Practical Skew Handling in Parallel Joins
Summary: Presents a skew-handling framework for parallel joins using a portfolio of four algorithms chosen from a sample. Virtual processor range partitioning excels under high skew; hybrid hash wins under low/no skew. Gamma-based results deliver first implementation skew metrics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David J. DeWitt (University of Wisconsin)
- 2. Jeffrey F. Naughton (University of Wisconsin)
- 3. Donovan A. Schneider (Hewlett Packard Enterprise)
- 4. S. Seshadri (Hewlett Packard Enterprise)
BibTeX Citation
@article{dewitt_vldb92,
title = {{Practical Skew Handling in Parallel Joins}},
author = {DeWitt, David J. and Naughton, Jeffrey F. and Schneider, Donovan A. and Seshadri, S.},
journal = {PVLDB},
series = {{VLDB} '92},
pages = {27},
year = {1992}
}
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 242 | A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment | 1989 | SIGMOD |
| 2 | 1,188 | Bucket Spreading Parallel Hash: A New, Robust, Parallel Hash Join Method for Data Skew in the Super Database Computer (SDC) | 1990 | VLDB |
| 3 | 3,893 | Estimation of Query-Result Distribution and its Application in Parallel-Join Load Balancing | 1996 | VLDB |
| 4 | 5,411 | Efficient outer join data skew handling in parallel DBMS | 2009 | VLDB |
| 5 | 1,448 | Skew in Parallel Query Processing | 2014 | PODS |
| 6 | 3,863 | Using Shared Virtual Memory for Parallel Join Processing | 1993 | SIGMOD |
| 7 | 1,657 | Handling Data Skew in Parallel Joins in Shared-Nothing Systems | 2008 | SIGMOD |
| 8 | 5,897 | Skew Handling Techniques in Sort-Merge Join | 2002 | SIGMOD |
| 9 | 811 | A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins | 1991 | VLDB |
| 10 | 1,236 | Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning | 1991 | VLDB |