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Extensible/Rule Based Query Rewrite Optimization in Starburst

Summary: Presents Starburst's extensible Query Rewrite as a novel optimization phase with a rule-based suite yielding equivalent, faster queries. Introduces production rule engine for rule selection and execution; experiments show orders-of-magnitude speedups, underscoring Query Rewrite as essential to modern DB optimization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2628
Venue
SIGMOD
Year
1992
Pagerank
0.0003309592
Overall Rank
110 | 99.25%
DOI
10.1145/130283.130294

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pirahesh_sigmod92,
        title = {{Extensible/Rule Based Query Rewrite Optimization in Starburst}},
        author = {Pirahesh, Hamid and Hellerstein, Joseph M. and Hasan, Waqar},
        series = {{SIGMOD} '92},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/130283.130294},
        url = {https://dl.acm.org/doi/10.1145/130283.130294},
        year = {1992}
}

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