Book Image

Mastering Redis

By : Jeremy Nelson
Book Image

Mastering Redis

By: Jeremy Nelson

Overview of this book

Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Table of Contents (18 chapters)
Mastering Redis
About the Author
About the Reviewers

Configuring Redis

Running a memory-efficient Redis database starts with understanding all of the memory related directives that can be set in the redis.conf configuration file. The redis.conf file provides a rich, inline documentation for most directives, making the sometimes complex options for memory optimization easier to understand, change, and test. Most of the Redis configuration directives can also be set at runtime using the CONFIG SET command.

For LRU related configuration directives are part of the LRU key evictions topic in this chapter.

The first configuration directive that we'll examine that has memory trade-offs is the rdbchecksumdirective, with the default value of yes places a cyclic redundancy check 65-bit (CRC64) checksum at the end of an RDB snapshot file as an anti-corruption measure. Performing an RDB snapshot with this CRC64 checksum imposes a 10% increase in memory usage when Redis spawns a child process that saves the snapshot in the disk.

The second configuration directive...