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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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Defusing cache poisoning

Not every DBA has experienced disk cache poisoning. Those who have, recognize it as a bane to any critical OLTP system and a source of constant stress in a highly available environment.

When the operating system fetches disk blocks into memory, it also applies arbitrary aging, promotion, and purging heuristics. Several of these can invalidate cached data in the presence of an originating process change such as a database crash or restart. Any memory stored by PostgreSQL in shared memory is also purged upon database shutdown.

Perhaps the worst thing a DBA can do following a database crash or restart is to immediately make the database available to applications and users. Unless storage is based on SSDs or a very capable SAN, random read performance will drop by two or three orders of magnitude, as data is being supplied by slow disks instead of by memory...

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