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Redis 4.x Cookbook

Redis 4.x Cookbook

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Redis 4.x Cookbook

Redis 4.x Cookbook

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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 (15 chapters)
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Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Sections
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Free Chapter
1
Getting Started with Redis
Getting Started with Redis
Introduction
Downloading and installing Redis
Starting and shutting down Redis
Connecting to Redis with redis-cli
Getting server information
Understanding the Redis Event Model
Understanding the Redis protocol
2
Data Types
Data Types
Introduction
Using the string data type
Using the list data type
Using the hash data type
Using the set data type
Using the sorted set data type
Using the HyperLogLog data type
Using the Geo data type
Managing keys
3
Data Features
Data Features
Introduction
Using bitmaps
Setting expiration on keys
Using SORT
Using pipelines
Understanding Redis transactions
Using PubSub
Using Lua
Debugging Lua
4
Developing with Redis
Developing with Redis
Introduction
When to use Redis in your application
Using the correct data types
Using the correct Redis APIs
Connecting to Redis with Java
Connecting to Redis with Python
Connecting to Redis with Spring Data Redis
Writing a MapReduce job for Redis
Writing a Spark job for Redis
5
Replication
Replication
Introduction
Setting up Redis replication
Optimizing replication
Troubleshooting replication
6
Persistence
Persistence
Introduction
Manipulating RDB
Exploring RDB
Manipulating AOF
Exploring AOF
Combining RDB and AOF
7
Setting Up High Availability and Cluster
Setting Up High Availability and Cluster
Introduction
Setting up Sentinel
Testing Sentinel
Administrating Sentinel
Setting up Redis Cluster
Testing Redis Cluster
Administrating Redis Cluster
8
Deploying to a Production Environment
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Deploying to a Production Environment
Introduction
Deploying Redis on Linux
Securing Redis
Setting client connection options
Configuring memory policy
Benchmarking
Logging
9
Administrating Redis
Administrating Redis
Introduction
Managing Redis Server configurations
Operating Redis using bin/redis-cli
Backup and restore
Monitoring memory
Managing clients
Data migration
10
Troubleshooting Redis
Troubleshooting Redis
Introduction
Health checking in Redis
Identifying slow queries using the SLOWLOG
Troubleshooting latency issues
Troubleshooting memory issues
Troubleshooting crash issues
11
Extending Redis with Redis Modules
Extending Redis with Redis Modules
Introduction
Loading a Redis module
Writing a Redis module
12
The Redis Ecosystem
The Redis Ecosystem
Introduction
The Redisson client
Twemproxy
Codis – a proxy-based high-performance Redis Cluster solution
The CacheCloud Redis management system
Pika – a Redis-compatible NoSQL database
13
Windows Environment Setup
Windows Environment Setup
14
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Configuring memory policy

As an in-memory data store, Redis uses more memory space than databases that always persist data to disk. Although nowadays the cost of memory is lower, it is still necessary to budget the memory space for Redis in the production environment. In addition, as Redis is often used as a cache, besides setting timeout values to make keys expire automatically, we also need to consider the conviction policy when the cache is full. In this recipe, we will introduce two important memory configuration options in Redis with examples.

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.

How to do it...

The steps for configuring memory policies are as follows:

  1. To get the current memory usage, use INFO MEMORY:
127.0.0.1:6379> INFO MEMORY 
# Memory 
used_memory:836848 
used_memory_human:817.23K 
used_memory_rss:10174464 
used_memory_rss_human:9.70M 
used_memory_peak...

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