Book Image

Learning PostgreSQL 10 - Second Edition

Book Image

Learning PostgreSQL 10 - Second Edition

Overview of this book

PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10. We’ll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we’ll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We’ll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. By the end of this book, you’ll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.
Table of Contents (23 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Tuning performance for read 


PostgreSQL provides the means to figure out why a certain query is slow. Behind the scenes, PostgreSQL analyzes tables, collects statistics from them, and builds histograms using autovacuuming. Autovacuuming, in general, is used to recover disk space, update table statistics, and perform other maintenance tasks, such as preventing transaction ID wraparound. Table statistics allow PostgreSQL to pick up an execution plan at the least cost. The least cost is calculated by taking into account the IO and, naturally, the CPU cost. Also, PostgreSQL enables users to see the generated execution plan by providing the EXPLAIN command.

For beginners, it is extremely useful to write the same query in different ways and compare the results. For example, in some cases, the NOT IN construct can be converted to LEFT JOIN or NOT EXIST. Also, the IN construct can be rewritten using INNER JOIN as well as EXISTS. Writing the query in several ways teaches the developer when to use...