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)
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...