNAvJDakQPFdaXIsLiQvbsSb794Cukb92FFhpb1G+Awl2B1rgUmlx/egnyMD3RixliEjRtr4TEO4ciZbmx+5nFUWEfwxg/ehaF+HyorrHQOokm9IAKffx4ZDmbA4sJCLcsYAb5I0SD9B6w6bFq9AcMd7Rih/4Gv7xLeerUF5ZsfxBrGxwd4nd3sQFFNMdwON6yrLPjgyhF0m/Owa99+6OlsqLqELeNxVpumIqAicFsQWCKcGV9qNuPxg4/RkzZOwckd5ZRkXniU7Dv7A34cPXaMZuUBhrskaRT1TIrR29eLR54oU66U8Kiiqu0o4TQqXN27t+xHVPIoZ9bh2T+op2NQDHKnW/G0lhAaiWN1Izu/FNWadeLvrXiO29YfwG9uYAgNnxNLlOPpP/gaNPTqFRKKtHxeRQ08jQsCiaFWyzJHgOOkM2dh1aZcxfu+tHYlyqhMb9+9nWMvYywe+VrsKqCjIL3zN67fS0fCCDS7HkTlrr3ypiihVDHVW3uZD7TaPBUBFYHbgcCicJbKRDuWMBb5vFUwy/koOY3Xb9iE/PxChkJz4lwQ3nL9HjqO5RUULOZDlok1FRyzmCOZhNpRMoPJ9Z9YKLRjrFOEs3IJvbzj/D15fZQCO/Wdd6cq/8SK1IPLEwFaVRiuJ0UyoElJvUMy4BS/FMDKYW6TcDEnRWLul7xnyYPqvyoCKgIqAvc2AjcJZ5koRXsWYpEUW9PS7sv5d996A2MjwyRrWnIrZW1yTzofDzy4TxGmcq2BAlu0bRHqqfJzBfONCzhJS2FMNENskokkF+qgprUYDpu6/hf5ZJskrFbipNXy2SCgpfOXnmFxIoxjtIjISMQZ0y5FcoEbeJ7mEUWTFoOIRq7jOyQx7mJBURZtytXqPyoCKgIqAvcuAosSlnKLsc1hHH7nMNY1rqPDVfYNJy/2X4StCOzrbS149PEnYHelwcOsUjKhutOMGB0awjtvvoqdu/dwIqVQTYRwrbUdlvQcFOSSopMTrPwIsYh8anW8hhSe0XCU3/UK2YgwiIn+JCXB7FhjdBSamg1Aq7ehoDAPuoSGTmX08OXCIEGBH+PsreVEL57kIvSlD1FxTJNJnvGw8p1H6UWu5780sVMLi4QY0UMOZ/EQjosmr5pJFbw/jX9kfOYmhzHMzFQkdUVmTj7spH7Vm+VdYLrSAHM9D40gGI7Dwfcmw6VDmI6DaWY9mekm6RORRifCT6Ol6jNUBFQEVAQ+WwSWCGemdQwE0Nk7RsHWijUNZGTKSFvUaqSZIgBd6elIy6uCjmn/tFEvvbWDiBltiGhmYCQBiUhIvSaKcx+ewdmO68ikf+2mJ7+EbCsFsElPp6B5GB1WzA33YypoQElZNnzeCeaC9iE9L5sOPxSkFO6J6VG8/Y3XoV2VRj7vfBhCQfReimHPV+vQd6UVltwSZDh18EyMY4apBNPsGnjn4igqKQOCXnS0TyG3rJgx11GMDFwDLG6Yx/vx9usePPHvt2K4rQ8udxGys2xcCKia9B1/DfleaDUhnP7eW+i1Aa60NKwkKY33ggc1zzQgO92AjrfO4MOmbrhKXSitWIfe95i5yr0CX3ysFD/78+ex63/6KioLzFwkquN1x8dLfYCKgIrAZ4rAonCWVohmY6SH7NqNG3CGTl+7H9wJAz2xl5qixflqemYOdKvF6OB1aLzvwRq0Y7TzCklImHmIGrF/oh+eUT1+74/+BJHOCzh98goGvBqU7q/B4FvtyN6eic6TRzDErFSrI1UYO3YEIS4ECmtrYaNWbafwz+IEbHeUYuWGGlhdzFjknVL2s/svvI8Tx3rBfJNoLATOn2zGHNNSghpYQmNH4+5HYej8EJe7o8icCyNn6jqZpjrgMxdhfZqZoVmTuHLoONonB2GvDOKxPeuUJAvqdP8pvIdiMUmkoW5tFXLzXVxQmTBxbEShchVTdixsJAHOGlRtzEV6TiZ6rvbBHp3H5Pg0LJo8LtxUP+1PYZTUR6gIqAgsAwRuEs7SHhHQs0wXaWecscNqJhdyytB8o7U6miATNAvTmIyG4S5UzjP8peMKrgTLWYFW8bTWGSzQROcQMVphYvgLo65oSuYeNM3RU9f70NJOTXnlBCa6nTBFarF1fwN6z5/ClDEdJTWMcZ5IYHa6H81XgrAXrMA6t40mzSha3m3HtM0Ky1AHprVlKMrZgvKiCLrHLCh0hzFwuQ9qVAvTAABAAElEQVQ9l4YQLU+Ht6cb9jkrNu/4CnxXriFusWLb1mpUVEYwF5qkSdvHzXJ22EDRrErnGwN8p77x5YpEpnGt5QomZnJQV7eSDHRGxc9B8nnrtPMY6OnCvHkc5etIamO1wkYinL7BaVpsaOFQx4jm/5uoCZSR0nBrR7ad1KIioCJw7yBwi3CmaXt6HINdHXhgzw5yV+voXSte2Tc6LJOAOOfQq0cRtgkriUQc3AO2OYAZLbUg7hcyBaBO1403X34JHZdPonjTcygJTJCz+yRZxsJY21CA/AIj63GiMCMLYz1TSOiMsGvj8GrSYeFEHeSiwObIxYqaGoWpLEY+7yiTJuTXZWGib45m0CK4GFs9EZTFQBxGtksxmZusjJF1YYT5f4vdhdCHZ+mUxr3nUJSTP4lMRnqgWZOOsEOHucteBLZEYEtj+9WZ/8Yg37FvYllxorSyHDmZZpijAXg9vTj7Ea0chRmYn9chr7ACFSuy+C6EMMqczo7YPNo7Y8ix3GzBuWNNXM4V8+9wnn8Hvlkv3+klKxUufsW5jo4ValERUBG4RxBYFM4inKzUSDdtWIXG9aspLPWcLEMfW5EHuC89PTFGrSaMmakx9PS1wewNYWC4m17eaYoXLgx2rN9Vhw+PnUbt2n2MSXaivC4TYxeasHrPalSszoNN40fXZBi5lfnISMuAkexRU6DWXJwODR3PjOTsLllvRnd7K722zWhYtxF1u03ILimG/52PYCrKooDPhYvmdZslBnNYD5OWplI6EJESBWfPNCOnMgtp5TnQpdmRsbUKBu5rGimUDfo4pjQmrHq8kc5sSY/ye2Q8l283+H4liHnFrnxc6e3kO6RDdf0arGBgcxu52YNcmFWvLsBsaxvamseRU1yGii0roLdoUUBfAqOGucQzjDcLpeXb2zvQMro0EsPn37uAN4z0ZqdzpFL4wR0BTMxF6V+hsqfdAeDVKlUEPhMElghnyWVvwJYdW5S93eAtglnW6eLhLKEu777yXXJq2zA7O4uPaNI2U0v1k3KktGyVYuqWdI+2jFw886uf412cSKh9U7nFU0/X0MM6jDC12PLNe1HNySQUYvarnDTMc0/ZlpmJrGynEkajMTmx7elnIc65snAIh+lmTYtejE5Eu5/7As3jYYWswkmP7zhjpx1CZELVQYmRRg0e/Vw9+xGiVzCPS/rJTDs/E3Dn5ijhWKvrt9GsHeLzb4R5fSYjcB89VARK5bYHULsrGUolIXsa/SqspVlWvO8j3FOub1ivCBuJg44ybk6c9cSTW94/SR16k8Z4H2EnoljCEmMBD3IKShHmQie1FyP4BMd9itl/iT59H6GjdlVF4N5DYFE4S9cUIRgi8QcngY/tYYnmw2u+8OXfQECh7UzQU1vCl8zK5GmlN7aV1IxJCk+JXY3yupsFX4DEJKkSmQ9i8TcKTwPDZFbXu5XwLT6KjYljXjaqP6EE/XRIWyjkLfmEwhzAFN43FYZsSQlTK5cSkZgqtXzqCNw07vJ0LtyWjtQiYc2Sln3iEC85fz99tTLiwWkxUDgb2O2kKBbhbGKO7FRRrdspJNRPFYG7F4GbhLN0I0oGJwPJPz6JhETOm0ziwGPFC8+P0fys5bVh9Pb7YXNp8PnP55JjW6YMLR19uAccXjKt0lFMOLij4XklPlnqks1s8QY3cHIRLTfMOOTFwuuX1iHxzGZeK3trYS4gVA1hEam77otuIU5dtk0lJamRP5I4RX4kDl7GWRaKIe6vaukQJpYPIY7RUTAl+H4u3W696zr/SzZYFq5i3haLUEo4y1dlQbtQd2zpL7/k89TbVQRUBD4bBBaX2+L0FWQM8qGfvoyuji7FxP1JTdLqtJgPeDE9OoIt22N47GkXtjRm4uxpL374/UFlco0F5zDS4YGWk67ZYlMmW00iiNaLRzHp596hzcYJmR6miQh6zhzDq4feQc/onEIoYqR0t5iZyIKaraeP3tQU3Fo6pgW9k3j9lUM4d/Eqs1WRuMLIeGhxTqPzmGSpMjCDltynFYFvNMFEpjMd79MpJCWqLvFJY/lZHBMe9Wnm4vaHmPebgne0vxOvvXwIHd39CnlNNOjDkXffxLHjp8i/zmt7JuDzhSmkE5jsGIU/GJM1nVp+DgIBLlz7x73011z80/45V6qHVQRUBJYzAot/wSLowuIJGtZifNyDns5uRegtbbxo1EL68R//7FW8eOkj/MWPDmFgpBv51RE8+VQayEdCkzhNx1PjuPpuJ+sZwInDL+BUSyv6Tx7FD7/+Hry+ERx76TW0DvrgaW9C0+lOmsOBS2fbEAgH0Pbh+zh1sR/j7Rfxg786RGFO6saYH2eOXEKQ+2ye1vO43jGCyc5xLiZCGL8+jjD3jrvPHMXRj9ro5U2Bz3tPHz9KJxkPpj3MfBS42eN8aZ/U758iAnzHEvOzaLl8FkMTPkRmJnDuVAdogEHv2TMYHZtmSskmjPkSCAy0M+SqG50ftGJkOMgFVwJtb1zB5HRE2Ub5FFt9Vz3KxCiKwkynYnm4qxquNlZFQEXgJgRuMmuLRpLQW7C2sRGH33wDubnZMDKNpDjhSHylZ2ICf/bnx+Fx7UfWqgL4mLP59Y/ew54NDI9itqHZaQmlkvqp0XJLrO3NDzDrMmKquw0r00woL96IYPtVeIJRDJ6+isb6dKDQCV8oztzQOZhqPo/LV1rgs88gkGOGlXHJOmoAs+OjdARz49nndsPf0YwzH7VgeFKP6sdXouf9dmQ2mNB67gK89nzE9HOYPnUJrtUl6OseZAhzGNmldXQYo2BQzX03Df6n/Yu8Q2MjXfBo5uEdaoZuIh05uVXY9fga9Bw+it6LzQj6jXjsub2wzI3g1NsXSeVJpjqJ7eW7SYdtdQz/lUETg0KYdLQjUz7FqvSvXKqeUhFQEVjmCCxqztJOkV0SjtFBs3ZpSRHSXA7lmJwTIdnd2YOTl0w4+Ovl2NzImFR3HiY0abje0sR46CUTJytK0NNW48/D+s0HUBtyMoQpF5WlufD32rH10QNYkZjFdMKC6vXrUJTpgHe0iYxQQxibiZKUJEBzeBaqq1YijTHUYraOs75wYBoj0x4YqWpruQdpovma/qvwDkwylCsEI+jkRb5vm74ODRu3QjvWi+mABZlOo0rRKYP4mRZ60nMbo7ezGV09/Wi71IwpWmoS9Ojzz46RynUeZo6rwoFO7XrMMw6N2Q6jfp6Og1rYuE2RSKMVRci1lQXgZ9qZZflwgUW2i/JVzXlZjo/aKBWBXwSBm4Sz7M8GpoagCfuxeesGBCMMZVmibepoMmPMC6boXhskYUTtbtmnDmBmkvuHEQf3BhccwKjpyCQqCQ3iMQmX0XIvmC4sWiPy1gXx1ve+j1aDG0540fnuB+jrH+VzHChpLKeg1sKityI3y4lJ73WMTwbhzCuA3TmHb3/9m/jud76DAYuO9I4BvPXmz9BHXu2s2lJUlpmpJRuQzfho8pkwLswEl9lJpjOXsv+mzue/yGtxB66l5SI0SxrOzAZ87Q//A57ZtRohjtfMTCe++Xd/j5+88xr87jTkFOnxwvd/wLH+Oq7Oz6F4uwsXmv47vvPNbyNQqkOm26JYcu5AC+/6KsXyFaIT5tDErKo53/WjqXbgfkdg0awtHqA2Omo9+dTDKCstgp9xzpKxSf7gpUQZY1pTW41nHxvBh6+cQF5JATRdY3B4fQjq1uK996ZICmKAjg4/5uw8NDyWRS0oQT4SM9KfbICGoR5xbi5a7cVoSHTDWboC+RkmOHVm9HmCKFmxElkkCTEZKOS1ZiatKMJWhwEW8fpOGLFxzwbYWtJg33OAWrgFGfZy6HqGkJPBBBi5DgpiI8aDTHzB+/JL8qH1T6EvbMaq4gwGR6uczMlR/Az/ZWicloul6hpaUfjWFZWtRzadwuLaPOR0F8DhcsKWnoYsZz5gM0Gz/QGYHXwP8nOw12SjwIlgRW09rCSQUYfzk8dRFtJCg1pIroCW7qFPvkg9qiKgInBXILAonMVUqKFJu7i0GPMkgBDyh5Rglp7IH76JIVR/+D8/iBdfeQ9jE6eRq3Hj4L97khOrSwmDUUzPIZqzyZfsyBSSBN4n5mcSgND+zAfQ3E3CkJUbGkgowdCZaAKZVbXI5XMlvWOUv+evXE0jJtM7MmQmt6hUuS5O06fWYMP6DRuUdogplNVi7docTtSkLuQiwl1eg2wuJCQcR2s1IUxHspV1VcxcxT3zJdq/0ij1n88EAS3fC7FqCJmIlnSc4gjIdGFYvzFPed8kNl7SgK5as47Hk+QxsijML2tAUYW8I8wzLh6HavlEBMSpM8R4/gFqzhL7rBYVARWBuxeBG8J5oQ/CjU0JeJNgTnUvGfusw4PbG5WYZAlxGh4dQ6R/QNG6M9yZiuOY3B+noE2VxJLvMumKV3iqxMgStSQamnHQN84puZkXLpQc0BL3urSEFghF5FhMJu6FkzGa43Xk2M7Ps1NwS45otSwLBPhepNZJSn7vhUYtHUc5tPT9kN+jDKu7mc5GjqrlVgRkAW2hWaIkNw1tvcO3nlZ/VxFQEbiLEPiYcJ7xzDDXriupoaZm0oUOCX3nlcuX8Narh+jJTecuMnjJat1Fzfns2bP4jd/5GtaRflG0V0mOIbHGWgrVebKBRZNu3J8MjcQpm3SIhpigYkGSChmF3qhFZJ6eZlqyj9npBKYoTTHGWf8b9clTWJFoXcnCHNPmJIGFmgt4AZLP6EOc+yQCwMDxFbawqEZH4hpaWTjuCfonhOi5L2aWGKk+zRQ0kujBQF8IDcP4DOR7lxIK+ml1UTVoBYwl/8jfYpB0tH2Mc9YSZ7WoCKgI3L0ILApnMYN5Z/348Q9fxMYtjWjc2KAI2Vu7Jtrrw/sfIgd2NpqaW5gxyojHnziAgG8O80EGOrMIm9fs2CCOvfEWxl152P/QfpSkM4UkLW2i1cbETE3vb2GHkrST8z4vei/PIHdtPmw0Sct1cxOj6G6jQ9CGImh8Yzj0ndcwwuxSJlMp9h58EPlOC2Nf9YhT047QVG40GrnHHUNoXhzQjPxdC8lkFdNwkUDBP3iuB/oCNxcS9NxOrQBu7Zz6+51FQLzumWXqxIuvonlyBqsfPIDK2AReePcoZjnoWUUbSGhjYzicE2ncAjna2outGzbi2sQggs3XceU684dzwbfj4edQnmtTHcNuGS15rW0WI2pLs3Ctb+SWs+qvKgIqAncTAovCWRod4z6wxV1AwUkN+cJl1K6u49GbjcLKvhb3g+1uNz2r02BgqkjqpUznSIGrxKPSDSw4g7Mkjyho3IWi6BCarp5AkE5cHdcHUNRQg8K0PEyNz6Cz9QKdv3KxpsiAQ393DPv+6Fn4u85h1uZGY1Uprp8aR+GmEoQnPZgbycMjv9+I0SsX8cHRTjyzw4zXf3YGGRv3oDYnjAtnPsRUtAR7D2xH7PpxvH+4F3UHHkFmdABXrpzEhz9uw7rPfRXPHawlBWRKo76bhurub6uWgcrXTjEe3VyCXdvKcK33BGKTDtgtq7H70WKcOXwZF6/Y4XTEUOHkgq1jCFWlHsx0XMPYOR9q9+yFNdyPs4c7Uf7rDRLUe/eDcgd6IPvOqp/FHQBWrVJF4FNE4CbhLIJXSAxqV6/G2y+/jJoapuyjpiKJMBYLr0nQk7v21ddR3fIjnPrTXERN2ZThSQcUMVv6JidJzZhL7bsO+lgtYvOTePPvfor0rY0Ijs5i0OtHYCKGQCczUtXPI2TJpPPWKqSRO1mT5UDPiWH0a90w2SQmSviXtZgcb8bbhxi3zLSSD+1vxIWXyB4WNWH48ilo0m18ZhqyM2NoP95GcosxVK4uw8AFxtJOD8JYUINtGyRMh57b/5p5fbGT6pfbjoCYQ2IBjA/EsPGZtchxMmXnypVoeecozp0/hf65C4hnVuHRmpWYu9qFYYsTDRVpZJnrhEVHj3zHKVw48QE0FobW1T4CPdXEpQkzbnt71QpVBFQEVAQ+QwRu2pgScy+Nwbh47iLWN9QjLY3pG5cKZjbUSGFtmfFg9scv4/+4qMcPzrZi0HM0qTXzvNRhplD1B69hYpo5nyfacfHaVe4XVjFcqg75Bj+6+6OoWF+FvNWZiPeMID6RQJo7G9rwFPyBCVJ8UnhLdiwlZiZBjT7BNHlrsG1LAwKjfqRnWOAbDTLzVBRZ9PY1aWxkmqpBRU4mNNMBRIKZqKgphysaYFh2HopL6lCQlYc0em6r5TNCQAwwjHO32MaYKGUC4XkPmlpOwBs0oGrVFqyqZJTATARZdGYKZPv5Tk0jv6YCAz0DMFXboYtnoIHpJvdt3IzckSnM801NLgc/o/6oj1URUBFQEbiDCCxqzjJ3Ghjqog15kUfGrtq6Wni4B50qolVHKQy721uxtrYGl/7m7xDtDaDWSieUER3Gxr+VNICLcKZpvKTSjR99+xvQ2iNYv/MhpOfOKHvClvR8ZPlYV8yDTu8QGY0KYU23Y8beRTISG/ontciutzPmNU6mMBe0rE9jMKOgsgz1W9bBEqXJ/PgFbHliA/zHm5GW7YZDF8DpD3+MqzUNeOjAA4i3vY1D32tHya49yB+dJruZBtb8AOsfQUVVWqpL6uenigA9tcmNXrV5LX76yqs4fTSIzFXM5ZyZzbj4TKzfTUa3Qz9CU/sgsrlvOjRnRoYriyF0caTZ0hDMmMfZU+/BYcvG2g07oZNcz59q+9WHqQioCKgIfHoI3BDONPdabVZ87gsHFY15mtorp9ObtBPZU7ZYbfjGt/9Zccaykfmrndu3F+hR7Q8E4HAI3WecQlyD1Vt2I6e0CnGjE7luxkEX0lGL9JpnW7zIqannAsCMxx6wIaK1I5OLgcJKmpypWdXPeZGgo5hTck/GdaTpjMGSW4jGx+k4NjOHkjUPI6cyACPb+kB6OYwZafC19GP9toOo2laONLsFsYYDeLLUh7SsDGjqCikUaCAo3Yn8AHu06MH96YGsPimJgMSnu/KqmVo0EzPM9Z2VnUPzdESJWQ/4E9i69zmEIsztbSxEQRXpPunJvffhp6CnUHc/8zDyPV7yyFqpXWeo46i+VCoCKgL3NAKLwjnVS0nnGBCPZx5YajZMeTg/8fSzyqQ6PDSkmLKFuERyQGfnZGNFVfVCHugExOcqO6+Idm4R1iQG4b5xIk7hu241OZQtyvm0rEI+g+d5sYksUOJ8ZqZ5W0NtWSGbELZQ2SPmooAO4Mp3IR8xUTCLw0s6aT1p+4aprgJZSnpIbmtSmIu3dlZelpL7mdydSn2AGXY746/VPefUUH8mnzFaX2zODBLX0LeepCNxLpw4tMqijs4FMDE1ZIL+C8zorIyxiWxxsuDTmhzIK3TJS6DGrn8mI6c+VEVAReDTROAm4Symaz2FmQjiW/eapVFy/OrVKzRJM5lUcRllJoUopWVmlhvV1XTkmfMp1yhindeKGXyRqEixQTKBAeOVFQIKSn5hhEoJfXmexDaLYJZLZWGwKEjlmHK/0ohFT1TxLpeiYViWUIWmtseT2nvSiU3qSd5Lbu9UHcpdvE+clPgjOaB/Xp8XLv03P6SqVP3SD6lTmM2UY/wu7ZPvYn2Q50obU/0TJ7oUo5Oyz67UJUQwXNDwOrmbtSdx4b1yreCVel6qccl6b+lk6uQy+RTiGilCdiN2GXF6kIWWMhb8TCz0T3kv2BXptdIjYhnlj1pUBFQEVATuBwQWhTPnREUDvt5+HSVlJSSGMFPw3vDSlslTBMJ7b72OVVVZMKfTdYze0pcuX0b/iAZPPXMQa9ato8CQqVQ4uUUAUZPlPSKQRGEVEcMTyR85SSGTFGLJ54TnA0mWL57T0sRtIvEEb006hvE+ZQJXRkVqSgo3JXxLfuNzUueTAoCTOusRzV4erhGhcItAlMxZslAIMCMS1W2YzSYl/lqpXalPBKkIXblfNH9p1w2hK/HcUifPSlcUvDQ8loiGMReMKNsEGsbrinSROsWhPRqdZzw4M2+ZGactfOOsk8sY+OcYI06yFZuN3vEKp7mcY3ia4Ki0QeDis5l4JOiPMZ0mNUpiIDVLG+UhUpfsr6eEvhxdVoVYBUkgAy6m4lzUGRibrud3BR1JjMKOxomdn9il8Em+T8uqF2pjVARUBFQE7jgCS4SzBgF/AB8cOYU1a2bQuKlBIQkR4ZUqIgDT09Px+YNVuNrmwA/fXgE7tVe75qd45/Uw6hiCpaNJeXroNDyGEuSEx/Bm0wQO7tuOs90dqC+vgzEwx9hoG/w9fRgcCKOE+8Q2kokk4mF0Nb2Pw++2IMowmsZHH8eOmkLM+ULUti2KRiXMUFpmm0pEgpSlZJkiC1k0SmpHJtQw0X+36f1+lO+tgSkxhxgTSmt8Hlw+Ooa1T65lIgw6t+lNdECThQJN8Qzv6hgcx8z5VjR7JpBVUIu9j+6CjSxV81TQrFajErsdIVe4kdm1grzfQkclP7Ngyb67yPrArBd6hw3Bnl60t8Ww4YkaRKZGceXN99HiDSO3fgv2ba+Gp+UqxhM5qCnT4+1/eQnjhhjs2auw7+HNyHRocemFN3FmeEjZx1+1dgtc2fMoya7GsQ/fxooNBxjP24+gsQB1TBRy7shHON85itV0dtu0Mo9CLkm6wqUB+q93wOguRQH385ebgBYrQDw8g1PvHcKFc+NwVVVgZVE2xmf1ePzpTbj0ylswZFVh4upZDMZDsOeswo71ZRhv8aN2f6USOpV6D9VPFQEVARWBex2BReEsHRUTqjk9F3lFRTh/+jw2bG5UaDhv1l4S8M0G8PUfluO7Z87jYH0Ef/0H1fiXl+nYQ6Gm456hFg6MtUzDmD4L+OYxOcrcvL0+zJku4tz7zbCs2Y5Vmgl88M4JmEZW4oF9u1BBgVK9fg987RQsxZVYX5ON68dfx8UOJkLYvwPGvqtoHuzHbMAPp5UmTlc9dtbm49yxdxn7XIJtO9bA0+dB5uAIus6ewLTehkqnAUde74BrpRZD5y/Bl7UGex+sh5OMYUNnLwLuCoRGjVj/wD6UleXAHJ/EqddfQWewFLseqsfg6cMUinmM1fZj2DMEvVWHEB3lyrc+gzXMM3z02EfQUxjmzI/g3WNR1D1Wi9BQL3p8emzbvwnjXT4Kcz8mZkmkwetnvblIMMf1ns+vxMWPOjAy5kdOmg0zvXGs2bkP5vAAWvq8qKDAsicmEfPFMT0+DuPoJJxrixUK1KLyetgzbTjbNYL1KwsxP9mBns4AfOxvSa4WgxcvIefhHaQ6TZr8l8sLrJjnjS5s3fMY5q+dx0ou2BJtLejsGIF3bgZTXX7YgrOI+rPxwNM1aDnXjf7uMfi6SelK00Bqu2O59Edth4qAioCKwJ1EQGyKN5UYTbgZmVmYnfGS/5gGR8VkeuMSnuYerw5PPHQcn9vxEb70jJ2p/QpoTqX2y8tkErY5KOiioxjRpGFdlRHdo32wMY3ktTdOYYyabm/zOUz6gJqGbdhRnUNB3o8YVVGj2QaH00mKzTToZidw4p02hDRTaL3chOGLk6hZswuZUw5UrXkUrpEIhlrHmEKwEdurCzBydpCZjpiykp7emaU2TLZOYDqYgS07NmLqfBN6PAGMdF7A0Dg1d2rZ7ZMWZOXk0JQ/jBNH3sH1wSF4ro1Rq2/A9roMDJ5vx9ygEzUrCuDv1pBGcgviQznYsWUPps6NIUE+6OxyG7qPDlDIV2HLxjVsSwJ2Zscq31iAMx+dFaAQnu7GmaaLOHX2FDrGZonrNbz75nuI0bM9P9dOiwEB1k7j3PHDOH21GcbsdOQwW9OQdxqFVSvIttYOryEdmTR3i7WgqCoD3v4xuMi2RbDhyixD14mjmKZALy0qQNgxzXSfYuK/MWbL5hu1Z4vNCSfH2Gm30xJhQybTRI4PTMDidJM/nfmdp69x6+RdzDMDWmGBk1msDPSD0C+Yv5dNT9SGqAioCKgI3FEEbhLOIngjAR+azl/Ezp2b6VVNr2juYy4tsrc66dNBn8Gwq6dWI27PwOkOg8iJpEDgp8lhx7TRg1HPLPIqatDXSu2VbE8GvYbbjToUWLNhYT06mql91IQTDMkSWSIm9AjJR8KkHxRtyWii166RAol0nrpEupJgw23IY/xrOpxzvIN74tHIHObC9Aa3CM92DJ7eLvT3TiKuZz0M04kzCYeGz9XyJ8eaBZfRpOzUGriIiDPdpNFQisee+yI2Mr2kViepKufgC5IAhfu/Rh331rk3bNZnwuVwIcdEIhMrY7B9MQw2NWF8JsTr/Mw3zXYwu5Yg5ZkYZmIGKx7ctQmJ0SZc7xlFYcVqNJTlY7Cvi3HZG/Dcl77MvNibkEb+b8UxKpaGxm17sLdxC3KnSK9RZsaV9i7kVpSRo5z1O5l2k/2LhuZwsWsYucyrnTnXjxlvkHu4Xi4IHAjbY0oyCA33qVN770vHbbl8F8zDxDcqY0dyGQvtLB3sa8TAEDjuxWdmr8czXyA+T2yDm5wxXs8kRkeGMT49q4zbcumH2g4VARUBFYE7icCiWVtM15JFKs9txZq6SoYi5WJ2LvCxZ4vXsctGRq85ysaEaMsJxqGKRzH3phU5TsckxqVWkliiP5HHeGUKtYpcpFnS4H58J6bfPgl7rgvZxVkYGjqD9tF07NlfAg1t4nEuFdwVzO3LvVVDuhvbH16HM1cHmBAhi/UbYDHrkF2XCwtpPnNWU0uMTOISTaRT9vXYvWs9Ak2TsBcw9npoABmrnSiqdmKiYxJ5NesRJkVkgJqay2Hk7qwOVQURjIxMIH9tOdwkQdHRIcxdUwRD92W09hdj1956zFlpmmfYV/6qTBgsVuSuzKBp24qCumw43SZMX5xB2Z5c9s/FvfFB+Ci0MzOyMHD6HbzbHMPKlRtQUGChhr0ClriXnNBN0KzKgp11Cl6yh69lLHd2rQknzrxLrbIQO/fuQ7bdg6KCHHJOpyG32I1ohsQD022MFovpwXacaZvExo07gKkZDAf6UbVpPzyBCLq4j2+YL4BNkjwtR9pp9iGhMSCfY2c2ckRz3ShmHPwcHfKcBbQM0OnORSZYh01ENh3GaF3Q2Xrw5s+uw1ZRj6f27OSiThzw1KIioCKgInBvI6D53b/4QeIrB3agMMulaHHigayj1hpm7PLSItqYaNHf/Ic/R56jAzbzQhgTj/tmyZc9W42v/clfKN7CIuilHhHkEmqlY3hWnGFVGjF9U3MS12YJolG0ZV6rXLegoUu2KlHDxQ9NxzokFlY5xosT1LYkbCohddLm7ukcwMSUASs25UFDD+eE2AE4cyt75GyX1M/NSnprS51ynkdYseIVHJlF1+AkKiqrSA2ZTFUpTkuK1iltkluUZ/I7PaDlmUs/WTH7RG9q9k0xG/DBksNaTP5aPlPSVeoMXPuwX2Lq5xkuYth2CT+7Jd2hlpYDqUseql14lvRZjkl90nbFgsE+8TQNBsRXwZT3sF4dr9VSaPV2dsGUWYxsB60Iy1iCSX8TggGFseAsb8JiogYZohQ+7K843sVITKIMJX+/X4uR491M2tM3Dx/DqupShLkA5ouhwCERBF3DXvzhU9u5MNOTyCWK10+2oK17AH/66weU1Js3+43cryh+vN/ytyRJe8z8W13GfzIfb7h65J5AQOZuP3lFTLTonjx2GMPDw/jiF7/I1LkhppNaUiiTlLClqCIwl5zgV/njNvAF/tJv/RFG6aCkhDBxrgz6fXDTpLsxh1SLItCkEhaJ1xWhm/yepFpMUNCKdiSSI84wppT5dXFilvtEKi/8lUhqSbk+Ffsrx0VAy6cQl7hKC5Fezomd35U65D7+pARsKn5WQqZE8Mpzk82jcKdzUg013tiCYJZ2ihAVYSdFQn2Ur/wQwZx89s2fgoG0R/qsPJO3CgtWXIQohWqCf/QLcLBGCZgiJlLXLUWelQr/Sgkm6bNcqSxIlG/yC3Fjo2QyVpjOFmSVEK+ImC4sr1Qwv3Ur4pbHfea/KuMprVAWSvz4eS1ifxP0xBcslb7fAPPn3aEeVxFQEVARuCcQuEk4i4CR+OYQ931lwl9aRBCNj40x1OklzpPUfkXYUXrs2fc0ikvLEKGAjkQW8gTxnAhm0RZ1vE/qSsbo8pgIXymiBSnC7IawUmKSF04pAkYm59SEnLpsyacIU5HV0m5pnziliaYsLFQpAZW6Pyl4lScr/yj3puq6cfimNolA18uKmtp+VLQ5qtJKtynkRaNNCg3Z914gU5Hr6bwkCrq0QfzWRfQoCxn+Jl2Xtgoy0n8JBZNYZoknX7pAUbBZbJNy9Y3fFEwWflXaf6MTgu2N3xZvWVZfZIyFllNWjLK2iMsCZmH8RAArDG+8Ro4L2BxWBZ9l1Qm1MSoCKgIqAncYgUXhzPkRYQrlY0eOYU3DGnpsZyhCJ/V80ewGBobQevGv6cHsVPajgwETWltWoLSsXBFqiuChdIhH/ZxXZeMzgVk/Y1YlrpnCykThaZSYZmrQETp9UXTDYNbTbCmCjJOw5OflhKwIW9pvtRRe4uAkzkPyfJnQFTM5zwklqMhtEaAJar/z4RC8UxPMZqVFZk4ueb7NiodvjA5hIiTlXmWPV+ykIuDYYQ2Fu5KHms8RU74wmsUjYjJmY1gvYiH0dXfBzPzTWdyLF3N0jJzQOqsBYf80+mlB0OgdzHrFECkRMrx+dLiX0WNx5BbmwULvbWjMJB1hdizWZyLphp8mWgtNlBpNFH09/XCw7jSXgf0SKy+fKQKKfYtRgC1azFODcA98RkMcq8A4PL4AMWDoudkFuyEKz9QsMTLSIYwWGF2MMd82bjcE4Q8xaQlxU4uKgIqAisD9hMAS4ZwkIWm7PkAtToMNm9bBzpAXRYNZQEQEnN1ph4v5k/VGHbzkQhZNp6uzhwIywdCkDE6qZngGzmNYW4nSSB9+dHocv/XMfpxsbcKmuo2Y7uqFNbcAkY5utDZ7ULZvFZ3QnMqE3H2kGR4yZY0OBbHrtx9AYqQfcYsb7gwRcHMYn5xGdpYdE+OzyC8sSrYq5sO1jlbM9fqZ6rIJ1opCbN65Fw5TAv1DHuZw5n60JgIPs1OZXRmY9w7Ts5shTEEP3cozGMrjgpce1t4Q2+/U4vC3zqH+i3tR5I7j6ouvoXVmFjO6bDz09H4Ua0bx4Ycj2H5wC5p+/BYukITEbHOgcvNePLA+H6MXL+PQ80dhXWFhbHQRVjbqkV2yFZOX30CPvh7/H3vvAR/Xdd6J/qf3hkEZ9N5BEuy9UyIlqlr2WrGUeJ1410k2Tpx9iV/6bl7yspvN72WTl7fe7KZ6vbYjF1ldFFUoir2ABUQhAJIgeu+Yiinv/93BgCBFJbJEiu0eCZyZW8495zvnnu987f/tqLbixHAMu2rLMXCqBftPnETcU4bPf24rXPooQtQ8GBlCNDLUh97uCJatoj2ctuS7Xhz+OG8MObE2EcTpF85CXx7AiXeOYHjGgpWPbUD42EVMMO+JnRmnVi4tx8HXjmLb174E/aX3ceS4CV/41V0wyObn4zxHvUalgEoBlQL3AQUWmLP0RSQZozOdKflW4dgHh7F151YYTEYKc9eWRfFq1gvSljEGGz2XT584gXNn38LAcAd+9vk/xIrVa+hVXYLgmQmM5BhQSnSvgd5+eIeIHKZ7D8cOdUJfsxar7X6cOn8YZ/z92PLQLqwscxK1aw7TA71obR5F3jkT+htbMO6tw9aVHpx66zgmoqOYE3Uym1O+6Wfw8PI8jLV3IzSugYeoYkWla7Hi8WqibtnQ+t4PcORcEPmbdyBrvAEdw4DHoMFIdIahOb30RrdjWlOCZ/dsRdubh3CVYV0VOSVov9iEzLGNKGBmyb5ABEXbdsI5SXQwSuB9E2TGGZMYmBhCPORkJqzVsCWG0ErwE6zOYagT7b6Fq7BsZwbeO9pHAJYMTLQNUiTOgpeoZUPtYRQ46I5MenorqvDlsmx8//VT1C7EkOYJo2X/exjzO5G9YSns00cxMOZDYYaDXvHX6H9vz7kEglMh1Cwh6IulEFeG7Fi31YnXTk+jemst0rhJs8VCSKNGZpbALcYZLYFZkglR7u1+q61XKaBSQKXAT0cB6lGvL8KgQ1QvG8mUbYSrlN+pInbcIOOSpyZmcaphGocOd+FKRzPWbHHAnT/C+GRyJ/IRi5MhMNYhDDKKtarKgsuDnTCWZuLiG02YpJf19BV+zhiwaevTeH77EgQ6eugsJSpdwFVQiR3btyHQ0omu2TjCw20YujpFzLE6PMeMWHmarXh27zOInGMsM7n0UCCKWVcRVeazaD3/AQ4fO4mxwRFMdpXjy7/6M/B0X+Z3F9u4Cy6/DZt2fh5rGXq1dffXUB+m1DwTRV59GtG4IhgatWL91j2oKKTnut6OZU9vJ3LVBbS2XaEafgynT7+DQx8cxdtHWukAPoHj77+B85cnsGFbGSFFaYfWUlV96TTpcpR2+wBTG9owHe1BIoM5rF2T6KK638HwIUG7snuZw3pwAFZCpuoTEYZoZcLn0RMRbQB1BTmwFtswHgpT9b9oAFIDcQ9/iuo+NhdGMBxEOCJ/HL/pqzh+6D0cOXWOIWFRONKzEBwdZvw656CDMfT3cH/VpqsUUCmgUuCTUOA6yZmyMwITI7jU3IRdu7bQnkq1taSPVPgD8z0TFevqJHGQj8QxSFzqf/f1b6JjMkoG9wZClHoVj2gyHiNVvdOJCUyM2LB6Yw0OHn4RlSs2IELv6OHpBLIIeemk5N16kUAeURs8udW0PtNhiqrLOBnV+Ngwj9ngngsQSSqP6Fh2TBERK0x7pUVrQJi5o/WM5BK7sZ223OnZCUJburF5z5ex5ekyzA73E/O6G8cPBjBrJxoVpbUoJd94gtCgMbaTqSs1tA9rCKIdHOjCxVPt0DqJ2a2fwNRUlOHD5bClhdB86CxKy2sRTLQSSKUZvkriWW+2obH9DPrGM/DFf/M8ykqsCkRnjPbrRExH6NMlWL6+EENHB6g1t6HzfC+qsyoYn5uG8YlBOD1mbkOoMm+9gOm4GYVu2uVHxglBSrtrwo/ipZm4MjxO0LAAzDkf2jt9kjG+i+6hPV1xnuPYcazFhi+OeRZLLkrX1iCNjNhEyVmntWDy0hXEbdkwisefyp3vojFUm6JSQKXAZ0GBBeYsqmsL1dTLl5Zhw7oVDDUyMTtQiAw3KbmJs1RFdTW++gu/hKN/92dEARsmQzGjOWhBRWCSOaDp0DPviT0X12NZeSUGEj7GWFqxZNMKomHZkfnIw5jedxC2QjdtwT5MMQtVP2Xi2iX5Sixr1tJiZBD32p7dhbSCJdCfOYoZiwMZJXkwWMmY0/So3CBJI7SoXM+FPkI7cW4aBlraoCWDz+OzZqdm6IPlRPmaUhw60o8le1bDMcoEFel2ODYSDMRtgWlrJW3ntAtvqYQtz4mZyDhGGM5UV1mI2NgsncIoyRKVbHVFAQ6ePApb7nKsqM4hVrgTHreVDMSCITMTYJgjmJ4WBiP+Yxo4C7NgbW/FsSPjqKvfisw0L9YtrYOZTk5pDOeqsqaTSdMTmVuRTDqsNb9/DFm5a1Cb48FIF5NB5C/HHgKd9IwPwD+ehqoa9/2j0iaRuG1D+Y4qYqNzK1aSj1Ifs47pLchdScfCs8c454zMbLYGVTsr2O8SAr/oMVfMeHfl3s/idVCfoVJApYBKgbuDAjeAkCRgZiiVeG0LM04x5lRTJcXfRUqQB//ym8BECA35W6m21cOnO0J0rFn8+6//v6ipW6Lcq6NdmoCTCFM6kgDruUgICWaKkvoTVGtGCLAh9mzCk9DZK6yEROnpyS1ikoRECQCH3kTUKIYxhRmmpSP8ZpSqYz3txmya4sksGaMk5nd8fBA6OxmgzcDnJEPAdMxeZSKjn+MGI05HNokL1hr4NMZEaxkeFacEp/xm+4x8Dn24k8ArrI87BYaFkYWaWAexnRP8LaAssvmQmGQ9j+nYjjlqC1IhW0IjAVmxEP1LS2lwjn0MS0Yr9j1OYzR7QzhQECAiCd4ifTQTkS3GbFzhMNsiEKYClkJ6hJlNazSkVRzllLhvqfy+KARioXd+nBoQDnISrIVjaiIimIEaENkgRgQGlUAtos4XJ0MNv8s4P+hFBSG5PTNABSG5PXRVa/14FBAn648JQpIgoyQT5SJ5I2OWR0nsbnFJGez/17fp5MQczhE/ZNGIa39ZCQOy2U0KY05eKwwpWcJkzEohkwvOJpmT/A5Lbt/5IgK6qDylxMhApUSjxAidL4yoUgp5XvJTfvMeiQ/2pudyISe29DxjlgvErklEy2QR1ShLnEww+Zk8kfodopr8Q0XaQxt6QOzoiwuPi4qc0U4fKhIiFphhRo9FJZLqO+YQTjZDOSvIZ37/tf7FItdO6m1u5Nq5CaHq9/4qBGLhhkYp3Cylehym3f0GKt9f3VZ7o1JApYBKgZ+SAgtq7cX3JWEzr2cMcqzr6lW88epPkJHu5cJKwA0y6Elmr9r+0G5U19A2G6KUOs9QNIwnNlEylt8iDf20RcNgY1EAK7HJfDYFK0WaJi/+UBFGdz8VkdDvrx4tGh3uwozUwAgojTIvGM8tceoCqaqj9kA2XIRY47xhPLmB8c3UnMjeSieQqJSk1aJSQKWASoEHgQILzFkk1xC9g996fT9Wrl6O4lKifs2rYIUQIkmPjTJRRHY2dj/1eVzpnaUHsg4nDu7D0GA/snNyCe9pUGgmkJtzwUl64J6l520uaplFSUv1pEBTJnGkqTKmulcSZkSo4tTS8UxHRq8gbc17/wSmehElwIeTzmDTkxMI07bryHDC6qCtmGv4nEjBbJNYMnkrF3h5tCCGqQu4Mgh35T+MdaY+penMCUz4I1i6fDniBCTR27Nh0sYxNjSDeJBmA1cIdkcOhrrbaa7IgospNPtDGuQwLG9xWN9d2UW1USoFVAqoFLgFFFjEnDUIU/Idm55Dby9tuJRWc5kfeLHNU08Vts7iQf+UFfte+y4yXYB/ZgojI6PoaG2BiekUn/nil5hpKYyG98+gN0Jv667DtOkyRzHtv0aibIV6/bBlOzB0oRF9szbU1hdhsvcSRkYJLFJeAlPcAA0du0ITXeiY9mJ9bT7aWs9DO52JUrcDoY7zaGMIcQ1jnGNUqxtgZYpGMmgn2x8zKo5W6gJ+C2bGbahCAND6m1vQ0DSAdNMkmshwrc5pWHNcyDFOoLnxCsLtWliXh+gl70DbyXcQLnwU9c4hdMR9yKskShtt/mpRKaBSQKXA/U6BBeYsHRXpWWOyKSAkB/ftQ0aGl4hVdGhaJI0KFKaETelis3jq6S9jZs5CLaQWwYk+vPnSP7GWBPyjQwjMOvDFrzyJaFczjr7fxNzOOpQ+VoPufS1IX+tC67HDmGAITVgfxBRjk41l/C4OVZSm3XnV8GVWQtN/GYNDXNFNLswR7WustwttH7yDMXMeJhJj8NDDyjA5hDPjVqyt4E4hqwo+F/MCqwv43TdvZXLFQ+hqHsOuvY+iJD2Bw99/Hzqmw5wdG8SAzg+nOw2TRkrNQSdTYw4wnK2aoCRX0d9pRFmNg1Lz3dcttUUqBVQKqBS4HRQg51tUuPiJerm7qxc5OT7mPrZdtyBKgob+nk6M9nUoyufRgAVtl3vQeeyfcOn4d+lMNk4Gn0xoILXGQlMY9dNpjF7PCXo/i9e2ZKOa6hlC59UA7YgBREb8MGtqGA+9DcaxfoxO65DOmGODzQmXOU7v8Kvw5uZAQ7CKwNAI2lpmaIsMQhu0wTw+xZzMWjgJ7XmpPYIC5mVOhXMt6pX69W6igJgiooxlnxpBjN773qwsROht3zcaRGZmGj3jNUgrMuPqeBdsBXn0cPdjyBhm/mx7ynZxN/VGbYtKAZUCKgVuCwWuY86Sack/NoDQ9Bg2blpLNbHE8CbFFfn0eL1MLkEpp+Mw8yf7GfJiQJyq600dB7G6gdmqponaRY8eW4aPccR+fO8fv42/+x9/jS7GtXqzwsxo9So6p2bhZtxyWSnjhanCzvZmKGFSNEKTGdthppRsolGZAU7IJWDH6GgCmV5iadJmbfFloXqpC1riYOf7CuHyhjGsM6EoCxgi8piD3uKLhPzbQjC10k9IAZlHWjOK6tLxzuuv4u/+6i/xwcBlGBxpSNMEEYh54LYxWQqZtz3dTYjVfsbSZ8BCRzE//QlsjHlWx/YT0l69TaWASoF7jgILam0JSbLZrHjkka2orCA2NsOa5hjSJNpIKZLgoqCgEL/x279HtXYQf/PX3yKSWAP6CY95uPEYAmNdCBSWK9CUcWakWrl1BbTnzFi2dB3BQ4gX7S5FuO0SfOtK4StMg5vrcN9UmHbEXGTnZsI4N4WesAklZV5FQpKF2JpTjm1bCmClurv6sXqY6BCWad+DDqq488rIxGMP4amiOOOOEyhhvLXERCe3Esk2q//eXRQQjJpsAtms49ZrcqZckYa5p0Ju3TqkJwwwOvSof9wMB2Ph9+xi8hIXM1NVLaVq28oMVddCr+6uXqmtUSmgUkClwK2nwAJzFq4muMcVVRUE3BBwDcrA84w59ViRniUHscPhRG5eHlpP76d3dAx9+RsQz12H2uoNlJsFhpPe2GYHNm7ZzF/8jzGtUd67fn02r5cY4TgyK5Yimwuz5IHW0AM74p9BURkRwgh5KeATUsQxLCPfxutjcOZ5WE8c5sIqrC/RKjjeRKgG+b6iendJqA3Pq+VupgDnRkKLqiUrFfAYmWNRorElLG6isBPxjePuyTUyRj2BHF8R5xFDrAw5xFPn2N53Md938zipbVMpoFLgTlPgGnOeb4lIyMKEb2TMclorOZElUcHwMJ565HFKxG4yRF6vYQgVb9AmRNpOxjSL7TdE7+/FJbRogY0S3GMhlpcMXkdHtIICZmCS+lI3MT4qBfYhyF5SYqyfa/Z8IT7zPD9W2XKKJnf5J+eWkiBlcTM5L1JR9cKYpUi+bqVwTi3Mk+QR9V+VAioFVArc9xT4EHOenp6BgzmbRfpdXCTOOeAP4i9ffQVvjvXCMTGMb2x5Eo/s2KokcpAldSHGmAAkVqrIxaAt0k+Iscxm+c2LBHAiGCBYyQIHphMaoT4TMTJ12rANAotJCdhAx7RIipnzWp2ZGwAilC14YtPxzGyxwki9qCRRCBLl66cBqRD7OpUAhOAkW5jXEGh5QOKxowIXeYPWYDEt1O+fnAJG4rebSHtJeBFmXL3eSOhOjrnAqc6JtoYOgyHGsJuo2o6RQRsIcSpwNEomKyZhWTRtPnkj1DtVCqgUUClwl1NggTlL4gb/jB8//N6LWL1uJZavWKaot1Pt13NB7bx0Cf9z4jBiq8i5XivDH/7BGwSI0MLnzVIYc3p6Oh3BXIj5x/DGC99Fz+wsssuXY3N9CfZ9+zUMU0J2uErx0GM74bYIpyZuMuEthweaYGXYzFjHWcyaspkQwYpmZrtampfLxBlk0ky/2N9wCY6KUqS5tQgE5+gJPoa33/gOrvQFYXCnY/3OPagtyKDdOUKvcYZ6EV1KVPASBiYS/xyTbMSJRiVY12Dmq4m+AQz1x1G0MhcWXiubg/HuYQTCBmTS7m1iTHeUtvXwvMSeooP6+ckpoGWYXPNbr+JkRycsniysW1+P9tMH0T0YgikrF5X0PYhaMrC6NgdnDx6DK6cInSc/oBNhAPl1m7BlXSVD+BZpVj55U9Q7VQqoFFApcFdT4BpzZjMFoUtHD9k5qhYvnG9CVW2VouJO9oDSC1WMsa4RoPA/wNQySQeyH6CFTl7duk6E/NNKFqt/+yvfQHiMKRCvuLHz59fh6I/Oo4VwjIHhbGz/uVqmejRgZqABszofRmnbrizIwmjvOHT+ccxcbkGPxQJvcAgzCScGJtqZ43cKG764CyNHTuHFg4dRsW4Dtq0tp5BtQ0l5FToPNaLo8zXItEVx+qXvoztWgE3bKghy0oCm9nZmrXIRaWoQdVufhDs8gjMNx2DM34nl9CZvOx6GJz2AV/cfRHb9SsydPIlTQ1n40i+U4sS7rSjashO1hQ5K/6q89qlnsdhJEmH0nPSjbvcORPqvoPHMJGorKtF1rBUVzBAWPt2EVv8w6qqsaHy9GUVr9Ri/6saO59bi6P529DCTVUmGJAtRx+NTj4dagUoBlQJ3NQWuD6Xi+imC4tJVK9DR1kHJMaQ4iUkPBL+6pKwSX3CUA7/5/6Fsbj9+/T/9OvY8/UvY8tRXseXxLypSqtiadVQ1j4204oN330ezPgCHx4iBnnP8/S7OdDPXcsKE/X/7I0wPM2sTQU68Bh/CA33QpNeh2NqF7uEEspm44tj+k0yIMM580GcQNjAPdGUpZshwe4f9fIYVheVLUFlcjbq6GoQvNeF8czeGh9vRcPo8mt9rZ95oLxoP9sPny0fT8au4uL8BRlcJpi60on8swmdTovbH4Mqw4dKbl8CcjSjNdeDsWwcxFfPj5IkTmAwRcvRmBvi7eljvzsYJrGs0NoRTR9/Hsc52oCATZWV1KC+pRk1FGbIoTXudNgx2TcCTkcP84XrOoxbOmwOYJda600YNB7UtalEpoFJApcD9ToEFyVk6KuseNcA4c7KBIVA18HhcmA4k8wVJqJXTYccffeP3sHvD++i52onqnGKcP3Uczp5XMT12hRjYDiaooCo5yjzLvjqsfrgOBW+exux4ELlFK7BqZw3Vyi649RPQZIRh8Hmgi2rgKLThyImLKMteAkPAjz7/BPI9+Ri6Osv8y27kxPQELHFjff0KjB95j9msaJ/WWBVP3zAdy8QJzT8yg+HRELLc9OGOmXi6CjWVPkTbfagrT8fcK11M6ZjJOOn1mBw8htAM7ZeMsw7O9CMUmeS9FpQtK4aPYVlXmvzwM9dwZoyY34yzVdnBrXkNZONmNGZj9eYlME10cxzG4C+XFKVMIRqhFz8TdxJGBpd6e+ggaKUdOo609HJUratGdkYuPIyXj7EOtagUUCmgUuB+p8CC5CwMSM88x9HpYSJ0mVG/ctk8Y77GmiTHs4PJBx7ZsQdWPbMRcCE1mwzYNXQZ2y6fhTYwQ89tZhcy6Znf+SLeeWM/xjTpTIrhxOhII957ez+OvLcPrRebsWTjFkyP9mCaorqZKRK1tAlrTV6kUVqK0Pvbm5uPdQ+VwkRVu8+XDZsrgv1UWx8N2ZCV7ZxHAtPAQrhODRmob1kllta4YWYe58yMNJidTLFApyMDQ63k05LOEK1YP176zl/guM2M3FIvrHYjVepT6J40I385syU5AxicHUX19mp46D+cnplOm3cyz/D9PhE+i/5paPPXmMZx8uB+NLZPIqMwh5sujqGbY0itjcFq5obQgcigEe4sJwwWE3xFZcx4VgMvr1EZ82cxSuozVAqoFLgbKLAgOUtssc1mw7PPP4MMbxrhFWfJeiXp/fVF4k0lNrmvrxfH3nsJw/296Dl9gFmjxhCorBP3bBgz8vDEr30BE9O06dLRx2PT4elfc2CGEq+ezlduj5PPciJIiYkYY/TStmHPnicp2VooOy3Dw4WSjtKEJdufQAaTanjpKGSo3Iv0qVEu4GlwMpOg4rXNDcKKLzJmVi/pBouxfs9TmKand0ZGOnJKY8rxVU9nKpmwVj+dgQs/CmLjmg0oqyqGzUSYyDxxEC9BxsAo7AyYdhBmtHhpBBZ6CGcUENs5M5OZs0iFa/uT64mh/vr4FCARBfVt/ZefQOnoJBmvG75sL2Fdo1j1hXqOAz38N1Yjn1749ZwScTqPKWTnxisuqUg//pPUK1UKqBRQKXDPU2CBOad64nQ64WeIizDlGxmzgJSYyMDkb+Omzei83E5oTQsCe3+TC2kMuwprKMXKMqolU86H18eFlbZqYaQZOYXIVGrklQzTklAaK/P6irpcFmGTkQpNhtFQFmeeKS7OZPIasw35RQ5GUDHSlQw5PcunXLMQTsX69JTSZWMheaOt6ZlUymLf4gAAQABJREFUiwrjJmOW46yYUVrKp1ZrRO1TKxm6Y6SUloyPlnNImFFI5DMBxBDPbidxvcXfKLuoWKlzcVYuXq2WT0EBGWezIx3F7kyOGceAMe0iMqfGUGu8Nh11SiBe8mEpUJpP8Wj1VpUCKgVUCtxTFLi2Gs43W1JFCkO60fFGiXNmLHHjuTMKQERRSQke3rNXcaoSlSTXWvj9YcYb+5WahFnKYpysRxgyma1yhoxUuJ+cU/6Vf8jEhRmzIn5TmKNcKwv4nFSsFOZ7Fia9uPB6pX7lYraB5xckrPnKU1KvVKNjFqsEPc5TZsvkOYZz0baZKmymUqKpi1In1M9bQgGFKSsbuPnxl8lD6VgrSblZUvMu+cn5kDx8S56tVqJSQKWASoF7hQLXmDMXQWHKHQyNys3PoeMOpdpFDEqY9pXLHfir778GuzsfiYEf43d/79/jal+fAv7hS/OgqLA42W9lwY3SyYc2X4KHiBQUI+71XIScj2pLPeOPFTcrPlMYZHIBllVYmLN8yL9J7iqe0tIOicOW/0SKSi3gyQVdsmAJ82c8M68RiTxZJ48v1J/cEKgSmBD3DheaCebo/CUgMAaqsmUsYwypE18FGfME4T0N3EQpsGAy5gSF4X5KLSoFVAqoFHigKLDAnIUJ+v0BvLXvAJYvr8OqtUxcQTV2ihEKVUQdnV+zCgW+FWg7OIJzZxsw8r3vwXr1Cg4sWYY/+J//QCmUXrcT/Xj9O69g3ELQEXcZdqyvxrsvvAK/x0BcboKQ7N0Cj9OAqDBrMu3evtOwZ67AcMth5mouQ32BGRcmE1jLTUIkTBuw3YCr+89DW15ETG+XwsDjsRAuHuiEwaVDOO5AzYZ8hkURkETU1joydCKTCY6zIE4xGIpe6IQeTYrKD9QA302d1dGccPpHr+Ls8CBMVgfWbNoFTc8kAuYrOHGkhfm87ahZUw8/495X7X0Ihv4GnL9oxPYnVkG7oEG5m3qktkWlgEoBlQK3hwILzFmqFxhMS1o2vJlZSjjVitVk0JRwUgxa1M5xhi1FA7OKlKrXG7CU/t6TbVfQbc9EU1MjqqsZczw9S5SwfOz5YhUOvNSIq5eHYIiXExmsFgbaeP39Z9DXZMWsxYbldQUIjWgwMzuC0Ng0pk2TGIskmAPaiSsn3sSplgiWPbkdoYsXcODsKRTWrcSjD6+kZTqG4dY+TAQ60BnMhd3VgzNHu5j1ajPy9KNobGrFGJNpuGzMH53wYe+je5FGJ7B5jfrtoaZa60dTgHMnIchsV7VYtWc3ggNX0NbcA2dfCFXPrsPKLj2mbHlYUWrHyy9fwPimCej6RjF8gSAwT9EkQcvDNTPIRz9GPaNSQKWASoH7gQILoVRKZ6hZjFI97MvLY+jTGGN8JTOVqBtvKDwm9t/g1CTeZBz0yH/5OnY+q8cPv/tfqXamgw+xkseGm3Fg/7vois/AzlSA/b1nceDtt3H6Ujds9iyceG0/V1sbQ58YNsWcvoHJXmiyKpBnH0T3bAxphOE8+tYFhDVjOHfyPKJGJyE6dyBzaggDg8nNgZZSsq9iGZYznrlx/ylMxGbR1tiArjN9DPkqR17CDWfaKmSHLQRBmaGK9Pru3tAr9edtpoBoYqLRIZw4SDCaK5dgSDMp4XsWhtJ5Cf0q8K8OYrD7srIRmBgnfKyFOcQdC5vD29w8tXqVAioFVArcNRS4jluJ1jcW9uPcqQZs3Lia6mQmwFhkd061WuzPw4P96Oy8jDaYsOkhPR5/4gi9uJP2Xska5c2sxZY9j2C7TRhvCNn5y7H9oYewqqKA1QRgo4QUMdP5iyAk9nwnOka7oLM7WIcTI4Fxqrmtin1Zrzci10KwEqrU7URIEaSyZGGCCqrFdWTuNGMqC7iGCTdyzG6YCFjicfuQRUksm/FS6VGCkgTpoHaTfUaqT+rn7aeAzCW9PgtrtuzCrrp6uMenEWKcu6QdnaP5IsKMZzFu+nQ6B6Y72zAwZ1TGXRWZb//YqE9QKaBS4O6iwIJaW1TXEiLltesJpVhAp7A8TM0GrmutXKPRMTI5oUcepetf/Z3/gP/yrW8jFLgAg0aQxMShh1FPhGDUWLrx9kt9yMlajepKNy42nMbbr3dTonWy/iys5gI9HJyBn4uz1eRCvtcFqzMdXvMUXFErQSjysGH3EjS0DiAzNwN2SuDHzh4lslgt1vlstCkHkFXhgy1fg0uXRlG3ZDXRyprhZuxsJrNbJVy0PccJbuLUw1icDgMhRFPq+es6pf74bCjAeaEhuIwrnxjoh96Cy8m49E0rMG0dg5GOX46cdIZUWRjvrEFOnQ8RnQtGItLFTFpmM+O8+mxaqT5FpYBKAZUCdwUFFjFnxqAyTd/TX3iCMceGDzFmaa1IzJ1kkD2xFkSn2vFX3/pvZIjnoB0dR2CGHra0QTM9BvSUWp/8la/QmStGsAmm/KPE+oVvfFXx1hbVsiCRGXhtIW3c9KPmf2Zs2rRHsQdrUIdtubyBNsbSdXuQt4JAJdw0aMuy8NScAI4YuFjTyUtjQtXD1QoRcysF/5obhnKCWVDVrWBhyy4BafzjZ6FHRGva1NUlXiHYHfmHXtnc1K38V09hSUi8tQ3cDDIWvShD0ZDY6suUsZJhq9nFTZXig59kyqqX/R0ZMPWhKgVUCtxBCiww51QbxMYcklCX1IH5T4lTLi4pxTf/LRNccAXVah9VYpc3LK9HiIttLPZryMlN59VUbdPrSqczwmKT0KckuIeeiB964dKKdD0f9yz2bIWJJj80wkD5ZOUq+c7zJpM5WQcRo/RUYYv0u+DUxYVcbtcyPEuYvEGulfvkYKqkvqY+U8fVzztCAXokwGxlbm4ZR5oqUj4NSTY83ySOFWeR8t+N8/CONFp9qEoBlQIqBT5jClzHnGWhNBO6UpJJyMK5uAjDs9MGHSWqU09PL0OTYopT2MbNW8mUCxWGLfbCCO9V4pUpISsSLFWWkopyse1aYpa58l7HRK8xVGGu80+WBZx/SoyzfF/gysnzqXsWrqfNWc8wKqlcHNZS569VOF/vR3wojEKatug5OsZkK/1YqPMjbv4XDksfUvUm+7+on6l7Sf9kDLjQJq6ErslOJXVf6rKf6pN18v9PV8dP9cB//mLpu4S1sUXJP+Jt62U+zNOXuz5FQyNHBJhGGX+eWxhjHleLSgGVAioF7ncKLDBnWcDnwnM4fuQEapmRys1sUIsRuYRxSQzzkQ/exyPbsxmi1If/+Mf/gFPHV+H3+SnZrFLMUFTbU6PDmCZimEZrJuwmE0hQlS11iEOXgEpILLI4cGnpzSUMX8vvChPhmi1gIknHL1moKcnPBqGh1Gxkkg1Zx4XZi1QtjEzgQVNMOzA9ionJWerfLfT4zWA9lPCpiidnUhidPEOpWxg3uZ6o1xO8X/YhOj2vm5fytUqcdJJ5zEwMY2raD43ezgQcXraRdfK5Ep9NZQL7IP0WeyqnCj3O9KxH2i5tkuuEDUWj1CwogCy0e5PhKPHdwqR4XvoXk/7ITGOdY0ODmA3MMV7bhrQ0l7IxkLbp9IzTJp3kOvF6Floqz+URwTsXWqbqkkaJCSLJ4CWWXGidbKc85k6WMDOOjdERLJ7QwenxEls9iPGJGXbKjCwfAV7jAYwMjCPMnOIWuxsuJlqR8VA2Tney4eqzVQqoFFAp8BlSYBFz1iBAeM7zFzoUr1kBIbExrGWxxJsg8/G44kj3BBCJ2/G1r63E+0fJWMjUDLRTzylYyVpEhnvw8rdeRqxYQqVy8NATD0ETm8D4ZBCZLjMO/P0xVDyzHVmWEKZCWmRmuaga9yPgjzJTFONdJ/zwZmSQ40UxM864545ppFXms13DmJiII5eJMHRUcw9398KalgmbVY8YPbwP/M2PMeggo2W+6Kzqddi9rRpTA/2IM02lx2PhM6YwMR6BLydDwQAf6eqB2ZvF+7XwMxvVxYNnMRnJwtpd5VS9mpCYHcbbf/0iJjK4sYgYkb9iMx7aUIaJnl5o7V4yDmbQCtPeTb4eIwPU6iPoujoGD9tkdxgxNTKAIO2sXoKoNP3wHBybKlFamo5Lb52DoaoCJUUG9PXOMnSNyTnI3Gfoofzjv90HAx3oPO5S1DAr1ozfjuW78jDUNQgnE3EYjRpMT40hSuZmQAgR9tWb5kXUP43BsQCyWZegsY0PsW/EsZ5qbEJzJ4E8fob2eBmfO1W4mdAhgkPffgUXyYDtTg+WLV+FvgMH0WOibwLB032165A/24PD5y/CnGlHSdUqOPqDcK2oRFEx451Vn4E7NXrqc1UKqBT4jCmwwJyTzyX4hyuDkvNSnDxyHBu3blQQt1ISsVwTF0Sv/lElsYTFZUJJWTnjjiepDtcjzWNnaBNjWWmDtlsrsPyhOjqZOaGf7sSPX3oJ00YzKurWoe3sWWhqstA12ojuaAFWbCxF94G3EHOXIDJ+CUNk2KVrdyNzvAGtQ1Gkh/OZuEqLhgMfYIY5ppds245cnjt8tBv6ylV4eEstjJQetfFsbNixnMkvhvH+2TEMXzmHcwcY/+ypxcaV6Tj95qsYmnNiyUNPY6mxCW++eAaasi3YXKlhhq130dc9yQwcy1FEBppblQUNPcmNujxs3sWEGYFuHGllnZcmcPLdc5jJXopNlS7GVMdQs9aEtoYgHel6cbZ/COl1q7Gl2I3Gtw/xeXGsWr0aV66eQefkZdSu3YCM6RAs/kk0vncYTb0WFG/ZgE01OZgLROH1LsHqPTWkpx2BxsvwT2nQ2bAfp06Pw7NiLQpifTjXchmj0yOUPI2YidP57ok9GDn6GpoGbajctR6a8wfRNNyFuLcOFTNjON9qwYZ/VQ+6AFBi/Yxn2KLHCa55LOjG6p0blTSizNiJ/kgmNuyph1M3hg/ODsIV0aGiZiPKV/sYo+5Aa/NJhOlYyJ0a/+5g4xf1Q/2qUkClgEqB202BG5gzH8f1L6GlupjSsI1qZIYsK+rThYZwjXS5h9DWk4XT7V+l1BhD80CbogJ/nBLnkloyUjp+jQxcwMG3+2EvrMWGLDvchu14eFcaGo6MYdX23TCHKOmeGYatJIquVgMMwSpKiCVofNmKnV+qYnrHJozHrVi5axUmDjQhHNMhz+xAl34WdoZRnXm1EUOUhvWt5zBJySqbm4LZmct4+8cX0NqfwC/+7q9h5N3X0E7AEiNDvXpdtWTaW/HYczk4+oNmtOqi2P3VX8bIgffR28pY6qxHsG29Hr1D3ECszackSixwqoInxzuw74VzZHxmfPMPv47Of/oeOmfC0AbPYcC+jCp3GyXCOILTc8gucMGrH4A1EYDRmovsWhvaXu1Gl2eacd4rsePpJWh/9zQCcbZ7bBBH374KS50XVxrbsL6mgKrrBHrJxGf29yGjrB5V9GjWzs3i9OutmMiyIdh6nnm03aiq3gn0XUGipALxzh4MnrmIE+92w7osHVfOt8LXbceOZ76GLkroltxsbPW4OZZkzKGFUbwjX8RTPxIZwPEPBuDJ9WH1ulUI+q/inZ80obVvDl/9rW/AduIg3j5zAT3TXlRv2MzNnpHaApOC9T7HbGkx1fh8R8ZOfahKAZUCny0FrmPOsu4Fp0bQfPYMHn54mxKWFAtGkvZUtktHw/Lk1BzeeOsEzJ6HaVnm9SGqtGkTjNBGKCASIt/EKC16M4nPvXsZg6TIFIaJNsbQpziBJvQEA/EnxhFP09MWbSbWdjbyGN88GJviLiAOf/AyVesxzGbbqNKkzy4fIjbasKi4awlS0uxH3wmqjsucGAvokWktgoOJEuSatPTVePyXN6H5/VeIFHYeSzJot50wcTNRCJ/DhobpC2homka40IfcxCW0Ew50PKxFtpMq71k91fIzGBmaxPgAVeUOAoQyN3RW7kY8+/V1OPbKD3DhXBPKcxxw9cWZo7oIPsZmDzR0oKVDj7FQGtKKjTBNWzF5fIThZmE0t/STTtzgMEY7MdmH5vNaTBBUxUP1ssZgR2a+hWkx05CTxg2NpLHkTkjAWtbvroORIu4074/GdfAW2pgHwo5cbyEssxwPCTSKGRmipmW7I9ClO5HBunRmDwq9efB3dSuY4tpZGvejQYyORti3Em4i7mwR84dem4V1W5YiJ9NEVXYUDs9yfPWXtqD98Ku4eOE0ykNW1C7fjOrVmbBY9Gj2j+NyWzPV+B6mIc2DV8wNKoO+swOpPl2lgEqB206BBeYsC56VNmYBINmyaSWMFitmAkHFIUlaIefF6elLX/46ZqZ+Ea2XR9FzcUKxlYrTlYYMR9ZMWYDN6Wlw5o/ivddeU+rZtGE7KtcamW9Zg7L1HjowXUXYnIOV1hDahqPIKPbBYXHDTMlxjrjcl7qGsOnRPbD3TxDi0QLr+nKYsiwY7utF0JqD9bsq4dLaMfXyewQhccIiWYyYBbp0Q57y/FWbqdptaCWYxTpidr+DcbORDNqG8MQYLvW6sPPJLfDx+o7vvgv36t2oyjZgYkyLtGwrXBNdGLoyjvxaH/Q2J0rXM+yLPG7jzk04fbYThVu3YuKNfQjQdp5dVYq+/iYMzBAvelMJNwiNGJ0Ko3bnEhSVWNE1NcwNjh5lBEtJsP1nqPJesmUTPBPT0NNJLit9Fh+cvITMUjeZKDUV2ekweU7hrZc7qbJOx5ola1CWb4fTYcX7+47DketCntWGBP/gLoDWQ6atL4KRIC1Znhl8cPoyacl6rUZuepineiNt58ypHb3YjxA3RaJGvmN8TR6sNSF3lRknTryNRmakWkI1fdmmIu7eYli+cT24c6IPgRmXzp3G1dfiKKysQ/HqDBw9Q0hWajRWPPQkMu1mBWJW5qRaVAqoFFApcL9SQPO1P/1O4l/vZbKIDJcStmKxWCgBh+mZTSlYcUG+vuviIW2k81dX7xgOH7/MxZ7SLddd8Qbesq4MmemE/KRkZ7Vb6ZiVZOqhcIjnxSubOCVKrDMdrEQkZiw012g6aoWIDKUl85zEwKUwF+R8uo4HERePY96k4TMTZF5GE+ukGj3ITQNlMFisFibiCPF+hm+xAQaCWkTpcc4baP+lsxb7YGR/RO08TbjRgW6gYl0u5mZnKbMZGIfNuOhIkCpzidumxE8oURNt5zF6V4sknlDqFBs6G05Vv1IntQMmPlcTn0MwGIaJmxgdPbgjUbYhblRs7xHWKZoECwFYBFo0wmQhjPGi/VoLUc3GqWmQ/mgY+21mO8N0hpN0mhoCrFht9E7mPRLKFp6TfkkIGftqMbJNIUqQcpLu5UqDpQ7GeC+uKxhAQjy72U7ZGCSiCfoN8BmB0F1hsTVarTCRFpw2yjxLaOMcM9KXIVUyrySAT0BwhG5zpBupwt+C9kZ6sG9hiY2+fko+EL+MpFlT9wjeePcD1FYWIUJNFN8upe8SgXC5fwq/+tQmmi841pz3rx2l6eZKD37ny3uVOaZqG24+TWLUUEm0g0STJKl58+vUoyoFbgcFRBvtD0W4xplw9IN30d/fj+eff55+NmFyuEVFXuBgMEhmK1LyRyyBPB4kg8mhh/WXv7hGCeuR0B5ZSANBASOR5TWGwDTDY25S6GPFwsVYKXP0302WGCVvrcWBolUu8mV/8kUh01GK6HtZgoHFdc4RlSx5nCu7IhLO0RFNKXQ8CglDZQnNJu/R0zu4eIWW7WKolVIW309+N380RKeshUIOMke1vVLoCJeqMzhfpxwPBfzJ88q/QdLh2s+Af9E5nlg4lXpELIhZ8l+lkK4S1uW/Kd1oCqCd+/qSok3qc1FdpKWU+Dw9JP78bikRRgSkxvy6NnGzFg4l2z3Hzdrisvj3R8zKxZer31UKqBRQKXDPU+A65iz8WDi5CGeCCHZjEYZ99vQJNJ5nbmVKOlLClIpXrl6LVWvWzDNmHuR1RoHc5FeRrCORiFKnXC9F4nbjrF+ec11ZzAwXndBKmyg5fej6RdcIg9ZTwkoBWszxmbIrThW5f4HRpg7e8CkOSxLHrIbs3ECYW/hTxzEySOwZt0NR2cno9BwzZaZQe8B5wnllYEw7k3vydxLmU09NgAx+lOejojVQi0oBlQIqBe5zCiwwZ2HMIaZ/fOet98hslyO/MJ9S4IKsp0jSwrDP0f73hae2wO3iAku1b1trN77zvRe4diZQv2KF8pmIhtDedA6j/iDXXnoXL62Gi3ZQYe5RqqH9owGY3GaqoZl1iIuwOJIJIAdlR/5HAA2q6aKUxGWhlvST0wOTDKWyMHaYKl+2M0KRX84patCoODtR1Ulpue9iK3pHGQ7FrEbl1VVwM75YvH01CUqtdFLTUW0sCGJyv6jejXx+gveLoClx2tHZIKFLmQCEKS4/FSrXfT5pPmn3ZI6NXLmIq/3DxEUxIq+oDLrAELqHRpNjVlMNE2PZz3dcodrWjsraMkz30yt+guPN2eErqUaBVzKlXdt0fdK2qPepFFApoFLgbqbAIuZMJC6qEwdGZ3HlMtM30t6blZ2lhFSlOiAMWBJW5OZYYScYCTkkkcKyaAssxdvvv4baJUsVhhsaGMCRHzTAuykbJkpFIl33DLViYDyIsoIc7Pvzfaj7+aeRpR3CoN+KiuocjPZeJqKYlhChcQwMTKOoqhrG6Bi/jyDUp0VOfSFGB8+jfziBmmXVjNmdRuPJDjiLq5DHMKPozARO/fAkYjXMQMVwnavDMTy1tw7dDecRtuehpMiF4Z529A1EUVVfS3cwPxoPnoStuAZ56Uzo0d6Ic+80IKitxtNfXU9P6JtI9ilCqJ8/PQXImelbjnM/OobxHDuBWhh2NjWBiy+fQLjMA1OcTHpsDiXBMbQMjMFJ57xBOvCXegdx+H+fgrWuAlvyysiiyeGTRo+fvg3qHSoFVAqoFLhHKLDAnKW9ItnorE7UEzTj8DtvY8fD22E0m69j0HLN0FA/uulRLdKlqCDzCugxbRleUDuLZGNgqFB6OsNh0rKRGO/EOz9+G/ocF4ZGxHZLiMbOVlztOocRfR6zOzOE6dARWEsriQbWiqjbyYXZAO9EI/oT9FYec9KLWYdzbx9HsMADfV4OnO0HcPbiJBKDQex9ZAOcbL9WY4ErLYNqUz8GmO2yv/EEGo41YYrpCWPhbJx/5wMk0tIxEXWh1nwRbW0DCA/QU7gQOH/iLG3pdATT0dlMFcxuz/QVu0TCCLc3E5k5HjjTrXR+MyPNm0EnsSA3aoRZnWN+bxdTh6ZpMTCrRf3mJzDX6ED6w2tRUkCwTwWQ5PY0T61VpYBKAZUCdwsFxNh3XZEkD4ODw8jI8MJJj2uRlm8sMTpohUJBMrMg/HSIEixoxV17/kKRbaL0WJ6ZmWLccoioUIDPswOPrt8GY58GVSs2wDPnx6XLfkpTU5gdmIJFuxRLl5TBo6vHk08+BveVYQRG07Fs5UY4CBgSN1pRXp4Pe2IWJmIztx3rwTQ16/GRQcWRSLzFozE/YS4v4ievNKBkaSnjhHvRN01/39kRzIwE4LVtwRef3gV941VcPa3F1md/FvWGWYz1xFCQtxuP7noUK6rL6LmpmDhv7Lb6+9NSgBMjQS93/+w0Q9z8ijkhpoxZO156+RTyasrhMMUxMTqAmTkDNhA5Lh4JIEgv9QA9tSMpB8FP2w71fpUCKgVUCtzlFLhBcqY38/ggMaEzsHnLeiXEKJkV6FovxO5sJRCEjjZBOaejQ08o7Kfz1fUOZJJ32cgUjlpiVgeZxEESQoit10B1eXCuD3N6FwqLLIhqrchhTO+gbpISeoyIXKfx+r5eOCqq4ekkWIl4GpPzzsWDuGqfxNyQDlM9URSvzcXk5QlkeBgjTW4aCyXgyajFuuc3Y/W5/Th+8ghWl2bBNz0Og9WLTLcD7f3v4cV9ufDUr0EBmnH0pR8iYMhGLXGcp8fpgKSZQe/AEKoj+TAJI/nwvuQaIdRvn4gCkqDDwLABfTyC4MQ4nN5a7HxuE9Y3v4cjDQdRGs7Chu3rUb8xi572Ic4JAcFJKrM/0QPVm1QKqBRQKXAPUmCBOYuELCAkO3esQ11NBRNbMHaXDmGpkCphVGKH1jF4+Scv74eFwB7iviXnZykJWcxMRjHvVW3KyMLShwswNBugxGuCtbgSyzL1sDk1qNtJ1WXcjYguDSV5dvRORZFTmYtMZiQyGgIwm7JgzsjDshWlMJb4oHUR5euhJTC4JdY1nYAiaVi2ugTmRBoZ/FmY8woIXkJGSmjPuj3lBEMJo4TgHXp7H7z5OWTsRsya0uB2mhkDmglPThFWLM8l3hYRt2bOwlZOwBCqzGdnRZ0aRrWBDmUioS1Q5h4c1buxyZxACcbm1uytQVv3IJOsMB1kdj7qHsmGlmhqhbWroLV20RzihdVpYkgZ47V5jyahRcXupTASnER1BLsbB1Ztk0oBlQK3gwILLEiYrwCMLFlWp3hpxySMRQzMC0WAOrTYs/cZNDVdSNqh5TxvtLi12Fa7RLlf0iVqjMyktP0hqqzlfoH1ZGQrkTVEuDaLcVjj4aJLBpifhUJeIuc1bnpoB0xY/+wjSC/0IEEAjjhRrsjJoSFjTRAoZOnKPfTkJhiFeGsjDaseepTHI4q3t4aAJunFXMAZSB3TWBWHMonvrSI6GSE5EJiaxNbnH0dmsYuIllS1w401j+xWvLXnWLeX7Yoz01ZVXYYSwiP0UMutpUCcDoR5S1ahuJ72CBJYQqniErqmjBkRzSpqOa5k2gyXSoWzJZjtK60og+PMY6ozAN9J8a2gc92id1O+L/p5awdNrU2lgEqBO0KBBeYsTxdJRXI4yyJ4PWNOtk1U2naPA9t27mRIErEguZRKEQnaH5impB0i8xQxVtCcaGheXOa13gpGCZmlUhjDtACPQf6tMZiQlk8VNr27lZJSlc9/RsKL6yRoBe2Q1wqX9STCifJ8iZmVEqFdXIrWTAk8j3HZRMpKFrn/Wn3JdslG4Xr1/PzF6sctokCUG6uFMV9cp8S4M3zuZmVhXG928gE6FuUknWSO9PEZItAxZWrq/ROEsCkeFzOTWlQKqBS4PyhwHXOWLvkZmyzqbQEJWVyE6XYOteAf3vkTfGXX76K2eBUXg/lruJv/0ZFvMUY4hK/s/C2yai3MjEsWqAmRpEOUVD/WssHFReJZdQSdkKQT/1LR0o4t+BVR8eDlFyPhMg1cqObIkBc7Dwm4iKSylEboBD6U0pok51DLZ08BA+FUTQLLSmYsoXs6+iUYOT6UnzluzE8dI1wnx1FPTUuY84aB7jAxIkCKwJeGGRP/IBYB1CnMpLZn+TKaf2hSukFUTne6iSVguil40INIL7XPKgXudQosMGeRlAP+AF784ctYvWYl6uqp3p6XPqWTwjbNdOxaW/kQJggcsX//axjo7VPAQ8QZzMUUgIV5bl5FKJHQJN575UX0+meRVVyLzRvWwCq414IVrWP6Px0XZsF65sJr5uIco8QdpsQqDH32Mr2wGW6TSVWmiUw6InCiXIxMVLmHGYJFKBFYzVyEaFueGpygxM6sTQVMBkHv8Oa39uNCfxhLt2xBRb4niVJGcBL/xBTGOmMwMLOV1sFoW6JqZpVlkCkYKOSHlRAqg9nC30kV/Nw8/OW9Prh3W/u13BS1H3wbZy53w+z2Yv3mLRg5/y5zWg8y9agH9Vs2M66Z+S9eeRXtk3qs270Nhv6zOHquldCnOpTUbMDK+gKquK/fON5t/bwd7RGtlp346qV8z5IS8vXbXR03OAZuVqPcDKtFpYBKgXufAouYczLRQNzgJMNjtqimVpRWlZN5JSVM8aT2ufPx5Lqvor2zCe8e/j6ef/ZZZj9y4IUfvIDCgvXYvGw7w14YYjUygr4mLVY8txKnX2nBJV8OAszeZM6qg2WqGY09Fmx9bAPiV1pwvOEc8uvXo64sHQ37Xsfpo4NYuvkh6MKXcPBoD5bs2Ap9TyvOdfVi3a7HYAoN4CeHzyKvehV0TUdwqNWGX/y/n8HE2dO42DaFitXF6DjbzvSKVTi37wPMpDGzUaIL//tv3kWQ69my7XtQU5THeOYhNJ87zoxOK7F5ZTWZxqtoYtrIFUuWIdfnoQH6+sXv3h/qO9wDsYsiiM7DI8jfsgzR4R6cPtACXJ5F8Y6VsM6N4fjhCwjYJtA3oWXYnActDS2wXuqHs7AChSUupvF0LszHO9ybz/zx4mzZ0j2KCXqwLy3JUkxQ4gMi9nnZWL93rhOlOWmUnpNahs+8geoDVQqoFLilFFhgzlKrvOQE0sSyVSvx1ksvobAwDwaqGFOOOCI9h8l833zxNQz29THCiapi3iOmLrE3R+mcJUVLiMyZyatoPD2FDpMB9RN9aDs+iLWPF+Bq+xhsnkycP9WBSluMHt5RXHyzHYb1vbSnaZmz18HY6GG0nLlKqbsAY0wy4WHyibh/Gud5XZamj1J3BEPBSRR6spDjM7PFCbgIN6obIbpUex/qyldh+MxxtFzq5WJP1WhuGsO2KpjRiRK+MYaBjmH0t9CprcCH7vM96DAQlax/FmZ258LJLuQ+nU7mrEogymDe0n9orohNoLWRgC8aemhXFwAtw2g+wzA6mh0yy9cgO9uLSxda0M449+VL12D0yiW0XDyP8VnCwK7bjhzOt9gDaVtl2CLftzLO5ap8zs8bSkff+A1H1J8qBVQK3MsUIDu6VkR1ZiBjPX+2EdXV5fB4JI3ktfPCvCXrlNPpwGOP7cXhw4fwJ//pT3C1uw9lZVWUapIXi/9WWkYFVm3eii1MrxicjMOXuRppRg1DrlZgE0OhtMOjCIRHaDsLYXRkBuMjCWSUb6D0XUn4TT9hNMuwbc8uLPeYaT8eoaMWEaQGmQ1r2xIwIRZwcRBmq6jSc2nDjGNKY0Dl8g3YtKICk13H0XlxmI4zUYKWiDowDUVFy1BdVK1k00qwgfpYMZau2IyKoAVTZMzW7NXYunKp0sYHcu2/Nsy37Zsyv4yZDIVbjy2VFXCOMh+4JRNl5cUY7ppEWroXc3Y76tdsYi7rfPS3HUEg6kQN49LXrVtLXG0n5+OD7SsgTmFSmi5cxG9+84/R3TOg/I6pCUEUOqj/qBS4XyhwneQsiSH8o31wLC1klqkVGJ+mcXYRpxLbsoS69A50Y2ZqnIkoHAzp0GHTwxth9hBDmzZlqUNn1GJi/CIOvTsEO5lgMXM8zw7FYS/MRPDw/8Lf/1Mu1u7eiIHjB9EVoc24LARfqQUXDn4bb47aaYvchMyJ4/gff9yIytJadLcTLSzLCZ9rBG20M1+lbTxtrgAGZwS9rbRRh0pgDIzj4uuHMW1xoSCrFDXbGCt74AjjqU3wZbtwqrGBNm0N+q/Qa9vmY9gXw3hE0meQdFZZNgZp+/z7U37k5m5QnMwW7Unul7G+4/0QTUscIzh1fARufTrD9mqhm7KgfsMGLC124KXD78BVXoCOk43wm90oLylHdKqTyVYOo6vbgnzGpG9at5pz8sHVaujpTNfXO4A/+pO/YkhjG6ao5v6TP/oNJczxjg+w2gCVAioFbhkFFpizqK5tdhue+7kvwJdF/Gky5mRIVfJZ4q19qf88vvfBX2Dv019BuqUAc2RuO3Y/QfAOC14++rfMDhXGz+/6PZgyaZv+Bu3A0yF4fAXwOgzwlTMPlNaItXufQzlTKucVMWFGwV7kDI7Dne5iAg038ZSzsRomZHrTqCfPgbt6Ar7ifCzZnI/h6QiyaQs2MItUrqOUYCIF8JDZuguKeCwKR/EybP8CkcYmQ8guLILTooPZnI6g3qj0Z/tzLmjoYDYX1NAb3UKHbfqUG3TIeHYt8x6P4czVQUyG0/HwmmJo6HCkMudbNseSFZHecRix4eefQMnIBM0lHuTmZSBaG6FZIgR9/nJ84ZESGGhXzs3JZ0azBPJKiqBdU4qcfmpOKDHa6URGb7Bb3LB7qzrRHLg9bvzW7/8G7Ud0kmRoWiCa4LtHmFoGIqhFpYBKgfuDAgvMWboj77YnzY3ZYFj5vvhll9AXtz0DVXkrUJhfiuLsStqZmTOZjExDeM1iX7VEKCk2aCTI9HJLkJVH0y29R6Nk/CYLpSZea2HSgwKazCQdpcHoRFmxmzgjRA3j4uvy5YHwI0mPU4sDxRUEDOF1JpePCxLt4cI09XaUV2Xw+jn+sb1k5HGJlyaDtvOBVdkMueH3ubkoPPmFSCNTkN9OV5rCcIk6qjgVKaEo4kxDBh3TOLD26S9incWNLOrM4/OqQ6GJWm4dBUQJY6WfQIWXyVA4n2RcjHRgEsCRGP/Mbnr7c0zceUXwcjLK2CesHpRWJm2sMn9kDjyoRfHSJg1tDHVcXlN8HRnOXB5a8A257oT6Q6WASoF7kgLXMWfpgTBaLQEOxD64uMiO3evMxi88/LuYnB7DqVNHkeXLR2ZGBvov92JHzeepztYjEJpRbotFmeFJqUPQiyg1zZsKBSs7ZTUU229EDNQsYs8WRi7nlNsoIc3NA4JIrPTiNXkxUEhMwp5kV8HmxvnMxTAWMS7uqSKbiOtLsn+CPKUxWpBbynSEwjDI1NVy+yggYVARzgEpyTG/BniTjK3nPFg8R+R6/sm1D3KREEUbnSsbOvrRNzp9nWZHSNM1NIm1VdwNq0WlgEqB+4IC15gzX3BhyN3dPZQes5REFRKmsbjIIjAxPYzvf/8nOHX2KjxOOx11qvGfG7+JL+Y9j68/T1WbFDJ4vZExl2FCgNJGpmX8cDSF3sU6xPYoqEbK4kzmKsxYAEWEUcpxkVxTWwP5lOemnM2U6pWFmr7jPKlsJggsItIzf8lppR+pxfzGTYZywY3/sKLoopjuG0+rv28dBbQGTjmOlfgOCjCMSM3J8eVvgXjlDxlFGW8dk2QomhmGESVvkDmSRLC7dS26N2oSzVIp02zKhjdEIJbkTE+2Xd6RDTX5NB9ZmBP9GurdvdEztZUqBVQK3IwCC8xZ8Hlnmcbv1Zf2YdXKZVi5doXCPFPMTZhdkOkhX/jRa+gbMmPl+s9joOsS/uz9/wdXfu4yvv2//hZPXP088ouLEB7twivvXsC2px9BoOkA2gaysPOxOqaOJJQEncXGO3oxPEwZl4u0w+ckqlccLccOoGNqCq6cJdj58Hqk2/RUTccYlsUFWbyr+SlqPVFHR8bHMTaWQE5VJhLMiNV14DJcyyvgcSVVpMLgyeUJVKJKwTcb9Dt1TEsQmBOv7IOudi2WpAXx/oEOhut5ceLQYYToyFe3aQey/T04cKwBUYLWpDEG/eE9KzB9uR2vv/MetTQ52LH3cVj0yY3ZnerHnXiunlEUEufc1jtGpDAJV7hWhFEfauqCL81B6Zq4fDcqia5dqn5TKaBS4B6hwAJzlvYqNuG0HDp4uXH21BnmUq6nlMtXX6QcMsf2tja83dCNXbueRYTe2i29TejIPAtfXznmDFH8eN8P8Ou/9H8i6g+h/9BlTOyexsTlAQx36NFua4W3yofxpn7aqmfRfaEXrS3NKGOCjLI8K2b6ndjy9DpcOt+J9tbLaB08D23GUmTE23H4bATLdq6CU6NHfp4NLaeaoDEXw25twDv7j2Hwkh1PlKbh0sFD6I4XYuPWMnQefx8ReyXWradH8IIi/R4ZlfuxmYpEHMXQiQHo3QOYJuZX19Fh2KJkwmkrUL7GhtPnryJK+LbcgnVYtiEd77xxBh0X0zDa1IMNdDyMtp/AweMdeHRrBTdeDx4HEul5TWUu6kt9H5oh4jA3J5C3wpzVolJApcA9T4HrmDPXT3pgx1FQWor333gdy+upPmMoktibRcWdX1iAygIXmrsv4woZ9cUzB7Fz8y44D2Xg6sBVBB3Mv8v/GC2NvNw8TA4OU4J1I81rQu/ZHliL0jF8oQ9GZoaypWeitt4Ci3YOkyNBYnp34sD+Xti9FQo4SdNFDZZXGdF5SIcNWyrRfqIZU8UeaOMmDI37YZ4bRuv0IKrXbmPyxw70XziP5tYBxNMjuHAuimBrDPXPFUJPe7eov9Vy5ykg4+Dx+hBmKNT4SIROg1kMvQuho/kkBiLMUFa3HtauVpw5exDnLoZhr94Cr4nzQ5+JpbXlCLp1GHqlFWFNFWfYg+dRL9oreT+np6bRcenqgumppKxUYczy/qpFpYBKgfuDAjeAkFBIJtLXuVMNWLtuJeES7QpTlq4Kc04nQ/3Vr3wOzlAHOtrP4MkdG/H8Q7+EnKKt5OqF2L1rtyJhx+NzMBrdGGlrxLiWsdBcUIxGpm1k3ucJxkKLd3acUrCZeNairotzx+90V2LX3qfwuSc3I8dlJVhJMdwO5nBOWAl6YoGZntRe3QwOHO1AUTG9fWl7nKPUZWHojY2JEaLhqJJRyqG3wKu1wWIqgsdtY8tVznz3TFWxKZtgmOLGapi5u2l6iM6ZUV2/HU888wR2rC2Gjmk7l6/fjc2rliI6OQ2r28lxHUN3/yh625oQzPIyIIsbrrunU59pS8RkEwpH8N/++3fw/HNfxz9893UMTzL3Nf9TmfNnOhTqw1QK3FYKLEjOYls2mkxwGGIoK/KhuKxYiXVevBmX8KdM4mQ/sXkpXp9h3PNz23HkgzF0Uu1sN5QrNmoRU3VmK7JpDw7EjHASjjFK5unxxvDuobeQ7q2BN8uDsIs2bH8HPb/dyMn1cCPgQk62DzazBv5ZE7z5VpjTM5gA4xBee7EfK556HIWJTnR0G5GVnY5IIApf3hzefetVxHVl2LW6Dpr4OAbDDOPKyYBmekq8iki8xT24rbRUK//nKEBuKtnKvCUcmzTmI55ljHq5DgabFmlWLzIYEie5ue3ZmQyJy2Ve7QqEX/oRBqaBsro0vPz9f0SmnaaPJ7dA8wCqtFOkFdV2ZmY6fuu3fgU/ePEt7HniUZTmpaOlZ1TVEKWIpH6qFLgPKKD52p9+J/Gv925GXoYrKdEybMViNRPc4FoY0uJ+Ctj+1MQkvrXvIC4YDRjqz8Bsx3k8VW3Bv/vSY5RyBfIz6eVNn2wuyKLmpgcuITb9swFKxDaGanGh5jY/kWCscpSe3QQHuWmh17eGEnIgyEXbyTSWrJZHiK2c9MwWKSLIzFd6k4UZeZj1iqkiw3y2hWkJFe/em1aqHrzTFBB/bNkyXfPJ/3CLFC98jqXYUk20o4oqV2e2w8ooAGFQD1ox8B252DOBNGqRbmZzfu1EO2oKMuG2GYjUF8NrR5vReqUHv/Plvcwmp+e79qDqGv75mSKpOCV23swoApVC/zyt1LO3ngKS0MYfisBkNOHoB++iv78fzz//vAIupEjO8uKm/rRkckFeLOVmMqdMZBcRin77md1oIQb3kH0MmVtWoG7JEsSZglHOK0svb2bAzHxvWD/z9NpsDj6HKm15C/hMDS2HeoM8O3VZ6gtvVlZv2hUZTmN1WAlYkWTICR5XrqctWQGusNmVOiUWWsv0k1ZWpYCIyP0LFc/Xr37cUQqIzVQ2dxwYpR2y0UqV1FClVLPKfOS1Rm7AJBTe6WKmMJk73KFJPdfuTNVw935Kb6XdEhEhbb9ZSaaB5ObzI84n36mEEuc85WfqVdJQaKkwXT6gvXcUS4qzbla1euxjUECJ8LjJdcmxI62VsbvJBTykJAbisH7U2N38LvXovU6BVEKoj5w7nDzyXsv5m731Mrf+ucIIYdA+a4TNwhzJIpp+zKI1O7Hhoe1KphxZeMIRYlUrgCILmvKPWdPHvex21ftxn69e92koEKVfgUzSEOdJRLyKf9qSipP/qPs4kc3U5IjEnWL+H3XpZ3lcNh10q+A7ZmCUQozJXj6skRJ+7OD7J2WG6HypjcridtooOS8l85XrUox84TyfsW1pMbLoYzEbEMZ9rei5M5c/hYlfO6x+S1FAAJJIcIkdD9/EXCIhnHZLUhsRvOnYaZQxkTGU85Gb1JF61IP0aaQmQmh3s7l8v9BBtFnSwWlqdm/2fsk7byJ+x2yIgFwUWm8sRp6zz7/3N56T3wrHS3ljC5P9uEWuFfjFD5d/aT/w4TvUI/c/BYyESX3z9GV0MnFJdQHhV3+KufYvUYfroqKNab7Sj4B/ihtGOXJ3FHlp43zNfvaR9Wi6OszNA5j5TTYQ3E2znQK2Igy5gLHL8ub0jEzBYTYtnJONhnhoS5jU42srUE4gkpsVcQiLKOh2194/WRinyazDPH6zxeNm9Txox2Q8RBPx1pkryuZGqLeg3eCP0ekANtUV4OylAWXcZKMjG0BZM2WWzXBhLspyM91tCM0cX5nbH9o8PWBEFQ1CJ3Mm9A8OKlkO78fuy2bu4XX1NNMaFXQ+h0XcVEV7Ihthvq98Z6MEWFpemoUjzT1E16SpVSYbi7yL8m1wYhbPbKqhSeXm4Y+EcwClXoYecdd3KxdMaYRaVAqkKCCOflcGxpHlsXNCVnOCps7cms9x+kGcPt+MDLuGk51M79ZU+6lrkYWqb4JpUacCkJ3yExuqYOQCL1oEsXfKPkJe0sNN3XyWBo+uLieToKmGv2STIQu9SNw/OtRCRvvR6F/ywjuZnjXFWOTll2OiqZDFQmXONx9KGYcZmvEKM914bF2FMgYyJpKaU8buA4K7jE4FYaIk+DkupKIFETuhFFFrDozP4HhrL5nRJDKouXhmc80tn9vKw+6hfzhr8V+/tx92Zv7LYMSNYsa8h9r/LzVVeOzkbBxjU7OwzVnxyKpyAgDZlXda7hU+KibXF4+0cnMXRF1RJjbWFijvclKLJVvuBF45elGxN1sIH32zokjOig2PT0y92De7UD2mUuDTUsBA5mTiLjE53z5tbdffLyhyGp0e1vQsZgEVR8S7o8gCb8Gs8uKKxCx/whBaW9pw+GQTvvyzn1OYtry0wpyFgcv5F154BWUVJVi5vE65Rxi6QreP6Jb0VxaNG0vq3b7xuPo7SQGhj4yRkVCy8inltdfegc5ixyM71ylqSTHDCP2NnFdBbpD+/h9/gOee+xzcLgcdUXWK2UBUnDK3lTpuMg7Jpz0o/3JzTB8ga5oPFkqM99vGUKZJ2BSmvxR9prhbkzkg76zMjb/7hx/iyWceQ74vTXmXZYOdOt9w6jzzrw/imc/t4Zsuc25+vnzEtEhuAT/ipHpYpcCtpsCtlphT7UsxYzG3KDvXu+gz5TiSZKAaXL7Sja//yu/jXONFxda5WLJIfW9tacf/8et/iKaWy8nIhlRH1c/bQoGEeJqyvPrqO/j9P/gz9A+NKr9T80o+le9cmV8mxPFv/86fYmqG+e4Xlds1txc94t74KoQgne7Gd/FWrQ3XmYCFWTN162//7n/GDwhvLTbmGGmwMHfmJ8bk5BT++I/+HC/8+M2PZfpQmfO9Md3VVt43FJC86Xbmqi7m3llK8t8buyf2aLkmwhzokqtZLZ8NBdJ9PmTwb3GincVPFhOBleYDX1EJAhGJNEktwYuvUr8/aBTQ6w0oJLKmicBaH2XXEIaelZMDoyNNMWkl3/2bv/9CP9UF+kGbRXe4v+LBeTuKmREHolIU9ZL83S1Lpk7axD8pSvv43ZeZhr/48z9ggo9GJU1p0kEsSZXU9y07t+Pp7BwsncfRFvWrWm4fBRSrAqtfTzCjP//z/0jUtVnlYWJuEGc8GTsZASNVmT/3i7+AjetXIstlxjgdxlIlaZpI/XqAPzU6xV8i9T7eb/sXeRVljUkVecfFD+HXf+XnUFFVocDqLn7vU/OimJvt3/z938Sm1bU0VaVC7z56pdKLw4n8CQHVXWCK3Orn7aBAmPm5L3YN4tApAj+INHhtfn+qx0k1MwS4GZzwQ0sAGtNdZHOWF3loMqg4GI3//+29B3xc13kn+p9egBn0MuiFAAECBHsvEiVRonpzJDnWxmUVxy/V+96+3252817i5LdxstnsZl/sOFmtnTjrjWVJlixREsUiiaTYO1gBovdeBhhMwQxm3v87gwEHIChRMkhR1j0SMTP33vPdc797zvn694370Ng9rGyXRuYTqFm2hA5FY8qj2sf0s6IKbOxm3gA6hOWUlKgUPuK9LQ6b0ldadKO7fkHPt3ZFnS7HtbWtUDfvH1FnC566BsfR3s+sgmxpLJlrYja6VkYWyLGURBuG6NjT3DOiNuGK6iXMBeFHx2QAvXQIE89dcdqrb+vn3K5d0Lk976Dv8IPi8SH1xSM2hwotm29u3uGP8JHDkzU96vGzRGuSCiVuoqOrx0+HMJ5YtnKpMnfIOh4i4+a0m9UcEkdYfWIKcll9r3/YrdZk19AYSlzJN7wX7dl0WGF8qEkcIm4+kuqGALUTGgbmw4BIfg+uXYSLLX1oHgzclM1lPjg3OqZjzu5711azxOgdZqkhHV2UAywpzFAb++mr3TNct+K+eV5CnWpKqErl9wstvSQKo1Hpn78V80zisSgnVcVESj6BeZkaXmtgUpIQVWfSxNtY1rR4GctnzKZ6I/x9UY+LPOxKc5DwjuJ4XadCgzB78m6EaIvtsLIgne8hjJP1XVGJkHiW9yIvTJzFJGPbYqZQPd3QdUvm9uft3Qj+ViytJA7F+fPzNvqbG69oU1aWuZQzYG1TX5QZYVelYeEzy/lChthJaJ1EYsjcip2TKA1pkrMgK8VBZu763AdyXvfWodrI5mVl/EoOW45oTcPALcJAAmMCxXNR9rV5Ccwved+o4vHOnMUSqqi8NrlbzV1pMu7gdJICkyRumLMS5bwQA0nzp3D3EXgS+7TEOx9mCFBeegKqSvLYR3ByZ+LlIx7ltp0StaOdc3M+CU9wL8yTeNELoZmLRfXuiHPxEZBrbtXcvm3IWKAbCV6ux9YCAb9DwIi2RNbqR61ZWY/CIM9d0/IIQqw9jJOXvcHK7JbXpe/cRMIsN1Gc4B3y0NowfjUxEJikanbu7var+agL/1Tc62S7+8imriHxJ463LC1WGdMkR76G8htjTXDKOnmY8M4vvdy4p3ZGw8DNYmB21r5ZvWTNkkjP51NiFNWNcISi3taahgENA3cmBsT/ZGjMz/SfIZVO0kc7p0hqUgRElq5krZIUgeJwl52aoNTaU4z9jndcuTOfTBuVhgENAypLJ7nqeCpsbOwamledo6FLw4CGgY/HgNh2wYIvtEJSTXVrZVRJCSgqNB/rOYsadZyMtbIzkyiLylw0YBZW7Rrr8GmasI9/ddoVGgbuCAyI6jsrLek66dn4o50H7ogBaoPQMPD5wgDtxFxUaU4rQhN9CBsTMREUu+Wt86oUCVmR/xgPIGw2v6vjcZ+fLzxqo9Uw8MXFgJiTJRrghcfvhlGqzMWhwhicnKSHZ9S7M+649lXDgIaBG2FACCEl1+xUB56/fyXsvjdwoCGEE/VAcuJN1k6ehhGRTGZxBWQMlIx1cxbpjYYhx8WpRBb0fM5M8/UTei72LbFLz+ekMm8fXi/9Polfyicd13z3jR0TWKGg5AiXJ42O38BQtOiv2FU3+ORFUZteFEc31ecGoOSGMVifBBfzgvuUsOT+Ml9k3qjGFxONo5U39OlarOcvg5uFgCGjFzi/zDgEhmQBm0kiQ4AGJgi52RZzZFMe1L/sQD7mprL+xKP9ybuWo8iVirYrsxl7o7DdaRjmRjOban8MXO20hoEvLAaEWPQy/nVd8QaUF7pgNeTiTG8QRak6lGYnIyQb7yzr0fyoEinbmZQMZ0qaUA4uRT3cI4Nwj0oolYSEye4QTXAgEIQ4iY9ItEU/OZQooeVP6XMjG7NkJ5ohbgoW+7GvPEv0XtzUpu3X8b/lXlHyH638JcRBNfmIDUUOzPyWg+Lgwq2H45UQrpsb1zRcgRXfCEPC4zJdedxkozmThDj1dXcoXMh45JlnxjXdVzZohZjpganhqaHF7hPFdzy+ruEodk38QGLfo3ZBIc6yscb35yGOafYGG+s1/2cUlvSTffijWwyvQHpmNszTmajkaP/IOE0a0SpZ8rhi6lAvhN+jc+bGY1L35tXi0yCwPk2702BIARIp1xidfxEM9nUzvSZNQR+L4yi+rDYr0jJdauZ8GnzcdB+OZ3JiTFU1i5lFiLQAAEAASURBVIVXxfc1Sp3dShfw6w8UwMRwAvLtnGBTfBjhVK9dquMC0esZ9xeMP8jydyYJj2FSfs6HCNV8k7R/ySL/WO0eJ4OeUgL/R4jJKWSaGllNKMRJ9qlnybXhat80DNwyDEjC+p3vXULYNxaNK+a8l/nunZiAKexH1aIMxi7KhigEIEo4rhHV6LCMXDOnTjeidTQbWytWUBqKOm+1tzZgkcsPG2sIy/rjMmHCiwDXxRTTRlq4XiTUKrqXy7FXXj+OvPwM3L25QsVL+lgiMn7dyt0ke5HFauKnDh2dQ3hnTy12UOIvzEvhWuVaZ0INEzNf6Vk4RDr7/azCZLFEiQ/7HmR1nda2ITz3a5sopUUZBGEsokRcpPAoIZbfsv8FuZ5/9vOjKCnNwZYN5RwXHdkmvLwuSkBUP24YQnQtZpbHlJrKYj8XrQEByPOFxZbPJvvQznfPI/upf43ktHQlFbmHh6AP9WJpWbpyfJP9yutlpi714MzbYLUSfxZVtk8I1YXLHThy7Cqe+dImJCXGVUni9Z4Jjxq/jMMutbJl/xMmhdRKPY+MhdfJ+ERCrWXM6tETDXj21zbDkWCCZ1z6R8dqZQIcCYmR966kNzUeeVfzwOL7P3e+DcdPNuHLz26Bw26EVYVzES9CKCOSpEfevgInM4ke5T7s3ncR9uSHkFVYyGdnDWrGvfe0DCHdEuLlLKzCuTk67p5hEsRB0JFAB0GGg83XpHDDgHeKGdGCqMiWmuIyX3n/GSYw2ku9F7X1qz+zQBk54CH/FLqHg1iiYMw6fVM/pEDEaCCMjqFJBWP6yW+qb+wiPgom+Cr8xmxm4YuWpQ34fAi0nOWaTFTZ+Aw3SOYRfSoDOrtHcPrCKB54ejkzfd2kFiw2gE/4KRqycfYR89h8TbGiOor9ek6GUwfPoZOZcLJysrGWxdvp5cJFSjsaJ79naIJZUHRIdtmiXqKcFJLlqe1qPS62MRsMOWRjMoOu2Tc9LZESgVnp0KV0lmwOk0wMzu2HE9CIMFVUAW4snoFRZlPRI6uImVY40frafEgtcHKicmPipuGnZ6qem4aFRDvgC7LqkFSAIbfBBRtdDvM9knZMw8CtxYCeG6DOwDmqSOe1e4nUlEvJuarQquZoTLUrBMZObjy+4LoUo29rAIYHJnmtH5GAF0a7k2uFCUtKk2DVBdXmUN/YgTf3nERyihO60CRe+Mp2RdTkrpP02NZHJpGcbENVeRJee2UvLjS1w0EbVmwLlY1+lJnTtqyuwn33rialHyXxoZSf60BVaQI+/LAWu/Y3Y3ioD//x24/hUl0HDpzowchwN/7THz6HNDqq1J7hk3IvWFLCdRqaUFqDCV8IJhLVXKrjRIvg4+ZsY7KTvJw0tW4jU5NITbWjqiIJP/mnt5klzYjEBDuZ9zAmSBCnggG43WPYvrkMG9avIoMvTLqH69tEwiaxoaLeN5J4Am9HWEiA+8PE2AjshBHk/uHKTERVkQ1BSkQ/fvkIyz5GiavsSZfq6vHoAyuxfdMS4lCP/k6qgrmflBcnI9UaUoTWzPq7P3v1IDN86YgvO85fqsfGtZV4cnuVIopC+ITpMFA6FuJvpSQm4+ltFw3DFGoWZ2Df7g/Q2BFAUpKUC+R9ejrxNTIwjsQEJDhsJOphRSTl+hgs2Ust07C6WkQFG0JlSTIskQkcOHyBDMU4Z5UQaCEMQiopwPB3UooNNdXFOGCc4vOzxK/HzX2YHvqMAEvgsS2L/HDSpHLmcivqL3REJyX7G7h3Vm4rR2VhFudL1GFwinu3vAeBbuE7Ozdowxgz0G0uZcyunvhhPxuZOSMZNGE0QsSxj8UcpEklJnE6jIchFb0ujdowzNKaG0siTGrF5yYMaRazKGd1nBOxUDXOJTKBVh4P06QamB6HCHiN43YyCSFsKI7AbmHsOCednWMwyOQjPNH0TJCRlPmhMEMnSL2OtZNFoOOzCG3oCiSidSxM/Iypqk8yV5KZZrW6yE4m1IQQUpRmQYYXZThkFUfnh8U4CmPQjRNcZ6KdUUzKNIPFyxe86cJ0I/0ITUuUOHMU3sFhnNrTg9xtmWi7cBEBRwrWsa77geP1SC7LR+RiMw7UW/DVb5XgwrFOZC8tR2GyH4cb+2ENTOHKkVEsfyYFIyTU8mb6+sZxlcXH8/MT0N7mxvINK5GOCby/pxnJixejIieCA7UN8Fy0YPtvLoUjOI4zu3uw8uk8HDnUDJ09E2tX5sLb1IhTV/1YtaUcUyPdaO7worKmBGSA1eRdcIxpADUMfAwGRIqSzfb6Rs0PN5sANzKRakUy3HfgLNra+3D/PatIyNKV9CWqUCHYwrjKpi7EWecZgN2Zoua0pOuku5k630jinOlKYarPPPyvH+3E0PBaOJ0O3lrqPEdTfiqpnBtvQ3MPyjckwpFGrdf0ojeRELy3tw5XGhNx75YV3Miim55kMApzDC2tvXAVbmUt7J+SaE5gQFIKLnkYP/wff47BITecjgRFzGQjE2ZAx43aM0FGmQ5wI6N9yKDdnYfILCdgeGQA6eq33COaYStCXMjGPhzJRRHhDnt0cA9dxejAVXS2XeS5STR1AcV5ifjBi6/ilV/sQ25uDqt2fQ0rl2QqRl52SVEhjw10ITNpEfrVZhpWDJCU6RscCeLR5/9vJCQnKdy//e3fxR/9151ISTBjzfJF6p2IlCLEiToImM0s7zfWj8tX2rDtyW8rYaS564f48c8vwKzzk7CvQWNDP/7Dn/0QvX0DePSR+/Hcs/ejII2Eiu9XYAkem9sGcPfj/xap2XloofS662//DN3/9CosehKDfBe+9PhdJGYG1DOD1H/80x+if2AIjz/2ADUQ25GfTuk6BovvYpCpQvcdeZN9+vGTl/RwVf0XdHW18Rn3w7HYg9EDk/huwTeFoqg543EPIiuVDJverqahMyHMMdRh+FgHfr/bDQvnHgeLCRLANw68B/sfPYNilwNHj3eiYNViFDuoJeA8FsJqMIi0r0MCGRd9xIdDxy4if3E56o+ego5Sd8WKJWi/Uo9N65dC5x/Acd4jZ+ViLCLRExhCWA1jUpNYR2IaZOYryZtBQk7iKVoLIXTLawqUMCdqgdB4P2G0I3PFYiwmYzkDYyIKw0YYSXye4GQYHx4+iWEyc3oSaCs5uG2bljGUkHn0ycWOE58jEwbkFCQomiPEuVfZlPSYcA8hgSkzDfroc04y1Wr/WDa+v8eHrt4ujo+aH5lHigHTk1ktwO8+kMyxcm4Tx3dC4xuUJhNFh9z8Mjzy0CbsuGslho4Nwd3vwfjEOM7ubIbbRy7GFMa5D86gvr0HB041oqt7ALkl+XjkvtVYV1mFBzaVI9zjQU9jDz7cVQ/v6DB2vtUAH5F76EQvLh06iyutfTh4sh7tPUOw8iWqzDzRQch7Q9fJDjSdH0DL8Ag3iiF8uPccWru6sP9cK2p31ZIDZ9iI6C+0pmHgDsWAbN6ypnbtPUbJwQSHw05CNk5pxIzL9e04fPwyz86Vu2c/jIkqtcaWbry6rwVTlnwMeJIQti/Giz89pBiD6AYStw64oYh6+Gcv7cQ4Q6kmeiPw8V/n5UEc/fAyJaTZTjHS3zPhw6WGAWq5spCSlou39pzFmQvtHJmVv/Ox+/3TMFHCmWm8nYRxkS6R6Fg4DgP6B8dInKMEX/KDS7aj+M0tSCntuSe2IN3YhiNH34Uv6GWfLtTVnsITW124Z0vNNJOhR+Wa+5GWXYEVq++B21SDs41+7glxz8jNdHaT31RjUx1tsSdAR9W0xZGIP/iDb2NVVbXCefRdRHsJO5VAVfThY83Y/txlHL0yifNXWxUBW7ftbmzZvAqjborq3LiTMvJRvfYhpGaWombtozh01Q63Z/azybu12e0w09zQO8T87hQOLyddQs/yS/jH/T/HB4dquVfpkZJRiOo1O5izuxRLCevgVQvcwuDEPZtIiRNURw935lDTkYi2rh4yR8O43HcRJzvOwe0fE3l69uNP/5JnHCAjdeDYAB726OHo6Yb56DGY+Zly8QLWUix67ScHcfa9Wqq8fTh4pANjzIsRDpM48V+MzxQh1mq1wJrmwj/95RtIev0S7N/4C/zgP/wMtvRc2nE5J4+SAaB29dCRdo5JMtfNhhH7TZmdGpUJHDq1HwcP/pglOFlIRLQBpNpNx+oxQhiHD7dhmHmJYn1i45DfBoYn7iG9+Bv/XrxQ8nf49ZL/jGf6/xw/ff0AmSsbBjub8f3v7SXzy9KeZALkOeKfZS6iRDoWPB04fZq05DK6qU366Z7jGBj3Y9+J4zh8qUGdl/l0p7S4lcdhcbKICjpEsT5I7jIc9sKWFEbPIS8qqheh2hJB65V2TGQkIp21TFuHqW5Jz6B6IgAfOTRRXQhHGfLrkWYtxOZ1VPcMerFtFdVnu4bR6B7BGNU96bQ/dQ7ZYUmgsdswQuRyQvC+EQoEaeVZKA6Mok8S/ncloKHOi6SVCTBQZQJfFpYtKwEZYurp7xQUauPQMDAHA6QC+4/W40RtN7727CZUludRQjGirqGDkkQL7VqDyMxMUhLQnJ4zP4V4d3T0YdRag7+5UomJs36Eh5ah/Mpr+NZXvEgkEYpvQgSfeeIudP/3QRKcx/DzVjKxojpsPokHcnbgkfs3kgjGVIuy1sWW7adzUQH3zFSUL3kQtU0XaJtOoIrThqLiFegfOhN/C/VdbKk2GyUVFrSz2NPh9nKvmKTNmupAcbqZ5Dhstmvbimy4Bm6e3yQeXnzpQxi4hkf6uCkPDmLM41LSozDlYjtNyCjAd//736t9aNhDNXZ3k7rPdYOIOyD7ldhZxYnHTAFQCPDmTcvR0bCBquhuHpAj0SZq4KPUBP7J36dh03PPoDS9FosrqtDSNUD7ewGlxjDGKAFLG2HGsMee+xoe/dKXaaZLw8Fjp685XUXBqb+yZ54/exEXT9UiIeLHEkcZjo7WojdhmEzICN9xFNaTz7+Ax595Hunp6Thw9CT3ydnMWYSMVYoxHbneOuTobSimqrxz1ICqzHXYkO3AgeEOyvzzG/PkXfppNgxGTGjo6kTaxrvRfuYCHA9uQ3CwD2kbNsG+52Vc8jvx1KNLcf7HlzC2OkTJ8tp7ij2SqK2bTpzHczRTrFtUCry/D4Fde9FwXwW2VKXhKgn91nuLUPfPF+FeNYnE9NlM3wwcvvP9h+ux7aFLMFHjsWf3CXz96zsQ8HhQH0rB5vtKcfWfz9P5cRJJWaI+n90kKVb7cD9O3V+HSEX0uUMkAS17+0m4Sac4TzeuLMOEj2aHuHc8G8rsX0J2rWYzxsgY5Gal4beefxpBzzCOnfSqeR+dPbP7fJa/Zt6OeJu3Np/Hiz/qgJELY9kj69F94AwuUn+fvoiqHJMXbUNeFK7Kgr/VjTTaVSzhcSTTrgSqpI1Uj0gzmElkuViM/BTVmaiQxEZipKNE1RYXxs4OMK7LAUtwFEnFVfCHuvDaW2/DSdtB8bIqKr5H0Ey7lm4wGTpet2JtElrHQ8jLSIW3q5/2MlGZzAz7s8Sddm8NA9dhQDbKIFVjlxuH8M1v/R5++Pd/hexsFzWMEQwM9OBbX3sYV6nHzUpPQXO7uINc38SJp4G241d3H0FW7hJKG4cxZQvBkD1J6cWA//G/d+EPfvNpkQVmOovtqoie47mF2fiLn7yIe596jBuXD++cfh//531bkZOdBp/PP3O9fBHCIqpHkRSvXt5DhyNq0IKD2H7vRqp16ewp5+Y0dU/2m6Ld2jsxQtqnRwJ9RPLyXHw+OwnuBIni7M1W1LfiOHr/xnLsPNqCgZ4ePPHIFnR21sPNyj06XVQ1K7ZZ3xSdrDjOMG2+s6XmOQPhTxn/IKtCnau9CsNrP+UeI2pRuspwKzp14igmSwzYsr5aHZM/ZtpK33ybElLWH2Ljgzp07u8jMS/D1S4/7BQMxMQQM1cIPoN8ZxOTtH1TuhKY8m7jm/x2OBw4duBFqrGP4dlHbFhRMYoX/qgITd5B5TMg18dgeYK0kQos9rsOFtX27u46tDg86OtlH0snbfLDvLYZDcYU4iTw0fgQybubvgIkOr4LVzHU3olkMiwDmMLgyy/h6oG3sOkbX42Oha9VHN7mbRyYzzuBjL17SPGpReAcI2rouEhzJZFgpmlDnifALfhGMMRs09XjhidykXZyxhey7dt9FG0dq5GbYYGZ9ECYvEnB6Y3GwT5G2viH9VFmSQHhH2HG5P5JGS5GSnhx9vL8DEvs+rmfgnf6TFKdbaRpwY79bW3w0Q4t7/5Oa4rKiarBkpqG+5+vQd/YJG1cuSijw4X3wZUIN/UiOdOBbGcCckv9SEmyUU3ThURXJtJYDstEBy+EnVj/ONU7NHAvvqcEEaqduXZhS9Bjw8N0ECCjve4hTuSkHKqe2mHOTEeWwwojvSr1K+kMktAOPxdoZXk+9JNjCHJO2NZkorgoBa7kDUjtGELx4jQYCpNgTDTx5Vzjhu80hGrj+WJjQJh4qfm7bX0R9u56RTkSdQ+F8NXnv4yf/Ph7yoa7eV21cvyKEYIoxuLmNDeQcZakK16ahB2/xo0k0MddjNICVd1XmvT48JVmoaeyb85qEx4fnnv6LmqdhvAH38jFuTNnsCxYiMceXAcPbbPzpegVdap4pbpHe5DhWofejhZKvqJBu54wx24mRFEkUnGU0tOBi26wdHISD2kbPGOyobPNGZtsqMKgGKmStOhCcLdewP2M70zivtLvoeMVYQ65PeilLVjU88NuCgIWechr45iNL9modWilPT8xrZQypR3jbgmXEVTpUVyxCVfq9lIijx5TY+Ifq422675JnOunF/OEm85bDjScfxvD9VSXUthYWij9o2xPQ0e/IhCDIx4MjEjd5msPJdeM8R3t+qAW/XRkqt1NaezoVdy9ksQ1i/vXEPESk+j42dDWR1wZaR/3YHD0Wg3o2LjCU36k5j2Nqqq7cbxvJ2p+vRlttMk3tz+JixVPwXPs76ALX9N8zMAmAMGLk6aT5GQz2v7hbWylRiSRDneOv/hv9KAex+WuBmQ8uRZVqR688soB2KsrsUHi8WUfvYZeNZQImaKl2zbjb146ja+0XgZd9PBSWQ2+snUNCakJpY5RvPbyBzBXVmJdUjRcKfYMsU+ZT0dP1iHP0oPOkwnKkas0sx8HD5zGb/yr+1GWMo43XnoPhooKrE6JFRy5hluBI6vBQoYFB/lFFChy+hQZxmkziwhpIY5fbPrzthju55wUDUNObjrMkQD+4gf/E1s2bkQmw4j9AYrlce93TrfP5KcxuiWEYaXdpHplBaoFCXxwUU87kxxUTdMrbHphpZGAixNLelYGvamF+yESeS7CiZrgZDca4+3Zwr1SZUM44lTnYLnK+M/lG5crT2yJ64qGIFixanU6+3DxkqOKWDOwfj3V3ewkY7DQOWRjYb7yDoyk0D7Cm94A758JArWbfvEwIKFUstEGOffna6Jmq6rIp5TL+NyMFWhl+NIeEurFZXnk0MVpLGqjvdaXi4UEJdaENIhH7769R3DywuzkG26q5BYlL+P9JeQn1iP6KWsqPzcD2Vmp+H/++HsqvGj7pvXIykgmsefmwz5z2+DQKHy6Dto3R1CYfRwOqxfNrd3o7OpFYg5FDFnIcU0IgaivRfKZCgXonKNHT9egkspHKV1VluXyUfgs0Y0lridvT0n8zMnDMIe8+PY3nyUxccBLiVBuId7ay7KoNaN2TH4nWSOMGWfYUxwEcQqLBytMek52Ki6c24MDJ7sRMkoYGfce3n90oA/feKiU0nI0JE3A+PwhfP35laj9s1/g1b/aiHuqzThx6DC2lw2ijIx/aCpdaR/Edp6fEqHNupHaBO433Neyc7jHUcqIMQjy/DWV+Xjv8A+Rk5QEc9oS/ODHJ/HyJQ+SV+sx2EDJcJl4PuuUI9koYXn907DyJNwrcQaWjM1I1eVQRxNOcB509zag/8M6uIc9lOpr6D/wIZZOupXUKNdKUziOflVE1kEv9sefXoGf0s9h57E6KGXzhR5Q3oWXfkS//5e/DyfD4EzNA8gqziHh4/sT5MZtpvKmhSkc6mrDlr/5bex+64CiVw89vJVja8NYcQpK169EJHMQ6cWM74/BYIjtTCM82cfXryrGnncW4Wp9kXqfVgpqDzxYrRz2itasxNbUfqRyHDaOScX4zoERCE5ix+bV+H9ffQ7958bUPDTT5v2VZ++hXwNLzhL/qWU5WFPIR6BDspoYccOI4kee6FoTm3Re7iL4I52oZena7IIVtIWPM8dHOnIyctS7unb1Z/+NkQZ6DDHG7QN64M22gswdHFXbYeEutKZh4IuNAZHYhHjlLyq7DhFCVC3UKEXof1FVXUImM4KMDCe5cyuyMlMpSUucLb20SeBFzSqbvZUJJaaMLlWaUIi3harrmiUFePE73+FGF0+eZK/UIYWmpEQ6Xoi3tqh+xeYq9zRJDCcp9je+vJ1qxRVK+s3NIeNLMTuB58V73MoNTpqMMyONnriFJnT3v4Mv7SjC772wgx7fvdh7cDdWlfmxae1KqgEMyhtXJMUEMvCWMGNmQ2PcUEP0nBZGIIUe22KnnkB6UjrjS+m4xk1SrjeR4sbGJdtkOeOe//h3tyocpKeRm2dzJNKzuYTXGj1YUpzIcC11WB6U49bDS2IhzyiSUoqrAOOTxIBI6iS6Rob7lJPh+d2vbaZj2yD05mu7czjoxG88vYVaOY6ZzyBNnjmHxbX/53cN+C//388ZrhZAUeIoHtyxhfea3sjp4RymOS6BMsa2VXRumWk8z73SNA1LYp4fpunv4UfWquM+erlnpAzTTEePdnGi30Rt4apyagoMxIsZ96y5ASyClbCldEpz3/7jLynCs8q0lH48ZAB5P4Oee+7UMBKTGaOd7FS4EIHImZaNAOdO1CtfZoUORfnZeP7H/wb/+PevMyyNTB3H7nTa8dsvPIEM2rAl9/ryFUnUaoaU1Clh7WKOFBuuNGGezJSOxRTgymbkwL0VPEqqQFV2T1+aklrFGWvZSno1x8MQb+0ZGEbOsylG6WThm7/zFc7vKGy+QuUJLaFuBnsialbOGcccGAbCcGWn4zvffiE6F9SEoAM6GUIxkwpuTJwDpPl8XzLhOH6uS/knOHGkZ1JtTg0u/aGUT4LdisyIB3/9r8v5SGUKNzJmYQyUpoS4THcOMNJQsTUKH5/1H4aymWjgfwpZyXYOdPZGMDM4etnpA62wdf5fikALB2syRpEu1wgHGxQEzWnC3YvqRIi+ifF2EUrdotqSJrYGMWmJtC2slZHwBGKIvxUnxR8So6gj0gS2wOJPvhiBF+0v18u9DezLUx89BtVJ1pEs9OgY5L7Csctv4SLlHlxzagy8rXrh6jn5fWYMvEYSTMSjSs/7mwhXNlqFh+nnkTHJ+JSGgecEpGw0oq0RNZ5cz7mq7jMzJv4UXBDcDCwZA69W4yKLpHAvzy544v8qvk/9jsMvT2vtlmGAiXtWOaCr+h3OR04c2fv5PmUjO3bsMprr6YilxJJrAxBCNTXVrd6ZXCmbSH1jH2xZ3HC5EEhuCEJPZxWqHl8/Bwsnu1mp8OTqa02955YBzo0mwgsztMqNK3Qye5V+HyqtIyGJp3dULR1Rtm8V/kMQMvcHmK9AkqW898E5XKBa0pmcyhhq2ty4U+/6gLZbqrOVeYmbn4c26FdePoYrV/sY9+zHy68fg4Fx1Woz40BkXYenmtlHko9Ex3n6Yi/HNkWv5zFcvNiIiHd4elzRuS/PJPP+6Nku9ldTX6FOjkV/XXtW2RBEezY0Mqbgm+jxpRgbju3EqSvobKYzEHFgs9mxvLpQBjTTZDzHz3Xh6JkOai5G+cwevLXrJB1PpXKXHlvvTiX+JDyMHu6vnuCYrrv7DKzYF9kfWtpHFKw33yEsxhdLR7mtEIu1y9bwmyBGgOnQRJ+CK00neCSKmxgc+ZT339Q2DC+TmLy+8zglWQnxiicM0T6y7qWFW3uoem1DB53XcpfKHmHh+KlpZDy8cAN+OucN0UbrzM3Gv/vrP1V95I/gNeD1Y0Q2Gs5TZXSQ+TrdBE/uAOPOGUsesLqouaQHejJNDMSrjviRFqFUa8vLUpoioiva5sAYY5z+FNXuAVs29MKc8r6xOTHdQ8HBNI8y7ziCPj4TnQoJY4KM4LwwTBxAPJoE+DRMud8YnRNFqpZoAvk0GEKU3tsx0ukjjWBNdUrq871pudcUow9kffj9VjV2WY98ernDLWkKPsd8o0bSpGOygGTkMZnARxJn/zgs8mbE2EWKMNjihzEcxZIjnVyMi28rRvTkbuIgRo8/NS95qrfNT7u2GRlO/hCKwn99vSGku2hDngihY5BOYyTgmWkmShK8hhNiiAidYuYcVy7vQ6++zokIkxzwO4cgdi74+I/2sQCzyrh5I5eLjxM/BhI1ujBG7yffuSDAbDjcB9mf3/ny+rsn4cw08550XKPNapAe/64swhHqyBfW2zOpOEZXDsfEWIm2Aaq88pk9iadjLSTj53E9neAK8wicnF1vXxCeACc1bVxZKbTrURqSFiEOx8ZCvA9Vm1zQeVkmzjUu35gPDcc5PhDAEDfGogIepIpNYPEWKMyx0AIURhd/+/hcDgc5bjrtdvdzUfCxsjMt9OIl3gW/WruFGOAEpAPjGMNOuD2q+8jitjMmNGK0oo1OlHM3prmDUddnZ6OolHG43NiEyERIGFPTc9DcMK6IZXQnndtz+rfclnOwem0xiR+TAbllrcVNyvm6cYwGqqHXbK5UcdZtYwTCPrFesVkT/1vGmV6Uh6xSHbolVujj7jF93+Xri8lMzjOuaZP0fMO77pgaUARL6JUr8bhB4kmaJCgxJBTymRmOJAuRh2Njjoch3WX8ZoaJrck2MIvVJH/zSvmfmlJpsWeO/vqYv4RlYUjRGu51g3GwYr10c/z7aAmOnbruU8ZlzSQs7isDvmvjuu7C2AEOVNiAospiJj1xEBcT6tm4e1I7kYw9Z2VT5EUk1NxBYr3U50c+I8cRDFGrk5GFvbXiECdzO9Y9vifn142agmHmvpmF9y/Ew4jvf6PO08cJI0RnwNysbOy/IMxqbByfDMZU2EjnYYNaU9LTwHVqTy5AJ0Nzo6ru+eCRBaLGSQQpyqEoW8LsYmQUwlM068x3+cc8yk2f5loKU31/Dd+ze3IopGdUGYWojrkxcSat4kKzTBHx5KZeOjSF71O9dMVGN3c+0MpDCfjRvQUoyCMLI3OEL7e7cQLf/0cPXvidDEw2eXHwihcmEqqHH05FBglI26kR7Kpn+MRSJzY4pvDe6QnUtUzivkcz8HCNCa1nPNh/1osgF98D25PQc3wEB6jqWbchGetTw/iXl0dgSXPgmXvpsv/uCM5TzffQBieq0oT4R8cw0O7FP/wvDx58MhXLSnR449UR9Ixb8H/8hgN+OqGMt43jrdN+hCodeK7ShMtnRnGOao0tG51YRGItjiNvnRjHGLULT2xJRPNhJlYZY3alogTct9VBpwK+OVrt33/JjVMk9MlUq5Utd6KSz//SnjE4S03USJAhSQqhoDQZGeROj17yM2GLD7pig1JnbSoFmi9NYfuzTC9HAjzc7sM/vz9O2FOopkNQIRfLq/ydWECuODuCSqqY3rvigyPHiJIiesoyq9qRAQb+p1HSYajMbzyexFR+HMCtnFQyab7gbUoWFt/5jEMN35PVSqfGihJl27zRgotHm+yBhIKu5qtKQpRzJoZ6LKmmX8ZNvkCBIe1mX3fs+k/T52bvIbBj9/kkfaTf3CZwBEZvZzv3GlnYhE2Jpqh0sbrHzcBfqLGoe6sR3Dy+py+f9+OTjiuGCzfzP4z09yuYwis5qSmRrUi12Of0z5v50FEgEB5HJN/PFAaFJwr/v9w4KJt4+jvg7o3NFQp8WTnIZm72G6FGwhztzBJnMkZFcJW+2kvuTTrEXtLNIPITXiNscXDyxo5oijh/Epi6IInc8ACGvpOFYXIlRCXe+44bLZ0BFIikJ1IbZ0rfSAhZ4snNfKl+Eu3f3OrEmV/0Y8QTRgYJXz3T+X35CSdOvuFBylNJ+K1HrCSEfqaQIwxmhvGnmvDMN7LQ/cEgM9/44WM2nG+T6u3a7cXYAwzV0hnIl0bQ00vHtSUpeD4SQt055mXdbqdQI1hl6ApTwaWSy2buFKZzY8pPOgQkczaHOKbh/hDqe/R48pkMXHmTRJfqybZOxhqSk00mfR+mVJ/ksuBrjxrx2hF6kVIyyb4rGfcxccrufeNU8VCbMq31MDELzW89m8Twsin8nM/Tk2RASb4Ny9fbkECvSH+fn9mTKN2SsCaSQUl3mlG92k4nOiMcDBO7JBoA1SJ8hgAeeyANJZk6vLXTjQ5K3KVMPbdkuRHHr4aV4F/JtIsVy80MYzMxLMePmopEVFYasOuQD6N0YEm3cmAxkNOQtY9bjQHOKzJHukAnHEZyw7HGtXCjVyHmIclSJaaaZTVFinuPXRvbiGNgFvIzXqoXCe7z0Lh3ai2GAfG51dqCYEA0L2eZ4z6NzmE1azZRYo4yKBaJH7vFTZjM8aFuRS/nu9UnJs6i1gqb/KgL1DIuIQrSRKIndt9rTYcVG1IQvDLKCj06LCPBbfhgCP5c2oayqZZmHOg4KZuOnJKD0mKYGYZON3lgzbLRS5Nw2Kei2IIuSsu9TNW2mKrsw120tfIGFj8dbAoS8cRGFg6oZw5VXu4nMbJRtWUSFXZsGISxhI4LkZYxqieoAs6w46mtBry7LwAziWK+Q4eT7dxMOQbSVIyRoKcVJ8DF5+i+GsS6bdwNCM/TxRzHVFNmJhqwyBbG4UNjKFuTjASxXUSZM95z2tZMO2FqgPihTbqt0w/PuSnklSRgPZ+5/WoAo6SZpVlmnGEVmaO1dFrItmJjhpEqO1FrC0Fl4RBqJJxUPYpElsaxBKnuvErNwwDVpevWOGC4NIFj9V4M0tZUsdTBjT+MC1fG8fP3/Ki4LxOLMtlxxjB07Y1o3249BkSSXlyahtwUxhML0eO8iIh/wgz945eZ73zFtL+O9nDuMAXjVolYoL0trPLJy7KkNy3nX8zspcBxWkhTITBchyLtqAQMnOvXrpP78rcso+l7yXe5ryLE0o/mFJGWpFasqPJiIuj05eoeBjK1UshGnVdHtD8aBn71MCBOcJ0i9DC2Pqra/gj1/QI/vjg2xoqmzAf6kxNnrvIIU3mii+CmkxQFaQu+bhFTOvXS5kr1Pw6+3IuD7RHseNCGcaqF6ZOBRdS1HzgWxEiuEVUchX+cienL+IVSs2c8gvpzw3jnzCTufiBFhaQ4mZ97JxOXT1WTIxCiSZssaTpcdh3VzW68S4JbUEKpObYjydMSlpfjUE6c3IQmGMpAczBCPlaxob1tiX6SebyDGEg34J5FZia1ZxgBC3EkUnSe6KaH4sQkWt0sZsA4ODft33/3s1FYixnzzY0zEpYKOlGU+lkE4FgtXfKNYQzk6FHDjS2bwfbLKpm1iBeZmTEpgWlQO+yMEafKWTxtKyrtoDkdehLfji6qpk/QGzaZ9pJiPd49Ms54QlZ5IQNTTu/au9anYt0jZBY4/gu1Otq1rahcbEYi79fBrEBPPZyCLPskvrdrDJ0jVuQlys4cHZv29/ZiQJy0rpw6zmIVV6jlIGO5cRkeXl1MxlKc9zhv4t6LmWYasctO8T17mAzhp3sb8MRTa9Bz9Di6/dm4a2s+K1+RgeQcinbj31h/UmZxsFQEWiYiAYsUIIQ75sgSJd5yjnmEeY3QYa+7D+/uOYGG1gCcDGV5dMdaFHLtyDkh3tHqc1M4v7sDydUuZKZoeQVu7wzS7nY7MSDOgbEc97fzvjdzL8Pq7U/9ybqqEhaJZyWb+J0jvjfZcl1oGCb3m9wAgtCP6dH+0yAy9xjVv7uYQ+ZfbUpTMY8zmwf7WyltptFZbIhOWEFKhgEfVdoSuE7VuKvQgNauKVStSUSunSEedAZIT2cFE+4So4MknnQIC3DT8rJvXrENmTbmZPXqcd96O68VqUPPOrhUEeeZmIKNqf4cZmyqosPUHMbHQik0mRyCjRK5eFs6Ulkdh9/dw2EmdzejtTWI0pVUC9Mxzds7iV5mjlm30grPYJjOVfSobKRjAMM9lpWZMUCJVNLsRSh5FNCRSzY/ETuMrMLSSMcxH70JHlibCJrCmZ40gGbW+J2gp7k4iTmpns6is1tqMlUZdCappyOaqN3zWcGIIgpaaDf2kqivX5qA8cEAq4OFsX09Q3CoIrc6yTCIOYTPZmIK1bb+AFrpFBbihruIGgYnvSsdGWbkStQ6QzeSJL4gtonLELW2wBiQecBQppSnORfMsOkbWJmN83ZUh6UlfGfp9Fbt9lOblIN1qy0YHvfSKzcAT4imGKm4JqPhuxMv5wami4yYrChgsv/dP6tD+T2FaDlYj/4+J2N4R/DWa+cwaE5GSsSLN986jnOtE7SfJePykVq8fZje0MlpSPaOY/ebR1DX6UFxSQYaDx7CKyda6RtpQ2J4EO+8fgbdXKMF2bSr0Ys1mbmoB85HsOmRamQzrvnDN4+zHjVT8drddNz0oKGjE7/4uwPwZuVjabmTjHd0vIobFUZA+6fh4FdkDogW6TKjEcKWLOTkF3Kux9ShC7xlzANOmO5JH+PimUDGzhzt7a3NGB8fR01NjfID+wSSMwctcc6sWvKl9RY8Vp6nCIBsNBYhBkwvKOrqmcbLs8u5kOlotm6TDesoQSs1MOPvok2Hhx8kYWIcmhCdzDIelf6keFlFQJbBjGVrxYbN4ww6R6URz7CaGyk870vPWCYksafxN20ElRxPpTAWYlyPZzDYN72YY2BMpkjbJkrZBXIf3ianiJ88v4Mp96hL5j/GYfJ+5SS+jJSHbfr8Yw9QYhWYFLmffFRyCrNJ+Ndk1HNUfhavMKJ4DZXuIn6wLwjy0ad4LX+qY6yPa8ulvVtqtPKeGx+wYaN0lPO0Q+c9Kvfgd4FLL8Etm/ncQvjluQmGDunRc/xILdDjqUXTsOV6+gsLjpmDjp6cRDLzois4PKO1W4UB8caWCS34n93kiJ1Zp/JcGfRMccCVZsUpFnOJ0ORRQEI3b5NOOhOKGJPc1zlCpzAnUhgycuztixiMmNFXW8f3nsk89ZSAUyZVXd+Jeh8SUqkN4vsOc82kF9hxevcArmZ3oHsoAXcttrO4RDeDHLrRTy1PJ2FUlKxHXpIFWdkZyGMq0KLcFLTvO4QrLFYTdDegMH8Jmt49DltNNdasqkJ+keN6jdi8D6Ad1DCgYWChMXBzxJnEKcJk7FMJaynZsrwdJWlzvMGcm4uoBuZtpFkzTWxmpMezWvzvqLPcrNMqgDneAYJ0bFaL73NzT0PxcxaEaGgV6eFMm3sPOSF7caxJ/7kw5Jw8X/xYhahKv2mazm+zm5yPPb98nws3Hlb8+ARK7Hr5Hj+W+O9yTmu3AAOMidTx5ZCgzkeghfuWAhBSFtJgyUAiKwq16rKxiuqPG2mnxEPUbE5Ad0MzPVZZz5mmkgCd+6Z4GxfXXmJRMtK8LIbQwDhbFxNybMzA4PlW+M67MeBiRnqPl6F7AWahYg5uSyKTnrBUq94PP2GEqLVxGalxopQg95cMTn6WcZR45EmaSvz8zDTS34Nev/Y8hixlWJHE/NhS63ce/uMW4FMDqWFAw8BcDNwkOWOxcJMLvvy/nttf+61h4AuJAfGxoMWXzCpVFnOaEEA7iWMa46ClGRNSkWNLVAXmJSZZWrzHtGhmjFRr5ZcnwxsyITmHEnaAIVVry+E/2MJ6wUnk8VgFbmwYVuand9LUcbGtB+6wFYW5PGcKMY7TgEKafDJJxPV9J/D9V7xYlLMM9z9agQ/eb0AyKxslMH+ASuLBVJEZhQ6mEqBZZNMidHk98DLBhz4wgtIVyzFEZ45wfpAlYd0oZ6SARqHVK9P+aBi4rRi4SeI8PSYlKdzW8Wk30zBwZ2JAzB9ippjTFNFl9IJraR5yaFMKusdZAN6AxflOdLT30u+BYYD0EPXR76CkMCtKpEmcHTkZWLODBJMqESH7oofS67PwWGYRCbeUVNXhuR3pCDMzlIN261zXBnhWMM1Fkp2EOx1fWZzPdJZMphOeBFMMIDExFRu3FTDJvx2PpTKnt6TepBaHt4KJ5SbXPBL15tQzqcZ9jzGygvZvG30eZHwqi19VvrIyiYOZZBbTmoaBX0UMyNwW8/md2D4ZcZ5nM7oTH0obk4aBW44BoXLzNEnmowpD0GtbWpi5ilfV5HEDYLY5qrmN9LAXj+6o2jta/zhEgur3B+h+QX+BuCZ3MDIBToRqaAYOUEI2kxBPYYIOkOLIQnpL1bePBJcRAZKHlqFRfjIGax/ejLVMxylOkFLwwiAwOC7fjL8HJXduSioki/fQ0x4uvoQSh08gymKihsFNy081udY0DPyqYkC8tWW9SuSRjnkHdJKf/jY1MQ/P0qDNue8nI85zOms/NQxoGLiGAeHCTzOf8ziLQHCpz5yILkCmzmT6IyUTk8nV8fvJ+kF6eNPr3xDAG/vaqXL+JTcGoea8rYpj5leV8W/62MxgtC8aBjQMzGCAcjPcfgtYAA2eYXptM1/57WvirT1BAi1VGa9vGnG+HifaEQ0DnwoDQgdtTCySkz3AoAP5RVpJYilFDmKkWiI1VGEXdTaMifQMFr9Yz/J1BSSqRqYAZUEDRi2IJK0kXkYjiBAuFaVE4R1fIEWB4B+5k5Hx8BEWiYjBNkqpRMKJMLzPxoo8SgvP9Ix+qtONrLtsVs5hYQY/+ChwSzgg4z0pOUvAgeQgtvMaIfIyliCjHeQcB8FnkYCAa+p8ubeJlYqskg2Q2oQgawkHJJnAAjWBLwlR5CGlYIxwH2HCF5zEcHrdrYh0qQY1xYQu0v9mm44PN/f5ZvoKTNbp1ukZFio1A+ZtvIZ2fXXfT3LjeWFpB28LBvheQ4zy6e0Z4O24TiV/6G1qwrRHcxLMf8PbN5L5768d1TDwK4OBCEscOq0ebM7ayXVOVRkXnxAsP1PFGhnOJIvfyJh0JPCfRDcwy1vD0EaMJdzPgi4ZGOrrZd3nPczDXoV1a6sxcKUPqRVZYAQg082OY5LVUVJdZlW3RQISGR3IsockzPze1eSGhcVrWKBJEa3B+m4Y83Jg9bPI/bvvYJjULDmjElvuqkTLoYO43NPHspWpWLP1LsbsG5kVbxjpizMlTB6TnlHs2bsXfiZAyShYhLLUAiSXZMJEr/NBhnNlL2IMowj5vDf/R+O5A9h/iRW3qMIvXrUJaxe71JjkEhmbkGr5FHolwRUMNlRNghHkOZgniJsiiS+/C7xYk9/Sr6+TeY5J/EMTtNeHmeEvJxUOqvTFV15gSR+BK/djAkHFpAwzr35mKfHBkwJHMuRGGY9rARXSV1z2hNQKjKlxP/r6/XAxy5uMTcYt/wS24Lq/pYse7klwldO5j8ekCdzYO/DzXXdeGkBKeSZYJVI9F09r7Q7GgCxRDzVdQyNe2JypXK4yi25PE8I8FWRmshuYyGTua03DgIaBBcKArLNwWK+kTlnn75wI40WWW2y3dCtHq/XuRHz33hykMRkODdKKYDBvGMPbPTj4zikk5Odg6NIJHLY5MbVzP66mJWLFPZvh8nrpr834xUA/Dh9oRfm2bShND2D/m/sw5sxGy7+8h8wnn8OTj5VjyjeOC2cOIQnb4BrtQC9LWK58ugwNpxuw/31KwscGkb19MVLsCfTgZpnKzkacONPENLP3ItNpJd/AammFBag/uhMNHib5GR1G2fObYOiuxZkOPbbnb4SJojjzifG/KSSmpMJXdwGh7AKkkmoGmRSlo78dzsRs9LUwc95iJ9qGWRKx6RKuDLmx6b4HERpqwqETdSiu2YDlldnwD7axlhLJLSvM6WxJ8FuY/nZ4CO6eQZi8jPEer8Mbb5+hk1oE9/7eb6MisRlnW8zYvGM1xtov4OLl88io2ILVlSUYqTuNF797GE9+98sYqz2KUWcVtmwpJ3S+nMAg3n51H4yVd2PtEhuOHT0BB2sw2sau4IODTchNW42NSUnM4X8ZRZvvQpZlCJcutDP3QhYOvP4G2s458I0/fZyFew4xWUIpNq9dhoNH3mO1OhM23bMcdW9fQqFxDBdCPlQuqmb4WtS5b4GmlwZmgTEg0qsqtcrFKoVVbidxFo7wRoRZHlMjzgv8sjVwGgaEaIksFmEOmZ/0DqHu32eh3tbCY0zt+e8m8ZttGcycR9FK1csVVZoeo93dzN6Vj8fuW4b+JhdOnWjGJGvRWlLsaDx5EQHGIUcMo2g8dgg9ASv6SFT8Kcw6Fqbsxyx4hiTC5LUiCQx2XkIXk5N0Np5gKloXRgaaceakGx5DElZnsbqatx8Nl3ys/ZtP6TIfTU1NlEC7cKKhjalGF8OS6MSyPBdOOlfhiae34dL3jiLiH8HF9m7GUntQ27EE64vp4U1pXMLJcouWYnUN6/lSyl5MqTbkc6O1oQdJ4Ta8fLoHzwUqMMR473TGbns6e3F+Vz0so1fhYeaczvFhVMNFtfkE6+4yVrvhKLpSl2FZ5hTayTAklpTB0trHso925OWVUJSlFmKsHQcPHcVESi4OHmXmvzO10JWl4eKRJpQVF8Gc4EBWrgvuyxdpT6TWYbgRjXnpqClLxdV9xxG0O9B3/gKuTNhRf6QLqx9iVrW6fqRmJcE3NYZTb55El0ePrmPHUT41isHJZKbj7YWrKAeRwQSEx5iAiDmBG966jDwyUQ3vtiC8kkV6JgKUhNpx4uQFVKx9XNV4j+oL+Oq1pmHgE2JAND5a0zCgYeAWYEDkygnzOOqNZwg9qi6TBUdaPKuJtG2ymJnsjnWdecZHtbKXNuMUWz523HMXSliwWLymI8w+13HFTaINJNN2PMiqakXr7sfTWzYwVKuCJVtTSSqn0NJwGZ2dXWg9fxntox5kuoqRzBS57e0M3yqmjduejeqVa7C8egls4XE0N11BR9sg6i+cxQQHoKPUt/P9N7Bp60MopnQtsdFjQx1obmlAe0M3GpvqmDo2qgqWBwnRwS3ABCgBjk/Uv8w3ixwEWJDFjTWsJvfBsT6UpCaSFxlS3uV9QyEU3rMUGcwqqKvro82PqXJTC4G2C/BGimDvbEX7oA051jKULa5BAvkPS3IWKhavZRrdGmRYWFim0UsPddbqZZIVm74Sa9dsQ9EwpXzm8zc7U1BcXAr9kIWS+XasZ6GcwDALtZOVGLxixLJ7H8Fy5xTGBiLIzV6P1AQjTBlrsWPrWlaxC6Dt4jD81AwkMVGLLpCFRSWVGGKmtqy8ZSgvWcT7uWGw+qhuH0UgMQXV2xbDPNyPSNMYEw1SBW8oRE6GS5W0F3RoTcPAp8GAJjl/GqxpfTQM3AwGuDMHWaVMUsMyBkpRs0lKmyqOOL4/66k7cwrhSK7Df/5vf4ssZupa/8yXMfAvv8DLP/7fSCimZMo6z+6gBavvL8HZy/1IK83D4oJRHPj593HKthSp5gHU1XcyLWc2TKkr8G//cAWGW8/gnZdbUFaxBtueKoDjtX+kxHmaTEA/zrDiW2KihaVNC0isvoqvlmbgvd170NPjw9jI+3jtRD02jb6I86XlLPFqgoclTx/7+r9HocODt/dcULbdTDqRCTMhbldSYUvHkCxpETqYpRanMn+3m3nq03HmyAhSmCVvzzHapfMcSHL24tJAgMlPJhmhbVXE35SQAHMS841bsuFkreJgDiu/+UZ4jmFjZFxsLEbTcPESkhwRuAMlWL0pndJtEK4slq7t7KEUPwkDK8mI5sDAgG63rxkJNdmo3f0P6DJW4jGWhpWQs9L7LXjnB38FT9Za3F+Tig4W2UlypWF837/g++cSUFqwBqsfLsPJs51ITcuAk/n0Q5MeGILDyM7LxfHDRzB52oy6sUlk1UTg83bh/OgVYCKJpWgJK30NKlZkoK2+Ho4VVdGysgor2h8NA58MA7pv/eVPIr/3a/ehKDuFHpCy1LSmYUDDwMdhQDKEqdXCDGEpxl146QAl1jYTNhR6sCXzRwybmlRE6m/3DuDPr/Swimd0bS1h2s+Xf70EOSycQs8l1A+vx1jGv8HipRX0rvajvq6R2byYPCTdCe8oS4WODMNBO/CHb+xCTs0DjJl2oKWxDSkFhUhhsZrexiaqadOQmcaQELcOKVRtS6lJk3hPs+i4b4ShGrzOyspodDOGx0PpNuhB/8CoKuCSnpGLVEq34g0epkPUFD2jwyE3+mjr9VJyNKawBGYyJXJSPbOdcdb0PB++cBHv7t8PNzGg1ydj645HsMiVQMmYtdMl5SebxFBPsfqbnip3OnDzGQwY6O3EMIvf5JEY6vwetHe5kVUoUn20KlaY14Pwg3SWMwihp6e6jvHbYXqKG8Q2PjpKr3R6Q0/ZlcTfNTTGkqzFVDUwTao4jFG7YGSJWQPtvOPuYRJpqqn7uhG0pdGD3qHiy/mY6KpvhDmzgHXVjUwGMwUbmZSJ/h70UQrPzcyC2RhCe1MrnHl5rPxmVn4B4ilvoie2e4S5z20J6OvuoskhEVlJqRjpacGIPxGlZbkIjQWYEY52d3rbS4y64E1rdy4GxOY8MT5GrVAX7NTO3E6bsziEeYZ7UOhKZ9GndBzavw/dNG89//zzShOlSc537rzRRvY5xAADfUgcmNKT3tpSM/n3H0jE16tJQKb1m45UitBJJEJSrIQE3ECP7WhIBR+WNbuXsuiEkkZ52ppqRzH/SS7sjU88hCQSSjFnl1VXqEpREk6UU16qsCTO3yyHTucWghG6L0Doep0oqUB5jqm7obPaWJGKF+lSkE17szQeVudEtW5MttIbmgcYd1mWfC32UtVXERg8J9c5y0qwibm3AzygY3WuzEwHzIl0t5Lz0l8aH1OImeQt4qUkjCyEk5NPdTcfXa5hOtOlqdnKaV3OMUQcBgfDxQjfLPSMnxEbgahruU3xMyM7kyemz5HJqczMJCHncJnOVO5rZjiZki/YN4UhanLMuahIeWtLdJeEhlF4RkFVuQIjmVQTpFwmPx0uF1J4VJ41wsp0iwTH/C7/Yk3gpWWKBE74i8vUKxUYrqIK5PIiGYuJOJTrTKxkp8k6MczduZ/CO8m8uBObRpzvxLeijelziQEhzN5JG84P3kuCIM5SsvC5UbP0aKx1UcUd7Inu+Hod6397XbA4J8i9e0gkuKtf18S9TE+7qw2T5PAlXIfk6Lqrbt8BjocSsis/f3oUVPtS4h9nKMpnO67bhwHtTr86GBDi7PV4bqvEfLPY04jzzWJKu07DwEdgQAJmDLQV27Kr0RNeryS/G14uwbVsQmYNCZScKV42XG2bPiJntKZhQMPA7cEADRZUdZhsDq7HKNN8e+778XfRiPPH40i7QsPATWFAb2BFqaw8ysyyrOaTgucDI9ZMbgqiP/0sBeL5hqYd0zDwRcEANVK30958M2jViPPNYEm7RsPATWFA0msyBabiwD8FF/4putzUsLSLNAxoGPjcYeDOtIR/7tCoDVjDgIYBDQMaBjQMLBwGNOK8cLjUIGkY0DCgYUDDgIaBBcGARpwXBI0aEA0DGgY0DGgY0DCwcBjQiPPC4VKDpGFAw4CGAQ0DGgYWBAMacV4QNGpANAxoGNAwoGFAw8DCYUAjzguHSw2ShgENAxoGNAxoGFgQDGjEeUHQqAHRMKBhQMOAhgENAwuHAY04LxwuNUgaBjQMaBjQMKBhYEEwoBHnBUGjBkTDgIYBDQMaBjQMLBwGNOK8cLjUIGkY0DCgYUDDgIaBBcGARpwXBI0aEA0DGgY0DGgY0DCwcBjQiPPC4VKDpGFAw4CGAQ0DGgYWBAMacV4QNGpANAxoGNAwoGFAw8DCYUAjzguHSw2ShgENAxoGNAxoGFgQDGjEeUHQqAHRMKBhQMOAhgENAwuHAY16dOgTAAAAGklEQVQ4LxwuNUgaBjQMaBjQMKBhYEEw8P8DuiTHu/2bOsQAAAAASUVORK5CYII=" 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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">7. Now Go to TCode SE01, give the request number and press enter.</span></span></div>
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" /> </span></span></div>
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<span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-size: 10.0pt;">8. Choose the Transport request that needs to be released. Click on the TRUCK icon or press F9. First release the child request and then the parent request. The request is released now.</span></span></div>
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" 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KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-63987062302109435192013-06-26T08:43:00.004-07:002014-12-06T07:19:10.789-08:00How to retain deltas when you change LO extractor in Production system<div dir="ltr" style="text-align: left;" trbidi="on">
<span style="font-size: small;"><span>Requirement may come up to add new fields
to LO cockpit extractor which is up & running in production
environment. This means the extractor is delivering daily deltas from
SAP R/3 to BW system .Since this change is to be done in R/3 Production
system, there is always a risk that daily deltas of LO cockpit extractor
would get disturbed. If the delta mechanism is disturbed (delta queue
is broken) then there no another way than doing re-initialization for
that extractor. However this re-init is not easy in terms of time &
resource. Moreover no organization would be willing to provide that much
downtime for live reporting based on that extractor.</span><br /><span>As
all of us know that initialization of LO Extractor is critical,
resource intensive & time consuming task. Pre-requisites to perform
fill setup tables are - we need to lock the users from transactional
updates in R/3 system, Stop all batch jobs that update the base tables
of the extractor. Then we need to schedule the setup jobs with suitable
date ranges/document number ranges.</span><br /><span>We
also came across such scenario where there was a requirement to add 3
new fields to existing LO cockpit extractor 2LIS_12_VCITM.
Initialization was done for this extractor 1 year back and the data
volume was high.We adopted step by step approach to minimize the risk of
delta queue getting broken /disturbed. Hope this step by step procedure
will help all of us who have to work out similar scenarios.</span><br /><span><strong><em><span style="color: #3333ff;">Step by Step Procedure:-</span></em></strong></span><br /><span>1.Carry
out changes in LO Cockpit extractor in SAP R/3 Dev system.As per the
requirement add new fields to Extractor.These new fields might be
present in standard supporting structures that you get when you execute
"Maintain Data source" for extractor in LBWE. If all required fields are
present in supporting structure mentioned above then just add these
fields using arrow buttons provided and there is no need to write user
exit code to populate these new fields.However if these fields (or some
of the required fields) are not present in supporting structures then
you have to go for append structure and user exit code. The coding in
user exit is required to populate the newly added fields. You have to
write ABAP code in User exit under CMOD & in Include ZXRSAU01.All
above changes will ask you for transport request. Assign appropriate
development class/Package and assign all these objects into a transport
request.</span><br /><span>2.Carry out changes in
BW Dev system for objects related to this change.Carry out all necessary
changes in BW Dev system for objects related to this change (Info
source, transfer rules, ODS, Info cubes, Queries & workbooks).
Assign appropriate development class/Package and assign all these
objects into a transport request</span><br /><span>3.Test
the changes in QA system.Test the new changes in SAP R/3 and BW QA
systems. Make necessary changes (if needed) and include them in
follow-up transports.</span><br /><span>4.Stop V3
batch jobs for this extractor.V3 batch jobs for this extractor are
scheduled to run periodically (hourly/daily etc) Ask R/3 System
Administrator to put on hold/cancel this job schedule.</span><br /><span>5.Lock
out users, batch jobs on R/3 side & stop Process chain schedule on
BW.In order to avoid the changes in database tables for this extractor
and hence possible risk of loss of data, ask R/3 System Administrator to
lock out the users. Also batch job schedule need to be put on hold
/cancel.Ask System Administrator to clear pending queues for this
extractor (if any) in SMQ1/SMQ2. Also pending /error out v3 updates in
SM58 should be processed.On BW production system the process chain
related to delta Info package for this extractor should be stopped or
put on hold.</span><br /><span>6.Drain the delta
queue to Zero for this extractor.Execute the delta Info package from BW
and load the data into ODS & Info cubes. Keep executing delta Info
package till you get 0 records with green light for the request on BW
side. Also you should get 0 LUW entries in RSA7 for this extractor on
R/3 side.</span><br /><span>7.Import R/3 transports
into R/3 Production system.In this step we import R/3 transport request
related to this extractor. This will include user exit code also.
Please ensure that there is no syntax error in include ZXRSAU01 and it
is active. Also ensure that objects such as append structure is active
after transport.</span><br /><span>8.Replicate the data source in BW system.On BW production system, replicate the extractor (data source).</span><br /><span>9.Import
BW transport into BW Production system.In this step we import BW
transport related to this change into BW Production system.</span><br /><span>10.Run
program to activate transfer rulesExecute program
RS_TRANSTRU_ACTIVATE_ALL. Enter the Info source and source system name
and execute. This will make sure that transfer rules for this Info
source are active</span><br /><span>11.Execute V3
job Manually in R/3 sideGo to LBWE and click on Job Control for
Application area related to this extractor (for 2LIS_12_VCITM it is
application 12). Execute the job immediately and it should finish with
no errors.</span><br /><span>12.Execute delta Info
package from BW systemRun delta Info package from BW system. Since there
is no data update, this extraction request should be green with zero
records (successful delta extraction)</span><br /><span>13.Restore
the schedule on R/3 & BW systemsAsk System Administrator to resume
V3 update job schedule, batch job schedule and unlock the users. On BW
side, restore the process chains schedule.From next day onwards (or as
per frequency), you should be able to receive the delta for this
