Database Tuning: principles, experiments, and troubleshooting techniques

Summary: Principled, experimentally-based study of database tuning; moves beyond ad hoc index choices to systematic methodology. Reports lessons from a tuning book project, with public source code and practical troubleshooting techniques for researchers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3413
Venue: SIGMOD
Year: 2002
Pagerank: -
Overall Rank: 13,771 | 4.20%
DOI: -

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Authors

1. Dennis Shasha
2. Philippe Bonnet

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