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

More documents

Recommendations

Info

► Use DPSIs for the cube’s E- fact table. With DPSIs the inserts into the smaller local index tree is faster (SAP note 917568). 102 Best Practices for SAP BI using DB2 9 for z/OS
7 Chapter 7. Best practices for DataStore In this chapter we discuss the best practices for optimizing SAP BI DataStore performance on a DB2 9 for z/OS platform. The DataStore is the new name as of SAP NetWeaver BI 2005 for the Operational Data Sore (ODS). This chapter describes the following: ► Differences between DataStore and ODS ► Types of DataStores ► Performance aspects of DataStore query performance: – Indexing – Clustering – Partitioning © Copyright IBM Corp. 2005, 2007, 2008. All rights reserved. 103
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 36 and 37:
If you specify a partitioning schem
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
Page 52 and 53:
34 Best Practices for SAP BI using
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
Page 62 and 63:
DSNU610I -DB2T 081 16:36:03.85 DSNU
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
Page 72 and 73: There is a separate IBM Redbooks pu
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
Page 84 and 85: Figure 5-10 shows the following:
Page 86 and 87: The PSA table name is created autom
Page 88 and 89: 5.1.4 PSA partitioning Partitioning
Page 90 and 91: 72 Best Practices for SAP BI using
Page 92 and 93: An InfoCube, whether data target or
Page 94 and 95: 6.1 Types of InfoCubes Data targets
Page 96 and 97: After selecting at least one time d
Page 98 and 99: 6.2.1 Repartitioning implementation
Page 100 and 101: You will then be presented with a w
Page 102 and 103: From within the monitor you are abl
Page 104 and 105: Once your repartitioning process is
Page 106 and 107: Figure 6-14 is displayed once you h
Page 108 and 109: When you remodel an InfoProvider yo
Page 110 and 111: Figure 6-17 demonstrates how you wo
Page 112 and 113: At this step of the process you are
Page 114 and 115: 6.3.2 Benefits of remodeling InfoPr
Page 116 and 117: 6.4.3 Cumulative data versus non-cu
Page 118 and 119: Important: After the initial compre
Page 122 and 123: 7.1 Differences between DataStore a
Page 124 and 125: Figure 7-1 shows the initial status
Page 126 and 127: 4. By selecting the Create button,
Page 128 and 129: Partitioning and clustering are bot
Page 130 and 131: 7.4.2 Choosing and changing the clu
Page 132 and 133: 7.4.4 Partitioning a DataStore obje
Page 134 and 135: From the ABAP Dictionary: Utility f
Page 136 and 137: Figure 7-9 DB2/390 Storage Attribut
Page 138 and 139: partitioning was used. The CREATE T
Page 140 and 141: , "/BIC/RECORDMODE" POSITION( 00289
Page 142 and 143: Upon completion of the job, you wil
Page 144 and 145: | "/BIC/DIVISION" VARGRAPHIC (00000
Page 146 and 147: | sql: | DELETE FROM DDSTORAGE | WH
Page 148 and 149: | "/BIC/CRMEM_VAL" DECIMAL (000017,
Page 150 and 151: | DDL time(___8): .........4 millis
Page 152 and 153: 134 Best Practices for SAP BI using
Page 154 and 155: 8.1 Troubleshooting general system
Page 156 and 157: You need to ascertain: ► Which us
Page 158 and 159: Further information about the subje
Page 160 and 161: 8.2 Analyzing load performance In t
Page 162 and 163: We use transaction ST03 → Expert
Page 164 and 165: Click the Details tab of the RSMO w
Page 166 and 167: Select the component of interest to
Page 168 and 169: Figure 8-11 All statistical records
Page 170 and 171:
Figure 8-13 Single statistical reco
Page 172 and 173:
Loading from a flat file You can av
Page 174 and 175:
and right-click to select the Simul
Page 176 and 177:
Note: You must activate the saving
Page 178 and 179:
5. In the right-hand panel of the w
Page 180 and 181:
If your query has long run times th
Page 182 and 183:
that the query runs against → Mai
Page 184 and 185:
If the main component of query perf
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
Page 212 and 213:
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 244 and 245:
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
Page 252 and 253:
the chassis for blade-to-blade conn
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 272 and 273:
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
Page 294 and 295:
Figure 12-11 shows the steps that o
Page 296 and 297:
Figure 12-12 on page 279 shows the
Page 298 and 299:
The content, depicted in Figure 12-
Page 300 and 301:
considerably more data records are
Page 302 and 303:
The nodes stand for data sources, t
Page 304 and 305:
values, hierarchies, hierarchy node
Page 306 and 307:
BI SAP Query Connector A resource a
Page 308 and 309:
Business Intelligence Cockpit Web-b
Page 310 and 311:
processors in terms of macros that
Page 312 and 313:
Crystal Reports Designer Design com
Page 314 and 315:
Similar to the OLAP-standard term c
Page 316 and 317:
P table Master data table for time-
Page 318 and 319:
The process instance contains the m
Page 320 and 321:
Relational Query Model An abstracti
Page 322 and 323:
SAP Business Information Warehouse
Page 324 and 325:
source object element Component of
Page 326 and 327:
elements to be displayed in the Web
Page 328 and 329:
Web application object catalog Web
Page 330 and 331:
You insert one or more queries in t
Page 332 and 333:
Page 334 and 335:
IT scenario The environment we used
Page 336 and 337:
Checks under z/OS and DB2 We recomm
Page 338 and 339:
To check that the SAPCL procedure w
Page 340 and 341:
List of SAP BW OSS Notes Table C-1
Page 342 and 343:
SAP BI on DB2 for z/OS 390016 BW Da
Page 344 and 345:
Network configuration: static multi
Page 346 and 347:
START CU091060 START CU0A1070 START
Page 348 and 349:
Table name Average row length Total
Page 350 and 351:
Table name Average row length Total
Page 352 and 353:
Parameters BPK16K0 BPK16K1 VIRTUAL
Page 354 and 355:
drwxr-xr-x 3 t11adm sapsys 2048 200
Page 356 and 357:
Example D-6 shows a cube index crea
Page 358 and 359:
B49/S_RTNSVAL 24 DECIMAL 17 2 N 4 N
Page 360 and 361:
-rw-r--r-- 1 t11adm sapsys 2084482
Page 362 and 363:
-rw-r--r-- 1 t11adm sapsys 547449 2
Page 364 and 365:
Page 366 and 367:
Online resources These Web sites ar
Page 368 and 369:
Help from SAP SAP Support and downl
Page 370 and 371:
C Candidates for partiioning Data W
Page 372 and 373:
M master data 155, 211, 258, 277 si
Page 374 and 375:
star schema 265-266 also see InfoCu
Page 376:
Best Practices for SAP BI using DB2
show all

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

Create successful ePaper yourself

Delete template?

Save as template?