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Making SQL Queries Correct on Incomplete Databases: A Feasibility Study

Summary: Empirically demonstrates that standard SQL semantics over NULLs frequently yields incorrect answers on real workloads (TPC-H), especially for queries with negation. Proposes a novel FO-query rewriting that computes certain answers efficiently in practice, fixing prior impractical methods with modest overhead and no loss of correct results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h9cdec59708618db4
Venue
PODS
Year
2016
Pagerank
5.989635e-05
Overall Rank
5,802 | 61.00%
DOI
10.1145/2902251.2902297

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guagliardo_pods16,
        address = {New York, NY, USA},
        series = {{PODS} '16},
        title = {{Making SQL Queries Correct on Incomplete Databases: A Feasibility Study}},
        url = {https://dl.acm.org/doi/10.1145/2902251.2902297},
        doi = {10.1145/2902251.2902297},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Guagliardo, Paolo and Libkin, Leonid},
        year = {2016}
}

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