Describe the problem/error/question
Why does n8n seem to not utilise the resources it has been allocated. Instead, the workflows just run out of memory.
Using a n8n container brought up with:
docker run -it --rm -m 20g --cpus="10" --name n8n -p 5678:5678 -e N8N_DEFAULT_BINARY_DATA_MODE=filesystem -e N8N_PAYLOAD_SIZE_MAX=10240 -e NODE_OPTIONS="--max-old-space-size=20240" -v ~/.n8n:/home/node/.n8n n8nio/n8n:latest
cpus provided: 10 out of 24
memory provided: 20GB out of 32GB
What is the error message (if any)?
Please share your workflow
In the wf shown above, the binary file being converted is around 30MB in size.
The problem occurs in the “Code2” block, where the data from the binary (csv) file is being worked upon.
Why is it that despite the extensive resources provided, the operation fails?
Is the bottleneck in n8n or node?
And is there a solution or workaround to permanently avoid this issue?
Information on your n8n setup
n8n version: 1.8.2
Database (default: SQLite): default
n8n EXECUTIONS_PROCESS setting (default: own, main): default
Running n8n via (Docker, npm, n8n cloud, desktop app): docker
Operating system: Windows 11
It might not be running out of memory and it could be something else, The error message you see is fairly generic and indicates that n8n has crashed the most likely cause is normally memory.
Does the docker log file show a memory issue? Are you also able to share the complete worklfow and sample file so we can take a look at what you are doing?
Hey @Jon , sending you the actual data with a simplified workflow via DM.
docker run command above).
Subsequently, no error is actually being shown in the docker log.
If you can share it in the post it might be easier as there are a few of us on the team and I may not be the one that ends up looking into this
It sounds like it has moved from a memory issue then to maybe something else, Don’t forge the code node needs to set up a new sandbox for each item depending on what you are doing which can consume more resources so it could be that the best solution is to use a sub worklfow and break down your items into chunks.
Maybe even look into queue mode and having multiple workers as well so you can make the most of the resources you have available.
Hey, so i’m already using 4 nested levels of sub-workflows.
This workflow is on the 3rd level:
Currently, the ‘Code1’ node, where items retrieved from a binary (txt) file are being formatted and separated for batching/load division, is the one that’s failing (hanging, along with the n8n instance in general).
Would love to know how to simply this further!
The following charts are for an approximate duration of 25 mins. since this workflow execution was started (no other workflow is being executed during this time):
So that Binary file if I download the file from
Binary to JSON crashes a text editor on my local machine so I am not surprised that n8n is having a hard time with it.
What I would do is write the file to disk then read the data in chunks to process it maybe using the csv-parse package we ship with as well to take care of some of the heavy lifting.
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