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

Chapter 16. Scalability

This final chapter of the book will be dedicated to the problem of scalability. This term means the ability of a software system to grow with the growth of the business using it. PostgreSQL does provide some features that help building a scalable solution but, strictly speaking, PostgreSQL itself is not scalable. It can effectively utilize the resources of a single machine:

  • It uses multiple CPU cores to perform a single query faster with parallel query
  • When configured properly, it can use all available memory for caching
  • The size of the database is not limited by PostgreSQL; supporting multiple tablespaces, it can use several hard disks and with partitioning, it can do this quickly and transparently to the users

However, when it comes to spreading a database solution to multiple machines, it can be quite problematic because a standard PostgreSQL server can only run on a single machine. That's why in this chapter, we will talk not only about PostgreSQL itself, but rather...