Hey everyone, I’m having trouble with my n8n setup in Docker. My workflow used to work fine, but now it’s acting up. It’s a simple process that takes an image from a web upload and saves it on the server. But lately, it just hangs and gives a 500 error.
When I check the n8n dashboard, the execution is stuck on “running…” forever. The file does get created, but it’s messed up and can’t be opened as an image.
The logs show some issue with moving files from a temp folder to the final spot. I’ve tried everything I can think of, even asked ChatGPT, but I’m stumped.
Anyone run into something like this before? Any ideas on how to fix it or what might be causing it? I’d really appreciate some help!
heya SwimmingShark, sounds like a real headache! have u tried clearing the temp folder? sometimes old junk gets stuck there n messes things up. also, check ur disk space - if its full, weird stuff happens. maybe try restarting the docker container too? that can fix random glitches. good luck!
I’ve encountered similar issues with n8n in Docker before. In my experience, the problem often stems from file permission issues where the n8n user doesn’t have the proper rights to move files from the temporary directory to the final destination.
It might help to verify that the container has write access to both directories and consider mounting the destination folder as a volume in your Docker configuration to avoid such pitfalls. Checking both the Docker and n8n logs may reveal container-level errors that could be missed otherwise. Testing with a smaller image could also highlight if file size or timeouts are contributing factors. Rebuilding your Docker image to update dependencies might ultimately resolve the issue.
I’ve dealt with similar n8n hiccups before. It sounds like you might be facing a race condition or a resource constraint. Have you considered increasing the timeout settings for your workflow? Sometimes, larger images take longer to process, causing these hang-ups.
Also, take a look at your file system’s permissions and quotas. I once had a similar problem that was resolved by adjusting these settings. If all else fails, you might want to consider implementing a retry mechanism in your workflow to handle temporary failures more gracefully.
Remember to backup your data before making any significant changes. Good luck troubleshooting!