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

Setting up replication with TPA

The careful reader will note that the PostgreSQL with TPA recipe in Chapter 1, First Steps, is a good prerequisite for this recipe. In fact, TPA does not have a simple option to skip setting up replication, given that most users need it; so we had to manually delete the replication part from the initial config.yml file.

Hence, this recipe is almost identical to the PostgreSQL with TPA recipe in Chapter 1, First Steps, except that we don’t do any manual deletion.

In order to avoid wasting space in a large book, we assume that you have read that recipe already, so we don’t need to provide a detailed description of the directory structure of a TPA cluster again or an example of how a successful deploy completes.

Getting ready

This is exactly the same as the PostgreSQL with TPA recipe in Chapter 1, First Steps. Those are one-off activities, so if you did them already, then you are good to go.

How to do it…

First...