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PostgreSQL 16 Administration Cookbook

You're reading from   PostgreSQL 16 Administration Cookbook Solve real-world Database Administration challenges with 180+ practical recipes and best practices

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835460580
Length 636 pages
Edition 1st Edition
Languages
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Authors (5):
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Boriss Mejías Boriss Mejías
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Boriss Mejías
Jimmy Angelakos Jimmy Angelakos
Author Profile Icon Jimmy Angelakos
Jimmy Angelakos
Simon Riggs Simon Riggs
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Simon Riggs
Gianni Ciolli Gianni Ciolli
Author Profile Icon Gianni Ciolli
Gianni Ciolli
Vibhor Kumar Vibhor Kumar
Author Profile Icon Vibhor Kumar
Vibhor Kumar
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Toc

Table of Contents (15) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Exploring the Database 3. Server 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
14. Index

Speeding up queries without rewriting them

Often, you either can’t or don’t want to rewrite a query. However, you can still try and speed it up through any of the techniques we will discuss here.

How to do it…

By now, we assume that you’ve looked at various problems already, so the following are more advanced ideas for you to try.

Increasing work_mem

For queries involving large sorts or for join queries, it may be useful to increase the amount of working memory that can be used for query execution. Try setting the following:

SET work_mem = '1TB';

Then, run EXPLAIN (not EXPLAIN ANALYZE). If EXPLAIN changes for the query, then it may benefit from more memory. I’m guessing that you don’t have access to 1 terabyte (TB) of RAM; the previous setting was only used to prove that the query plan is dependent on available memory. Now, issue the following command:

RESET work_mem;

Now, choose a more appropriate...

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