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

Indexes


An index is a physical database object that is defined on a table column or a list of columns. In PostgreSQL, there are many types of indexes and several ways to use them. Indexes can be used, in general, to do the following:

  • Optimize performance: an index allows the efficient retrieval of a small number of rows from the table. Whether or not a number of rows is considered small is determined by the total number of rows in the table and execution planner settings.
  • Validate constraints: An index can be used to validate the constraints on several rows. For example, the UNIQUE check constraint creates a unique index on the column behind the scenes. 

The following example shows how to use GIST to forbid overlapping between date ranges. For more information, have a look at https://www.postgresql.org/docs/current/static/rangetypes.html

CREATE TABLE no_date_overlap (
    date_range daterange,
    EXCLUDE USING GIST (date_range WITH &&)
);

To test date range overlapping:

car_portal=# INSERT...