Book Image

Mastering PostgreSQL 12 - Third Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 12 - Third Edition

By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become the most advanced open source database on the market. This third edition of Mastering PostgreSQL helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both physical and technical aspects of system architecture with ease. Starting with an introduction to the newly released features in PostgreSQL 12, this book will help you build efficient and fault-tolerant PostgreSQL applications. You’ll thoroughly examine the advanced features of PostgreSQL, including logical replication, database clusters, performance tuning, monitoring, and user management. You’ll also work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and understand how to move from Oracle to PostgreSQL. As you progress through the chapters, you’ll cover transactions, locking, indexes, and how to optimize queries for improved performance. Additionally, you’ll learn how to manage network security and explore backups and replications while understanding useful PostgreSQL extensions to help you in optimizing 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 implementing advanced administrative tasks effortlessly.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Basic Overview
4
Section 2: Advanced Concepts

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. Armed with this knowledge, this chapter is all about good query performance. 

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 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 we will have learned about to partition data.

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