extractor with data also populated for new fields.</span></span></div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-79365507293501666952013-06-26T08:35:00.001-07:002014-12-06T07:19:10.799-08:00How to ... Write Infopackage selection Routine<div dir="ltr" style="text-align: left;" trbidi="on">
<span style="font-size: small;"> 1.Create an <span class="blsp-spelling-error" id="SPELLING_ERROR_0">Infopackage</span><img alt="" border="0" height="150" id="BLOGGER_PHOTO_ID_5107023142328744530" src="http://bp2.blogger.com/_MliKE5LiqOc/Rt_KfWI0OlI/AAAAAAAAAR8/JXBaWKbn3Oc/s400/ip_1.JPG" style="display: block; margin: 0px auto 10px; text-align: center;" width="400" /> 2. </span><span style="font-size: small;">Go to selections tab and choose Type: 6 – <span class="blsp-spelling-error" id="SPELLING_ERROR_1">ABAP</span> Routine.You can see following available options(F4 Help).<img alt="" border="0" id="BLOGGER_PHOTO_ID_5107023984142334562" src="http://bp2.blogger.com/_MliKE5LiqOc/Rt_LQWI0OmI/AAAAAAAAASE/AmyTPH3ez_A/s1600/ip_2.JPG" style="display: block; margin: 0px auto 10px; text-align: center;" /></span><br />
<span style="font-size: small;">3. Give disruption, and hit enter, now you will move to following screen. <img alt="" border="0" height="186" id="BLOGGER_PHOTO_ID_5107024499538410098" src="http://bp2.blogger.com/_MliKE5LiqOc/Rt_LuWI0OnI/AAAAAAAAASM/pZVlp5qEW6g/s400/ip_3.JPG" style="display: block; margin: 0px auto 10px; text-align: center;" width="400" />4. Write Code between begin of Routine and End of Routine.</span><br />
<span style="font-size: small;">5. See below sample code to select date range from Previous 6 days to Current date.</span><br />
<span style="font-size: small;">6. L_T_Range table is of Type structure <span class="blsp-spelling-error" id="SPELLING_ERROR_2">RSSDLRANGE</span>.<br /> a. <span class="blsp-spelling-error" id="SPELLING_ERROR_3">RSSDLRANGE</span> contains SIGN, OPTION, LOW, HIGH<br /> We need to populate these fields to pass range dynamically.<br /><i><span style="color: #3366ff;"><b>Sample Code:</b></span></i><span style="color: silver;">****$*$ begin of routine - insert your code only below this line *-*</span><br /><span style="color: #3333ff;">Data: l_<span class="blsp-spelling-error" id="SPELLING_ERROR_4">idx</span> like <span class="blsp-spelling-error" id="SPELLING_ERROR_5">sy</span>-<span class="blsp-spelling-error" id="SPELLING_ERROR_6">tabix</span>.<br />Data: date_low like <span class="blsp-spelling-error" id="SPELLING_ERROR_7">sy</span>-datum.<br />Date_low = <span class="blsp-spelling-error" id="SPELLING_ERROR_8">sy</span>-datum – 6.”(To get 6 days back).<br /> read table l_t_range with key<br /> <span class="blsp-spelling-error" id="SPELLING_ERROR_9">fieldname</span> = '<span class="blsp-spelling-error" id="SPELLING_ERROR_10">CRDAT</span>'.<br /> l_<span class="blsp-spelling-error" id="SPELLING_ERROR_11">idx</span> = <span class="blsp-spelling-error" id="SPELLING_ERROR_12">sy</span>-<span class="blsp-spelling-error" id="SPELLING_ERROR_13">tabix</span>.<br /> *** Pass Range values to L_T_Range Table.<br /> Move date_low to L_T_Range -Low.<br /> Move <span class="blsp-spelling-error" id="SPELLING_ERROR_14">sy</span>-datum to L_T_Range -High.<br /> L_T_Range -Sign = ‘I’. *****(Here: I – Include, E – Exclude)<br /> L_T_Range -Option = ‘<span class="blsp-spelling-error" id="SPELLING_ERROR_15">BT</span>’.****( Here: <span class="blsp-spelling-error" id="SPELLING_ERROR_16">BT</span> – Between )<br /> modify l_t_range index l_<span class="blsp-spelling-error" id="SPELLING_ERROR_17">idx</span>.<br /> p_<span class="blsp-spelling-error" id="SPELLING_ERROR_18">subrc</span> = 0.</span><br /><span style="color: silver;"> ***$*$ end of routine - insert your code only before this line *-*</span></span><br />
<span style="font-size: small;">7. Syntax check and Save.</span></div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-90724348400246420852013-06-26T08:30:00.001-07:002014-12-06T07:19:10.804-08:00Inventory management: Usage of 2LIS_03_BX datasource<div dir="ltr" style="text-align: left;" trbidi="on">
<div style="text-align: left;">
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Is it required to load data using 2LIS_03_BX datasource to get initialil stock opening balances...!!</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>2LIS_03_BX --> This structure is used to
extract the stock data from MM Inventory Management for initialization
to a BW system.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>2LIS_03_BF --> This structure is used to
extract the material movement data from MM Inventory Management (MM-IM)
consistently to a BW system</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>2LIS_03_UM --> This structure is used to
extract the revaluation data from MM Inventory Management (MM-IM)
consistently to a BW system. Contains only value changes, no quantity
changes.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Before you can extract data for revaluations to a BW system, you must ensure that the transaction/event key is active.<br />
For this, see the following SAP Notes:<br />
· 353042: How To: Activate transaction key (PROCESSKEY)<br />
· 315880: Missing event control after PI-A installation</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Usage of BX datasource is depends on business requirement.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Requirement1: For example data getting pulled from R/3 system. It contains <span style="color: #000099;"><strong>10 years</strong></span> of History Data.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Business requirement is want to see Inventory / Stocks data for <span style="color: red;"><strong>last 2</strong></span> years only.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>In this case, to get opening balances can only get through BX datasource and compress <strong><span style="color: #000099;">WITH</span><span style="color: #000099;"> M</span><span style="color: #000099;">aker</span></strong> update. after that we can load only last 2 years of historic data using BF & UM datasources and compress <strong><span style="color: #000099;">WITHOUT</span><span style="color: #000099;"> Marker</span></strong> update.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Requirement2: For example data getting pulled from R/3 system. It contains <span style="color: #000099;"><strong>2 years</strong></span> of History Data only and <span style="color: black;">entire data</span> needed from reporting.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>In this case, we can use BX to pull opening stock balances and compress WITH Marker update and</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Pull BF & UM for 2 years of historic data and compress <strong><span style="color: #000099;">WITHOUT Marker</span></strong> update. Same as above.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span style="color: red;"><strong>OR</strong></span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span></span><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>Just Pull entire historic data - stock movements (2 years) using BF and UM datasources and compress <strong><span style="color: red;">WITH Marker update</span></strong> . It creates Opening Balances. In this case no need to Load BX datasource.</span></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><span>How To… Handle Inventory Management Scenarios in BW: </span><a href="https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/f83be790-0201-0010-4fb0-98bd7c01e328"><span>https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/f83be790-0201-0010-4fb0-98bd7c01e328</span></a><span> </span></span></span></div>
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com1tag:blogger.com,1999:blog-6668557786081504415.post-61837718358977330082013-06-26T08:27:00.002-07:002014-12-06T07:21:13.007-08:00How-to enhance LO-Cockpit DataSources with delta-relevant fields<div dir="ltr" style="text-align: left;" trbidi="on">
Author: Davide Cavallari<br />
<br />
Summary<br />
We need to add a user-defined field to a LO-Cockpit DataSource. This
field can change with no other field of the standard extract structure
changing at the same time. We want this change to be registered by the
DataSource's delta queue.<br />
<br />
In the following example we will see how to add a custom field for the
sales rep specified in a sales document. We will assume that the sales
rep is modeled as a line-item partner function, and we will therefore
enhance the DataSource 2LIS_11_VDITM (Sales Document Item Data).<br />
<br />
Related Content<br />
Introduction<br />
1. Enhancing the LIS communication structure<br />
2. Customizing the extract structure<br />
3. Implementing the extraction logic for delta process<br />
4. Implementing the extraction logic for the initialisation run<br />
<br />
Introduction<br />
The extraction process for the Logistics DataSources (those found in the
LO Customising Cockpit, transaction code LBWE) is pretty complex. No
wonder that, when you need to add a custom field to one of such
DataSources, you have to pay especially carefull attention in order to
avoid losing data from the DataSource's extraction or delta queues. On
top of that, if your custom field is delta relevant as well, you may
well end up with a broken delta process, where document changes are not
always sent to the delta queue.<br />
<br />
Here delta relevant means that when this field changes, this change
should be felt by the V3 delta process, even though no additional field
in the standard extract structure changes. It can be difficult to figure
out exactly which steps are needed to ensure that the delta process
works--although there is some good piece information around, such as
this one, all in all I find the documentation available is pretty
fragmented.<br />
<br />
In the following I will concisely discuss an example which illustrates
how to add a custom field for the sales rep specified in a sales
document. We will assume that the sales rep is modeled as a line-item
partner function, which in our example will have the value 'Z1'. We will
therefore enhance the DataSource 2LIS_11_VDITM (Sales Document Item
Data). I will not give details as to use the LO Customising Cockpit
(LBWE) or implement an enhancement through the CMOD, though. If you need
information about these tools, you should probably look for some
specific documents on these topics as well. I do not even expalain the
concept of before- and after-image records--should you need such
information please refer to the related content section at the end of
this document.<br />
<br />
1. Enhancing the LIS communication structure<br />
First of all, we need to add an extra field (YYKAM, in the example) in
the LIS communication structure for sales documents' item data (MCVBAP).<br />
<br />
We will insert an append structure (ZAMCVBAPUS, in the example) into the
include structure MCVBAPUSR, and insert the new field YYKAM into this
append structure:<br />
<br />
<a href="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-01.jpg"><img alt="" border="0" src="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-01.jpg" style="cursor: hand; cursor: pointer; display: block; height: 496px; margin: 0px auto 10px; text-align: center; width: 759px;" /></a><br />
<br />
2. Customizing the extract structure<br />
The custom field YYKAM is now available in the LO Customizing Cockpit
(transaction code LBWE), so we can add it to the extract structure
MC11VA0ITM:<br />
<br />
<a href="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-02.jpg"><img alt="" border="0" src="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-02.jpg" style="cursor: hand; cursor: pointer; display: block; height: 287px; margin: 0px auto 10px; text-align: center; width: 606px;" /></a><br />
<br />
3. Implementing the extraction logic for delta process<br />
In this step we will implement the code for extracting the value of the
sales rep when a sales order's line item is created, modified or deleted
(delta process). In the last step, instead, we will implement the
extraction logic needed when performing the initialisation of a delta
process.<br />
<br />
The code for the delta extraction has to be written into the function
EXIT_SAPLMCS1_002 (this function refers to the sales orders' line items)
of the enhancement MCS10001 (SIS: Statistics update, sales documents).
