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The 3D Hash Join: Building On Non-Unique Join Attributes

Summary: Introduces 3D Hash Join: cluster collision chains by distinct build-key values to avoid long chains from duplicates/skew, improving probe locality and cutting memory accesses. Adds deferred unnesting for multi-join evaluation; shows up to 3.5×–5.7× speedups. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h4406b469de9941f8
Venue
CIDR
Year
2022
Pagerank
6.2571095e-05
Overall Rank
5,142 | 65.43%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{flachs_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{The 3D Hash Join: Building On Non-Unique Join Attributes}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Flachs, Daniel and Müller, Magnus and Moerkotte, Guido},
        year = {2022}
}

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