Large file Youtube Upload

[Alexandre_Leitao]

Guys simple question here. My n8n is set to use file system and I’m trying to upload a 4 hours video to youtube (~35GB). If I use a smaller file it works flawlessly but as soon as I bring in the big guns it gets to read from the disk and stay there forever (literally). Clear to me that the problem is it can’t handle that file size (maybe N8N maybe my server) Question is: Any workaround that?

Thx for the help!

Information on your n8n setup

• **n8n version:**1.64.3
• **Database (default: SQLite):**SQL Light
• **n8n EXECUTIONS_PROCESS setting (default: own, main):**Own?
• **Running n8n via (Docker, npm, n8n cloud, desktop app):**Docker
• **Operating system:**Linux Ubuntu

[Nskha]

How to handle large data/files in n8n?

Welcome to the community @Martin_Neumann! As n8n keeps always all the data of the workflow in memory will the SplitInBatches Node alone not have a positive impact on memory use. It is really required to split it up into different workflows for it to work. If you work with large binary data, you can also try setting the environment variable N8N_DEFAULT_BINARY_DATA_MODE=filesystem. It will then save the binary data on disk rather than memory and DB and will so require much less RAM.

or

ChatGPT - Large File Upload Workaround

[Alexandre_Leitao]

Actually I read the first post before and I did set it to filesystem with no success that’s why I started this thread.

As far as the chatgpt was the first place I went even before coming here. Curl doesn’t work need to use oauth2 to upload a video, external tool I couldn’t find any that I could trigger, increase docker memory we are talking about a 35-40 gb file só pretty sure will not gonna work. I’m developing a rest API to do the upload just wanted to know if I am missing something but looks like not.