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

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The process instance contains the most important information that the process or the follow-on processes provide, for example, the name of the request during the loading process. The instance is determined by the process itself during the runtime. The logs for the process are stored under the process instance. process type Type of process, for example, a loading process. The process type decides, among other things, which tasks the process has, and which properties the process has in the maintenance. process variant Name of the process. A process can have various variants. For example, in a loading process the name of the InfoPackage tells you the variants of the process. A variant is defined by the user when he or she schedules the process. Query In SAP BI systems, a collection of selected characteristics and key figures (InfoObjects) used together to analyze the data of an InfoProvider. A query always refers exactly to one InfoProvider, whereas you can define as many queries as you like for each InfoProvider. Query view In SAP BI systems, a view of a query after navigation, saved in an InfoCube. You can use this saved query view as a basis for data analysis and reporting. query API Sets of interfaces provided by the BI Java SDK for creating queries against data sources. They are generated via JMI from the SDK's query models, providing methods to create and execute complex OLAP or relational queries based on the metadata in the SDK's CWM-based metadata models. The SDK provides two query APIs: ► OLAP Query API, for defining queries against an OLAP server ► Relational Query API, for defining queries upon relational data sources query model An object-oriented abstraction layer, or model, in the BI Java SDK upon which to formulate queries on a variety of resources without being tied to a specific protocol or query language, such as MDX or SQL. The query models are the basis of their respective query APIs. 300 Best Practices for SAP BI using DB2 9 for z/OS
Two query models are provided by the SDK: ► OLAP Query Model ► Relational Query Model query view - selection Web item that makes navigation between different queries and query views possible. radio button group Web item that allows you to filter characteristic values using a group of radio buttons. Relational Command Processor Part of the BI Java SDK's Relational Query API, an interface that makes it easier to use the API by hiding the complexity of the underlying Relational Query Model. With this interface, you can create and manipulate complex relational queries with simple commands. relational data Data stored in tables, and hence often also referred to as tabular data. relational data provider A component that provides data in relational, or tabular, views and metadata compatible with the BI Java SDK's Relational Metadata Model. Relational Metadata API A set of interfaces provided by the BI Java SDK for accessing the metadata of a relational data source. Generated via JMI from the SDK's Relational Metadata Model. Relational Metadata Model A model provided by the BI Java SDK that describes data accessible through a relational interface such as JDBC. Based on the Common Warehouse Metamodel Relational Package. Relational Query API A set of interfaces provided by the BI Java SDK that let you define queries against a relational data source. The API is generated via JMI from the Relational Query Model, based on metadata provided by the Relational Metadata Model, and includes the simplified Relational Command Processor. Appendix A. Glossary for SAP BI 301
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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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As part of the pre-benchmark planni
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11.4 Test case scenarios The goal o
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Figure 11-3 explains the data flow
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In addition, each cube, especially
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Measurement results Table 11-2 prov
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Figure 11-7 shows the average CPU u
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The number of queries per hour show
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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
Page 294 and 295: Figure 12-11 shows the steps that o
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Page 298 and 299: The content, depicted in Figure 12-
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Page 302 and 303: The nodes stand for data sources, t
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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
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Page 314 and 315: Similar to the OLAP-standard term c
Page 316 and 317: P table Master data table for time-
Page 320 and 321: Relational Query Model An abstracti
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Page 324 and 325: source object element Component of
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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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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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Page 356 and 357: Example D-6 shows a cube index crea
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Page 366 and 367: 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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