Articles & Content
Topic: DB2 for LUW
DATE: 2007-5-9 (09:50 AM - 10:50 AM)
SPEAKERS: Adam Storm (IBM Toronto Lab)
When tuning database memory parameters online, care is required to avoid undesirable behaviour. This talk discusses DB2ís memory model and the internal mechanisms involved in online memory tuning. We then illustrate how reckless online tuning can cause plan changes, catalog table contention and reduced throughput. Finally we outline some techniques which will avoid unexpected and undesired behaviour when tuning online.
EXP. LEVEL: Intermediate,Advanced
Learn about DB2 UDB database memory model in Viper and Python
Memory parameters that can be tuned online
What happens inside DB2 when a memory parameter is updated
How online memory tuning can cause strange behavior and how to diagnose it
Techniques for safer online memory tuning
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