Book Image

Learn PostgreSQL - Second Edition

By : Luca Ferrari, Enrico Pirozzi
1 (2)
Book Image

Learn PostgreSQL - Second Edition

1 (2)
By: Luca Ferrari, Enrico Pirozzi

Overview of this book

The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance. This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals. By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.
Table of Contents (22 chapters)
20
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21
Index

Using subqueries

In this section, we will talk about subqueries. Subqueries can be described as nested queries – we can nest a query inside another query using parentheses. Subqueries can return a single value or a recordset, just like regular queries. We will start by introducing subqueries using the IN/NOT IN operator.

Subqueries and the IN/NOT IN condition

Let’s start with the IN operator; we can use the IN operator inside a where clause instead of using multiple OR conditions. For example, if you wanted to search for all categories that have the value pk=1 or the value pk=2, you would have to perform the following statement:

forumdb=> select * from categories where pk=1 or pk=2;
 pk |  title   |         description     
----+----------+------------------------------
  1 | Database | Database related discussions
  2 | Unix     | Unix and Linux discussions
(2 rows)

Another way to reach the same outcome is the following:

forumdb=> select ...