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)
Incoming Non-self Citations Over Time
Authors
- 1. Qi Zhou (Georgia Institute of Technology)
- 2. Joy Arulraj (Georgia Institute of Technology)
- 3. William Harris (Galois Inc)
- 4. Shamkant Navathe (Georgia Institute of Technology)
- 5. Jinpeng Wu (Alibaba)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,921 | Rethinking Learned Cost Models: Why Start from Scratch? | 2023 | SIGMOD | 5.7388557e-05 |
| 7,193 | dbET: Execution Time Distribution-based Plan Selection | 2023 | SIGMOD | 5.6770249e-05 |
| 8,164 | SlabCity: Whole-Query Optimization using Program Synthesis | 2023 | VLDB | 5.4750309e-05 |
| 8,465 | Predicate Pushdown for Data Science Pipelines | 2023 | SIGMOD | 5.4194578e-05 |
| 10,190 | AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora | 2026 | SIGMOD | 5.093636e-05 |
| 10,220 | Dialect-Agnostic SQL Parsing via LLM-Based Segmentation | 2026 | SIGMOD | 5.093636e-05 |
| 11,166 | PLAQUE: Automated Predicate Learning at Query Time | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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