Book Image

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
Book Image

PostgreSQL High Performance Cookbook

By: Chitij Chauhan, Dinesh Kumar

Overview of this book

PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world’s most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you’ll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.
Table of Contents (19 chapters)
PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

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...