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On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms
Summary: Dynamic index for equi-joins using Õ(IN) space and O(1) updates, returning a uniform join sample in Õ(IN^{rho*}/max{1,OUT}) time w.h.p., where rho* is the fractional edge covering number. Shows that under the combinatorial k-clique hypothesis no combinatorial algorithm can output the full join in O(IN^{rho*−ε}) w.h.p. even when OUT ≤ IN^{ε}, thereby justifying the O(IN^{rho*}) worst-case optimal bound.
(summarized by gpt-5-mini on Feb 09 2026)
Paper ID
h835d03a86f12bccb
Venue
PODS
Year
2023
Pagerank
7.2548566e-05
Overall Rank
3,494 | 76.52%
DOI
10.1145/3584372.3588666
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{deng_pods23,
address = {New York, NY, USA},
series = {{PODS} '23},
title = {{On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms}},
url = {https://dl.acm.org/doi/10.1145/3584372.3588666},
doi = {10.1145/3584372.3588666},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Deng, Shiyuan and Lu, Shangqi and Tao, Yufei},
year = {2023}
}
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Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
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Pagerank
57
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1999
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0.00040095727
135
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1999
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