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PostgreSQL High Performance Cookbook

You're reading from  PostgreSQL High Performance Cookbook

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Chitij Chauhan Chitij Chauhan
Profile icon Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Profile icon Dinesh Kumar
View More author details
Toc

Table of Contents (19) Chapters close

PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Database Benchmarking 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Tracking historical memory usage


In this recipe, we are going to see how to analyze the memory load for a previous day in the week.

Getting ready

The commands used in this recipe have been performed on a CentOS Linux machine. The command output may vary in other Linux and Unix-based operating systems.

How to do it...

When it comes to analyzing memory statistics, we need to check for both paging statistics as well as swapping statistics.

We can use the sar command in conjunction with the -B switch to report on paging statistics, along with the -f switch to report on statistics for different days of the month. As mentioned in the previous recipe, the files that the sar command uses to report statistics for different days of the month are located in the /var/log/sa directory, where the files have a naming convention of sadd, where dd represent the numeric date of the month, and where these values are in the range from 01 to 31.

For instance, to report on the paging statistics for the fifth of the...

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