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

Archiving transaction log data

PSR can send transaction log data to a remote node, even if the node is not a full PostgreSQL server, so that it can be archived. This can be useful for various purposes, such as the following:

  • Restoring a hot physical backup
  • Investigating the contents of previous transactions

Getting ready

Normally, backups should be taken regularly on a production system; if you have configured Barman already, as described in the Hot physical backups with Barman recipe of Chapter 11, Backup and Recovery, then you are already archiving transaction logs because they are needed to restore a physical backup, so no further action is needed, and you can skip to the How to do it... section of the current recipe.

PostgreSQL includes two client tools to stream transaction data from the server to the client. The tools are designed using a pull model; that is, you run the tools on the node you wish the data to be saved on:

  • pg_receivewal...