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Optimize your workload with automatic indexing

Talkat Oracle CloudWorld 2022 · 2022-10-17..10-20· [databases]
slides:none on file

Automatic indexing in Oracle Database 19c (with enhancements toward 23c) captures real workload via the automatic SQL tuning set, generates candidate indexes and builds them as invisible indexes for background test runs, then makes only those that measurably improve query performance visible. It now considers range predicates and accounts for DML overhead, supports function-based indexes, offers table-level include/exclude controls, performs non-blocking reparses, and can drop unused or even redundant manual indexes; the decision is always driven by measured workload benefit, not cost estimates.

AI-written summary · about

  1. 0:00Start
  2. 2:35Indexes- pros and cons
  3. 7:39Index changes and the application lifecycle
  4. 9:15A traditional approach is complex
  5. 10:46Automatic indexing methodology
  6. 15:36How it works
  7. 18:29Reporting
  8. 19:01Enhancements since Oracle Database 19c
  9. 24:18Summary
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