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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

Multiple Redis databases


Redis comes with support for multiple databases, which is very similar to the concept in SQL databases. In SQL databases, such as MySQL, PostgreSQL, and Oracle, you can define a name for your databases. However, Redis databases are represented by numbers.

You learned in Chapter 4, Commands (Where the Wild Things Are), that we can switch between databases using the command SELECT <dbid>. Although multiple databases work fine, this has become a deprecated feature, so we do not recommend that you use it in production.

It has been deprecated because it is, in general, better to launch multiple Redis servers on the same machine rather than using multiple databases. Redis is single threaded. Thus, a single Redis server with multiple databases only uses one CPU core. On the other hand, if multiple Redis servers are used, it is possible to take advantage of multiple CPU cores.

Multiple databases make administration of Redis harder and may complicate performance and resource...

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