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Learning PostgreSQL 10 - Second Edition

You're reading from  Learning PostgreSQL 10 - Second Edition

Product type Book
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Pages 488 pages
Edition 2nd Edition
Languages

Table of Contents (23) Chapters

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Relational Databases PostgreSQL in Action PostgreSQL Basic Building Blocks PostgreSQL Advanced Building Blocks SQL Language Advanced Query Writing Server-Side Programming with PL/pgSQL OLAP and Data Warehousing Beyond Conventional Data Types Transactions and Concurrency Control PostgreSQL Security The PostgreSQL Catalog Optimizing Database Performance Testing Using PostgreSQL in Python Applications Scalability

Parallel query


PostgreSQL creates a server process for each client connection. This means that only one CPU core will be used to perform all the work. Of course, when multiple connections are active, the resources of the server machine will be used intensively. However, in the data warehouse solutions, the number of concurrent sessions is usually not very big. They tend to perform big complex queries. It makes sense to utilize multiple CPU cores to process the queries of a single client connection. 

PostgreSQL supports a feature called parallel query that makes it possible to use multiple CPUs for one query. Certain operations like table scans, joins, or aggregation can be executed in several processes concurrently. The administrator can configure the number of workers that the PostgreSQL server will create for parallel query execution. When the query optimizer can detect a benefit from parallel execution, it will request some workers, and if they are available the query (or a part of it...

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