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

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The next example is an aggregate that is grouped according to the nodes of a hierarchy level. The hierarchy is shown in Figure 12-8. Level 1 Level 2 Level 3 USA Figure 12-8 Hierarchy of country The aggregate is shown in Table 12-4. That aggregate can be used by queries that report on sales for a hierarchy node on level 2 or higher. In the example shown in Figure 12-8, those are the nodes labeled Europe, America, and World. It can also be used by queries that have this country hierarchy as a presentation hierarchy in the drilldown, but the drilldown goes no lower than the second level. Table 12-4 Aggregate of Country hierarchy level 2 Customer Sales America 60 Europe 35 12.8.2 Maintaining aggregates America There are a number of activities required to maintain aggregates. For example, they must be loaded (filled with data), calculated, activated, and updated. 270 Best Practices for SAP BI using DB2 9 for z/OS Canada World Europe Germany
Activating and filling In order to use an aggregate in the first place, it must be defined, activated, and filled. When activated, the required tables are created in the database from the aggregate definition. Technically speaking, an aggregate is actually a separate BasicCube with its own fact table and dimension tables. However, aggregates might share the dimension tables of the corresponding InfoCube if those tables have the appropriate structure. Upon creation, every aggregate is assigned a technical name, which is a unique number consisting of six digits where the first digit is always set to 1. The table names that make up the logical object that is the aggregate are then derived in a similar manner, as are the table names of an InfoCube. For example, if the aggregate has the technical name 100001, the E- fact tables have the following names: /BIC/E100001 and /BIC/F100001. Its dimensions, which are not the same as those in the InfoCube, have table names such as /BIC/D100001P, /BIC/D100001T, and so on. When you fill an aggregate, you load it with data. This action can only be triggered from the aggregate maintenance. Also note that an aggregate can be filled from the data of a larger aggregate that is already filled. This means that very highly summarized aggregates, as a rule, can quickly obtain data from other aggregates. In contrast, it can take a long time to build aggregates from the InfoCube. Because of this, all aggregates are filled in background processes. If there are several aggregates scheduled to be filled in one process, a hierarchy sequence for the aggregates is determined first, and it is then processed sequentially. This guarantees that very highly summarized aggregates are built from the more detailed aggregates. Roll-up If aggregates are defined, new data packets that are loaded into the InfoCube cannot be used for reporting until they are written to the aggregates by a roll-up. During this process you can continue to report using the data that existed prior to the recent data load. There are three different options for rolling up data: ► You can set up the InfoCube so that every data packet is automatically rolled up into the aggregate if it is technically correct and the quality has been ensured. ► The roll-up can be also started manually from the Administrator Workbench. This is appropriate if the data of several packets form a logical unit and are only valid if they are released together. Chapter 12. Concepts, activities, and terminology 271
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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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Page 242 and 243: 10.4 Indexing of InfoCubes The defa
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Page 246 and 247: 11.1 Background To be more competit
Page 248 and 249: 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 262 and 263: Measurement results Table 11-2 prov
Page 264 and 265: Figure 11-7 shows the average CPU u
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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
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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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To check that the SAPCL procedure w
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List of SAP BW OSS Notes Table C-1
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SAP BI on DB2 for z/OS 390016 BW Da
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Network configuration: static multi
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START CU091060 START CU0A1070 START
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Table name Average row length Total
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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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Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

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