Detecting Logic Bugs of Join Optimizations in DBMS
Summary: Proposes TQS, a testing framework for detecting logic bugs in multi-table joins. DSG generates truth pairs via normalization and bitmap-based results with noise; KQE uses iso-graph discovery, embeddings, and weighted walks to explore join queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiu Tang (Zhejiang University)
- 2. Sai Wu (Zhejiang University)
- 3. Dongxiang Zhang (Zhejiang University)
- 4. Feifei Li (Alibaba)
- 5. Gang Chen (Zhejiang University)
BibTeX Citation
@inproceedings{tang_sigmod23,
title = {{Detecting Logic Bugs of Join Optimizations in DBMS}},
author = {Tang, Xiu and Wu, Sai and Zhang, Dongxiang and Li, Feifei and Chen, Gang},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588909},
url = {https://dl.acm.org/doi/10.1145/3588909},
year = {2023}
}
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