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PostgreSQL 11 Administration Cookbook

You're reading from   PostgreSQL 11 Administration Cookbook Over 175 recipes for database administrators to manage enterprise databases

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789537581
Length 600 pages
Edition 1st Edition
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Concepts
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Authors (3):
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Gianni Ciolli Gianni Ciolli
Author Profile Icon Gianni Ciolli
Gianni Ciolli
Sudheer Kumar Meesala Sudheer Kumar Meesala
Author Profile Icon Sudheer Kumar Meesala
Sudheer Kumar Meesala
Simon Riggs Simon Riggs
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Simon Riggs
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Toc

Table of Contents (14) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Exploring the Database 3. Configuration 4. Server Control 5. Tables and Data 6. Security 7. Database Administration 8. Monitoring and Diagnosis 9. Regular Maintenance 10. Performance and Concurrency 11. Backup and Recovery 12. Replication and Upgrades 13. Other Books You May Enjoy

Using parallel query

PostgreSQL now has an increasingly effective parallel query feature.

Response times from long-running queries can be improved by the use of parallel processing. The concept is that we divide a large task up into multiple smaller pieces. We get the answer faster, but we use more resources to do that.

Very short queries won't get faster by using parallel query, so if you have lots of those you'll gain more by thinking about better indexing strategies. Parallel query is aimed at making very large tasks faster, so it is useful for reporting and business intelligence queries.

How to do it…

Take a query that needs to do a big chunk of work, such as the following:

\timing
SELECT count(*) FROM...
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