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)
Incoming Non-self Citations Over Time
Authors
- 1. Qiushi Bai (University of California Irvine)
- 2. Sadeem Alsudais (University of California Irvine)
- 3. Chen Li (University of California Irvine)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,039 | LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency | 2025 | VLDB | 9.1493268e-05 |
| 4,385 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB | 6.6235293e-05 |
| 5,149 | LLM for Data Management | 2024 | VLDB | 6.2551644e-05 |
| 10,359 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR | 4.9793485e-05 |
| 10,436 | Dialect-Agnostic SQL Parsing via LLM-Based Segmentation | 2026 | SIGMOD | 4.9793485e-05 |
| 10,832 | ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling | 2026 | VLDB | 4.9793485e-05 |
| 10,951 | QueryBrew: System-Agnostic SQL-to-SQL Query Optimization | 2026 | VLDB | 4.9793485e-05 |
| 11,375 | GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB | 2025 | VLDB | 4.9793485e-05 |
| 11,798 | Demo of QueryBooster: Supporting Middleware-Based SQL Query Rewriting as a Service | 2023 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,158 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD |
| 2 | 4,385 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB |
| 3 | 10,971 | Verified LLM-Based Query Rewriting for Microsoft SQL Server | 2026 | VLDB |
| 4 | 109 | Extensible/Rule Based Query Rewrite Optimization in Starburst | 1992 | SIGMOD |
| 5 | 630 | A Rule-Based View of Query Optimization | 1987 | SIGMOD |
| 6 | 8,622 | A Learned Query Rewrite System | 2023 | VLDB |
| 7 | 3,336 | GenRewrite: Query Rewriting via Large Language Models | 2026 | SIGMOD |
| 8 | 2,039 | LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency | 2025 | VLDB |
| 9 | 10,359 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR |
| 10 | 11,798 | Demo of QueryBooster: Supporting Middleware-Based SQL Query Rewriting as a Service | 2023 | VLDB |