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

Using replication slots

Replication slots allow you to define your replication architecture explicitly. They also allow you to track the details of nodes even when they are disconnected. Replication slots work with both PSR and LSR, though they operate slightly differently.

Replication slots ensure that data required by a downstream node persists until the node receives it. They are crash-safe, so if a connection is lost, the slot still continues to exist. By tracking data on downstream nodes, we avoid these problems:

  • When a standby disconnects, the feedback data provided by hot_standby_feedback is lost. When the standby reconnects, it may be sent cleanup records that result in query conflicts. Replication slots remember the standby’s xmin value even when disconnected, ensuring that cleanup conflicts can be avoided.
  • When a standby disconnects, knowledge of which WAL files were required is lost. When the standby reconnects, we may have discarded the required...