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

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B49/S_RTNSVAL 24 DECIMAL 17 2 N 4 N -1 /B49/S_RTNS_ITEM 25 DECIMAL 17 3 N 4 N -1 /BIC/AMOUNT01 26 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT02 27 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT03 28 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT04 29 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT05 30 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT06 31 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT07 32 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT08 33 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT09 34 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT10 35 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT11 36 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT12 37 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT13 38 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT14 39 DECIMAL 17 2 N 4 N -1 /BIC/AMOUNT15 40 DECIMAL 17 2 N 4 N -1 /BIC/COUNTER01 41 INTEGER 4 0 N 4 N -1 /BIC/COUNTER02 42 INTEGER 4 0 N 4 N -1 /BIC/COUNTER03 43 INTEGER 4 0 N 4 N -1 /BIC/COUNTER04 44 INTEGER 4 0 N 4 N -1 /BIC/COUNTER05 45 INTEGER 4 0 N 4 N -1 /BIC/COUNTER06 46 INTEGER 4 0 N 4 N -1 /BIC/COUNTER07 47 INTEGER 4 0 N 4 N -1 /BIC/COUNTER08 48 INTEGER 4 0 N 4 N -1 /BIC/COUNTER09 49 INTEGER 4 0 N 4 N -1 /BIC/COUNTER10 50 INTEGER 4 0 N 4 N -1 /BIC/COUNTER11 51 INTEGER 4 0 N 4 N -1 /BIC/COUNTER12 52 INTEGER 4 0 N 4 N -1 /BIC/COUNTER13 53 INTEGER 4 0 N 4 N -1 /BIC/COUNTER14 54 INTEGER 4 0 N 4 N -1 /BIC/COUNTER15 55 INTEGER 4 0 N 4 N -1 /BIC/NUMBER01 56 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER02 57 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER03 58 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER04 59 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER05 60 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER06 61 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER07 62 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER08 63 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER09 64 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER10 65 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER11 66 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER12 67 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER13 68 DECIMAL 17 3 N 4 N -1 340 Best Practices for SAP BI using DB2 9 for z/OS
BIC/NUMBER14 69 DECIMAL 17 3 N 4 N -1 /BIC/NUMBER15 70 DECIMAL 17 3 N 4 N -1 /BIC/QUAN01 71 DECIMAL 17 3 N 4 N -1 /BIC/QUAN02 72 DECIMAL 17 3 N 4 N -1 /BIC/QUAN03 73 DECIMAL 17 3 N 4 N -1 /BIC/QUAN04 74 DECIMAL 17 3 N 4 N -1 /BIC/QUAN05 75 DECIMAL 17 3 N 4 N -1 /BIC/QUAN06 76 DECIMAL 17 3 N 4 N -1 /BIC/QUAN07 77 DECIMAL 17 3 N 4 N -1 /BIC/QUAN08 78 DECIMAL 17 3 N 4 N -1 /BIC/QUAN09 79 DECIMAL 17 3 N 4 N -1 /BIC/QUAN10 80 DECIMAL 17 3 N 4 N -1 /BIC/QUAN11 81 DECIMAL 17 3 N 4 N -1 /BIC/QUAN12 82 DECIMAL 17 3 N 4 N -1 /BIC/QUAN13 83 DECIMAL 17 3 N 4 N -1 /BIC/QUAN14 84 DECIMAL 17 3 N 4 N -1 /BIC/QUAN15 85 DECIMAL 17 3 N 4 N -1 Example D-7 displays temporary objects of an InfoCube during the first phase of vertical decomposition. The temporary objects will be removed after persistent objects are created. Note that each *.tmpx file corresponds to a column listed earlier in Example D-5 Example D-7 Temporary objects of an indexed cube t11adm@jup001:/home/t11adm/nap_bic/fzjb_07_11~23/en> ls -al (when it is using local disk) total 193876 drwxr-xr-x 4 t11adm sapsys 4096 2007-08-02 09:33 . drwxr-xr-x 4 t11adm sapsys 4096 2007-08-02 09:32 .. drwxr-xr-x 2 t11adm sapsys 4096 2007-08-02 09:32 attributes -rw-r--r-- 1 t11adm sapsys 2007641 2007-08-02 09:44 $b49$s_crmem_cst.tmpx -rw-r--r-- 1 t11adm sapsys 2084482 2007-08-02 09:44 $b49$s_crmem_qty.tmpx -rw-r--r-- 1 t11adm sapsys 2122285 2007-08-02 09:44 $b49$s_crmem_val.tmpx -rw-r--r-- 1 t11adm sapsys 3573234 2007-08-02 09:44 $b49$s_incordcst.tmpx -rw-r--r-- 1 t11adm sapsys 2716452 2007-08-02 09:44 $b49$s_incordqty.tmpx -rw-r--r-- 1 t11adm sapsys 3573234 2007-08-02 09:44 $b49$s_incordval.tmpx -rw-r--r-- 1 t11adm sapsys 3573234 2007-08-02 09:44 $b49$s_invcd_cst.tmpx -rw-r--r-- 1 t11adm sapsys 2714842 2007-08-02 09:44 $b49$s_invcd_qty.tmpx -rw-r--r-- 1 t11adm sapsys 3555548 2007-08-02 09:44 $b49$s_invcd_val.tmpx -rw-r--r-- 1 t11adm sapsys 2057188 2007-08-02 09:44 $b49$s_opordqtyb.tmpx -rw-r--r-- 1 t11adm sapsys 2149884 2007-08-02 09:44 $b49$s_opordvals.tmpx -rw-r--r-- 1 t11adm sapsys 2799927 2007-08-02 09:44 $b49$s_ord_items.tmpx -rw-r--r-- 1 t11adm sapsys 2007641 2007-08-02 09:44 $b49$s_rtnscst.tmpx -rw-r--r-- 1 t11adm sapsys 2007689 2007-08-02 09:44 $b49$s_rtns_item.tmpx Appendix D. Project Jupiter: evaluation details 341
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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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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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Page 334 and 335: IT scenario The environment we used
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Page 340 and 341: List of SAP BW OSS Notes Table C-1
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Page 348 and 349: Table name Average row length Total
Page 350 and 351: Table name Average row length Total
Page 352 and 353: Parameters BPK16K0 BPK16K1 VIRTUAL
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Page 356 and 357: Example D-6 shows a cube index crea
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Page 362 and 363: -rw-r--r-- 1 t11adm sapsys 547449 2
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Page 366 and 367: Online resources These Web sites ar
Page 368 and 369: Help from SAP SAP Support and downl
Page 370 and 371: C Candidates for partiioning Data W
Page 372 and 373: M master data 155, 211, 258, 277 si
Page 374 and 375: star schema 265-266 also see InfoCu
Page 376: 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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