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

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Using the InfoCube query example in Figure 10-8, we use the described method to break down the query and determine the requirements for indexing and statistics collection to ensure that the optimal access path is chosen. Without first breaking down and simplifying the query, it is not possible to adequately understand these requirements. Infocube Query Example SELECT "S____637" , "S____566" , "S____581" , "S____561" , "S____565", "S____574" , "1ROWCOUNT" , "Z_BQ" , "Z_CNFCST" , "Z_COMMQ" , "Z_FCBP" , "Z_FCMK" , "Z_FCSLN" , "Z_NSQ" , "Z_RBQ" FROM ( SELECT "D5"."SID_Z_DOCTYP" AS "S___637" ,"X1"."S__Z_PROTIND" AS "S____566" ,"D6"."SID_Z_FACTWK" AS "S____581" ,"X2"."S__Z_BTGRPNO" AS "S____561","X1"."S__Z_MODEL" AS "S____565" ,"X1"."S__Z_MAJCAT" AS "S____574" , COUNT( * ) AS "1ROWCOUNT" , SUM ( "F"."/BIC/Z_BQ" ) AS "Z_BQ" , SUM ("F"."/BIC/Z_CNFCST" ) AS "Z_CNFCST" , SUM ( "F"."/BIC/Z_COMMQ" ) AS "Z_COMMQ" , SUM ( "F"."/BIC/Z_FCBP" ) AS "Z_FCBP" , SUM ("F"."/BIC/Z_FCMK" ) AS "Z_FCMK" , SUM ( "F"."/BIC/Z_FCSLN" ) AS "Z_FCSLN" , SUM ( "F"."/BIC/Z_NSQ" ) AS "Z_NSQ" , SUM ("F"."/BIC/Z_RBQ" ) AS "Z_RBQ" FROM "/BIC/FZIC_SFC" "F" ,"/BIC/DZIC_SFC5" "D5" ,"/BIC/DZIC_SFC3" "D3" ,"/BIC/XZ_PRODCD" "X1" ,"/BIC/DZIC_SFC6" "D6" ,"/BIC/DZIC_SFC1" "D1" ,"/BIC/XZ_SHIPTO" "X2" ,"/BIC/DZIC_SFCP" "DP" ,"/BI0/0600000005" "Z1" WHERE "F"."KEY_ZIC_SFC5" = "D5"."DIMID" AND "F"."KEY_ZIC_SFC3" ="D3"."DIMID" AND "D3"."SID_Z_PRODCD" = "X1"."SID" AND "F"."KEY_ZIC_SFC6" = "D6"."DIMID" AND "F"."KEY_ZIC_SFC1" = "D1"."DIMID" AND "D1"."SID_Z_SHIPTO" = "X2"."SID" AND "F"."KEY_ZIC_SFCP" = "DP"."DIMID" AND "X2"."S__Z_BTGRPNO" = "Z1"."SID" AND (((( "DP"."SID_0RECORDTP" = 0 )) AND (( "DP"."SID_0REQUID"
Within the WHERE clause, we first focus on the join predicates to build the join graph, and use the local predicates in a later step to determine where the filtering occurs. See Figure 10-9. Step 1 - Join Analysis WHERE "F"."KEY_ZIC_SFC5" = "D5"."DIMID" AND "F"."KEY_ZIC_SFC3" ="D3"."DIMID" AND "D3"."SID_Z_PRODCD" = "X1"."SID" Focus on Join Predicates AND "F"."KEY_ZIC_SFC6" = "D6"."DIMID" AND "F"."KEY_ZIC_SFC1" = "D1"."DIMID" AND "D1"."SID_Z_SHIPTO" = "X2"."SID" AND "F"."KEY_ZIC_SFCP" = "DP"."DIMID" AND "X2"."S__Z_BTGRPNO" = "Z1"."SID" AND (((( "DP"."SID_0RECORDTP" = 0 )) AND (( "DP"."SID_0REQUID"
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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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Page 182 and 183: that the query runs against → Mai
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Page 186 and 187: ► Display Statistics Data (to sho
Page 188 and 189: Select the appropriate button, ente
Page 190 and 191: Figure 8-29 Statement details To ch
Page 192 and 193: The ratio (ST04 statement cache “
Page 194 and 195: Figure 8-32 Visual Explain - SQL te
Page 196 and 197: 8.5 SAP Query Analysis Tool The SAP
Page 198 and 199: Display of sql access path SQL quer
Page 200 and 201: The access path is displayed hierar
Page 202 and 203: The table information tab shown in
Page 204 and 205: DB2 Plan Table Figure 8-42 DB2 plan
Page 206 and 207: Graphical view of each query block
Page 208 and 209: Now you see the graphical view of t
Page 210 and 211: 8.5.4 Example of using the query an
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Page 214 and 215: 9.1 The BIA architecture Figure 9-1
Page 216 and 217: Figure 9-2 BIA t-shirt sizing The B
Page 218 and 219: From the hardware side, the BIA is
Page 220 and 221: 9.7 Overview The improvement of the
Page 222 and 223: 10.1 SQL efficiency for DSO Queries
Page 224 and 225: The first join predicate is "/BIC/A
Page 226 and 227: Figure 10-5 Associate local predica
Page 228 and 229: Step 3 is repeated for each master
Page 232 and 233: The first join predicate in Figure
Page 234 and 235: Thus, we have broken down the origi
Page 236 and 237: Figure 10-14 Comparing filtering Th
Page 238 and 239: AND "/BIC/AZOSASALE00"."PLANT" = "/
Page 240 and 241: Column Local or join CALMONTH Local
Page 242 and 243: 10.4 Indexing of InfoCubes The defa
Page 246 and 247: 11.1 Background To be more competit
Page 248 and 249: 11.2.1 Hardware and software config
Page 250 and 251: 11.2.2 Network infrastructure IBM S
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Page 254 and 255: As part of the pre-benchmark planni
Page 256 and 257: 11.4 Test case scenarios The goal o
Page 258 and 259: Figure 11-3 explains the data flow
Page 260 and 261: In addition, each cube, especially
Page 262 and 263: Measurement results Table 11-2 prov
Page 264 and 265: Figure 11-7 shows the average CPU u
Page 266 and 267: The number of queries per hour show
Page 268 and 269: Figure 11-10 shows that the average
Page 270 and 271: 11.5.1 Recommendations for configur
Page 274 and 275: 12.1 Terminology: BI objects and pr
Page 276 and 277: Metadata plays a fundamental role i
Page 278 and 279: 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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