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

Chapter 5

  1. There is a lot of information that's collected by the stats collector in PostgreSQL. A full overview of what there is can be found in the official PostgreSQL documentation, which is available online at https://www.postgresql.org/docs/11/static/monitoring-stats.html.
  2. There are various ways to detect performance problems in PostgreSQL. One way is to make use of pg_stat_statements. Other options are to use auto_explain or standard PostgreSQL log files. Depending on your needs, you can decide on which method is best for you. The following blog shows you how this kind of information can be extracted from the system: https://www.cybertec-postgresql.com/en/3-ways-to-detect-slow-queries-in-postgresql/.
  3. PostgreSQL has various options for creating logs. The most commonly used one is to simply create standard textual logs. However, you can also make...