A Scalable Hash Ripple Join Algorithm
Summary: Parallel hash ripple join with sampling to speed convergence for join-aggregate workloads; extends Haas and Hellerstein by combining parallelism with sampling. Memory-overflow tolerant; prototype shows convergence scales with processors and remains competitive with parallel hybrid hash join when run to completion. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gang Luo (University of Wisconsin)
- 2. Curt J. Ellmann (NCR Corporation)
- 3. Peter J. Haas (IBM)
- 4. Jeffrey F. Naughton (University of Wisconsin)
BibTeX Citation
@inproceedings{luo_sigmod02,
title = {{A Scalable Hash Ripple Join Algorithm}},
author = {Luo, Gang and Ellmann, Curt J. and Haas, Peter J. and Naughton, Jeffrey F.},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564721},
url = {https://dl.acm.org/doi/10.1145/564691.564721},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00076195956 |
| 46 | Benchmarking Database Systems: A Systematic Approach | 1983 | VLDB | 0.00044784799 |
| 135 | Ripple Joins for Online Aggregation | 1999 | SIGMOD | 0.00029866033 |
| 249 | A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment | 1989 | SIGMOD | 0.00023175253 |
| 334 | An Adaptive Query Execution System for Data Integration* | 1999 | SIGMOD | 0.00020691326 |
| 1,628 | Adaptive Parallel Aggregation Algorithms | 1995 | SIGMOD | 0.00010037937 |
| 5,254 | Online Feedback for Nested Aggregate Queries with Multi-Threading | 1999 | VLDB | 6.2079513e-05 |
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