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An Instant and Accurate Size Estimation Method for Joins and Selection in a Retrieval-Intensive Environment

Summary: Regression-based size estimation for equi-joins and selections using an approximating series derived from data distribution and dependencies. Instant evaluation with negligible CPU and no runtime space or page-fault overhead; accuracy is on par with sampling-based estimators, making it ideal for retrieval-intensive workloads and periodic updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2690
Venue
SIGMOD
Year
1993
Pagerank
0.00011825923
Overall Rank
1,172 | 91.97%
DOI
10.1145/170035.170055

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Authors

BibTeX Citation

@inproceedings{sun_sigmod93,
        title = {{An Instant and Accurate Size Estimation Method for Joins and Selection in a Retrieval-Intensive Environment}},
        author = {Sun, Wei and Ling, Yibei and Rishe, Naphtali and Deng, Yi},
        series = {{SIGMOD} '93},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/170035.170055},
        url = {https://dl.acm.org/doi/10.1145/170035.170055},
        year = {1993}
}

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