Plan Bouquets: Query Processing without Selectivity Estimation
Summary: Plan Bouquets replace selectivity estimation with a compact bouquet covering the error space. Runtime discerns selectivities via bouquet runs, with bounded overhead and guaranteed worst-case performance; compatible with existing optimizers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anshuman Dutt (Indian Institute of Science)
- 2. Jayant R. Haritsa (Indian Institute of Science)
BibTeX Citation
@inproceedings{dutt_sigmod14,
title = {{Plan Bouquets: Query Processing without Selectivity Estimation}},
author = {Dutt, Anshuman and Haritsa, Jayant R.},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2558555.2558566},
url = {https://dl.acm.org/doi/10.1145/2558555.2558566},
year = {2014}
}
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