Book Image

PostgreSQL 12 High Availability Cookbook - Third Edition

By : Shaun Thomas
Book Image

PostgreSQL 12 High Availability Cookbook - Third Edition

By: Shaun Thomas

Overview of this book

Databases are nothing without the data they store. In the event of an outage or technical catastrophe, immediate recovery is essential. This updated edition ensures that you will learn the important concepts related to node architecture design, as well as techniques such as using repmgr for failover automation. From cluster layout and hardware selection to software stacks and horizontal scalability, this PostgreSQL cookbook will help you build a PostgreSQL cluster that will survive crashes, resist data corruption, and grow smoothly with customer demand. You’ll start by understanding how to plan a PostgreSQL database architecture that is resistant to outages and scalable, as it is the scaffolding on which everything rests. With the bedrock established, you'll cover the topics that PostgreSQL database administrators need to know to manage a highly available cluster. This includes configuration, troubleshooting, monitoring and alerting, backups through proxies, failover automation, and other considerations that are essential for a healthy PostgreSQL cluster. Later, you’ll learn to use multi-master replication to maximize server availability. Later chapters will guide you through managing major version upgrades without downtime. By the end of this book, you’ll have learned how to build an efficient and adaptive PostgreSQL 12 database cluster.
Table of Contents (17 chapters)

Checking the pg_stat_activity view

Another source of valuable troubleshooting information is PostgreSQL itself. There are numerous views, tables, and functions dedicated to tracking and reporting various statistics and operating statuses for each hosted database. Principal among these is the pg_stat_activity view.

This view tells us what every database client is doing, where it is connected from, which user account it is operating under, and other important values. When administering a highly available database, we must have either iron control over what executes in the database or the ability to quickly and easily assess its execution state. Besides using this data to track suspicious activity, we can also cancel long-running queries or Cartesian products, or simply examine the connection turnover.

We probably use this view into the database more than any other, and it forms...