Basics of Redis

Basics

Redis is:

• NoSQL
• KeyValue
• In memory
• Data Structure Server
  • binary safe strings
  • lists, sets, sorted sets, hashes
  • bitmaps, hyperloglogs
• Open source

Redis is:

• Fast
• Low CPU Requirement
• Scalable

Redis can be used as:

• Cache
• Analytics
• Leaderboard
• Queues
• Cookie storage
• Expiring data
• Messaging
• High I/O workloads
• API throttlings

How to persist your data

• Snapshot
• AOF: Append Only File

Pros:

• Redis has both data store and job queue built in
• Redis is a data structure server so is has flexibe data structures
• Redis is fast

Cons:

• Redis used a lot of RAM
• Redis can be be queued by value

Comparisons

• SQL
• NoSQL
• Flat file
• Rabbit
• ActiveMQ

How to Use it

Redis can be used as a handy data storage for data science projects. It can also be used as an API. Redis can be used on a medium data file. It can be used as a way to store medium size data file and also read out for analysis.

Installation

• Install redis on ubuntu
• install redis on Mac

Test

Invoke the command line

redis-cli

Useful commands

• set: set test "just a test"
• get: get test

Python

redis on pypi

import redis

r \= redis.Redis(host\='localhost', port\=6379, db\=0)

print("setting keys")
r.set('test', 'just a test in python')

print('getting values')
print(

r.get('test')

)

FastAPI

The youtube channel Full Stack Book made a short video on how to integrate redis into FastAPI¹.