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

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Important: Never partition a PSA table manually. If you want to enforce the partitioning for all existing nonpartitioned PSA tables, you have to create a new version for this PSA. There is one easy way to do this automatically for all nonpartitioned PSA tables. Run the Postmigration Report, RS_BW_POST_MIGRATION, and choose only the option L_PSAVER (PSA version). Make sure that you remove all the other options and choose only the option L_PSAVER. Then execute this report. It will then create a new partitioned PSA version for every nonpartitioned PSA table. 2.3.4 Partitioning of DataStore objects This section is about partitioned DSO tables. Partitioning in principal subdivides big data clusters into more and smaller ones. DSOs provide granular data and therefore might grow to big tables. The benefits of partitioned DSO tables are faster loading data and also faster querying data because of the possibility of parallelism. Figure 2-9 highlights some points of partitioning DSOs. Partitioning depends of the DSO type: � 1. Standard DSO. – Rel >= 3.5: Changelog table /BIC/B of DSO is PSA-like partitioned, by default – Rel > 7.0: active DSO table /BIC/A00 is rangepartitioned, same manual configuring and handling as for cubes, but • Partition-field calmonth or fiscper is alphanumeric, instead of numeric as for cubes � 2.Write-optimized DSO – The active DSO table /BIC/A00 is PSA-like partitioned by default � 3. direct write (former transactional) DSO – No partitioning possible Figure 2-9 Partitioning of DataStore objects 20 Best Practices for SAP BI using DB2 9 for z/OS
2.3.5 Usage of data partitioned secondary indexes (DPSI) Data partitioned secondary indexes (DPSIs) provide the capability to partition an index according to the table-controlled partitioning specification of the underlying table. Each partition of a DPSI is a separate B-tree. DPSI ensures full partition independence at the physical level. For example, there is no REORG BUILD2 phase for these indexes. Deleting a single partition (via LOAD REPLACE with empty input file) becomes really fast because there is no need to remove entries from secondary indexes one by one. Recovering can be done on a per-partition basis, which reduces the amount of data that needs to be recovered as well as enables a higher degree of parallelism. The only downside of DPSI is potential access path deficiencies. If a query includes only predicates for the DPSI columns, each of the DPSI partitions (B-trees) will need to be traversed. With NPSIs (non partitioned index) there is only a single traversal. On the other hand, if the query includes a column that allows partition pruning, DPSI can be more efficient than a NPSI. The DB2 optimizer has been enhanced to take the new indexing structure into account and selects the optimal access path. Chapter 2. Overview of SAP BI and related data 21
Page 1: Best Practices for SAP BI using DB2
Page 4 and 5: Note: Before using this information
Page 6 and 7: 4.4 Extended sparse index and in-me
Page 8 and 9: 11.3 SAP BI database and InfoCube l
Page 10 and 11: viii Best Practices for SAP BI usin
Page 12 and 13: Trademarks The following terms are
Page 14 and 15: The team that wrote this IBM Redboo
Page 16 and 17: Thanks to these authors from the Pr
Page 18 and 19: ► Send your comments in an e-mail
Page 20 and 21: 1.1 Product overview The business w
Page 22 and 23: In general, database administrators
Page 24 and 25: ► Horizontal growth is achieved b
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Page 28 and 29: 2.1 BI architecture Figure 2-1 show
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Page 42 and 43: Finally, Figure 2-12 explains which
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Page 74 and 75: 5.1 Load PSA In this section we dis
Page 76 and 77: 5.1.1 Load PSA To load data into th
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Page 80 and 81: Note the available tabs (registers)
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5.1.4 PSA partitioning Partitioning
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72 Best Practices for SAP BI using
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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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Figure 11-10 shows that the average
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11.5.1 Recommendations for configur
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12.1 Terminology: BI objects and pr
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Metadata plays a fundamental role i
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12.3 Dataflow in SAP BI Data flow i
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12.4 Information access As previous
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Predecessor Successor WW Sales Euro
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An InfoCube in SAP BI can have up t
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12.8 Aggregates 4. The dimension ta
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The next example is an aggregate th
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For example, assume that different
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can be updated into InfoCubes or ot
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Figure 12-11 shows the steps that o
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Figure 12-12 on page 279 shows the
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The content, depicted in Figure 12-
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considerably more data records are
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The nodes stand for data sources, t
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values, hierarchies, hierarchy node
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BI SAP Query Connector A resource a
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Business Intelligence Cockpit Web-b
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processors in terms of macros that
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Crystal Reports Designer Design com
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Similar to the OLAP-standard term c
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P table Master data table for time-
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The process instance contains the m
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Relational Query Model An abstracti
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SAP Business Information Warehouse
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source object element Component of
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elements to be displayed in the Web
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Web application object catalog Web
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You insert one or more queries in t
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IT scenario The environment we used
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Checks under z/OS and DB2 We recomm
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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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