Coresets for Robust Query Optimization
Summary: Introduces plan coresets for robust query optimization under cardinality uncertainty, proving size bounds across cost classes. Workload-aware construction algorithms yield compact coresets with near-optimal performance despite worst-case lower bounds. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Rahul Raychaudhury (Duke University)
- 2. Haibo Xiu (Duke University)
- 3. Pankaj K. Agarwal (Duke University)
- 4. Stavros Sintos (University of Illinois Chicago)
- 5. Jun Yang (Duke University)
BibTeX Citation
@inproceedings{raychaudhury_pods26,
address = {New York, NY, USA},
series = {{PODS} '26},
title = {{Coresets for Robust Query Optimization}},
url = {https://dl.acm.org/doi/10.1145/3801896},
doi = {10.1145/3801896},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Raychaudhury, Rahul and Xiu, Haibo and Agarwal, Pankaj K. and Sintos, Stavros and Yang, Jun},
year = {2026}
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