GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB
Summary: GRewriter adds a bolt-on, per-query rewrite engine to GaussDB, decoupling rules via G-DSL and automatic offline discovery of formally verified transformations. Rule indexing and history caching keep overhead below 1%, while 100+ rules cut production latency by up to 99.9%. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Zhe Jiang (Shanghai Jiao Tong University)
- 2. Zhaoguo Wang (Shanghai Jiao Tong University)
- 3. Haoning Lan (Shanghai Jiao Tong University)
- 4. Chuzhe Tang (Shanghai Jiao Tong University)
- 5. Haoran Ding (Shanghai Jiao Tong University)
- 6. Lefeng Wang (Shanghai Jiao Tong University)
- 7. Songyun Zou (Shanghai Jiao Tong University)
- 8. Zhuoran Wei (Shanghai Jiao Tong University)
- 9. Yongcun Liu (Huawei Technologies Co.)
- 10. Xiang Yu (Huawei Technologies Co.)
- 11. Yang Ren (Huawei Technologies Co.)
- 12. Guoliang Li (Tsinghua University)
- 13. Haibo Chen (Shanghai Jiao Tong University)
BibTeX Citation
@article{jiang_vldb25,
title = {{GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB}},
author = {Jiang, Zhe and Wang, Zhaoguo and Lan, Haoning and Tang, Chuzhe and Ding, Haoran and Wang, Lefeng and Zou, Songyun and Wei, Zhuoran and Liu, Yongcun and Yu, Xiang and Ren, Yang and Li, Guoliang and Chen, Haibo},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {4991--5003},
doi = {10.14778/3750601.3750622},
url = {https://doi.org/10.14778/3750601.3750622},
year = {2025}
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