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)
Incoming Non-self Citations Over Time
Authors
- 1. Sven Helmer
- 2. Till Westmann
- 3. Guido Moerkotte
Incoming Citations (Sorted by Pagerank)
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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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,454 | On Spatially Partitioned Temporal Join | 1994 | VLDB | 5.0569697e-05 |
| 1,429 | A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses | 2009 | VLDB | 0.00012033518 |
| 441 | Computing Joins Of Relations | 1975 | SIGMOD | 0.00023058395 |
| 550 | Hash-Partitioned Join Method Using Dynamic Destaging Strategy | 1988 | VLDB | 0.00020359891 |
| 8,159 | Computing Complex Temporal Join Queries Efficiently | 2022 | SIGMOD | 4.5729025e-05 |
| 5,150 | Efficient Join Synopsis Maintenance for Data Warehouse | 2020 | SIGMOD | 5.6626586e-05 |
| 4,953 | On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms | 2023 | PODS | 5.8085795e-05 |
| 3,515 | Scalable Computation of Acyclic Joins (Extended Abstract) | 2006 | PODS | 7.0220813e-05 |
| 3,998 | Event-Join Optimization in Temporal Relational Databases | 1989 | VLDB | 6.5472662e-05 |
| 2,275 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB | 9.1262202e-05 |