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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

By : GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
4.8 (27)
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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

4.8 (27)
By: GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs

Overview of this book

PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.
Table of Contents (15 chapters)
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13
Other Books You May Enjoy
14
Index

How much disk space does a database use?

It is very important to allocate sufficient disk space for your database. If the disk gets full, it will not corrupt the data, but it might lead to database server panic and then consequent shutdown.

For planning or space monitoring, we often need to know how big a database currently is, so that we get a hint of how fast it grows and are not caught by surprise later on.

How to do it...

We can do this in the following ways:

  • Look at the size of the files that make up the database server.
  • Run a SQL request to confirm the database size. If you look at the size of the actual files, you’ll need to make sure that you include the data directory and all subdirectories, as well as all other directories that contain tablespaces. This can be tricky, and it is also difficult to break down all the different pieces.

The easiest way is to ask the database a simple query, like this:

SELECT pg_database_size(current_database...

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