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 form and saves it on the server.
The problem is that when I try to run it now, it just hangs forever. The API call gets a 500 error and the n8n dashboard shows the execution as ‘running…’ but it never finishes.
What’s weird is that a file does get created where it’s supposed to, but it’s messed up and can’t be opened as an image. The logs mention some issue with moving files around, but I can’t make sense of it.
I’ve tried asking ChatGPT for help but I’m still stuck. Any ideas on how to fix this or what might be causing it? I’d rather not start from scratch if I can avoid it.
I’ve dealt with similar issues in my n8n Docker setup. One thing that helped was switching to filesystem mode for handling binary data. Just set N8N_DEFAULT_BINARY_DATA_MODE=filesystem as an environment variable. This stopped my workflows from crashing with large files.
Also, double-check your volume mappings and permissions. I once lost a whole day’s work because my container couldn’t write to the host directory properly. Make sure n8n’s data directory is correctly mapped and has the right permissions.
If you’re still having trouble, try increasing the memory allocation for your Docker container. I found that giving n8n more RAM solved a lot of mysterious hangups and corruptions.
Lastly, don’t forget to enable detailed logging. It helped me pinpoint exactly where things were going wrong in my workflow. Good luck sorting it out!
hey man, maybe check docker logs for errors? i found that upping ram fixed it for me. also, ensure proper volume permissions. sometimes a fresh rebuild does the trick. hope it helps!
Have you considered checking your Docker container’s resource allocation? Sometimes, when n8n doesn’t have enough memory or CPU, it can cause workflows to hang and produce corrupted files. I’d recommend increasing the container’s resources, particularly RAM, if possible.
Also, it might be worth reviewing your workflow’s file handling steps. Ensure that you’re using the correct paths and that the n8n container has the necessary permissions to write files where it’s supposed to. Sometimes, permission issues can cause similar symptoms.
If those don’t help, you might want to try running the workflow step by step to identify exactly where it’s failing. The n8n dashboard should allow you to do this. It could help pinpoint whether it’s a specific node causing the issue or a more general problem.
Lastly, double-check your Docker volumes to ensure data persistence. Improper volume configuration can sometimes lead to unexpected behavior and data corruption.