DB2 UDB for z/OS Version 8 Performance Topics - IBM Redbooks

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Michael Parbs is a DB2 Specialist with IBM Global Services A/NZ, from Canberra, Australia. He has over 15 years experience with DB2, primarily on the OS/390® platform. Before joining IBM Global Services A/NZ he worked in the public sector in Australia, as a DBA and a DB2 Systems Programmer. Michael’s main areas of expertise are data sharing and distributed processing, but his skills include database administration and DB2 performance and tuning. Michael has co-authored the redbooks: DB2 for MVS/ESA Version 4 Data Sharing Implementation, SG24-4791, DB2 UDB Server for OS/390 and z/OS Version 7 Presentation Guide, SG24-6121, and DB2 UDB for z/OS Version 8: Everything You Ever Wanted to Know, ... and More, SG24-6079. Mary Petras is a Senior Software Engineer at the Silicon Valley Lab, where she is currently a DB2 Tools Technical Support Specialist working with DB2 Tool customers. She studied Mathematics at Pratt Institute, School of Engineering and Science, in Brooklyn, New York, and the University of Connecticut in Storrs. Her areas of expertise include DB2 data sharing and performance and tuning. Mary has previously co-authored the redbooks: DB2 UDB for OS/390 Version 6 Performance Topics, SG24-5351, and DB2 Performance Expert for z/OS Version 2, SG24-6867-01. Tsumugi Taira is a Project Leader with NIWS Co, Ltd. in Japan, a company specialized in advanced services in the Web/Server Business System Field, joint venture between IBM Japan and Nomura Research Institute. Tsumugi has six years of experience in DB2 for AIX® administration, and is currently on a one year assignment to the IBM Silicon Valley Lab, DB2 for z/OS Performance Department, where she has worked on system set up, tuning and recovery utilities. Her areas of expertise include ESS operations, Tivoli Storage Manager, fault tolerant systems, and backup and recovery solutions. Tsumugi has co-authored the recent book Disaster Recovery with DB2 UDB for z/OS, SG24-6370. Jan Vandensande is an IT consultant and teacher at Jeeves Consulting Belgium, an IBM business partner. He has over 20 years of experience in the database management field. Before joining Jeeves Consulting in 1995, Jan worked as an IMS and DB2 system administrator in the financial sector. His areas of expertise include backup and recovery, data sharing, and performance. Jan has previously co-authored the book DB2 for z/OS and OS/390 Version 7 Performance Topics, SG24-6129. A photo of the team is in Figure 1. xxvi DB2 UDB for z/OS Version 8 Performance Topics
Figure 1 Left to right: Yoshio, Tsumugi, Mary, Doracilio, Paolo, Jan and Michael Special thanks to the members of the DB2 Performance Department, Silicon Valley Lab, and their manager Catherine Cox, for providing measurements data and continued support during this project. Thanks to the following people for their contributions to this project: Rich Conway Emma Jacobs Bob Haimowitz Sangam Racherla International Technical Support Organization Jeff Berger Patrick Bossman John Campbell Gene Fuh James Guo Akiko Hoshikawa Koshy John Gopal Krishnam Ching Lee Dave Levish Chan-hua Liu Roger Miller Manvendra Mishra Todd Munk Ka C Ng Mai Nguyen Jim Pickel Terry Purcell Jim Ruddy Akira Shibamiya Don Smith Preface xxvii
Page 1: ibm.com/redbooks Front cover DB2 UD
Page 4 and 5: Note: Before using this information
Page 6 and 7: 2.5.3 Increased number of deferred
Page 8 and 9: 4.5.2 Conclusion . . . . . . . . .
Page 10 and 11: 7.4.1 ODBC Unicode support . . . .
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Page 14 and 15: 3-48 Consistency query - 31 New . .
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Page 18 and 19: 8-5 CF Request Batching - DB2 CPU .
