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 multiple schemas

We can separate groups of tables into namespaces, referred to as schemas by PostgreSQL. In many ways, they can be thought of as being similar to directories, although that is not a precise description, and schemas are not arranged in a hierarchy.

Getting ready

Make sure you’ve read the Deciding on a design for multitenancy recipe so that you’re certain that this is the route you wish to take. Other options exist, and they may be preferable in some cases.

How to do it…

Follow these steps:

  1. Schemas can easily be created using the following commands:
    CREATE SCHEMA finance;
    CREATE SCHEMA sales;
    
  2. Then, we can create objects directly within those schemas using fully qualified names, like this:
    CREATE TABLE finance.month_end_snapshot (.....)
    

    The default schema where an object is created is known as current_schema. We can find out what our current schema is by using the following query...