Cache setting Redis, still reporting exception upon startup!

[Sdreamery]

Bug description

In version 4.0, I have already set the cache storage path and placed it in Redis, where I can see the cached data. However, when starting with gunicorn, I still encounter an exception: UserWarning: Using the in memory storage for tracking rate limits as no storage was explicitly specified This is not recommended for production use. See: https://flask-limiter.readthedocs.io#configuring -a-storage-backend for documentation about configuring the storage backend.

How to reproduce the bug

I don't know what to do.

Screenshots/recordings

No response

Superset version

master / latest-dev

Python version

3.9

Node version

16

Browser

Chrome

Additional context

No response

Checklist

• I have searched Superset docs and Slack and didn't find a solution to my problem.
• I have searched the GitHub issue tracker and didn't find a similar bug report.
• I have checked Superset's logs for errors and if I found a relevant Python stacktrace, I included it here as text in the "additional context" section.

[dosubot]

The warning you're encountering suggests that the rate limiting storage backend is not correctly configured to use Redis. To resolve this, ensure that the RATELIMIT_STORAGE_URI is set to your Redis URI in your superset_config.py file.

Here is the relevant configuration you need to add or verify:

RATELIMIT_STORAGE_URI = "redis://host:port"

Replace "redis://host:port" with the actual URI of your Redis server. Additionally, ensure that the redis Python package is installed:

pip install Flask-Limiter[redis]

This should configure Flask-Limiter to use Redis for rate limiting, avoiding the fallback to in-memory storage ^[1][2].

To continue talking to Dosu, mention @dosu.

[Sdreamery]

The warning you're encountering suggests that the rate limiting storage backend is not correctly configured to use Redis. To resolve this, ensure that the RATELIMIT_STORAGE_URI is set to your Redis URI in your superset_config.py file.

Here is the relevant configuration you need to add or verify:

RATELIMIT_STORAGE_URI = "redis://host:port"

Replace "redis://host:port" with the actual URI of your Redis server. Additionally, ensure that the redis Python package is installed:

pip install Flask-Limiter[redis]

This should configure Flask-Limiter to use Redis for rate limiting, avoiding the fallback to in-memory storage [1][2].

To continue talking to Dosu, mention @dosu.

Sure enough, after setting the parameter RATELIMIT-STORAGE-URI, not only did this problem solve, but another alarm (Warning: root: Class' werkzeug. local. LocalProxy 'is not mapped) also disappeared. Thank you very much!

[rusackas]

@Sdreamery Glad it worked out! If you can think of a way to improve the code comments and/or documentation, let us know!