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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
445
Venue
CIDR
Year
2022
Pagerank
5.0274964e-05
Overall Rank
6,524 | 54.62%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,465 Robust Join Processing with Diamond Hardened Joins 2024 VLDB 6.1604282e-05
8,275 Adaptive Factorization Using Linear-Chained Hash Tables 2025 CIDR 4.5439841e-05
8,276 DuckPGQ: Efficient Property Graph Queries in an analytical RDBMS 2023 CIDR 4.5439811e-05
10,635 Saving Private Hash Join 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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