Book Image

PostgreSQL 16 Administration Cookbook

By : Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
5 (1)
Book Image

PostgreSQL 16 Administration Cookbook

5 (1)
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)
13
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14
Index

Database Administration

In Chapter 5, Tables and Data, we looked at the contents of tables and their various complexities. Now, we’ll turn our attention to larger administration tasks that we need to perform from time to time, such as creating things, moving things around, storing things neatly, and removing them when they’re no longer required.

The most sensible way to perform major administrative tasks is to write a script to do what you think is required. This allows you to run the script on a system test server, and then run it again on the production server once you’re happy with it. Devising and typing commands against production database servers, especially when under pressure, isn’t wise. Worse, using an admin tool can lead to serious issues if that tool doesn’t show you the SQL you’re about to execute. If you haven’t dropped your first live table yet, don’t worry; there is still time. Perhaps you might want to read...