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A Learned Query Rewrite System

Summary: Uses Monte Carlo tree search plus a learned hybrid estimator to explore the NP-hard SQL rewrite/search space, adaptively applying complex rewrite rules. Implemented in Apache Calcite; outperforms heuristic-based rewrite engines on three real datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13466
Venue
VLDB
Year
2023
Pagerank
5.4229225e-05
Overall Rank
8,453 | 42.01%
DOI
10.14778/3611540.3611633

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb23,
        title = {{A Learned Query Rewrite System}},
        author = {Zhou, Xuanhe and Li, Guoliang and Wu, Jianming and Liu, Jiesi and Sun, Zhaoyan and Zhang, Xinning},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {4110--4113},
        doi = {10.14778/3611540.3611633},
        url = {https://doi.org/10.14778/3611540.3611633},
        year = {2023}
}

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