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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees

Summary: Plan recosting for online PQO to bound per-instance sub-optimality with low overhead and a compact plan cache. Empirically validated on industry benchmarks and real workloads with a modified MS SQL Server optimizer, beating prior online PQO. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5478
Venue
SIGMOD
Year
2017
Pagerank
6.2842378e-05
Overall Rank
5,281 | 63.77%
DOI
10.1145/3035918.3064040

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dutt_sigmod17,
        title = {{Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees}},
        author = {Dutt, Anshuman and Narasayya, Vivek and Chaudhuri, Surajit},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064040},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064040},
        year = {2017}
}

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