Optimizing SQL Insert Performance - GSE Belux

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Multi Row Insert (MRI) • INSERT INTO TABLE for N Rows Values (:hva1,:hva2,…) • Up to 40% CPU time reduction by avoiding SQL API overhead for each INSERT call – % improvement lower if more indexes, more columns, and/or fewer rows inserted per call • ATOMIC (default) is better from performance viewpoint as create of multiple SAVEPOINT log records can be avoided • Dramatic reduction in network traffic and response time possible in distributed environment – By avoiding message send/receive for each row – Up to 8 times faster response time and 4 times CPU time reduction 34 © 2010 IBM Corporation
DB2 9 Performance Enhancements 35 © 2010 IBM Corporation
Page 1 and 2: DB2 for z/OS Optimizing Insert Perf
Page 3 and 4: Agenda • Insert Space Search •
Page 5 and 6: Choice: Performance or Space Reuse
Page 7 and 8: Space Search Steps (Classic Partiti
Page 9 and 10: PBG search algorithm for entire tab
Page 11 and 12: Segmented Tablespace • Segmented
Page 13 and 14: Partitioned Tablespace • Use page
Page 15 and 16: Distributed Free Space • Use dist
Page 17 and 18: TRACKMOD NO • Reduces spacemap co
Page 19 and 20: MEMBER CLUSTER … • Rows inserte
Page 21 and 22: MEMBER CLUSTER, PCTFREE = 0 and FRE
Page 23 and 24: Typical Performance Bottlenecks and
Page 25 and 26: Read and Write I/O for Index and Da
Page 27 and 28: Read and Write I/O for Index and Da
Page 29 and 30: Lock/Latch and Service Task Waits
Page 31 and 32: DB2 Latch Contention • Latch Coun
Page 33: GENERATE_UNIQUE() • Built-in func
Page 37 and 38: Large Index Page Size • Available
Page 39 and 40: Increased Index Look Aside • Prio
Page 41 and 42: Randomised Index Key • Index cont
Page 43 and 44: Identifying Unreferenced Indexes
Page 45 and 46: DB2 10 Performance Enhancements 45
Page 47 and 48: V10 Enhancements ... • In-line LO
Page 49 and 50: Summary - Key Points • Decide whe

Optimizing SQL Insert Performance - GSE Belux

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