Book Image

Mastering PostgreSQL 15 - Fifth Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 15 - Fifth Edition

By: Hans-Jürgen Schönig

Overview of this book

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, 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. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing 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 use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (16 chapters)

Optimizing Queries for Good Performance

In Chapter 5, Log Files and System Statistics, you learned how to read system statistics and how to make use of what PostgreSQL provides. Now that we are armed with this knowledge, this chapter is all about good query performance. Everybody is looking for good query performance. Therefore, it is important to address this topic in an in-depth way.

In this chapter, you will learn about the following topics:

  • Learning what the optimizer does
  • Understanding execution plans
  • Understanding and fixing joins
  • Enabling and disabling optimizer settings
  • Partitioning data
  • Adjusting parameters for good query performance
  • Making use of parallel queries
  • Introducing just-in-time (JIT) compilation

By the end of this chapter, we will be able to write better and faster queries. If the queries still aren’t very good, we should be able to understand why this is the case. We will also be able to use the new techniques...