LEON: A New Framework for ML-Aided Query Optimization
Summary: LEON augments mature expert optimizers with deployment-specific ML rather than replacing them with RL. Pairwise ranking, uncertainty-guided exploration, and model-guided pruning improve plan quality, training efficiency, stability, and planning cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xu Chen (University of Electronic Science and Technology of China)
- 2. Haitian Chen (University of Electronic Science and Technology of China)
- 3. Zibo Liang (University of Electronic Science and Technology of China)
- 4. Shuncheng Liu (University of Electronic Science and Technology of China)
- 5. Jinghong Wang (Huawei)
- 6. Kai Zeng (Huawei)
- 7. Han Su (University of Electronic Science and Technology of China)
- 8. Kai Zheng (University of Electronic Science and Technology of China)
BibTeX Citation
@article{chen_vldb23,
title = {{LEON: A New Framework for ML-Aided Query Optimization}},
author = {Chen, Xu and Chen, Haitian and Liang, Zibo and Liu, Shuncheng and Wang, Jinghong and Zeng, Kai and Su, Han and Zheng, Kai},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {9},
pages = {2261--2273},
doi = {10.14778/3598581.3598597},
url = {https://doi.org/10.14778/3598581.3598597},
year = {2023}
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