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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

Performance and synchronous replication (sync rep)

Sync rep allows us to offer a confirmation to the user that a transaction has been committed and fully replicated on at least one standby server. To do that, we must wait for the transaction changes to be sent to at least one standby, and then have that feedback returned to the primary.

The additional time taken for the message’s round trip will add elapsed time for the commit of write transactions, which increases in proportion to the distance between servers. PostgreSQL offers a choice to the user as to what balance they would like between durability and response time.

Getting ready

The user application must be connected to a primary to issue transactions that write data. The default level of durability is defined by the synchronous_commit parameter. That parameter is user-settable, so it can be set for different applications, sessions, or even individual transactions. For now, ensure that the user application...

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