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Adaptive Parallel Aggregation Algorithms.

Ambuj Shatdal, Jeffrey F. Naughton: Adaptive Parallel Aggregation Algorithms. SIGMOD Conference 1995: 104-114
@inproceedings{DBLP:conf/sigmod/ShatdalN95,
  author    = {Ambuj Shatdal and
               Jeffrey F. Naughton},
  editor    = {Michael J. Carey and
               Donovan A. Schneider},
  title     = {Adaptive Parallel Aggregation Algorithms},
  booktitle = {Proceedings of the 1995 ACM SIGMOD International Conference on
               Management of Data, San Jose, California, May 22-25, 1995},
  publisher = {ACM Press},
  year      = {1995},
  pages     = {104-114},
  ee        = {http://doi.acm.org/10.1145/223784.223801, db/conf/sigmod/sigmod95-7.html},
  crossref  = {DBLP:conf/sigmod/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Aggregation and duplicate removal are common in SQL queries. However, in the parallel query processing literature, aggregate processing has received surprisingly little attention; furthermore, for each of the traditional parallel aggregation algorithms, there is a range of grouping selectivities where the algorithm performs poorly. In this work, we propose new algorithms that dynamically adapt, at query evaluation time, in response to observed grouping selectivities. Performance analysis via analytical modeling and an implementation on a workstation-cluster shows that the proposed algorithms are able to perform well for all grouping selectivities. Finally, we study the effect of data skew and show that for certain data sets the proposed algorithms can even outperform the best of traditional approaches.

Copyright © 1995 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Michael J. Carey, Donovan A. Schneider (Eds.): Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, California, May 22-25, 1995. ACM Press 1995 BibTeX , SIGMOD Record 24(2), June 1995
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References

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Referenced by

  1. Seigo Muto, Masaru Kitsuregawa: A Dynamic Load Balancing Strategy for Parallel Datacube Computation. DOLAP 1999: 67-72
  2. Michael Jaedicke, Bernhard Mitschang: On Parallel Processing of Aggregate and Scalar Functions in Object-Relational DBMS. SIGMOD Conference 1998: 379-389
  3. Takeshi Fukuda, Hirofumi Matsuzawa: Parallel Processing of Multiple Aggregate Queries on Shared-Nothing Multiprocessors. EDBT 1998: 278-292
  4. Jignesh M. Patel, Jie-Bing Yu, Navin Kabra, Kristin Tufte, Biswadeep Nag, Josef Burger, Nancy E. Hall, Karthikeyan Ramasamy, Roger Lueder, Curt J. Ellmann, Jim Kupsch, Shelly Guo, David J. DeWitt, Jeffrey F. Naughton: Building a Scaleable Geo-Spatial DBMS: Technology, Implementation, and Evaluation. SIGMOD Conference 1997: 336-347
  5. Sameet Agarwal, Rakesh Agrawal, Prasad Deshpande, Ashish Gupta, Jeffrey F. Naughton, Raghu Ramakrishnan, Sunita Sarawagi: On the Computation of Multidimensional Aggregates. VLDB 1996: 506-521
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