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)
Incoming Non-self Citations Over Time
Authors
- 1. Anshuman Dutt (Microsoft)
- 2. Vivek Narasayya (Microsoft)
- 3. Surajit Chaudhuri (Microsoft)
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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