Practical Skew Handling in Parallel Joins.
David J. DeWitt, Jeffrey F. Naughton, Donovan A. Schneider, S. Seshadri:
Practical Skew Handling in Parallel Joins.
VLDB 1992: 27-40@inproceedings{DBLP:conf/vldb/DeWittNSS92,
author = {David J. DeWitt and
Jeffrey F. Naughton and
Donovan A. Schneider and
S. Seshadri},
editor = {Li-Yan Yuan},
title = {Practical Skew Handling in Parallel Joins},
booktitle = {18th International Conference on Very Large Data Bases, August
23-27, 1992, Vancouver, Canada, Proceedings},
publisher = {Morgan Kaufmann},
year = {1992},
isbn = {1-55860-151-1},
pages = {27-40},
ee = {db/conf/vldb/DeWittNSS92.html},
crossref = {DBLP:conf/vldb/92},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
We present an approach to dealing with skew in parallel joins in database systems. Our approach is easily implementable within current parallel DBMS, and performs well on skewed data without degrading the performance of the system on non-skewed data.
The main idea is to use multiple algorithms, each specialized for a different degree of skew, and to use a small sample of the relations being joined to determine which algorithm is appropriate.
We developed, implemented, and experimented with four new skew-handling parallel join algorithms; one, which we call virtual processor range partitioning, was the clear winner in high skew cases, while traditional hybrid hash joinwas the clear winner in lower skew or no skew cases.
We present experimental results from an implementation of all four algorithms on the Gamma parallel database machine.
To our knowledge, these are the first reported skew-handling numbers from an actual implementation.
Copyright © 1992 by the VLDB Endowment.
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BibTeX
Printed Edition
Li-Yan Yuan (Ed.):
18th International Conference on Very Large Data Bases, August 23-27, 1992, Vancouver, Canada, Proceedings.
Morgan Kaufmann 1992, ISBN 1-55860-151-1
Contents BibTeX
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Referenced by
- Seigo Muto, Masaru Kitsuregawa:
A Dynamic Load Balancing Strategy for Parallel Datacube Computation.
DOLAP 1999: 67-72
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Reducing the Braking Distance of an SQL Query Engine.
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The New Jersey Data Reduction Report.
IEEE Data Eng. Bull. 20(4): 3-45(1997)
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Building a Scaleable Geo-Spatial DBMS: Technology, Implementation, and Evaluation.
SIGMOD Conference 1997: 336-347
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VLDB 1996: 448-459
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VLDB 1996: 436-447
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Fixed-Precision Estimation of Join Selectivity.
PODS 1993: 190-201
BibTeX
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