Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases.
Jens Claußen, Alfons Kemper, Guido Moerkotte, Klaus Peithner:
Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases.
VLDB 1997: 286-295@inproceedings{DBLP:conf/vldb/ClaussenKMP97,
author = {Jens Clau{\ss}en and
Alfons Kemper and
Guido Moerkotte and
Klaus Peithner},
editor = {Matthias Jarke and
Michael J. Carey and
Klaus R. Dittrich and
Frederick H. Lochovsky and
Pericles Loucopoulos and
Manfred A. Jeusfeld},
title = {Optimizing Queries with Universal Quantification in Object-Oriented
and Object-Relational Databases},
booktitle = {VLDB'97, Proceedings of 23rd International Conference on Very
Large Data Bases, August 25-29, 1997, Athens, Greece},
publisher = {Morgan Kaufmann},
year = {1997},
isbn = {1-55860-470-7},
pages = {286-295},
ee = {db/conf/vldb/ClaussenKMP97.html},
crossref = {DBLP:conf/vldb/97},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
We investigate the optimization and evaluation of
queries with universal quantification in the context of the
object-oriented and object-relational data models. The queries are
classified into 16 categories depending on the variables referenced
in the so-called range and quantifier predicates. For
the three most important classes we enumerate the known query
evaluation plans and devise some new ones. These alternative plans
are primarily based on anti-semijoin, division, generalized grouping
with count aggregation, and set difference. In order to evaluate the
quality of the many different evaluation plans a thorough
performance analysis on some sample database configurations was
carried out. The quantitative analysis reveals that--if
applicable--the anti-semijoin-based plans are superior to all the
other alternatives, even if we employ the most sophisticated
division algorithms. Furthermore, exploiting object-oriented
features, anti-semijoin plans can be derived even when this is not
possible in the relational context.
Copyright © 1997 by the VLDB Endowment.
Permission to copy without fee all or part of this material is granted provided that the copies are not made or
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is by the permission of the Very Large Data Base
Endowment. To copy otherwise, or to republish, requires
a fee and/or special permission from the Endowment.
Online Paper
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BibTeX
Printed Edition
Matthias Jarke, Michael J. Carey, Klaus R. Dittrich, Frederick H. Lochovsky, Pericles Loucopoulos, Manfred A. Jeusfeld (Eds.):
VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece.
Morgan Kaufmann 1997, ISBN 1-55860-470-7
Contents BibTeX
Electronic Edition
From CS Dept.,
University Trier (Germany)
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