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)
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Authors
- 1. Dennis Shasha (New York University)
- 2. Philippe Bonnet (University of Copenhagen)
BibTeX Citation
@inproceedings{shasha_sigmod02,
title = {{Database Tuning: principles, experiments, and troubleshooting techniques}},
author = {Shasha, Dennis and Bonnet, Philippe},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564799},
url = {https://dl.acm.org/doi/10.1145/564691.564799},
year = {2002}
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