Book Image

Mastering PostgreSQL 13 - Fourth Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 13 - Fourth Edition

By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease. Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, and user management, to manage and maintain your database. You’ll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to get the most out of your database by executing advanced administrative tasks.
Table of Contents (15 chapters)

Understanding additional B-tree features

In PostgreSQL, indexing is a large field and covers many aspects of database work. As I have outlined in this book already, indexing is the key to performance. There is no good performance without proper indexing. Therefore, it is worth inspecting the indexing-related features that we will cover in the following subsections in detail.

Combined indexes

In my job as a professional PostgreSQL support vendor, I am often asked about the difference between combined and individual indexes. In this section, I will try to shed some light on this question.

The general rule is that if a single index can answer your question, it is usually the best choice. However, you cannot index all possible combinations of fields people are filtering on. What you can do instead is use the properties of combined indexes to achieve as much gain as possible.

Let's suppose we have a table containing three columns: postal_code, last_name, and first_name. A telephone book...