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Redis Essentials

Redis Essentials

By : Maxwell Dayvson da Silva
4.6 (18)
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Redis Essentials

Redis Essentials

4.6 (18)
By: Maxwell Dayvson da Silva

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 (11 chapters)
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5
5. Clients for Your Favorite Language (Become a Redis Polyglot)
10
Index

Automatic sharding with twemproxy


A few techniques of implementing partitioning in Redis were previously presented, such as range partitioning, hash partitioning, presharding, and consistent hashing. This section will introduce a production-ready tool called twemproxy (pronounced "two-em-proxy"), which is also known as nutcracker. It was created by Twitter, released in 2012, and licensed under Apache License Version 2.0.

twemproxy is a fast and lightweight proxy for Redis and memcached protocols that implements sharding with support for multiple hashing modes, including consistent hashing. It also enables pipelining of requests and responses, and maintains persistent server connections to shard your data automatically across multiple servers. It works on Linux, *BSD, and Smart OS (Solaris). twemproxy is a great tool, and it will help us easily scale Redis horizontally. It has been used in production by companies such as Pinterest, Tumblr, Twitter, Vine, Wikimedia, Digg, and Snapchat.

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