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

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1.1 Product overview The business warehouse solution from IBM and SAP can help your company collect, analyze, and distribute critical data. SAP Business Intelligence provides a full suite of end-user reporting and analysis tools, including the following: ► Advanced analytics Statistical and mathematical functions with a full range of multidimensional analysis ► Mobile business intelligence Accessible to a full range of wireless and mobile devices, providing anytime, anywhere access ► Business content Report templates and metrics, tailored for different user roles in different vertical industries This end-to-end implementation can give your business the ability to: ► Add commentaries to reports and key figures, essentially automating approval processes. ► Visually represent data analysis in a wide variety of formats including grids, graphs, charts, and maps through a unique toolset that allows for custom reporting environments. ► Analyze data from both internal and external sources, and link traditional business environments and e-business operations through data warehousing. ► Combine, view, and deliver structured information (such as database reports) and unstructured information (including e-mail), as well as internal and external data through your existing enterprise portal. Many IBM Redbooks have been published about SAP systems on IBM System z. See “Related publications” on page 347. The following subjects have been covered in these publications: ► Reliability, availability, and serviceability of SAP systems on IBM System z ► Security and integrity ► Scalability ► Continuing compatibility ► Changing workload These are beneficial subjects for business intelligence (BI) systems because SAP BI queries involve the batch processing of terabytes of data. The IBM mainframe solution is very strong in this area. 2 Best Practices for SAP BI using DB2 9 for z/OS
Furthermore, the SAP BI application is different from other SAP modules, especially regarding the use of a database. Thus, it is important to look into the performance of SAP BI with DB2 v9.1 for z/OS, as this Redbooks publication does. 1.2 The audience for this IBM Redbooks publication The goals of this book are to give an integrated view of key SAP BI and DB2 9 for z/OS performance indicators and to offer a process for using them together. The audience for this document includes both System z DB2 DBAs and SAP BI Basis Administrators responsible for administering SAP BI on System z DB2 production systems, and SAP BI functional architects responsible for designing the BI system’s InfoCubes, Aggregates, and Data Storage Objects (DSO) objects. Note: It is important that there is early cooperation between the functional designers and the technical implementation specialists. All those listed will benefit from reading this book. The SAP BI solution is not the only DB2 9 solution within a company. Most companies have different early systems running on System z. For the IBM mainframe infrastructure, a support organization exists within the company. Most groups tend to work independently from each other. With SAP BI on System z, as with other SAP solutions on the IBM mainframe, you must communicate with all groups that are responsible for the operation of the SAP solution. Ideally there should be a person in your organization who bridges the gap between the different support groups — the user acceptance and performance of your SAP solution will benefit. The focus of this IBM Redbooks publication is on performance problems: how to avoid them, how to troubleshoot performance problems that cannot be avoided, and how to solve the problems once identified. Most performance problems can be avoided if foresight is used and design decisions take certain issues into consideration. This book can also be used for decisions concerning SAP on System z, as discussed in Chapter 4, “Benefits of DB2 9 for SAP BI” on page 35. Key areas we cover are load performance, query performance, performance during administration processing, and storage reduction. Chapter 1. Introduction 3
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 22 and 23: In general, database administrators
Page 24 and 25: ► Horizontal growth is achieved b
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Page 28 and 29: 2.1 BI architecture Figure 2-1 show
Page 30 and 31: New term Old term Analysis authoriz
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Page 42 and 43: Finally, Figure 2-12 explains which
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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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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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