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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 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

Handling Linux/Unix memory parameters

In this topic, let's discuss various kernel memory settings, and see the recommended configuration values.

Getting ready

The kernel provides various memory settings based on its distribution. Using these parameters, we can control the kernel behavior, which provides the necessary resources to the applications. PostgreSQL is a database software application, which needs to communicate to kernel with its system calls, to get its required resources.

How to do it...

Let us discuss about, how to tune few major kernel memory components in Linux:

kernel.shmmax

This setting defines the maximum size limit of a shared memory segment, which limits the processes required segment size. We need to specify the maximum allowed segment size in bytes. It is recommended to set this value as half of the RAM size in the form of bytes.

kernel.shmall

This setting defines the limit on the available shared memory in the system. In general, we need to set this parameter in the form...

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