Book Image

Redis Essentials

By : Maxwell Dayvson da Silva
Book Image

Redis Essentials

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

Python

There are many Redis client libraries for the Python language, and we are going to present redis-py, the most mature Redis client implementation for Python. The Python version used for all examples is 2.7.

Installing redis-py (it is recommended to install it in a virtualenv):

$ pip install redis

In this section, the Python code has comments that represent the result of the previous expression. It is recommended to run all of the code from this section in the interactive Python interpreter (python or ipython in the command line).

The basic commands in Python

Most Redis commands are accessed in redis-py through a very simple interface. Each executed command returns a value synchronously. Some basic commands are shown in the following code, and after this, you should be able to figure out how most of them work:

import redis
client = redis.StrictRedis(host='localhost', port=6379)

client.set("string:my_key", "Hello World")
client.get("string:my_key"...