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

Hot standby and read scalability


Hot standby (or read replicas) is the name for the PostgreSQL feature that allows us to connect to a standby node and execute read-only queries. Most importantly, hot standby allows us to run queries while the standby is being continuously updated through either file-based or streaming replication.

Hot standby allows you to offload large or long-running queries or parts of your read-only workload to the standby nodes. Should you need to switch over or failover to the standby node, your queries will keep executing during the promotion process to avoid any interruption of service.

You can add additional hot standby nodes to scale the read-only workload. There is no hard limit on the number of standby nodes, as long as you ensure that enough server resources are available and parameters are set correctly—10, 20, or more nodes are easily possible.

There are two main capabilities provided by a hot standby node. The first is that the standby node provides a secondary...