Redis is an in-memory data structure store that can be used as a database, cache, and message broker. FastAPI is a modern web framework for building APIs with Python. In this tutorial, we will walk you through how to use Redis with FastAPI to store and retrieve data in a fast and efficient way.
- Install Redis and FastAPI
First, you need to install Redis on your machine. You can download and install Redis from its official website or use a package manager like Homebrew on macOS or apt-get on Ubuntu. Once Redis is installed, you can start the Redis server by running the following command:
redis-server
Next, you need to install FastAPI and the Redis client for Python using pip:
pip install fastapi
pip install aioredis
- Set Up the FastAPI Application
Create a new Python file for your FastAPI application and import the necessary modules:
from fastapi import FastAPI
import aioredis
Create a FastAPI instance and connect to the Redis database:
app = FastAPI()
redis = await aioredis.create_redis_pool('redis://localhost')
- Store Data in Redis
You can store data in Redis using theset
command. For example, to store a key-value pair in Redis, you can use the following code:
@app.post('/store/{key}/{value}')
async def store_data(key: str, value: str):
await redis.set(key, value)
return {'message': 'Data stored successfully'}
- Retrieve Data from Redis
To retrieve data from Redis, you can use theget
command. For example, to retrieve the value of a key stored in Redis, you can use the following code:
@app.get('/retrieve/{key}')
async def retrieve_data(key: str):
value = await redis.get(key)
if value:
return {'value': value}
else:
return {'message': 'Key not found'}
- Run the FastAPI Application
To run your FastAPI application, you can use theuvicorn
command-line tool:
uvicorn app:app --reload
This command will start the FastAPI application and make it accessible at http://localhost:8000.
- Test the Redis Integration
You can test the Redis integration by sending HTTP requests to your FastAPI application using a tool like cURL or Postman. For example, you can store data in Redis using a POST request:
curl -X POST http://localhost:8000/store/mykey/myvalue
And retrieve the data using a GET request:
curl http://localhost:8000/retrieve/mykey
You should see the value myvalue
returned in the response.
In this tutorial, we have shown you how to use Redis with FastAPI to store and retrieve data. Redis is a powerful in-memory data store that can greatly improve the performance of your application. FastAPI is a modern and fast web framework that makes it easy to build APIs with Python. By combining Redis and FastAPI, you can create efficient and scalable applications.
Super useful – thank you
So the official solution of integrating redis to FastAPI is having the redis object just as a global object hanging around in your file. This is a joke, isn't it? It effectively prevents unit-testing and opens the door to all the bad things you can do with global variables in general. A good solution would be to provide the redis connection object over the Dependency Injection system of FastAPI.
Where and how do you initialize the redis client (session)?
This is way too complicated for beginners
TS.DATA cant be use anymore with newer version of redist ?
It’s so complicated for learner like me if only they started with small project to show how Redis works with fastApi and then showed how it works with their own app that would be so much helpful
Thanks