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
Other Books You May Enjoy
14
Index

Handling objects with quoted names

PostgreSQL object names can contain spaces and mixed-case characters if we enclose the table names in double quotes. This can cause some difficulties and security issues, so this recipe is designed to help you if you get stuck with this kind of problem.

Case-sensitivity issues can often be a problem for people more used to working with other database systems, such as MySQL, or for people who are facing the challenge of migrating code away from MySQL.

Getting ready

First, let’s create a table that uses a quoted name with mixed cases, such as the following:

CREATE TABLE "MyCust"
AS
SELECT * FROM cust;

How to do it...

If we try to access these tables without the proper case, we get this error:

postgres=# SELECT count(*) FROM MyCust;
ERROR:  relation "mycust" does not exist
LINE 1: SELECT * FROM MyCust;

So we write it in the correct case:

postgres=# SELECT count(*) FROM MyCust;
ERROR: ...