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Learning PostgreSQL 11 - Third Edition

You're reading from  Learning PostgreSQL 11 - Third Edition

Product type Book
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Pages 556 pages
Edition 3rd Edition
Languages
Authors (2):
Salahaldin Juba Salahaldin Juba
Profile icon Salahaldin Juba
Andrey Volkov Andrey Volkov
Profile icon Andrey Volkov
View More author details
Toc

Table of Contents (18) Chapters close

1. Relational Databases 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability 17. What's Next? 18. Other Books You May Enjoy

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 large, but 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, which makes it possible to use multiple CPUs for one query. Certain operations, such as 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...

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