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PR-Join: A Non-Blocking Join Achieving Higher Early Result Rate with Statistical Guarantees

Summary: PR-Join: non-blocking online-aggregation using hash-partitioned ripple-like ops with expanding width to boost early results. Analytical results show >10x higher early-result rates vs prior non-blocking joins; SSDs push end-to-end toward near-optimal. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4302
Venue
SIGMOD
Year
2010
Pagerank
5.3311284e-05
Overall Rank
9,017 | 38.14%
DOI
10.1145/1807167.1807186

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod10,
        title = {{PR-Join: A Non-Blocking Join Achieving Higher Early Result Rate with Statistical Guarantees}},
        author = {Chen, Shimin and Gibbons, Phillip B. and Nath, Suman},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807186},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807186},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,532 Scalable Distributed Stream Join Processing 2015 SIGMOD 7.3369085e-05
8,024 Progressive Join Algorithms Considering User Preference 2021 CIDR 5.5052493e-05
9,392 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.2755515e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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