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PostgreSQL 13 Cookbook

You're reading from   PostgreSQL 13 Cookbook Over 120 recipes to build high-performance and fault-tolerant PostgreSQL database solutions

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838648138
Length 344 pages
Edition 1st Edition
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Author (1):
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Vallarapu Naga Avinash Kumar Vallarapu Naga Avinash Kumar
Author Profile Icon Vallarapu Naga Avinash Kumar
Vallarapu Naga Avinash Kumar
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Table of Contents (14) Chapters Close

Preface 1. Cluster Management Fundamentals 2. Cluster Management Techniques FREE CHAPTER 3. Backup and Recovery 4. Advanced Replication Techniques 5. High Availability and Automatic Failover 6. Connection Pooling and Load Balancing 7. Securing through Authentication 8. Logging and Analyzing PostgreSQL Servers 9. Critical Services Monitoring 10. Extensions and Performance Tuning 11. Upgrades and Patches 12. About Packt 13. Other Books You May Enjoy

Getting the kernel-level statistics of a query using pg_stat_kcache

In the previous recipe, we discussed how pg_stat_statements can be used for query analysis. However, some information, such as the CPU (system and user) usage and reads and writes on the filesystem layer, are not visible through pg_stat_statements. For this purpose, we could use the pg_stat_kcache extension, which works in conjunction with pg_stat_statements, to display this information. In this recipe, we shall discuss how pg_stat_kcache can be installed and used to get kernel-level information of a SQL query.

Getting ready

In order to use pg_stat_kcache, we should also the pg_stat_statements have the extension installed and created in the database. This extension is available as an open source project on GitHub (https://github.com/powa-team/pg_stat_kcache) and also made available on the PGDG repository. Similar to any other extension, pg_stat_kcache also has a dependency on the contrib module, that is, the postgresql...

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