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Optimization of SQL Queries for Parallel Machines [electronic resource] / edited by Waqar Hasan.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 1182Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1996Description: XX, 140 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540496380
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.D3
Online resources:
Contents:
Price of parallelism -- JOQR optimizations -- Scheduling pipelined parallelism -- Scheduling mixed parallelism -- Summary and future work.
In: Springer eBooksSummary: Parallel execution of SQL queries against large databases offers a solution to the problem of reducing query response. This book addresses the related optimization problem: Given an SQL query, find the plan that delivers the result in minimal time. The author presents and analyzes new theoretical findings and efficient algorithms pertaining to parallel operation at a practical level of granularity relevant to database system operations. The optimization results balance the advantages and costs of parallel execution of SQL queries. The techniques presented are applicable to modern system configurations, where computation is performed on pipelining-capable workstations operating in parallel, and can be used to construct SQL compilers able to exploit parallel machines effectively.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK6839

Price of parallelism -- JOQR optimizations -- Scheduling pipelined parallelism -- Scheduling mixed parallelism -- Summary and future work.

Parallel execution of SQL queries against large databases offers a solution to the problem of reducing query response. This book addresses the related optimization problem: Given an SQL query, find the plan that delivers the result in minimal time. The author presents and analyzes new theoretical findings and efficient algorithms pertaining to parallel operation at a practical level of granularity relevant to database system operations. The optimization results balance the advantages and costs of parallel execution of SQL queries. The techniques presented are applicable to modern system configurations, where computation is performed on pipelining-capable workstations operating in parallel, and can be used to construct SQL compilers able to exploit parallel machines effectively.

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The Institute of Mathematical Sciences, Chennai, India