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 for performance 


High performance in PostgreSQL can be achieved by having good configuration settings and proper physical schema including indexes. Execution plans depend on the statistics gathered from the tables; fortunately, in PostgreSQL, one can control the behavior of the statistic collection.

For developers, it is important to get good performance. When handling foreign keys, there are two recommendations to increase performance, which are as follows:

  • Always index foreign keys: Indexing a table foreign keys allows PostgreSQL to fetch data from the table using an index scan.
  • Increase the column statistic target on foreign keys: This is also applicable to all predicates because it allows PostgreSQL to have a better estimation of the number of rows. The default statistic target is 100, and the maximum is 10,000. Increasing the statistics target makes the ANALYZE command slower.

Both of the preceding approaches require the identifying of foreign keys. The pg_catalog.pg_constraint table...