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Internal Query Representation

Charles Bell

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Abstract

This chapter presents the first part of the advanced database technologies for the database-experiment project (DBXP). I begin by introducing the concept of the query tree structure, which is used for storing a query in memory. Next, I’ll present the query tree structure used for the project along with the first in a series of short projects for implementing the DBXP code. The chapter concludes with a set of exercises you can use to learn more about MySQL and query trees. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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What this paper is about

This chapter presents the first part of the advanced database technologies for the database-experiment project (DBXP). I begin by introducing the concept of the query tree structure, which is used for storing a query in memory. Next, I’ll present the query tree structure used for the project along with the first in a series of short projects for implementing the DBXP code. The chapter concludes with a set of exercises you can use to learn more about MySQL and query trees. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

This chapter presents the first part of the advanced database technologies for the database-experiment project (DBXP). I begin by introducing the concept of the query tree structure, which is used for storing a query in memory. Next, I’ll present the query tree structure used for the project along with the first in a series of short projects for implementing the DBXP code. The chapter concludes with a set of exercises you can use to learn more about MySQL and query trees. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Computer science, Sargable, Query optimization, Query language, Query expansion, Set (abstract data type), Information retrieval, RDF query language

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