Join Synopses for Approximate Query Answering
Summary: Join synopses enable accurate approximate answers for join queries using only statistics. A single synopsis per relation boosts FK-join accuracy; the work provides optimal and heuristic space allocation under known workloads, plus incremental maintenance and extensive TPC-D experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Swarup Acharya (AT&T)
- 2. Phillip B. Gibbons (AT&T)
- 3. Viswanath Poosala (AT&T)
- 4. Sridhar Ramaswamy (Epiphany Inc.)
BibTeX Citation
@inproceedings{acharya_sigmod99,
title = {{Join Synopses for Approximate Query Answering}},
author = {Acharya, Swarup and Gibbons, Phillip B. and Poosala, Viswanath and Ramaswamy, Sridhar},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304207},
url = {https://dl.acm.org/doi/10.1145/304182.304207},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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