Range Nesting: A Fast Method to Evaluate Quantified Queries.
Matthias Jarke, Jürgen Koch:
Range Nesting: A Fast Method to Evaluate Quantified Queries.
SIGMOD Conference 1983: 196-206@inproceedings{DBLP:conf/sigmod/JarkeK83,
author = {Matthias Jarke and
J{\"u}rgen Koch},
editor = {David J. DeWitt and
Georges Gardarin},
title = {Range Nesting: A Fast Method to Evaluate Quantified Queries},
booktitle = {SIGMOD'83, Proceedings of Annual Meeting, San Jose, California,
May 23-26, 1983},
publisher = {ACM Press},
year = {1983},
pages = {196-206},
ee = {http://doi.acm.org/10.1145/582192.582225, db/conf/sigmod/JarkeK83.html},
crossref = {DBLP:conf/sigmod/83},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Database queries explicitly containing
existential and universal quantification
become increasingly important in a number
of areas such as integrity checking,
interaction of databases and AI systems,
heterogeneous databases, and statistical
databases. Using a concept of range
nesting in relational calculus
expressions, the paper describes
evaluation algorithms and transformation
methods for an important class of
quantified relational calculus queries
called perfect expressions. This class
includes well-known classes of "easy"
queries such as tree queries (with free
and existentially quantified variables
only), and complacent (disconnected) queries.
Copyright © 1983 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
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BibTeX
Printed Edition
David J. DeWitt, Georges Gardarin (Eds.):
SIGMOD'83, Proceedings of Annual Meeting, San Jose, California, May 23-26, 1983.
ACM Press 1983 BibTeX
,
SIGMOD Record 13(4)
Contents
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Referenced by
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Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases.
VLDB 1997: 286-295
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Towards an Efficient Evaluation of General Queries: Quantifier and Disjunction Processing Revisited.
SIGMOD Conference 1989: 193-204
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Using Common Subexpressions to Optimize Multiple Queries.
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Types and Persistence in Database Programming Languages.
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VLDB 1987: 235-243
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Adaptive Predicate Managers in Database Systems.
VLDB 1986: 21-29
- Matthias Jarke, Volker Linnemann, Joachim W. Schmidt:
Data Constructors: On the Integration of Rules and Relations.
VLDB 1985: 227-240
- Clement T. Yu, C. C. Chang:
Distributed Query Processing.
ACM Comput. Surv. 16(4): 399-433(1984)
- Matthias Jarke, Jürgen Koch:
Query Optimization in Database Systems.
ACM Comput. Surv. 16(2): 111-152(1984)
- Dan E. Willard:
Efficient Processing of Relational Calculus Expressions Using Range Query Theory.
SIGMOD Conference 1984: 164-175
BibTeX
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