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Sia: Optimizing Queries using Learned Predicates

Summary: counter-examples and SMT-based verification to learn predicates with guaranteed semantics and controllable column sets, enabling broader predicate-centric rewrites. On 200 TPC-H queries, SIA rewrites 114 and yields >2x speedups in 66 cases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6215
Venue
SIGMOD
Year
2021
Pagerank
6.0007422e-05
Overall Rank
6,031 | 58.63%
DOI
10.1145/3448016.3457262

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhou_sigmod21,
        title = {{Sia: Optimizing Queries using Learned Predicates}},
        author = {Zhou, Qi and Arulraj, Joy and Harris, William and Navathe, Shamkant and Wu, Jinpeng},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457262},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457262},
        year = {2021}
}

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