Page 20 and 21: xviii DB2 UDB for z/OS Version 8 Pe
Page 22 and 23: Trademarks The following terms are
Page 24 and 25: Added information The following APA
Page 26 and 27: ► Added reference to June 15, 200
Page 30 and 31: Hugh Smith Jim Teng John Tobler Yoi
Page 32 and 33: xxx DB2 UDB for z/OS Version 8 Perf
Page 34 and 35: 1.1 Overview 1.1.1 Architecture IBM
Page 36 and 37: - Column data type changes can be d
Page 38 and 39: 1.1.3 Data warehouse 1.1.4 Performa
Page 40 and 41: Volatile (or cluster) tables, used
Page 42 and 43: In this chapter we anticipate the a
Page 44 and 45: 2.1.3 I/O time 2.1.4 Virtual storag
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Page 48 and 49: application that can have great pot
Page 50 and 51: Because you can significantly incre
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Page 54 and 55: 2.5.9 Unicode parser Important: Con
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Page 58 and 59: Macro Parameter Old value New value
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Page 62 and 63: ► Parallel sort enhancement Paral
Page 64 and 65: Characteristics of the host variabl
Page 66 and 67: 3.1.4 Performance Update 10 rows us
Page 68 and 69: ► Complexity of the fetch. The fi
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Page 72 and 73: 3.2.1 Creating MQTs MQTs compared t
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Figure 3-9 MQTs and short running q
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► The elapsed time is 22 times sm
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Figure 3-13 Regrouping on MQT resul
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EVE.EXT = 'ADD BILL' AND EVE.TXC =
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Star Schema Figure 3-15 Star schema
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merge joins and work file usage. DB
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Star join access path without a spa
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3.3.4 Performance Sparse index for
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V8 Star Join Access Path Figure 3-2
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3.3.5 Conclusion Star join workload
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. SELECT * FROM PAOLO.TORDER WHERE
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But not all mismatched numeric type
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V8 shows that PL is joined with CV
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Query performance problem Lack of m
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3.5.1 Performance SORTDEVT SYSDA IN
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3.5.2 Conclusions Figure 3-31 Acces
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Mismatched data types SELECT COUNT(
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3.7.1 Performance In V8 the paralle
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3.7.2 Conclusions Example 3-9 Multi
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3.8.2 Performance We show three exa
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3.8.3 Conclusion The measurements s
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100 Inserts activated trigger 100 t
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3.10.2 Conclusion 100 Inserts activ
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stores the selected columns from ea
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While there is no optimistic lockin
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FETCH FROM Figure 3-45 FETCH syntax
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► Measurement data collected with
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application has decidedly higher Cl
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Static updatable cursor You can see
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Multi-row FETCH with a static curso
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3.12.5 Conclusion Multi-row FETCH a
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While, for or SELECT ... FROM ...
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3.14.2 Conclusion Percent reduction
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3.15.1 Installation commands. Of co
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Figure 3-47 Explain of the old cons
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in ms = 1 and the CPU cost is 16 se
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Figure 3-50 Suggested RUNSTATS stat
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Looking at the explanation, we can
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The Plug-In Options screen of Stati
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Before the introduction of MQTs, DB
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126 DB2 UDB for z/OS Version 8 Perf
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► Larger VSAM CI sizes: DB2 V8 in
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4.1.1 Performance support caused al
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Regression is about 5% better than
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The results indicate no significant
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Important: 4.1.2 Conclusion If you
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However, the combined impact of oth
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Frees up space below the bar for ot
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from the hiperpools, they were not
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So, we advise you to not overalloca
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See 4.3, “Monitoring DBM1 storage
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Table 4-4 System storage configurat
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Stack 11356 21033 85% 8648 19799 12
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KB 600 500 400 300 200 100 0 Figure
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For the same buffer pool size and o
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4.2.3 Conclusion Nondistributed per
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Important: With PTFs UK04394 (DB2 V
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- DATASPACE BP CONTROL BLOCKS = 0 M
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The EXTENDED REGION SIZE (MAX) is t
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RDS OP POOL (MB) N/A RID POOL (MB)
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As you can now appreciate, it is im
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Megabytes A V7 Customer DBM1 Thread
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4.5.1 Performance The most buffer p
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4.6.1 Performance maintained in a 2
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4.6.2 Conclusion We can conclude th
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service for Unicode conversions, an
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overcome this, when DB2 Connect is
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INSERT HV1 1200 HV2 1200 SELECT HV1
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AIX C-program Conversion Routines P
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4.7.1 Performance The improvements
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In October 2003, a new enhancement
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UseServerEncoding data source prope
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4.8.1 Performance 4.8.2 Conclusion
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Multilevel security with row-level
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► The security level that defines
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DB2 must call RACF for this dominan
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4.9.2 Conclusion The CPU increase c
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4.10.1 Performance VSAM does not kn
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4.10.2 Conclusion 4.10.3 Striping A
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5 4 3 2 1 0 9109TLLB 4 Parallel DB2
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--------------------------- -------
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This message is completed with the
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This enhancement is introduced by P
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This record is activated by: -START
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an online transaction with very sim
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5.1 System level point-in-time reco
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BACKUP SYSTEM During backup DB2 rec
