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Fixed-Precision Estimation of Join Selectivity

Summary: Establishes a partial ordering of variability among sampling-based equijoin-selectivity estimators for any fixed sample budget. Presents a general method to convert fixed-step estimators into asymptotically efficient fixed-precision procedures, derives cost orderings, and gives a top index-free algorithm. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
998
Venue
PODS
Year
1993
Pagerank
0.00011764128
Overall Rank
1,186 | 91.87%
DOI
10.1145/153850.153875

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{haas_pods93,
        address = {New York, NY, USA},
        series = {{PODS} '93},
        title = {{Fixed-Precision Estimation of Join Selectivity}},
        url = {https://dl.acm.org/doi/10.1145/153850.153875},
        doi = {10.1145/153850.153875},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Haas, Peter J. and Naughton, Jeffrey F. and Seshadri, S. and Swami, Arun N.},
        year = {1993}
}

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