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Incorporating the principles of artificial intelligence, Oracle has
developed a sophisticated mechanism for capturing and tracking database
performance over time periods. This new complexity has introduced
dozens of new v$ and DBA views, plus dozens of Automatic Workload
Repository (AWR) tables.
The AWR and its interaction with the Automatic Database Diagnostic
Monitor (ADDM) is a revolution in database tuning. By understanding the
internal workings of the AWR tables, the senior DBA can develop
time-series tuning models to predict upcoming outages and dynamically
change the instance to accommodate the impending resource changes.
This is not a book for beginners. Targeted at the senior Oracle DBA,
this book dives deep into the internals of the v$ views, the AWR table
structures and the new DBA history views. Packed with ready-to-run
scripts, you can quickly monitor and identify the most challenging
performance issues.
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See how Oracle captures time-series performance data.
* Learn techniques for visualizing performance signatures over time.
* Use the online code depot to quickly find performance bottlenecks.
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Use
historical data to predict impending performance problems.
* Understand how to interpret complex Oracle tuning metrics.
* Create customized performance alerts using AWR information.
* See how AWR allows intelligent Oracle performance optimization.
* Learn why the Oracle wait interface and 10046 dumps may become
obsolete.
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Understand
proactive time-series Oracle tuning techniques.
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