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

Chapter 9. Advanced Stack

In this chapter, we will learn to build and manipulate a fault-tolerant, high-performance foundation for our PostgreSQL clusters. We will cover the following recipes in this chapter:

  • Preparing systems for the stack
  • Starting with the Linux Volume Manager
  • Adding block-level replication
  • Incorporating the second LVM layer
  • Verifying a DRBD filesystem
  • Correcting a DRBD split brain
  • Formatting an XFS filesystem
  • Tweaking XFS performance
  • Maintaining an XFS filesystem
  • Using LVM snapshots
  • Switching live stack systems
  • Detaching a problematic node
  • Building and attaching a new node