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Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships

Summary: Diag-Join exploits time-of-creation clustering to enable an opportunistic join for 1:N relations. It outperforms block-wise nested-loop join, GRACE hash join, and index nested-loop join on clustered data and provides an analytical cost model. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8480
Venue
VLDB
Year
1998
Pagerank
5.0560907e-05
Overall Rank
6,457 | 55.09%
DOI
-

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Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,694 How Soccer Players Would do Stream Joins 2011 SIGMOD 0.00010893764
5,322 Generalized Hash Teams for Join and Group-by 1999 VLDB 5.5701077e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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