New Concepts for Parallel Object-Relational Query Processing [electronic resource] /

By:

Jaedicke, Michael [author.]

Contributor(s):

SpringerLink (Online service)

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 2169Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001Edition: 1st ed. 2001Description: XI, 161 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540455073

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.74 23

LOC classification:

QA76.9.D3

Online resources:

Click here to access online

Contents:

Background on User-Defined Routines -- Parallel of User-Defined Functions -- Intra-function Parallelism -- The Multi-operator Method -- User-Defined Table Operators -- Implementation of UDTO -- Summary, Conclusions, and Future Work.

In: Springer Nature eBookSummary: During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.

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During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.

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