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

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11.2.1 Hardware and software configuration DB Server 3 x DS8300 SAP BI Server Figure 11-1 gives an overview of the system configuration that we used to run our test case scenarios. IBM IBM System z9® IBM System Storage DS8300 IBM System p5 Query load driver IBM System x Figure 11-1 Jupiter environment infrastructure Jupiter Environment BI Accelerator IBM Blade Center® HS21 Intel Blades There are four major components for the test configuration: database server, SAP BI server, BI Accelerator, and query load driver. Server infrastructure hardware The server infrastrucature hardware is: ► For the database server, we used IBM System z9 Enterprise Class S38 with 32 CPs and 128 GB of main storage. ► The SAP BI server ran on IBM System p5 595, which has 64 POWER5 processors and 512 GB RAM. 230 Best Practices for SAP BI using DB2 9 for z/OS 2 x DS8300 10 x 3650 GPFS Storage node Technical Technical Specification Specification DB Server: DB Server: IBM System z9 EC S38 IBM System z9 EC S38 zOS 1.8, DB2 V9 zOS 1.8, DB2 V9 32 CPUs 32 CPUs 128 GB RAM 128 GB RAM IBM System Storage DS8300 113TB IBM System Storage DS8300 113TB SAP SAP BI BI Server: Server: IBM System p595 IBM System p595 AIX 5.3, DB2 Connect AIX 5.3, DB2 Connect SAP NetWeaver BI 7.0 SP13 SAP NetWeaver BI 7.0 SP13 64 POWER5 processors 64 POWER5 processors 512 GB RAM 512 GB RAM IBM System Storage DS8300 13TB IBM System Storage DS8300 13TB BI BI Accelerator: Accelerator: 140 IBM System x blades H21 140 IBM System x blades H21 Linux SLES9 SP3 Linux SLES9 SP3 SAP NetWeaver BIA 7.0 rev. 39 SAP NetWeaver BIA 7.0 rev. 39 GPFS 3.1.0-11 GPFS 3.1.0-11 2 WoodCrest 5160 3.0GHz 2 WoodCrest 5160 3.0GHz Dual-Core CPU Dual-Core CPU 16 GB RAM 16 GB RAM IBM System Storage DS8300 17TB IBM System Storage DS8300 17TB Query Query Load Load Driver: Driver: 5 IBM System x 335s 5 IBM System x 335s Windows 2003 Server Windows 2003 Server LoadRunner 8.1 FP4 LoadRunner 8.1 FP4 2 CPU – 2.8 GHz each 2 CPU – 2.8 GHz each 4 GB RAM 4 GB RAM
► The BI Accelerator was installed on 140 IBM HS21 blades. Each blade had two WoodCrest 5160 3.00 GHz dual-core CPUs and 16 GB RAM, for a total of about 2.2 TB RAM across all blades. Note that one backup blade was configured for every 27 blades. So our configuration consisted of 135 production and five backup blade servers. ► Five IBM System x 335 workstations with two CPUs, 2.8 GHZ, and 4 GB of RAM were used for the query load driver. ► There were six IBM System Storage DS8300 systems in this configuration. Three storage systems were attached to the System z9, one to the System p5, and two to the blades. The RAID-5 configured storage for System z was 129 TB. The RAID-5 configured storage for System p was 14 TB. The RAID-10 configured storage for the blades was 29 TB. That is the total storage before logical volumes were formatted. The capacities for these storage systems after being initialized were 113 TB, 13 TB, and 17 TB, respectively. Software Here is the list of software installed on each hardware component: ► System z9: z/OS V1.8, DB2 for z/OS V9 ► System p5: AIX 5.3, SAP Netweaver BI 7.0 SP13, DB2 Connect V9 ► Blades: Linux SLES9 SP3, SAP Netweaver BI Accelerator 7.0 rev. 39, GPFS 3.1.0-11 Chapter 11. Project Jupiter: large BI Accelerator scalability evaluation 231
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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
Page 198 and 199: Display of sql access path SQL quer
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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
Page 212 and 213: 194 Best Practices for SAP BI using
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 230 and 231: Using the InfoCube query example in
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 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
Page 280 and 281: 12.4 Information access As previous
Page 282 and 283: Predecessor Successor WW Sales Euro
Page 284 and 285: An InfoCube in SAP BI can have up t
Page 286 and 287: 12.8 Aggregates 4. The dimension ta
Page 288 and 289: The next example is an aggregate th
Page 290 and 291: For example, assume that different
Page 292 and 293: can be updated into InfoCubes or ot
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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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