Book Image

PostgreSQL 14 Administration Cookbook

By : Simon Riggs, Gianni Ciolli
5 (1)
Book Image

PostgreSQL 14 Administration Cookbook

5 (1)
By: Simon Riggs, Gianni Ciolli

Overview of this book

PostgreSQL is a powerful, open-source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 14 allows you to scale up your PostgreSQL infrastructure. With this book, you'll take a step-by-step, recipe-based approach to effective PostgreSQL administration. This book will get you up and running with all the latest features of PostgreSQL 14 while helping you explore the entire database ecosystem. You’ll learn how to tackle a variety of problems and pain points you may face as a database administrator such as creating tables, managing views, improving performance, and securing your database. As you make progress, the book will draw attention to important topics such as monitoring roles, validating backups, regular maintenance, and recovery of your PostgreSQL 14 database. This will help you understand roles, ensuring high availability, concurrency, and replication. Along with updated recipes, this book touches upon important areas like using generated columns, TOAST compression, PostgreSQL on the cloud, and much more. By the end of this PostgreSQL book, you’ll have gained the knowledge you need to manage your PostgreSQL 14 database efficiently, both in the cloud and on-premise.
Table of Contents (14 chapters)

Placing query output into psql variables

It is also possible to store some values that have been produced by a query into variables – for instance, to reuse them later in other queries.

In this recipe, we will demonstrate this approach with a concrete example.

Getting ready

In the Controlling automatic database maintenance recipe of Chapter 9, Regular Maintenance, we will describe VACUUM, showing that it runs regularly on each table based on the number of rows that might need vacuuming (dead rows). The VACUUM command will run if that number exceeds a given threshold, which by default is just above 20% of the row count.

In this recipe, we will create a script that picks the table with the largest number of dead rows and runs VACUUM on it, assuming you have some tables already in existence.

How to do it…

The script is as follows:

SELECT schemaname
, relname
, n_dead_tup
, n_live_tup...