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

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6.1 Types of InfoCubes Data targets are objects that store data physically. Some InfoCubes are data targets. These are physical data stores. Other InfoCubes are not data targets, because there is no data physically stored in them. InfoCubes that are not data targets are VirtualProviders. We look at these types in more detail. 6.1.1 Physical data stores (data targets) 6.1.2 VirtualProviders InfoCubes that are physical data stores actually store the data physically and can be either basic InfoCubes or real-time InfoCubes. Basic InfoCubes Basic InfoCubes store data physically. There are two fact tables per InfoCube: E and F. Data initially gets loaded into the F table. During SAP compression, this will be moved to the E- fact table. Real-time InfoCubes These InfoCubes are both readable and writable, supporting parallel write access. Real-time InfoCubes are used for BI-BPS planning data. Standard InfoCubes can be converted to real-time InfoCubes if so required. Real-time InfoCubes store data physically in two ways: by the transaction used for entering planning data and by using the BI staging. Converting a standard InfoCube to a real-time InfoCube is used when the data in the standard InfoCube is no longer required. When the data in the InfoCube is required we then convert the standard InfoCube to a real-time InfoCube by using the process to convert a standard InfoCube to a real-time InfoCube. The virtual providers are: ► RemoteCube A RemoteCube is an InfoCube whose transaction data is not managed in the business warehouse, but rather externally. Only the structure of the RemoteCube is defined in BI. The data is read for reporting using a BAPI® from another system. 76 Best Practices for SAP BI using DB2 9 for z/OS
► SAP RemoteCube In an SAP RemoteCube, data is stored in another SAP system. ► Virtual InfoCube with services A virtual InfoCube with services is an InfoCube that does not have its own physical data source. The properties of the data source can be defined more precisely using a number of options. Depending on these properties, the data partitioning of the E- fact table can be defined while creating InfoCubes. To do this, select RSA1 → Create InfoCube (see Figure 6-3). Figure 6-3 Create InfoCube Specify the name of the InfoCube you would like to create and click the Create button at the bottom of the window. Define the cube with dimensions, key figures, and characteristics. Chapter 6. Best practices for InfoCubes 77
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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
Page 44 and 45: Figure 2-14 shows how the snowflake
Page 46 and 47: ► Realignment This refers to the
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 66 and 67: Several things worth noting are:
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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
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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 106 and 107: Figure 6-14 is displayed once you h
Page 108 and 109: When you remodel an InfoProvider yo
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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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| "/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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