1987ACM SIGMOD RecordRequires access

A rule-based view of query optimization

Johann Christoph Freytag

Open publisher page 22 citations

Abstract

The query optimizer is an important system component of a relational database management system (DBMS). It is the responsibility of this component to translate the user-submitted query - usually written in a non-procedural language - into an efficient query evaluation plan (QEP) which is then executed against the database. The research literature describes a wide variety of optimization strategies for different query languages and implementation environments. However, very little is known about how to design and structure the query optimization component to implement these strategies. This paper proposes a first step towards the design of a modular query optimizer . We describe its operations by transformation rules which generate different QEPs from initial query specifications. As we distinguish different aspects of the query optimization process, our hope is that the approach taken in this paper will contribute to the more general goal of a modular query optimizer as part of an extensible database management system.

About this research paper

What this paper is about

The query optimizer is an important system component of a relational database management system (DBMS). It is the responsibility of this component to translate the user-submitted query - usually written in a non-procedural language - into an efficient query evaluation plan (QEP) which is then executed against the database. The research literature describes a wide variety of optimization strategies for different query languages and implementation environments. However, very little is known about how to design and structure the query optimization component to implement these strategies. This paper proposes a first step towards the design of a modular query optimizer . We describe its operations by transformation rules which generate different QEPs from initial query specifications. As we distinguish different aspects of the query optimization process, our hope is that the approach taken in this paper will contribute to the more general goal of a modular query optimizer as part of an extensible database management system.

Why it matters

OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The query optimizer is an important system component of a relational database management system (DBMS). It is the responsibility of this component to translate the user-submitted query - usually written in a non-procedural language - into an efficient query evaluation plan (QEP) which is then executed against the database. The research literature describes a wide variety of optimization strategies for different query languages and implementation environments. However, very little is known about how to design and structure the query optimization component to implement these strategies. This paper proposes a first step towards the design of a modular query optimizer . We describe its operations by transformation rules which generate different QEPs from initial query specifications. As we distinguish different aspects of the query optimization process, our hope is that the approach taken in this paper will contribute to the more general goal of a modular query optimizer as part of an extensible database management system.

Key concepts: Query optimization, Computer science, Sargable, Query language, Query expansion, View, RDF query language, Query by Example

Related papers

Back to paper searchBrowse research topicsOriginal source
A rule-based view of query optimization — Research Paper | ScholarLens