This can be done via the transaction CMOD:<br />
<br />
<a href="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-03.jpg"><img alt="" border="0" src="https://wiki.sdn.sap.com/wiki/download/attachments/19688/Enhance_LO-Cockpit_DS-03.jpg" style="cursor: hand; cursor: pointer; display: block; height: 146px; margin: 0px auto 10px; text-align: center; width: 664px;" /></a><br />
<br />
Every time a line item is changed, deleted, or added, the EXIT function
is called two times: one execution step processes the status of the data
before the change (before-image), while the other the status after the
change (after-image).<br />
<br />
The field YY_KAM has to be filled with the value of the sales rep before
or after the change, depending on whether the record is the before- or
after-image. We can figure out which record is being processed through
the field i_xmcvbap-supkz--its value being 1 for the before-image or 2
for the after-image record:<br />
<br />
01.<br />
*----------------------------------------------------------------------*<br />
02.<br />
* INCLUDE ZXMCVU02 *<br />
03.<br />
*----------------------------------------------------------------------*<br />
04.<br />
* importing VALUE(I_XMCVBAK) LIKE MCVBAKB STRUCTURE MCVBAKB<br />
05.<br />
*" VALUE(I_XMCVBUK) LIKE MCVBUKB STRUCTURE MCVBUKB<br />
06.<br />
*" VALUE(I_XMCVBAP) LIKE MCVBAPB STRUCTURE MCVBAPB<br />
07.<br />
*" VALUE(I_XMCVBUP) LIKE MCVBUPB STRUCTURE MCVBUPB<br />
08.<br />
*" VALUE(I_XMCVBKD) LIKE MCVBKDB STRUCTURE MCVBKDB<br />
09.<br />
*" VALUE(I_CONTROL) LIKE MCCONTROL STRUCTURE MCCONTROL<br />
10.<br />
*" EXPORTING<br />
11.<br />
*" VALUE(E_XMCVBAPUSR) LIKE MCVBAPUSR<br />
12.<br />
*" STRUCTURE MCVBAPUSR<br />
13.<br />
*----------------------------------------------------------------------*<br />
14.<br />
*<br />
15.<br />
* [...]<br />
16.<br />
*<br />
17.<br />
[...]<br />
18.<br />
<br />
19.<br />
DATA lv_old_kz VALUE '1'.<br />
20.<br />
DATA lv_new_kz VALUE '2'.<br />
21.<br />
22.<br />
[...]<br />
23.<br />
24.<br />
CASE i_xmcvbap-supkz.<br />
25.<br />
26.<br />
** before-image record<br />
27.<br />
WHEN lv_old_kz .<br />
28.<br />
29.<br />
[...]<br />
30.<br />
31.<br />
** after-image record<br />
32.<br />
WHEN lv_new_kz.<br />
33.<br />
34.<br />
[...]<br />
35.<br />
36.<br />
ENDCASE.<br />
37.<br />
[...]<br />
Being the sales rep a partner function, its before- and after-image
values will be read from internal tables YVBPA and XVBPA respectively.
These two internal tables are defined and filled in the program
SAPMV45A, and to access to their content we need to reference them
through the ABAP instruction ASSIGN:<br />
<br />
01.<br />
FIELD-SYMBOLS:TYPE table.<br />
02.<br />
FIELD-SYMBOLS:TYPE table.<br />
03.<br />
04.<br />
DATA lv_old_kz VALUE '1'.<br />
05.<br />
DATA lv_new_kz VALUE '2'.<br />
06.<br />
DATA tb_pa LIKE vbpavb OCCURS 0 WITH HEADER LINE.<br />
07.<br />
REFRESH tb_pa. CLEAR tb_pa.<br />
08.<br />
09.<br />
CASE i_xmcvbap-supkz.<br />
10.<br />
11.<br />
** before-image record<br />
12.<br />
WHEN lv_old_kz .<br />
13.<br />
""reference to before-image table<br />
14.<br />
ASSIGN ('(SAPMV45A)YVBPA[]') TO.<br />
15.<br />
IF sy-subrc EQ 0.<br />
16.<br />
tb_pa[] =.<br />
17.<br />
18.<br />
[...]<br />
19.<br />
20.<br />
ENDIF.<br />
21.<br />
22.<br />
**after-image record<br />
23.<br />
WHEN lv_new_kz.<br />
24.<br />
""reference to after-image table<br />
25.<br />
ASSIGN ('(SAPMV45A)XVBPA[]') TO.<br />
26.<br />
IF sy-subrc EQ 0.<br />
27.<br />
tb_pa[] =.<br />
28.<br />
ENDIF.<br />
29.<br />
30.<br />
ENDCASE.<br />
31.<br />
[...]<br />
When users modify the sales rep in an order line item, they can enter
the original value again. When this happens, the before-image and the
after-image values for the field YYKAM have to be the same. In this
case, however, the table YVBPA does not contain the before-image value,
so we will need to fetch it from the after-image table XVBPA:<br />
01.<br />
** before-image record<br />
02.<br />
WHEN lv_old_kz .<br />
03.<br />
""reference to before-image table<br />
04.<br />
ASSIGN ('(SAPMV45A)YVBPA[]') TO.<br />
05.<br />
IF sy-subrc EQ 0.<br />
06.<br />
tb_pa[] =.<br />
07.<br />
08.<br />
READ TABLE tb_pa WITH KEY parvw = 'Z1'.<br />
09.<br />
"Z1 is the sales rep's partner function<br />
10.<br />
IF sy-subrc ne 0.<br />
11.<br />
""when user does not change the sales rep, Y- table does not<br />
12.<br />
""contain the partner function Z1, so before-image state has to be<br />
13.<br />
""read from X- table.<br />
14.<br />
ASSIGN ('(SAPMV45A)XVBPA[]') TO.<br />
15.<br />
IF sy-subrc EQ 0.<br />
16.<br />
tb_pa[] =.<br />
17.<br />
ENDIF.<br />
18.<br />
ENDIF.<br />
19.<br />
20.<br />
ENDIF.<br />
Here is the complete example code:<br />
<br />
01.<br />
*----------------------------------------------------------------------*<br />
02.<br />
* INCLUDE ZXMCVU02 *<br />
03.<br />
*----------------------------------------------------------------------*<br />
04.<br />
* importing VALUE(I_XMCVBAK) LIKE MCVBAKB STRUCTURE MCVBAKB<br />
05.<br />
*" VALUE(I_XMCVBUK) LIKE MCVBUKB STRUCTURE MCVBUKB<br />
06.<br />
*" VALUE(I_XMCVBAP) LIKE MCVBAPB STRUCTURE MCVBAPB<br />
07.<br />
*" VALUE(I_XMCVBUP) LIKE MCVBUPB STRUCTURE MCVBUPB<br />
08.<br />
*" VALUE(I_XMCVBKD) LIKE MCVBKDB STRUCTURE MCVBKDB<br />
09.<br />
*" VALUE(I_CONTROL) LIKE MCCONTROL STRUCTURE MCCONTROL<br />
10.<br />
*" EXPORTING<br />
11.<br />
*" VALUE(E_XMCVBAPUSR) LIKE MCVBAPUSR<br />
12.<br />
*" STRUCTURE MCVBAPUSR<br />
13.<br />
*---------------------------------------------------------------------------*<br />
14.<br />
*<br />
15.<br />
* See SAP Note 216448 for information on 'before-' e 'after-image'<br />
16.<br />
*---------------------------------------------------------------------------*<br />
17.<br />
18.<br />
FIELD-SYMBOLS:TYPE table.<br />
19.<br />
FIELD-SYMBOLS:TYPE table.<br />
20.<br />
21.<br />
DATA lv_old_kz VALUE '1'.<br />
22.<br />
DATA lv_new_kz VALUE '2'.<br />
23.<br />
DATA tb_pa LIKE vbpavb OCCURS 0 WITH HEADER LINE.<br />
24.<br />
REFRESH tb_pa. CLEAR tb_pa.<br />
25.<br />
26.<br />
CASE i_xmcvbap-supkz.<br />
27.<br />
28.<br />
** before-image record<br />
29.<br />
WHEN lv_old_kz .<br />
30.<br />
""reference to before-image table<br />
31.<br />
ASSIGN ('(SAPMV45A)YVBPA[]') TO.<br />
32.<br />
IF sy-subrc EQ 0.<br />
33.<br />
tb_pa[] =.<br />
34.<br />
35.<br />
READ TABLE tb_pa WITH KEY parvw = 'Z1'.<br />
36.<br />
IF sy-subrc ne 0.<br />
37.<br />
""when user does not change the sales rep, Y- table does not<br />
38.<br />
""contain the partner function Z1, so before-image state has to be<br />
39.<br />
""read from X- table.<br />
40.<br />
ASSIGN ('(SAPMV45A)XVBPA[]') TO.<br />
41.<br />
IF sy-subrc EQ 0.<br />
42.<br />
tb_pa[] =.<br />
43.<br />
ENDIF.<br />
44.<br />
ENDIF.<br />
45.<br />
46.<br />
ENDIF.<br />
47.<br />
48.<br />
** after-image record<br />
49.<br />
WHEN lv_new_kz.<br />
50.<br />
""reference to after-image table<br />
51.<br />
ASSIGN ('(SAPMV45A)XVBPA[]') TO.<br />
52.<br />
IF sy-subrc EQ 0.<br />
53.<br />
tb_pa[] =.<br />
54.<br />
ENDIF.<br />
55.<br />
56.<br />
ENDCASE.<br />
57.<br />
58.<br />
** we take the line-item value unless not present<br />
59.<br />
** in which case we take the header value<br />
60.<br />
READ TABLE tb_pa WITH KEY posnr = i_xmcvbap-posnr<br />
61.<br />
parvw = 'Z1'.<br />
62.<br />
IF sy-subrc NE 0.<br />
63.<br />
READ TABLE tb_pa WITH KEY posnr = '000000'<br />
64.<br />
parvw = 'Z1'.<br />
65.<br />
ENDIF.<br />
66.<br />
67.<br />
IF sy-subrc EQ 0.<br />
68.<br />
MOVE tb_pa-lifnr TO e_xmcvbapusr-yykam.<br />
69.<br />
ENDIF.<br />
4. Implementing the extraction logic for the initialisation run<br />
The code in the EXIT above is only run when a sales document line is
created, modified, or deleted (delta process). However, that code is not
executed during the initialisation of the delta process, i.e. when all
data from setup tables are loaded in BW.<br />
<br />
In order for the extraction to take place also during the initialisation
run, we need to implement the same extraction logic in the function
EXIT_SAPLRSAP_001 (normally used to enhance non-LO transactional
DataSources) of the enhancement RSAP0001 (Customer function calls in the
service API).<br />
<br />
Since we have already implemented the extraction logic for the delta
process, we have to make sure that the code we put here is executed only
when data are requested in full mode--i.e. when the field i_updmode has
the value 'F' (transfer of all requested data), 'C' (initialization of
the delta transfer), 'S' (simulation of initialzation of delta
transfer), or 'I' (transfer of an opening balance for non-cumulative
values, not relevant in our case), but not when its value is 'D'
(transfer of the delta since the last request) and 'R' (repetition of
the transfer of a data packet):<br />
<br />
01.<br />
[...]<br />
02.<br />
03.<br />
CASE i_datasource.<br />
04.<br />
05.<br />
[...]<br />
06.<br />
07.<br />
WHEN '2LIS_11_VAITM'.<br />
08.<br />
DATA: s_mc11va0itm LIKE mc11va0itm.<br />
09.<br />
10.<br />
LOOP AT c_t_data INTO s_mc11va0itm.<br />
11.<br />
wk_tabx = sy-tabix.<br />
12.<br />
13.<br />
*-- The following code must be executed during initialisation only<br />
14.<br />
*-- (the extraction logic for delta update in EXIT_SAPLMCS6_002)<br />
15.<br />
*<br />
16.<br />
** we take the line-item value unless not present<br />
17.<br />
** in which case we take the header value<br />
18.<br />
19.<br />
* only during initialisation<br />
20.<br />
IF i_updmode EQ 'F' OR " F Transfer of all requested data<br />
21.<br />
i_updmode EQ 'C' OR " C Initialization of the delta transfer<br />
22.<br />
i_updmode EQ 'S' OR " S Simulation of Initialzation of Delta Transfer<br />
23.<br />
i_updmode EQ 'I'. " I Transfer of an opening balance for non-cumulative values<br />
24.<br />
* D Transfer of the Delta Since the Last Request<br />
25.<br />
* R Repetition of the transfer of a data packet<br />
26.<br />
27.<br />
SELECT SINGLE lifnr INTO l_lifnr<br />
28.<br />
FROM vbpa<br />
29.<br />
WHERE vbeln = s_mc11va0itm-vbeln AND<br />
30.<br />
posnr = s_mc11va0itm-posnr AND<br />
31.<br />
parvw = 'Z1'.<br />
32.<br />
33.<br />
IF sy-subrc NE 0.<br />
34.<br />
SELECT SINGLE lifnr INTO l_lifnr<br />
35.<br />
FROM vbpa<br />
36.<br />
WHERE vbeln = s_mc11va0itm-vbeln AND<br />
37.<br />
posnr = '000000' AND<br />
38.<br />
parvw = 'Z1'.<br />
39.<br />
ENDIF.<br />
40.<br />
41.<br />
IF sy-subrc EQ 0.<br />
42.<br />
MOVE l_lifnr TO s_mc11va0itm-yykam.<br />
43.<br />
ENDIF.<br />
44.<br />
ENDIF.</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-950559049691517672013-06-26T08:25:00.001-07:002014-12-06T07:21:13.024-08:00Customer Exit to Restrict a Characteristic with Values Containing Certain Pattern<div dir="ltr" style="text-align: left;" trbidi="on">
Ref: SDN Wiki<br />
Author: Ramakrishna Gattikoppula<br />
<br />
<span style="font-weight: bold;">Scenario</span><br />
In BW Queries very often there is a requirement to restrict a
characteristic with some values to get the correct result. Let us say we
have a requirement where we need to restrict the query to only those
Departments for which the Department ID starts with D1 or D2. This will
be very simple task when there are limited number of Departments IDs
starting with D1 or D2, but what if there are many Departments whose ID
starts with D1 or D2.<br />
<br />
<span style="font-weight: bold;">Solution</span><br />
This Can be achieved using a Customer Exit Variable.<br />
<br />
Following are the steps you need to perform to restrict the characteristic with values having certain pattern.<br />
<br />
Step1: Create a New Variable(say ZVAR_DEPT) on the Characteristic Department with following properties.<br />
<br />
Type of Variable: Characteristic Value.<br />
Processing By: Customer Exit.<br />
Variable Represents: Multiple Single Values.<br />
Variable Entry is: Mandatory, Not Ready for Input and Cannot be changed in Query Navigation <br />
<br />
Step 2: Restrict the Characteristic with the variable ZVAR_DEPT.<br />
<br />
Step 3: Go to Transaction SE37 and enter "EXIT_SAPLRRS0_001". In the
next screen double click on "ZXRSRU01", this will take you to the screen
where you can define Customer exit code for Global Variables in
Reporting.<br />
<br />
Step 4: Include the following code in the Customer Exit code.<br />
<br />
WHEN 'ZVAR_DEPT'.<br />
IF I_STEP = 1.<br />
DATA: ITAB1 TYPE STANDARD TABLE OF /BI0/SDEPT_ID WITH HEADER LINE.<br />
SELECT * FROM /BI0/SDEPT_ID INTO TABLE ITAB1 WHERE DEPT_ID LIKE 'D1%' OR DEPT_ID LIKE 'D2%'.<br />
CLEAR: L_S_RANGE.<br />
L_S_RANGE-SIGN = 'I'.<br />
L_S_RANGE-OPT = 'EQ'.<br />
LOOP AT ITAB1.<br />
L_S_RANGE-LOW = ITAB1-DEPT_ID.<br />
APPEND L_S_RANGE TO E_T_RANGE.<br />
ENDLOOP.<br />
CLEAR L_S_RANGE.<br />
ENDIF.<br />
</div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0tag:blogger.com,1999:blog-6668557786081504415.post-2929280909228697552013-06-26T08:24:00.001-07:002014-12-06T07:21:12.982-08:00Characteristic Value Authorization - BI 7.0<div dir="ltr" style="text-align: left;" trbidi="on">
Author: Sudhakar Mohan<br />
<br />
<span style="font-weight: bold;">How to create Info Object level( Characteristic Value ) Authorization for a Reporting User in BI 7.0</span><br />
<br />
<span style="font-weight: bold;">Scenario</span>: There are 5 sales
organizations and we are going to restrict a reporting user ( TEST ) to
access only 2 sales organization data out of the 5. In this eg.1000 and
2000 are the sales organizations of the user TEST for which we are
going to give access.So whenever the user TEST executes thereport,he
will only be able to see the Sales organisations 1000 and 2000 in the
report.<br />
<br />
Step - 1: Mark the InfoObject Authorization Relevant & Activate it. <br />
<a href="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img1.JPG"><img alt="" border="0" src="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img1.JPG" style="cursor: hand; cursor: pointer; display: block; height: 500px; margin: 0px auto 10px; text-align: center; width: 565px;" /></a><br />
Step - 2: Go to Tcode - RSECADMIN <br />
Under Maintenance - Enter the name of the Authorization Object and click Create Authorization.<br />
Insert Sales Organization Info object as shown below. Also included the
other SAP recommended objects 1.0TCAACTVT, 2.0TCAIPROV and 3.0TCAVALID. <br />
<a href="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img2.JPG"><img alt="" border="0" src="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img2.JPG" style="display: block; height: 437px; margin: 0px auto 10px; text-align: center; width: 544px;" /></a><br />
Maintain the Values for these Objects. Select 0Salesorg and click Details.<br />
Eg: Values 1000 and 2000 are maintained for Sales Organisation<br />
<a href="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img3.JPG"><img alt="" border="0" src="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img3.JPG" style="cursor: hand; cursor: pointer; display: block; height: 467px; margin: 0px auto 10px; text-align: center; width: 472px;" /></a><br />
Note : Also include all Authorisation Relevant Objects which are used in
that infoprovider in addition to the above additional 3 objects
otherwise you may get "No Authorisation" error when you execute the
query.<br />
<br />
Step - 3 : Tcode - RSU01 Assign User to Authorisation Object<br />
Enter the name of the user to be assigned with the authorization object and click the change button.<br />
The select the relevant authorization object and save. <br />
<a href="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img4.JPG"><img alt="" border="0" src="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img4.JPG" style="cursor: hand; cursor: pointer; display: block; height: 371px; margin: 0px auto 10px; text-align: center; width: 503px;" /></a><br />
Note : 0BI_ALL is the authorization object to access all the info objects which are authorization relevant.<br />
<br />
Step - 4: Create Authorisation Variable in Query Designer <br />
Create an Authorization Variable - Variable with Processing by Authorisation in Query Designer as Below for Sales Organisation.<br />
Restrict the Sales Organisation with the Authorisation Variable and execute the query.<br />
<a href="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img5.JPG"><img alt="" border="0" src="http://wiki.sdn.sap.com/wiki/download/attachments/15925332/img5.JPG" style="cursor: hand; cursor: pointer; display: block; height: 376px; margin: 0px auto 10px; text-align: center; width: 503px;" /></a></div>
KVR Builders & Developershttp://www.blogger.com/profile/00007187571957952489noreply@blogger.com0