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

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5.1 Load PSA In this section we discuss the best practices for SAP BI on DB2 9 for z/OS for loading data into the PSA as part of the regular data loads into the SAP BI system. We discuss techniques that can be employed to ensure that the PSA is managed efficiently. We also discuss techniques that will optimize data loading into the PSA as part of the data load into the SAP BI data targets. The source systems store logically dependent data in the form of DataSources. Using the DataSources, the data is extracted and transferred to the SAP BI system. In an SAP BI system, the PSA is used as the input storage, which stores the data in unchanged form. This means that if the data in the source system is not consistent or contains errors, the data in the PSA is not error free. The basic role of the PSA is to provide a quality check of the input data coming from the source system. Another role of the PSA is to separate the loading process into SAP BI from the follow-on processes like data analysis and queries. Based on this separation, the loading performance can be tuned independently from other SAP BI activities. The usage of the PSA for loading into the SAP BI system is optional, but SAP strongly recommends it from the SAP BI point of view. For the SAP BI 7.0 Data Update, SAP BI provides the following processing options: ► Only PSAData is just written to the PSA and is not transferred or updated to additional data targets (for example, InfoCube, DSO). Defining the maximum number of processes in the source system influences the target system processes as well and improves the load performance. ► PSA and then data targets Each data package is written to the PSA. The same process writes the data package to the data target after the PSA is updated successfully. Updating the data is provided serially, packet by packet. ► PSA and data targets in parallel If the data package is successfully loaded into the PSA, a second process writes the data into the data targets, while the other data package, if any, is being loaded to PSA. 56 Best Practices for SAP BI using DB2 9 for z/OS
Figure 5-1 illustrates the data update types. Figure 5-1 BI update types Independent of the DB2 functions and tuning options, the data update types impact the SAP BI load performance and run time. Note: Depending on the operation management processes and the business requirements, the following points should be considered: ► Control of the processes (best in PSA and then data targets) ► Data security (best in Only PSA or PSA and then data targets) ► Load performance (best in Only PSA or in PSA and data targets parallel) With SAP BI 7.0, the data load from the PSA into the InfoProvider is done by a DTP. Chapter 5. Best practices for PSA 57
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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
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
Page 44 and 45: Figure 2-14 shows how the snowflake
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Page 48 and 49: 3.1 Base recommendations - SAP BI i
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Page 54 and 55: 4.1 Dynamic index ANDing for star s
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Page 76 and 77: 5.1.1 Load PSA To load data into th
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Page 92 and 93: An InfoCube, whether data target or
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Page 96 and 97: After selecting at least one time d
Page 98 and 99: 6.2.1 Repartitioning implementation
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Page 102 and 103: From within the monitor you are abl
Page 104 and 105: Once your repartitioning process is
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Page 114 and 115: 6.3.2 Benefits of remodeling InfoPr
Page 116 and 117: 6.4.3 Cumulative data versus non-cu
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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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134 Best Practices for SAP BI using
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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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