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

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Figure 6-14 is displayed once you have clicked the Explain icon on the menu bar (Figure 6-13 on page 87) and you have selected the Table Information tab. This tab displays the partitions that have been created by your repartitioning process. Figure 6-14 Table Information tab - reflects partitions after running a simple query 6.2.2 Advantages of partitioning/repartitioning In conjunction with SAP compression (see 6.4, “SAP compression for loads” on page 96), partitioning the E-Face and F- fact tables provides significant benefits for query performance: ► Partitioning enhances the ability of queries to execute in parallel, thus reducing overall elapsed time. ► When users specify a restriction based upon time, then SAP BI generates predicates against the partition limit keys to allow partition elimination. Partition elimination is the process of DB2 avoiding access to unnecessary partitions regardless of the E- fact table index used or whether a tablespace scan is used on the E- fact table. This has the benefit of allowing time-based filtering (at the partition level) to be combined with filtering from another dimension without requiring index ANDing or a Cartesian product of multiple dimensions before the E- fact table. 88 Best Practices for SAP BI using DB2 9 for z/OS
► Partitioning enables fast deletion when you are able to drop a particular partition. ► Query performance is enhanced when partitioning is used in conjunction with partition pruning. Either or both partition elimination and parallelism act as a safety net to limit the negative effects of a poor access path choice. Thus, partitioning the E- fact table generally provides better overall query performance and stability. Important: SAP Note 1008833 states that “You cannot transport repartitioning, because inconsistencies may occur in the target system. You must therefore execute repartitioning separately in each system of the system landscape with identical parameters before you can transport the InfoCube.” 6.3 Remodeling InfoProviders With old versions of SAP BW we were unable to change the structure of the InfoProviders without deleting the data first. Remodeling InfoProviders entails changing the structure of InfoCubes that already contain data, without losing any of your data and without having to rebuild the InfoCube. The remodeling tool is available in SAP BI 7.0 as of BI support package 8. For one to be able to transport the remodeling rules from one system to another within the system landscape, you need be on SAP BI 7.0 Support Package 9. Refer to SAP Note 948798. You may want to remodel an InfoCube when there has been a change in the company, that is, organizational changes. You may also want to remodel an InfoCube when you need to replace one InfoOject with another. Finally, you may want to remodel an InfoCube when the InfoObject characteristic/key is no longer required due to changed business processes or other reasons. Important - You need to do the following before you start with your remodeling process: 1. Verify that the system has been successfully backed up. 2. Stop all process chains that are scheduled to run that impact/access the InfoProvider that you will be remodeling. Chapter 6. Best practices for InfoCubes 89
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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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Page 64 and 65: Often the single-value based freque
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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
Page 78 and 79: After the source system, the DataSo
Page 80 and 81: Note the available tabs (registers)
Page 82 and 83: Figure 5-8 shows the provided optio
Page 84 and 85: Figure 5-10 shows the following:
Page 86 and 87: The PSA table name is created autom
Page 88 and 89: 5.1.4 PSA partitioning Partitioning
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Page 92 and 93: An InfoCube, whether data target or
Page 94 and 95: 6.1 Types of InfoCubes Data targets
Page 96 and 97: After selecting at least one time d
Page 98 and 99: 6.2.1 Repartitioning implementation
Page 100 and 101: You will then be presented with a w
Page 102 and 103: From within the monitor you are abl
Page 104 and 105: Once your repartitioning process is
Page 108 and 109: When you remodel an InfoProvider yo
Page 110 and 111: Figure 6-17 demonstrates how you wo
Page 112 and 113: At this step of the process you are
Page 114 and 115: 6.3.2 Benefits of remodeling InfoPr
Page 116 and 117: 6.4.3 Cumulative data versus non-cu
Page 118 and 119: Important: After the initial compre
Page 120 and 121: ► Use DPSIs for the cube’s E- f
Page 122 and 123: 7.1 Differences between DataStore a
Page 124 and 125: Figure 7-1 shows the initial status
Page 126 and 127: 4. By selecting the Create button,
Page 128 and 129: Partitioning and clustering are bot
Page 130 and 131: 7.4.2 Choosing and changing the clu
Page 132 and 133: 7.4.4 Partitioning a DataStore obje
Page 134 and 135: From the ABAP Dictionary: Utility f
Page 136 and 137: Figure 7-9 DB2/390 Storage Attribut
Page 138 and 139: partitioning was used. The CREATE T
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Page 144 and 145: | "/BIC/DIVISION" VARGRAPHIC (00000
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Page 154 and 155: 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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