Multiple Query Processing in Deductive Databases using Query Graphs.
Upen S. Chakravarthy, Jack Minker:
Multiple Query Processing in Deductive Databases using Query Graphs.
VLDB 1986: 384-391@inproceedings{DBLP:conf/vldb/ChakravarthyM86,
author = {Upen S. Chakravarthy and
Jack Minker},
editor = {Wesley W. Chu and
Georges Gardarin and
Setsuo Ohsuga and
Yahiko Kambayashi},
title = {Multiple Query Processing in Deductive Databases using Query
Graphs},
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 = {384-391},
ee = {db/conf/vldb/ChakravarthyM86.html},
crossref = {DBLP:conf/vldb/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Research activity on query evaluation and optimization has been
centered around processing one query at a time. Query processing
systems, in general, attempt to minimize the cost of processing a set
of queries by minimizing the processing cost of each query separately.
A separate plan is generated and executed for each query. The cost
of processing (that is the CPU cost + Input/Output cost) a set of
queries evaluated in the above manner is equal to the sum of the
processing cost for each query. In this paper we extend the connection
graph decomposition algorithm to generate a single plan for
evaluating a set of queries. The approach presented in this paper is
aimed at generating a single plan. exploiting the common subexpressions
that can be detected using heuristics. We assume, for
the purposes of this paper, that we are answering queries over a
deductive database, although the approach is equally applicable to a
group of independent queries.
Copyright © 1986 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
distributed for direct commercial advantage, the VLDB
copyright notice and the title of the publication and
its date appear, and notice is given that copying
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
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 BibTeX
References
- [Chak82]
- Upen S. Chakravarthy, Jack Minker:
Processing Multiple Queries in Database Systems.
IEEE Database Eng. Bull. 5(3): 38-43(1982) BibTeX
- [Chak85]
- ...
- [Gran80]
- John Grant, Jack Minker:
Optimization in Deductive and Conventional Relational Database Systems.
Advances in Data Base Theory 1979: 195-234 BibTeX
- [Jark84]
- Matthias Jarke:
Common Subexpression Isolation in Multiple Query Optimization.
Query Processing in Database Systems 1985: 191-205 BibTeX
- [Kim80]
- ...
- [Maie83]
- David Maier:
The Theory of Relational Databases.
Computer Science Press 1983, ISBN 0-914894-42-0
Contents BibTeX
- [Ullm82]
- Jeffrey D. Ullman:
Principles of Database Systems, 2nd Edition.
Computer Science Press 1982, ISBN 0-914894-36-6
BibTeX
- [Wong76]
- Eugene Wong, Karel Youssefi:
Decomposition - A Strategy for Query Processing.
ACM Trans. Database Syst. 1(3): 223-241(1976) BibTeX
Referenced by
- Jianjun Chen, David J. DeWitt, Feng Tian, Yuan Wang:
NiagaraCQ: A Scalable Continuous Query System for Internet Databases.
SIGMOD Conference 2000: 379-390
- Fa-Chung Fred Chen, Margaret H. Dunham:
Common Subexpression Processing in Multiple-Query Processing.
IEEE Trans. Knowl. Data Eng. 10(3): 493-499(1998)
- Jamal R. Alsabbagh, Vijay V. Raghavan:
Analysis of Common Subexpression Exploitation Models in Multiple-Query Processing.
ICDE 1994: 488-497
- Christian S. Jensen, Leo Mark, Nick Roussopoulos, Timos K. Sellis:
Using Differential Techniques to Efficiently Support Transaction Time.
VLDB J. 2(1): 75-111(1993)
- Song Bong Yoo, Phillip C.-Y. Sheu:
Evaluation and Optimization of Query Programs in an Object-Oriented and Symbolic Information System.
IEEE Trans. Knowl. Data Eng. 5(3): 479-495(1993)
- Timos K. Sellis, Chih-Chen Lin, Louiqa Raschid:
Coupling Production Systems and Database Systems: A Homogeneous Approach.
IEEE Trans. Knowl. Data Eng. 5(2): 240-256(1993)
- Alexander Brodsky, Joxan Jaffar, Michael J. Maher:
Toward Practical Constraint Databases.
VLDB 1993: 567-580
- Nabil Kamel, Roger King:
Intelligent Database Caching Through the Use of Page-Answers and Page-Traces.
ACM Trans. Database Syst. 17(4): 601-646(1992)
- A. Y. Lu, Phillip C.-Y. Sheu:
Processing of Multiple Queries in Distributed Databases.
ICDE 1991: 42-49
- Sharma Chakravarthy:
Divide and Conquer: A Basis for Augmenting a Conventional Query Optimizer with Multiple Query Proceesing Capabilities.
ICDE 1991: 482-490
- Upen S. Chakravarthy, John Grant, Jack Minker:
Logic-Based Approach to Semantic Query Optimization.
ACM Trans. Database Syst. 15(2): 162-207(1990)
- Alfons Kemper, Guido Moerkotte:
Advanced Query Processing in Object Bases Using Access Support Relations.
VLDB 1990: 290-301
- Jaideep Srivastava, Kuo-Wei Hwang, Jack S. Eddy Tan:
Parallelism in Database Production Systems.
ICDE 1990: 121-128
- Arie Segev, Jooseok Park:
Updating Distributed Materialized Views.
IEEE Trans. Knowl. Data Eng. 1(2): 173-184(1989)
- Arie Segev, Jooseok Park:
Maintaining Materialized Views in Distributed Databases.
ICDE 1989: 262-270
- Nobuhiro Ajitomi, Hiroyasu Kurose:
An Enhanced RETE Algorithm for Large Scale Data Access.
DASFAA 1989: 117-124
- Jeffrey D. Ullman:
Principles of Database and Knowledge-Base Systems, Volume II.
Computer Science Press 1989, ISBN 0-7167-8162-X
Contents - Arnon Rosenthal, Upen S. Chakravarthy:
Anatomy of a Mudular Multiple Query Optimizer.
VLDB 1988: 230-239
- Timos K. Sellis, Chih-Chen Lin, Louiqa Raschid:
Implementing Large Production Systems in a DBMS Environment: Concepts and Algorithms.
SIGMOD Conference 1988: 404-412
- Jooseok Park, Arie Segev:
Using Common Subexpressions to Optimize Multiple Queries.
ICDE 1988: 311-319
BibTeX
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