Joins on Samples: A Theoretical Guide for Practitioners
Summary: Provides a theoretical guide to sample-based join AQP, separating output cardinality from estimator variance and proving variance lower bounds. A hybrid stratified/universe/Bernoulli scheme is constant-factor optimal, with a decentralized implementation for distributed systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dawei Huang (University of Michigan)
- 2. Dong Young Yoon (University of Michigan)
- 3. Seth Pettie (University of Michigan)
- 4. Barzan Mozafari (University of Michigan)
BibTeX Citation
@article{huang_vldb20,
title = {{Joins on Samples: A Theoretical Guide for Practitioners}},
author = {Huang, Dawei and Yoon, Dong Young and Pettie, Seth and Mozafari, Barzan},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {4},
pages = {547--560},
doi = {10.14778/3372716.3372726},
url = {https://doi.org/10.14778/3372716.3372726},
year = {2020}
}
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