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QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting

Summary: QueryBooster: middleware for human-centered SQL rewriting in black-box app+DB stacks using an expressive VarSQL rule language or example-based intents. Generalizes examples into rewrite rules, suggests candidates, and demonstrates notable end-to-end performance gains in user studies and workloads. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13321
Venue
VLDB
Year
2023
Pagerank
6.4486671e-05
Overall Rank
4,909 | 66.33%
DOI
10.14778/3611479.3611497

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bai_vldb23,
        title = {{QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting}},
        author = {Bai, Qiushi and Alsudais, Sadeem and Li, Chen},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {11},
        pages = {2911--2924},
        doi = {10.14778/3611479.3611497},
        url = {https://doi.org/10.14778/3611479.3611497},
        year = {2023}
}

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