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Detecting Join Bugs in Database Engines via Join Implication Reasoning

Summary: Join Implication Reasoning (JIR) derives a target join’s oracle from semantically related join results, enabling scalable, predicate-agnostic testing across join types. Evaluated on 11 DBMSs, it exposed 100 unique bugs, including 69 join-logic defects. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7409
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,218 | 29.90%
DOI
10.1145/3802036

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BibTeX Citation

@inproceedings{xiang_sigmod26,
        title = {{Detecting Join Bugs in Database Engines via Join Implication Reasoning}},
        author = {Xiang, Zhaokun and Zhong, Suyang and Rigger, Manuel},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802036},
        url = {https://dl.acm.org/doi/10.1145/3802036},
        year = {2026}
}

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