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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

Query analysis using pg_stat_statements

The pg_stat_statements extension exposes a lot of query statistics that will be helpful in finding slow queries that need to be optimized. In this recipe, we shall see some example queries to view some information from pg_stat_statements.

Getting ready

In order to run the views or queries discussed in this recipe, we should have pg_stat_statements successfully configured and created as an extension. Please note that every query for which the statistics are collected by pg_stat_statements can be uniquely identified through queryid. A hash is generated based on the query text and is visible as queryid when we query the pg_stat_statements view.

How to do it...

In the following commands, we have used a function to trim the query up to just 40 characters for better visibility. We may use an expanded display using \x and avoid truncating the query when viewing the statistics:

  1. Find the queries that are writing to temp the most:
select queryid, left(query...
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