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Figure 5-1 FRBACKUP PREPARE elapsed
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Figure 5-4 BACKUP SYSTEM FULL measu
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5.1.2 Conclusion The BACKUP SYSTEM
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Figure 5-7 shows the sliding scale
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Maybe you have implemented a space
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For dynamically prepared queries, D
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► CHAR(8) to VARCHAR(8) ► CHAR(
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Before ALTER INDEX add column, a ta
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30 25 20 15 10 Figure 5-12 FETCH CP
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Percent of index pages Avg. Index L
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300 250 200 time in seconds 150 100
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REORG REBALANCE We executed and mea
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5.4 Volatile table 5.4.1 Conclusion
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If explicit clustering for a table
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Load table of 20M rows, 10 partitio
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Times in seconds 20 18 16 14 12 10
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RUNSTATS INDEX PARTITION of a DPSI
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Note that when the qualified partit
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► “NO” - Values in such colum
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5.6.10 Support for more than 245 se
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6.1 Online CHECK INDEX Online CHECK
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SORTOUT DD UNIT=SYSDA,SPACE=(CYL,(5
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- SORT 6 indexes in parallel - CHEC
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make DB2 take the maximum paralleli
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6.3 LOAD and UNLOAD delimited input
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6.3.2 Conclusion We measured the CP
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Options for cardinality and distrib
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► Number of column groups: 1 ►
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cases is the total time of RUNSTATS
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6.4.5 Conclusion Statistics Advisor
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goals for end-user services. We sho
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alanced across all members. With th
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method. Prior to DB2 V8 those array
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when compared to DB2 V7. At the ser
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7.2.2 Performance - Distributed cli
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Recommendation If you currently do
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► The DB2 Universal JDBC type 4 D
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WebSphere z/OS - DB2 z/OS V8 - Serv
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DB2 Universal Type 4 Driver - JDBC
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Use DB2 Connect when a high amount
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JCC Type 4 Direct 4:3 Concentration
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The SYSIBM.INDOUBT table and the pa
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Batch updates A batched update is a
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Example In DB2 V8 SQL/XML publishin
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INSERT INTO PUB_TAB(DOC) SELECT XML
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7.5.3 Conclusion The new XML publis
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A second role of the managed server
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7.6.3 Performance The following inf
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Impact on coupling facility: You do
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Table 8-1 shows extracts from DB2 P
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and secondary GBP structures have t
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DB2 member already has the table sp
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8.2.1 Performance We ran a number o
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esolve any contention. This extra a
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There is also no need to use RELEAS
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Table 8-12 DB2 I/O CI Limit Removal
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8.5 Miscellaneous items In this sec
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DB2 V8 improves Restart Light. If i
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9.1 Unicode catalog DB2 for z/OS su
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that all applications are converted
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- CLASST: Specifies the threshold a
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From these measurements we observe
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Class 1 CPU time (MSEC) 200 150 100
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dynamic statement cache. If activat
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that everything is ready. This step
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Table Number of rows SYSDATABASE 75
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In Figure 9-7 we describe the perfo
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Old - Query 5 New - Query 5 CPU (se
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Query 35 36 Old DSNTESQ CPU 1 hr 1
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10.1 DB2 Estimator DB2 Estimator V8
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- REAL AND AUXILIARY STORAGE This i
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Another use is during back out of a
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In DB2, the IBM Data Encryption too
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The utilities ran on a G7 Turbo wit
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time Figure 10-1 DB2 HPU vs. UNLOAD
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DSNTIAUL with multi-row fetch The r
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A.1 Maintenance for DB2 V8 The APAR
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APAR # Area Text PTF and Notes PQ88
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APAR # Area Text PTF and Notes PK21
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B.1 DB2 PE Storage Statistics trace
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Storage heading Description 24 BIT
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C.1 DB2 SQL PA additional reports N
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|is the last matching predicate. Ap
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|ANL6052I *** NOTE: | |This index i
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PREDICATE ANALYSIS ----------------
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D.1 DB2 EXPLAIN EXPLAIN describes t
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Table D-2 PLAN_TABLE contents and b
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Column Type Content SORTC_ORDER BY
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Column Type Content OPTHINT CHAR(8)
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D.1.3 DSN_FUNCTION_TABLE You can us
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Example: D-1 Creating DSN_STATEMENT
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Column Type Content BIND_QUALIFIER
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ICF integrated catalog facility ICF
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► DB2 UDB for z/OS V8: Through th
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character set 174 CHECK DATA 262 CH
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Equi-join predicates 54, 402 Equiva
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MINSTOR 145-146 Mismatched data typ
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PQ84160 378, 387 PQ85764 387 PQ8584
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Sort tree nodes 144 SORTDATA 268 SO
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306 Universal Driver for SQLJ and J
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DB2 UDB for z/OS Version 8 Performa
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