Book Image

PostgreSQL 11 Administration Cookbook

By : Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala
Book Image

PostgreSQL 11 Administration Cookbook

By: Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala

Overview of this book

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication. By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Setting up streaming replication


Log shipping is a replication technique that's used by many database management systems. The master records change in a transaction log (WAL), and then the log data is shipped from the master to the standby, where the log is replayed.

In PostgreSQL, PSR transfers WAL data directly from the master to the standby, giving us integrated security and reduced replication delay.

There are two main ways to set up streaming replication: with or without an additional archive. Setting it up without an external archive is presented here, as it is the simpler and more efficient way. However, there is one downside that suggests that the simpler approach may not be appropriate for larger databases, which is explained later in this recipe.

Getting ready

If you haven't read the Replication concepts section and the Replication best practices recipes at the start of this chapter, go and read them now. Note that streaming replication refers to the master node as the primary node...