Name: query processing in database systems (en Inglés)
Price: 182280.00 CLP
Availability: InStock
Author: Kim, W. ; Reiner, D. S. ; Batory, Don
ISBN: 9783642823770

portada query processing in database systems (en Inglés)

Formato

Libro Físico

Ilustrado por

Editorial

Autor

Kim, W. ; Reiner, D. S. ; Batory, Don

Año

2011

Idioma

Inglés

N° páginas

366

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.0 cm

Peso

0.54 kg.

ISBN

3642823777

ISBN13

9783642823770

Categorías

Lenguajes de programación scripting
Bases de datos
Inteligencia artificial

query processing in database systems (en Inglés)

W. Kim (Ilustrado por) · D. S. Reiner (Ilustrado por) · Don Batory (Ilustrado por) · Springer · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "query processing in database systems (en Inglés)"

This book is an anthology of the results of research and development in database query processing during the past decade. The relational model of data provided tremendous impetus for research into query processing. Since a relational query does not specify access paths to the stored data, the database management system (DBMS) must provide an intelligent query-processing subsystem which will evaluate a number of potentially efficient strategies for processing the query and select the one that optimizes a given performance measure. The degree of sophistication of this subsystem, often called the optimizer, critically affects the performance of the DBMS. Research into query processing thus started has taken off in several directions during the past decade. The emergence of research into distributed databases has enormously complicated the tasks of the optimizer. In a distributed environment, the database may be partitioned into horizontal or vertical fragments of relations. Replicas of the fragments may be stored in different sites of a network and even migrate to other sites. The measure of performance of a query in a distributed system must include the communication cost between sites. To minimize communication costs for-queries involving multiple relations across multiple sites, optimizers may also have to consider semi-join techniques.