Book Image

Redis 4.x Cookbook

Book Image

Redis 4.x Cookbook

Overview of this book

Redis is considered the world's most popular key-value store database. Its versatility and the wide variety of use cases it enables have made it a popular choice of database for many enterprises. Based on the latest version of Redis, this book provides both step-by-step recipes and relevant the background information required to utilize its features to the fullest. It covers everything from a basic understanding of Redis data types to advanced aspects of Redis high availability, clustering, administration, and troubleshooting. This book will be your great companion to master all aspects of Redis. The book starts off by installing and configuring Redis for you to get started with ease. Moving on, all the data types and features of Redis are introduced in detail. Next, you will learn how to develop applications with Redis in Java, Python, and the Spring Boot web framework. You will also learn replication tasks, which will help you to troubleshoot replication issues. Furthermore, you will learn the steps that need to be undertaken to ensure high availability on your cluster and during production deployment. Toward the end of the book, you will learn the topmost tasks that will help you to troubleshoot your ecosystem efficiently, along with extending Redis by using different modules.
Table of Contents (21 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface
13
Windows Environment Setup
Index

Writing a MapReduce job for Redis


If you are a big data engineer, Redis can play an important role in your application design and development. In a batch job scenario, you can retrieve data in Redis to perform some complex computing algorithms in a distributed way. For an online query, you may store the resulting dataset on a Redis Server to achieve better performance.

In the last recipes of this chapter, we'll show you how to manipulate data in Redis using MapReduce and Spark, both of which are extremely popular distributed computing frameworks in the big data world.

Getting ready…

You need to finish the installation of the Redis Server as we described in the Downloading and installing Redis recipe in Chapter 1, Getting Started with Redis. You need to use the FLUSHALL command to flush all the data in your Redis instance before moving on to the next section.

The requirements of IDE and JDK are the same as in the previous recipe, Connecting to Redis with Spring Data Redis.

A Hadoop cluster is...