Optimizing relational queries in connection hypergraphs: nested queries, views, and binding propagations

Optimizing relational queries in connection hypergraphs: nested queries, views, and binding... We optimize relational queries using connection hypergraphs (CHGs). All operations including value-passing between SQL blocks can be set-oriented. By introducing partial evaluations, reordering operations can be achieved for nested queries. For a query using views, we merge CHGs for the views and the query into one CHG and then apply query optimization. Furthermore, we may simulate magic sets methods elegantly in a CHG. Sideways information-passing strategies (SIPS) in a CHG amount to partial evaluations of SIPS paths. We introduce the maximum SIPS strategy, which performs SIPS for all bindings and all SIPS paths for a query. The new method has several advantages. First, the maximum SIPS strategy can be more efficient than the previous SIPS based on simple heuristics. Second, it is conceptually simple and easy to implement. Third, the processing strategies may be incorporated with the search space for query execution plans, which is a proven optimization strategy introduced by System R. Fourth, it provides a general framework of query optimization and may potentially be used to optimize next-generation database systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Optimizing relational queries in connection hypergraphs: nested queries, views, and binding propagations

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Publisher
Springer-Verlag
Copyright
Copyright © 1998 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s007780050050
Publisher site
See Article on Publisher Site

Abstract

We optimize relational queries using connection hypergraphs (CHGs). All operations including value-passing between SQL blocks can be set-oriented. By introducing partial evaluations, reordering operations can be achieved for nested queries. For a query using views, we merge CHGs for the views and the query into one CHG and then apply query optimization. Furthermore, we may simulate magic sets methods elegantly in a CHG. Sideways information-passing strategies (SIPS) in a CHG amount to partial evaluations of SIPS paths. We introduce the maximum SIPS strategy, which performs SIPS for all bindings and all SIPS paths for a query. The new method has several advantages. First, the maximum SIPS strategy can be more efficient than the previous SIPS based on simple heuristics. Second, it is conceptually simple and easy to implement. Third, the processing strategies may be incorporated with the search space for query execution plans, which is a proven optimization strategy introduced by System R. Fourth, it provides a general framework of query optimization and may potentially be used to optimize next-generation database systems.

Journal

The VLDB JournalSpringer Journals

Published: Feb 1, 1998

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