Efficient Query Repair for Aggregate Constraints
November 02, 2025 Β· Declared Dead Β· π Proceedings of the VLDB Endowment
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Authors
Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman
arXiv ID
2511.00826
Category
cs.DB: Databases
Citations
0
Venue
Proceedings of the VLDB Endowment
Last Checked
5 months ago
Abstract
In many real-world scenarios, query results must satisfy domain-specific constraints. For instance, a minimum percentage of interview candidates selected based on their qualifications should be female. These requirements can be expressed as constraints over an arithmetic combination of aggregates evaluated on the result of the query. In this work, we study how to repair a query to fulfill such constraints by modifying the filter predicates of the query. We introduce a novel query repair technique that leverages bounds on sets of candidate solutions and interval arithmetic to efficiently prune the search space. We demonstrate experimentally, that our technique significantly outperforms baselines that consider a single candidate at a time.
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