Enabling Incremental Query Re-Optimization
Summary: Presents an incremental, cost-based optimizer that re-plans as cost estimates change, with a focus on streaming workloads. Uses recursive Datalog for plan enumeration and pruning, enabling effective incremental re-optimization and applicability to conventional optimizers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mengmeng Liu (University of Pennsylvania; Walmart Labs)
- 2. Zachary G. Ives (University of Pennsylvania)
- 3. Boon Thau Loo (University of Pennsylvania)
BibTeX Citation
@inproceedings{liu_sigmod16,
title = {{Enabling Incremental Query Re-Optimization}},
author = {Liu, Mengmeng and Ives, Zachary G. and Loo, Boon Thau},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915212},
url = {https://dl.acm.org/doi/10.1145/2882903.2915212},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,473 | Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware | 2016 | VLDB | 0.00010557973 |
| 7,249 | Efficient Adaptive Detection of Complex Event Patterns | 2018 | VLDB | 5.5745603e-05 |
| 8,332 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 5.3528188e-05 |
| 9,713 | CHEX: Multiversion Replay with Ordered Checkpoints | 2022 | VLDB | 5.1370211e-05 |
| 11,175 | AJOSC: Adaptive Join Order Selection for Continuous Queries | 2025 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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