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A rule-based view of query optimization

Johann Christoph Freytag

Open publisher page 165 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.

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.

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OpenAlex reports 165 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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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.

Key concepts: Query optimization, Computer science, Sargable, Query language, Query expansion, Component (thermodynamics), RDF query language, Query by Example

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