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

Deciding when to use JSON data types

This will be an unusual recipe, being more of a list of best practices and tips, based on experience.

Getting ready

If you are thinking of using a JSON data type, then you already know what JSON is, and you probably have in mind several examples of JSON values.

However, if for some reason you want to run this recipe without knowing what JSON is, you can get a very good idea by visiting its official website (https://www.json.org/), which has been translated into many languages.

There is nothing else you need to do on PostgreSQL because the JSON data types and operators are already built in by default.

How to do it…

When deciding on a database model, you have two opposite approaches.

In the relational approach, the database schema is normalized, by ensuring that each piece of information has its own separate column. The column metadata defines some information on what restrictions apply:

  • Whether that...