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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

Adding a constraint concurrently

A table constraint is a guarantee that must be satisfied by all of the rows in the table. Therefore, adding a constraint to a table is a two-phase procedure – first, the constraint is created, and second, the existing rows are validated. Both happen in the same transaction, and the table will be locked according to the type of constraint for the whole duration.

For example, if we add a Foreign Key to a table, we will lock the table to prevent all write transactions against it. This validation could run for an hour in some cases and prevent writes for all that time.

This recipe demonstrates another case – that it is possible to split those two phases into multiple transactions since this allows validation to occur with a lower lock level than what’s required to add the constraint, reducing the effect of locking on the table.

First, we create the constraint and mark it as NOT VALID to make it clear that it does not exclude...

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