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)
Incoming Non-self Citations Over Time
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Authors
- 1. Yiming Lin (University of California Berkeley)
- 2. Sharad Mehrotra (University of California Irvine)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,291 | SmartRabbit: An Interactive Query Processor | 2026 | SIGMOD | 5.093636e-05 |
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Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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