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Graph-Based Synopses for Relational Selectivity Estimation

Summary: TuG synopses model a relational DB as a semi-structured tuple-graph, with joins as traversals. Query selectivity for complex joins is estimated by traversing the compact TuG, with scalable construction under fixed storage budget and improved accuracy over prior summaries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3814
Venue
SIGMOD
Year
2006
Pagerank
7.1244416e-05
Overall Rank
3,788 | 74.02%
DOI
10.1145/1142473.1142497

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{spiegel_sigmod06,
        title = {{Graph-Based Synopses for Relational Selectivity Estimation}},
        author = {Spiegel, Joshua and Polyzotis, Neoklis},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142497},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142497},
        year = {2006}
}

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