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PLAQUE: Automated Predicate Learning at Query Time

Summary: PLAQUE learns predicates at query time to accelerate execution beyond explicit predicates. It derives predicates from joins, aggregations, grouping, and UDF-enabled operators, delivering up to 33x (100x with UDFs) speedups on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6917
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,166 | 23.40%
DOI
10.1145/3639301

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Authors

BibTeX Citation

@inproceedings{lin_sigmod24,
        title = {{PLAQUE: Automated Predicate Learning at Query Time}},
        author = {Lin, Yiming and Mehrotra, Sharad},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639301},
        url = {https://dl.acm.org/doi/10.1145/3639301},
        year = {2024}
}

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Rank Citing Paper Year Venue Pagerank
10,291 SmartRabbit: An Interactive Query Processor 2026 SIGMOD 5.093636e-05
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