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

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values, hierarchies, hierarchy nodes, texts or formulas. You can specify the selection of InfoObjects more precisely by: ► Restricting characteristics and key figures by characteristic values, characteristic value intervals and hierarchy nodes ► Defining calculated and restricted key figures for reuse ► Defining structures for reuse ► Defining exceptions ► Defining conditions ► Defining exception cells You can use all queries that you define in the BEx Query Designer for OLAP reporting, and also for flat reporting. BEx Web Analyzer Independent BEx Web Application for data analysis. The BEx Web Analyzer can be called using a URL or as an iView in the Enterprise Portal. BEx Web application A Web-based application of Business Explorer for data analysis, reporting, and analytical applications on the Web. You can format and display your data differently in the BEx Web Application Designer with a series of Web items (for example, tables, filters, charts, maps, and documents). In this way you can individually set Web applications like BI Cockpits and access them by using the intranet or by using an enterprise portal. BEx Web Application Designer Desktop application for creating Web sites with BI contents. With the BEx Web Application Designer you can create an HTML page that contains BI-specific contents, such as different tables, charts, or maps. This HTML page serves as the basis for Web applications with complex interactions like BI Cockpits. You can save the Web applications as a URL and access them by using the intranet or by using mobile terminals. Additionally, you can save the Web applications as an iView and integrate them into an enterprise portal. BEx Web application wizard Assistant that supports the creation of Web pages with BI-specific contents and enables a simplified design process by means of an automatic step-by-step sequence. The Web Application wizard is integrated in the Web Application Designer. 286 Best Practices for SAP BI using DB2 9 for z/OS
BI Java Connector One of a set of four JCA (J2EE Connector Architecture)-compliant resource adapters that allow you to connect applications built with the BI Java SDK to heterogeneous data sources: ► BI JDBC Connector (for relational JDBD-compliant data sources) ► BI ODBO Connector (for ODBO-compliant OLAP data sources) ► BI SAP Query Connector (a component of the SAP Web Application Server Basis) ► BI XMLA Connector (for OLAP data sources such as SAP BW 3.x) You can also use the Connectors to make external data sources available in BI, via BI's UD Connect. In the SDK, the term connector is synonymous with resource adapter. BI JDBC Connector A resource adapter for the Business Intelligence domain based on Sun's Java Database Connectivity (JDBC), which is the standard Java API for Relational Database Management Systems (RDBMS). The BI JDBC Connector may be deployed into SAP's Web Application Server, and allows you to connect applications built with the BI Java SDK to over 170 JDBC drivers, supporting data sources such as Teradata, Oracle®, Microsoft SQL Server®, Microsoft Access, DB2, Microsoft Excel, and text files such as CSV. You can also use the BI JDBC Connector to make these data sources available in BI, via BI's UD Connect. The JDBC Connector implements the BI Java SDK's IBIRelational interface. BI ODBO Connector A resource adapter for the Business Intelligence domain based on Microsoft's ODBO (OLE DB for OLAP), which is the established industry-standard OLAP API for the Windows platform. The BI ODBO Connector may be deployed into SAP's Web Application Server, and allows you to connect applications built with the BI Java SDK to ODBO-compliant OLAP data sources such as Microsoft Analysis Services, SAS, and Microsoft PivotTable® Services. You can also use the BI ODBO Connector to make these data sources available in BI, via BI's UD Connect. The ODBO Connector implements the BI Java SDK's IBIOlap interface. Appendix A. Glossary for SAP BI 287
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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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11.2.2 Network infrastructure IBM S
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the chassis for blade-to-blade conn
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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
Page 260 and 261: In addition, each cube, especially
Page 262 and 263: Measurement results Table 11-2 prov
Page 264 and 265: Figure 11-7 shows the average CPU u
Page 266 and 267: The number of queries per hour show
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 292 and 293: can be updated into InfoCubes or ot
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Page 296 and 297: Figure 12-12 on page 279 shows the
Page 298 and 299: The content, depicted in Figure 12-
Page 300 and 301: considerably more data records are
Page 302 and 303: The nodes stand for data sources, t
Page 306 and 307: BI SAP Query Connector A resource a
Page 308 and 309: Business Intelligence Cockpit Web-b
Page 310 and 311: processors in terms of macros that
Page 312 and 313: Crystal Reports Designer Design com
Page 314 and 315: Similar to the OLAP-standard term c
Page 316 and 317: P table Master data table for time-
Page 318 and 319: The process instance contains the m
Page 320 and 321: Relational Query Model An abstracti
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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
Page 338 and 339: To check that the SAPCL procedure w
Page 340 and 341: List of SAP BW OSS Notes Table C-1
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Page 348 and 349: Table name Average row length Total
Page 350 and 351: Table name Average row length Total
Page 352 and 353: 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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