Estimating Block Accessses when Attributes are Correlated.
Brad T. Vander Zanden, Howard M. Taylor, Dina Bitton:
Estimating Block Accessses when Attributes are Correlated.
VLDB 1986: 119-127@inproceedings{DBLP:conf/vldb/ZandenTB86,
author = {Brad T. Vander Zanden and
Howard M. Taylor and
Dina Bitton},
editor = {Wesley W. Chu and
Georges Gardarin and
Setsuo Ohsuga and
Yahiko Kambayashi},
title = {Estimating Block Accessses when Attributes are Correlated},
booktitle = {VLDB'86 Twelfth International Conference on Very Large Data Bases,
August 25-28, 1986, Kyoto, Japan, Proceedings},
publisher = {Morgan Kaufmann},
year = {1986},
isbn = {0-934613-18-4},
pages = {119-127},
ee = {db/conf/vldb/ZandenTB86.html},
crossref = {DBLP:conf/vldb/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Most database systems fallaciously assume that attributes are
independent. This assumption leads such systems to
systematically overestimate the costs of queries and thus to
select execution strategies that substantially increase the
queries' prooessing time. In this paper we show how the
concepts of Schur concavity and majorization can be used to
efficiently estimate the cost of a query when the queried attribute
is correlated with the clustering attribute. We will also examine
how a block access distribution can be constructed when
attributes are correlated in this manner.
Copyright © 1986 by the VLDB Endowment.
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is by the permission of the Very Large Data Base
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a fee and/or special permission from the Endowment.
Online Paper
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Printed Edition
Wesley W. Chu, Georges Gardarin, Setsuo Ohsuga, Yahiko Kambayashi (Eds.):
VLDB'86 Twelfth International Conference on Very Large Data Bases, August 25-28, 1986, Kyoto, Japan, Proceedings.
Morgan Kaufmann 1986, ISBN 0-934613-18-4
Contents
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Copyright © Tue Mar 16 02:21:58 2010
by Michael Ley (ley@uni-trier.de)