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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

Vacuum and autovacuum


In this recipe, we will be discussing the importance of vacuum and autovacuum in achieving good PostgreSQL performance.

Getting ready

As aforementioned, PostgreSQL is based on MVCC. As a net result, we will have all the non-visible tuples beside visible tuples, which occupy the underlying disk storage. As of now, these non-visible tuples have no use, and if we could reclaim or reuse the non-visible tuple's disk storage, that would make the disk utilization more effective.

How to do it...

Let's experiment with the usage of VACUUM by creating a sample table and executing a few SQL statements that generate non-visible tuples or dead tuples.

Connect to your database using psql as a super user and then execute the following command:

$ psql -h localhost -U postgres 
postgres=# CREATE EXTENTION  pg_freespacemap; 
CREATE 

Now create a test table as follows:

postgres=# CREATE TABLE test(t INT); 
CREATE 

For demonstration of the VACUUM process, let's turn off autovacuum on this...

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