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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

Sets

A Set in Redis is an unordered collection of distinct Strings—it's not possible to add repeated elements to a Set. Internally, a Set is implemented as a hash table, which is the reason that some operations are optimized: member addition, removal, and lookup run in O(1), constant time.

The Set memory footprint will be reduced if all the members are integers, and the total number of elements can be as high as the value of the set-max-intset-entries configuration. Chapter 4, Commands (Where the Wild Things Are), provides more details about this configuration.

The maximum number of elements that a Set can hold is 232-1, which means that there can be more than 4 billion elements per Set.

Some use cases for Sets are:

  • Data filtering: For example, filtering all flights that depart from a given city and arrive in another
  • Data grouping: Grouping all users who viewed similar products (for example, recommendations on Amazon.com)
  • Membership checking: Checking whether a user is on a blacklist...

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