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

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M master data 155, 211, 258, 277 single documents 305 master data table 267 maximum number 56, 153 Meta Object Facility (MOF) 292 MTF 5 Multidimensional models 257 Multiple LPARs 6 MultiProvider defined 27 multiprovider 27, 256, 262 N navigation attribute 269, 283 modified version 272 New features and functions of SAP BI 7.x 26 O Object Log 119 Object Management Group (OMG) 292 object version (OBJEVERS) 298 ODS - see Operational Data Store ODS object 74, 109, 132–133, 219, 258–259, 274 multiple layers 274 query performance 112 relevant fields 274 typical queries 132 ODS query performance 133 OLAP data source 282 OLAP Engine 162, 278 OLAP reporting 286 BEx Query Designer 286 OLE DB interface 282 OMG homepage 292 current CWM specification 292 current XMI specifications 313 Online Analytical Processing (OLAP) 259, 290 Online Transaction Processing (OLTP) 259 only, the decisions should (ODS) 143, 204 Operational Data Store 273 ODS object 256, 259, 262, 273 Operational data store 257 Operational data store (ODS) 56, 259 OSS note 354 Best Practices for SAP BI using DB2 9 for z/OS 130696 160 633075 170 633832 163 P Package id 28, 97, 257, 273 Compression results 28, 97, 257 Parallel Sysplex 5 Parameter/tabrec changing online ST03 153 Partition elimination definition 88 partition elimination 88, 110, 224 partition rotation 69 partitioned E fact table time restriction 224 Partitioning why 15 Partitioning Key 110 leading column 113 Partitioning of PSA Tables 19 Partitioning the F fact table 18 Peer-to-peer remote copy (PPRC) 7 Performance extraction takes the most elapsed time 153 Loading from a flat file 154 Loading from an R/3 system 154 partitioning the F fact table. 18 Transfer time takes the most elapsed time 155 upload (update) to a PSA takes the most elapsed time 155 performance problem 29, 136, 141–142, 153, 174 reliable indicator 174 Persistent Staging Area (PSA) 56, 258, 261, 298 Physical data stores 76 planning level 298 complete data selection 298 planning package 298 pre-summarized data 162 Principles of processing dynamic index ANDing for pre-fact table access 38 process chain 55, 138, 143, 284 RSPC graphical view 156 Processing RUNSTATS for BI tables 40 PSA defined 10 PSA - see Persistent Staging Area
PSA record 267 attribute values 267 key figures 268 PSA Table Name 68, 71 partition 155 Q Query Designer 278 Query performance indicators RSDDSTAT 4 query performance 3, 88, 96, 109, 132, 157, 219, 266 degradation 113 main component 166 significant benefits 88 query time 99 query view 283 R R/3 system 143, 260 general performance 154 memory resources 154 slow network 154 Range partitioning 78 Range partitioning for E-Fact tables 17 Range partitioning of Fact tables 17 Realignment defined 28 Redbooks focus decisions concerning SAP on System z 3 performance problem 3 Redbooks Web site 348 Contact us xv Remote Function Call (RFC) 279 RemoteCube 262, 302 response time 139, 151, 158 detailed breakdown 162 major component 160 major components 160 QDBTIME component 162 road map 137 Roadmap for analyzing performance issues 141 Roll-up defined 27 roll-up 271 RS_BW_POST_MIGRATION 20 L_PSAVER (PSA version) 20 RSRT transaction 166 RTF33363533353a204361707469 242 RTF35333235393a204361707469 232 RTF39393332333a204361707469 230 rule of thumb (ROT) 162 S sample JCL 114 SAP BI Product overview 2 Advanced Analytics 2 Advanced analytics 2 Business content 2 Mobile business intelligence 2 SAP BI snowflake 37 SAP Business Information Warehouse Administrator Workbench 278 business content 279 Business Explorer 259, 278 data flow 260 OLAP engine 278 Staging Engine 278 SAP compression defined 28 SAP system logs SM21 138 SAP_BWTOOLPGM_DB2 13 Secondary Index 105, 107, 112, 156, 219 self-contained dataset 74 Service Provider Interface (SPI) 305 SID combination 268 Simple Object Access Protocol (SOAP) 288 SM37 job log 156 source system 56, 153, 259, 292 business client 58 data transfer 305 extract structure 308 resource problem 154 work processes 154 SPOF 5 SQL access path (SAP) 29, 173 SQL efficiency 27, 74, 256 defined 27 SQL statement 154, 174, 205, 212, 278 Stabilizing data warehouse query performance 36 Staging Engine 278 Standard ODS 104 Index 355
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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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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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Page 334 and 335: IT scenario The environment we used
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Page 348 and 349: Table name Average row length Total
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Page 352 and 353: Parameters BPK16K0 BPK16K1 VIRTUAL
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Page 370 and 371: C Candidates for partiioning Data W
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Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

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