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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

Understanding memory units in PostgreSQL


In this recipe, we will be discussing the memory components of PostgreSQL instances.

Getting ready

PostgreSQL uses several memory components for each unique usage. That is, it uses dedicated memory areas for transactions, sort/join operations, maintenance operations, and so on. If the configured memory component doesn't fit the usage of the live application, then we may hit a performance issue, where PostgreSQL tries for more I/O.

How to do it...

Let us discuss about, how to tune the major PostgreSQL memory components:

shared_buffers

This is the major memory area that PostgreSQL uses for executing the transactions. On most Linux operating systems, it is recommended to allocate at least 25% of RAM as shared buffers, by leaving 75% of RAM to OS, OS cache, and for other PostgreSQL memory components. PostgreSQL provide multiple ways to create these shared buffers. The supported shared memory creation techniques are POSIX shared memory, System V shared memory...

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