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
About the Author
About the Reviewer
Customer Feedback

Chapter 3. Pooling Resources

In this chapter, we will learn to combine and abstract connectivity to isolate and protect the database. We will cover the following recipes in this chapter:

  • Determining connection costs and limits
  • Installing PgBouncer
  • Configuring PgBouncer safely
  • Connecting to PgBouncer
  • Listing PgBouncer server connections
  • Listing PgBouncer client connections
  • Evaluating PgBouncer pool health
  • Installing pgpool
  • Configuring pgpool for master/slave mode
  • Testing a write query on pgpool
  • Swapping active nodes with pgpool
  • Combining the power of pgBouncer and pgpool