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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
1692
Venue
PODS
Year
2016
Pagerank
5.3000054e-05
Overall Rank
5,857 | 59.26%
DOI
10.1145/2902251.2902297

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