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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

CPU scheduling parameters


In this topic, let's discuss a few CPU scheduling parameters, which will fine tune the scheduling policy.

Getting ready

In the previous recipe, we discussed memory-related parameters, which are not sufficient for better performance. Much like memory, kernel also supports various CPU-related tuning parameters, which will drive the processes scheduling.

How to do it...

Let us discuss about, few major CPU kernel scheduling parameters in Linux:

kernel.sched_autogroup_enabled

This parameter groups all the processes that belong to the same kernel session ID, which are further processed as a single process scheduling entity rather than multiple entities. That is, the CPU will indirectly spend a contiguous amount of time on a group of processes that belong to the same session rather than switching to multiple processes. Using the ps xa -o, sid, pid, and comm command, where we can get the session ID of the processes. It is always recommended to set this value to 0 for the PostgreSQL...

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