Applying Hash Filters to Improving the Execution of Bushy Trees.
Ming-Syan Chen, Hui-I Hsiao, Philip S. Yu:
Applying Hash Filters to Improving the Execution of Bushy Trees.
VLDB 1993: 505-516@inproceedings{DBLP:conf/vldb/VhanHY93,
author = {Ming-Syan Chen and
Hui-I Hsiao and
Philip S. Yu},
editor = {Rakesh Agrawal and
Se{\'a}n Baker and
David A. Bell},
title = {Applying Hash Filters to Improving the Execution of Bushy Trees},
booktitle = {19th International Conference on Very Large Data Bases, August
24-27, 1993, Dublin, Ireland, Proceedings},
publisher = {Morgan Kaufmann},
year = {1993},
isbn = {1-55860-152-X},
pages = {505-516},
ee = {db/conf/vldb/VhanHY93.html},
crossref = {DBLP:conf/vldb/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
In this paper, we explore an approach of interleaving a bushy execution tree with hash filters to improve the execution of multi-join queries.
The effect of hash filters is evaluated first.
Then, an efficient scheme to determine an effective sequence of hash filters for a bushy execution tree is developed, where hash filters are built and appliedbased on the join sequence specified in the bushy tree so that not only is the reduction effect optimised but also the cost associated is minimised.
Various schemes using hash filters are implemented and evaluated via simulation. It is experimentally shown that the application of hash filters is in generala very powerful means to improve the execution of multi-join queries, and the improvement becomes more prominent as the number of relations in a query increases.
Copyright © 1993 by the VLDB Endowment.
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Online Paper
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Printed Edition
Rakesh Agrawal, Seán Baker, David A. Bell (Eds.):
19th International Conference on Very Large Data Bases, August 24-27, 1993, Dublin, Ireland, Proceedings.
Morgan Kaufmann 1993, ISBN 1-55860-152-X
Contents
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Copyright © Tue Mar 16 02:22:03 2010
by Michael Ley (ley@uni-trier.de)