Tracking Join and Self-Join Sizes in Limited Storage
Summary: Approximate self-join sizes under insertions/deletions in tiny space; tug-of-war sketches outperform sample-and-count and plain sampling for skew detection and self-join estimation. Proves lower bounds showing sampling-based compact join signatures are essentially optimal absent assumptions, but proposes tug-of-war-based join signatures whose error scales with relations' self-join sizes and can significantly beat sampling. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Noga Alon (Tel Aviv University)
- 2. Phillip B. Gibbons (AT&T)
- 3. Yossi Matias (Tel Aviv University)
- 4. Mario Szegedy (AT&T)
BibTeX Citation
@inproceedings{alon_pods99,
address = {New York, NY, USA},
series = {{PODS} '99},
title = {{Tracking Join and Self-Join Sizes in Limited Storage}},
url = {https://dl.acm.org/doi/10.1145/303976.303978},
doi = {10.1145/303976.303978},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Alon, Noga and Gibbons, Phillip B. and Matias, Yossi and Szegedy, Mario},
year = {1999}
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