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

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If you specify a partitioning schema for the E- fact table when you define an InfoCube, the E- fact tables of all aggregates defined for this InfoCube are also partitioned according to this schema. However, that partitioning often does not make sense, especially in the case of small aggregates. � Partitioning of F-Fact table • Partitioned by request (DIMID of Requestnumber) • BW 3.x (new) since SP30 / SP24 / SP16 for (3.0 / 3.1 / 3.5) • by setting RSADMIN parameter DB2_PARTITIONED_F_FACT and DB2_AGGR_PARTITIONED_F_FACT as desired. (note #917568) for all cubes (recommended): DB2_PARTITIONED_F_FACT = X for all aggregates: DB2_AGGR_PARTITIONED_F_FACT = X Or only for certain cubes or aggregates: DB2_PARTITIONED_F_FACT_1 = CUBE2 DB2_AGGR_PARTITIONED_F_FACT_2 = 100123 DB2_AGGR_PARTITIONED_F_FACT_3 = CUBE2 • No manual repartitioning necessary – Will be done at compression time, when the F-facttable becomes empty after compression of all requests Figure 2-7 E- fact table partitioning The performance can improve in some areas by partitioning the F- fact table. In particular, requests can be deleted significantly faster. In addition, you can restrict the update of database statistics to partitions whose contents have actually changed. The performance of queries also increases because access to partitions can be restricted with relevant data and parallel processing can be used efficiently. If an F- fact table is partitioned, it has a dedicated partition for each request (that is, for each package dimension ID). If a package dimension ID that does not yet have a partition is created during the update into the InfoCube, a new partition is created by the ADD PARTITION SQL statement. The limit of this new partition is the package dimension ID. After a request is deleted, a check is carried out on all partitions that exist before the partition with the request to be deleted to see whether they are empty. If this is the case, these partitions are moved to the end of the E- fact table by the 18 Best Practices for SAP BI using DB2 9 for z/OS
ROTATE SQL statement. This defines the partition limits in such a way that they are one size greater in each case than the limit of the preceding partition. These partitions are used during the next update into the InfoCube. As a result of this procedure, the F- fact table generally has more partitions than requests. To ensure that the number of partitions does not become too large, a check is carried out when the contents of the F- fact table are completely deleted to see whether this fact table has 25 or more partitions. If this is the case, the table is deleted and created again with one partition only. You can overwrite the threshold value of 25 using the DB2_FFACT_DROP_DEL_NUM_PARTS parameter in Table RSADMIN. 2.3.3 Partitioning of PSA tables This section is about partitioned PSA tables. Partitioning in principal subdivides big data clusters into more and smaller ones. The benefits of partitioned PSA tables are faster loading and also faster deleting data as permanently needed in volatile tables. Not to expand the number of partitions more than necessary, there exists the rotating principle of partitioned tables, shown in Figure 2-8. � Partitioned by logical number PARTNO by default with DB2 V8 RSADMIN settings are no longer needed � Use ABAP report Z_MIGRATE_PSA_TABLES_DB2 (SAP note 986202) for migrating from V7 to V8 partitioning � Standard load with DB2 V8: – Data packages are loaded into the current partition – If the current partition is full, either the next partition becomes current if any exists, or a new partition is added and becomes the current. � Fast deletion with ROTATE – A data package is logical flagged as ´deleted´ first – The first partition is ROTATEd if all related data packages are flagged as ´deleted´ deleted deleted deleted deleted Figure 2-8 Partitioning of PSA tables ROTATE Part 1 Part 2 Part 3 Part 1 Chapter 2. Overview of SAP BI and related data 19
Page 1: Best Practices for SAP BI using DB2
Page 4 and 5: Note: Before using this information
Page 6 and 7: 4.4 Extended sparse index and in-me
Page 8 and 9: 11.3 SAP BI database and InfoCube l
Page 10 and 11: viii Best Practices for SAP BI usin
Page 12 and 13: Trademarks The following terms are
Page 14 and 15: The team that wrote this IBM Redboo
Page 16 and 17: Thanks to these authors from the Pr
Page 18 and 19: ► Send your comments in an e-mail
Page 20 and 21: 1.1 Product overview The business w
Page 22 and 23: In general, database administrators
Page 24 and 25: ► Horizontal growth is achieved b
Page 26 and 27: 8 Best Practices for SAP BI using D
Page 28 and 29: 2.1 BI architecture Figure 2-1 show
Page 30 and 31: New term Old term Analysis authoriz
Page 32 and 33: negative values means missing stati
Page 34 and 35: - When calculating database statist
Page 38 and 39: Important: Never partition a PSA ta
Page 40 and 41: Figure 2-10 DPSIs versus NPSIs Figu
Page 42 and 43: 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
Page 50 and 51: the F- fact table, the E- fact tabl
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Page 54 and 55: 4.1 Dynamic index ANDing for star s
Page 56 and 57: Figure 4-2 and Figure 4-3 on page 3
Page 58 and 59: 4.2.1 Processing RUNSTATS for BI ta
Page 60 and 61: RUNSTATS will then be called over t
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Page 64 and 65: Often the single-value based freque
Page 66 and 67: Several things worth noting are:
Page 68 and 69: The unit of a value specified to MX
Page 70 and 71: condition, generated by SAP BI upon
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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
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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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72 Best Practices for SAP BI using
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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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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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