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PostgreSQL 12 High Availability Cookbook

PostgreSQL 12 High Availability Cookbook

By : Shaun Thomas
4.5 (2)
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PostgreSQL 12 High Availability Cookbook

PostgreSQL 12 High Availability Cookbook

4.5 (2)
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)
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Zero-downtime Upgrades

A major version upgrade is the ultimate test of high availability for a database cluster service such as PostgreSQL. This process has advanced drastically since the early days. Consider the procedure required for some older versions:

  • 6.5 – 8.2: dump and restore all databases
  • 8.3 – 8.4: pg_migrator
  • 9.0: pg_upgrade

Beginning with PostgreSQL 9.4 and the addition of logical replication, it became possible to leverage this process to upgrade to any future version without stopping the database service. However, the steps necessary to complete such an upgrade are non-trivial and utilize tools that are not officially provided by the standard community release.

That makes it important for us to explain how zero-downtime upgrades work. Perhaps more often than many will admit, upgrades are postponed to avoid costly downtime for extremely active database...

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