Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

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considerably more data records are required for the same data volume as in the key figure model. ActiveX Data Objects A logical object model for programmatically accessing a variety of data sources through OLE DB interfaces. ADO, provided by Microsoft, is the foundation for Microsoft's ADO MD extension, upon which the BI ODBO Connector is based. ActiveX Data Objects Multidimensional A logical object model provided by Microsoft that facilitates easy access to multidimensional data by extending ADO with objects specific to multidimensional data, such as cubes and cellsets. Like ADO, ADO MD uses an underlying OLE DB provider to gain access to data. The BI ODBO Connector uses ADO MD to support connectivity to OLAP data sources. Ad-hoc Query Designer Web item that enables you to create and change ad hoc queries in a Web application. You can use the Web item Ad-hoc Query Designer in the Web Application Designer to design Web applications in which you can create or change queries. after-import method Method that is used in connection with the transport of an object into a different system. The after import method is called in the target system after the object has been imported. The after import method is object specific and, therefore, you have to rewrite it for every object type. You might typically use the after import method to activate the imported object, in order to integrate it in a new context in the target system. aggregate Stores the dataset of an InfoCube redundantly and persistently in a summarized form on the database. When building an aggregate from the characteristics and navigation attributes from an InfoCube, you can group the data according to different aggregation levels. Remaining characteristics that are not used in the aggregate are summarized. New data is loaded into an aggregate using logical data packages (requests). You differentiate between filling and rolling up with regard to loading data. Aggregates enable you to access InfoCube data quickly for reporting. Thus, aggregates help to improve performance. 282 Best Practices for SAP BI using DB2 9 for z/OS
aggregation level Selection of characteristics and navigation attributes of an InfoCube, from which aggregates are constructed. You have the following aggregation options: ► All characteristic values (“*”): Data is grouped by all values of the characteristic or the navigation attribute. ► Hierarchy level (“H”): Data is grouped by hierarchy level nodes. ► Fixed value (“F”): Data is filtered according to a single value. alert monitor A monitoring tool for displaying exceptions whose threshold values have been exceeded or have not been reached. The critical exceptions are found in background processing with the help of the reporting agent. They are then displayed in the alert monitor as a follow-up action. Exceptions are displayed in the BEx Analyzer as well as in the reporting agent scheduler of the Administrator Workbench. Exceptions can also be displayed as an alert monitor in a Web application. Significance in BEx Web applications: Web item that displays the query views, which were found in background processing (with the help of the reporting agent) as a list or hierarchy in a Web application. You can jump between query views and see at a glance conspicuous key figure values that deviate from the defined threshold values. You can also set filters. analysis process Calculation of data transformations on mass data within an analytical application. An analysis process enables you to: ► Read And Combine Data In BI From Different Data Sources ► Switch Transformations Sequentially ► Preview Calculated Data At A Specific Process Position ► Save The calculation results. analysis process designer Tool used to model an analysis process. The analysis process designer provides a graphical interface to model analysis processes. Analysis process is built using nodes and data flow arrows. Appendix A. Glossary for SAP BI 283
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Best Practices for SAP BI using DB2
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Note: Before using this information
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4.4 Extended sparse index and in-me
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11.3 SAP BI database and InfoCube l
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viii Best Practices for SAP BI usin
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Trademarks The following terms are
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The team that wrote this IBM Redboo
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Thanks to these authors from the Pr
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► Send your comments in an e-mail
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1.1 Product overview The business w
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In general, database administrators
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► Horizontal growth is achieved b
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8 Best Practices for SAP BI using D
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2.1 BI architecture Figure 2-1 show
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New term Old term Analysis authoriz
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negative values means missing stati
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- When calculating database statist
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If you specify a partitioning schem
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Important: Never partition a PSA ta
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Figure 2-10 DPSIs versus NPSIs Figu
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Finally, Figure 2-12 explains which
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Figure 2-14 shows how the snowflake
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► Realignment This refers to the
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3.1 Base recommendations - SAP BI i
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the F- fact table, the E- fact tabl
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34 Best Practices for SAP BI using
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4.1 Dynamic index ANDing for star s
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Figure 4-2 and Figure 4-3 on page 3
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4.2.1 Processing RUNSTATS for BI ta
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RUNSTATS will then be called over t
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DSNU610I -DB2T 081 16:36:03.85 DSNU
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Often the single-value based freque
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Several things worth noting are:
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The unit of a value specified to MX
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condition, generated by SAP BI upon
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There is a separate IBM Redbooks pu
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5.1 Load PSA In this section we dis
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5.1.1 Load PSA To load data into th
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After the source system, the DataSo
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Note the available tabs (registers)
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Figure 5-8 shows the provided optio
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Figure 5-10 shows the following:
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The PSA table name is created autom
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5.1.4 PSA partitioning Partitioning
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An InfoCube, whether data target or
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6.1 Types of InfoCubes Data targets
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After selecting at least one time d
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6.2.1 Repartitioning implementation
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You will then be presented with a w
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From within the monitor you are abl
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Once your repartitioning process is
