Are you looking for more information about FastAPI Redis Cache? Our Server Support team can help you with your questions and concerns.

All About FastAPI Redis Cache

According to our experts, it is a Python library. It offers caching functionality for FastAPI web applications with Redis as the caching backend.

Caching helps speed up web applications by storing frequently accessed data in the cache rather than querying it from the database repeatedly. On the other hand, Redis is an in-memory data store that works as a caching backend due to its fast read and write operations.

FastAPI Redis Cache allows developers to cache the response of API endpoints. Furthermore, Redis is used as the caching backend by the library. Addtionally, it supports features like expiration times, conditional caching, and cache invalidation.

In other words, FastAPI Redis Cache is a handy tool for developers as it helps build FastAPI web applications that need efficient caching of frequently accessed data.

Let’s take a look at some of the features:

• Cache response data for async and non-async path operation functions.
• Requests with Cache-Control header containing no-cache or no-store are handled correctly.
• The lifetime of cached data is configured separately for each API endpoint.

Installing & Using Fastapi Redis Cache

We can easily install fastapi-redis-cache with this command:

pip install fastapi-redis-cache

Then, we can initiate Redis with these steps:

1. To begin with, we have to create an FastApiRedisCache instance when the application starts. This is done by defining an event handler for the “startup” event as shown below:

   
2. Next, we have to call the init method. Our experts recommend adding the Redis database argument for this command.

Let us know in the comments if you have any additional questions.

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Conclusion

To sum up, our Support Techs introduced us to fastapi-redis-cache.