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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

Delaying, pausing, and synchronizing replication

Some advanced features and thoughts for replication are covered here.

Getting ready

If you have multiple standby servers, you may want to have one or more servers operating in a delayed apply state—for example, one hour behind the primary. This can be useful to help recover from user errors such as mistaken transactions or dropped tables without having to perform a PITR.

How to do it…

Normally, a standby will apply changes as soon as possible. When you set the recovery_min_apply_delay parameter in postgresql.conf, the application of commit records will be delayed by the specified duration. Note that only commit records are delayed, so you may receive Hot Standby cancelations when using this feature. You can prevent that in the usual way by setting hot_standby_feedback to on, but use this with caution since it can cause significant bloat on a busy primary if recovery_min_apply_delay is large.

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