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Figure 6-14 is displayed once you h
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When you remodel an InfoProvider yo
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Figure 6-17 demonstrates how you wo
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At this step of the process you are
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6.3.2 Benefits of remodeling InfoPr
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6.4.3 Cumulative data versus non-cu
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Important: After the initial compre
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► Use DPSIs for the cube’s E- f
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7.1 Differences between DataStore a
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Figure 7-1 shows the initial status
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4. By selecting the Create button,
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Partitioning and clustering are bot
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7.4.2 Choosing and changing the clu
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7.4.4 Partitioning a DataStore obje
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From the ABAP Dictionary: Utility f
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Figure 7-9 DB2/390 Storage Attribut
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partitioning was used. The CREATE T
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, "/BIC/RECORDMODE" POSITION( 00289
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Upon completion of the job, you wil
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| "/BIC/DIVISION" VARGRAPHIC (00000
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| sql: | DELETE FROM DDSTORAGE | WH
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| "/BIC/CRMEM_VAL" DECIMAL (000017,
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| DDL time(___8): .........4 millis
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8.1 Troubleshooting general system
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You need to ascertain: ► Which us
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Further information about the subje
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8.2 Analyzing load performance In t
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We use transaction ST03 → Expert
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Click the Details tab of the RSMO w
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Select the component of interest to
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Figure 8-11 All statistical records
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Figure 8-13 Single statistical reco
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Loading from a flat file You can av
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and right-click to select the Simul
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Note: You must activate the saving
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5. In the right-hand panel of the w
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If your query has long run times th
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that the query runs against → Mai
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If the main component of query perf
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► Display Statistics Data (to sho
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Select the appropriate button, ente
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Figure 8-29 Statement details To ch
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The ratio (ST04 statement cache “
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Figure 8-32 Visual Explain - SQL te
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8.5 SAP Query Analysis Tool The SAP
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Display of sql access path SQL quer
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The access path is displayed hierar
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The table information tab shown in
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DB2 Plan Table Figure 8-42 DB2 plan
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Graphical view of each query block
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Now you see the graphical view of t
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8.5.4 Example of using the query an
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9.1 The BIA architecture Figure 9-1
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Figure 9-2 BIA t-shirt sizing The B
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From the hardware side, the BIA is
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9.7 Overview The improvement of the
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10.1 SQL efficiency for DSO Queries
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The first join predicate is "/BIC/A
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Figure 10-5 Associate local predica
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Step 3 is repeated for each master
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Using the InfoCube query example in
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The first join predicate in Figure
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Thus, we have broken down the origi
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Figure 10-14 Comparing filtering Th
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AND "/BIC/AZOSASALE00"."PLANT" = "/
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Column Local or join CALMONTH Local
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10.4 Indexing of InfoCubes The defa
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11.1 Background To be more competit
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11.2.1 Hardware and software config
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Page 256 and 257: 11.4 Test case scenarios The goal o
Page 258 and 259: Figure 11-3 explains the data flow
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Page 268 and 269: Figure 11-10 shows that the average
Page 270 and 271: 11.5.1 Recommendations for configur
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Page 274 and 275: 12.1 Terminology: BI objects and pr
Page 276 and 277: Metadata plays a fundamental role i
Page 278 and 279: 12.3 Dataflow in SAP BI Data flow i
Page 280 and 281: 12.4 Information access As previous
Page 282 and 283: Predecessor Successor WW Sales Euro
Page 284 and 285: An InfoCube in SAP BI can have up t
Page 286 and 287: 12.8 Aggregates 4. The dimension ta
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Page 298 and 299: The content, depicted in Figure 12-
Page 302 and 303: The nodes stand for data sources, t
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Page 334 and 335: IT scenario The environment we used
Page 336 and 337: Checks under z/OS and DB2 We recomm
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Page 340 and 341: List of SAP BW OSS Notes Table C-1
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Table name Average row length Total
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Parameters BPK16K0 BPK16K1 VIRTUAL
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drwxr-xr-x 3 t11adm sapsys 2048 200
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Example D-6 shows a cube index crea
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B49/S_RTNSVAL 24 DECIMAL 17 2 N 4 N
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-rw-r--r-- 1 t11adm sapsys 2084482
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-rw-r--r-- 1 t11adm sapsys 547449 2
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Online resources These Web sites ar
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Help from SAP SAP Support and downl
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C Candidates for partiioning Data W
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M master data 155, 211, 258, 277 si
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star schema 265-266 also see InfoCu
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Best Practices for SAP BI using DB2
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