Book Image

PostgreSQL High Availability Cookbook - Second Edition

By : Shaun Thomas
Book Image

PostgreSQL High Availability Cookbook - Second Edition

By: Shaun Thomas

Overview of this book

Databases are nothing without the data they store. In the event of a failure - catastrophic or otherwise - immediate recovery is essential. By carefully combining multiple servers, it’s even possible to hide the fact a failure occurred at all. From hardware selection to software stacks and horizontal scalability, this book will help you build a versatile PostgreSQL cluster that will survive crashes, resist data corruption, and grow smoothly with customer demand. It all begins with hardware selection for the skeleton of an efficient PostgreSQL database cluster. Then it’s on to preventing downtime as well as troubleshooting some real life problems that administrators commonly face. Next, we add database monitoring to the stack, using collectd, Nagios, and Graphite. And no stack is complete without replication using multiple internal and external tools, including the newly released pglogical extension. Pacemaker or Raft consensus tools are the final piece to grant the cluster the ability to heal itself. We even round off by tackling the complex problem of data scalability. This book exploits many new features introduced in PostgreSQL 9.6 to make the database more efficient and adaptive, and most importantly, keep it running.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.Packtpub.com
Customer Feedback
Preface

Combining and ordering related actions


There are two final pieces of the puzzle that will produce a fully functional Pacemaker cluster. At this point, we have three independent base-level entries in Pacemaker: DRBD, the PGServer group, and the e-mail alert. They are independent because Pacemaker may start or stop them on any server in the list of active nodes.

We can fix this by defining a colocation between related resources. When we create a colocation, we are effectively stating that, wherever this service goes, this other service should follow. Of course, this by itself is not sufficient. We also need to declare the expected order necessary for the services to start.

In this recipe, we'll finish our Pacemaker setup by creating the necessary colocation entries, and defining a service start order.

Getting ready

As we're continuing to configure Pacemaker, make sure that you've followed all the previous recipes.

How to do it...

Perform these steps on any Pacemaker node as the root user:

  1. Add a colocation...