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

GIS and RestMQ

Geographical data structures and commands have been added to Redis's 3.2 branch and offer new opportunities to add GIS capabilities to Redis-based projects. Before we examine how a GIS-based messaging system can be built with Redis, we'll explore the basic operations of these newer geographical-based commands.


Currently, the geographical commands and functionality is only available in the Redis 3.2 version. To use these commands, you'll need to download the 3.2 release of Redis and compile it for use.

The geographical-based commands operate by using a technique called geohashing that is a latitude/longitude encoding system which constructs a hierarchical spatial structure dividing space into buckets on a grid. The geohash algorithm was created by Gustavo Niemeyer for the web service. The construction of geohash allows for nearby geographical locations to share the same initial characters that, as the hash's characters are defined, the precision of the...