Book Image

Redis Essentials

Book Image

Redis Essentials

Overview of this book

Redis is the most popular in-memory key-value data store. It's very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need. Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry. We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps. After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance.
Table of Contents (17 chapters)
Redis Essentials
Credits
About the Authors
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
5
Clients for Your Favorite Language (Become a Redis Polyglot)
Index

Partitioning


Partitioning is a general term used to describe the act of breaking up data and distributing it across different hosts. There are two types of partitioning: horizontal partitioning and vertical partitioning. Partitioning is performed in a cluster of hosts when better performance, maintainability, or availability is desired.

When Redis was initially designed, it had no intention to be a distributed data store; thus, it cannot natively distribute its data among different instances. It was designed to work well on a single server. Redis Cluster is designed to solve distributed problems in Redis.

Over time, Redis storage may grow to such an extent that a single server may not be enough to store all of the data. The performance of reading from and writing to a single server may also decline.

As we saw in the previous section, we can use replicas to optimize reads and remove some bottlenecks from the master instance, but in many cases, this is not enough. Different needs require different...