Describe the problem/error/question
Major memory usage from Worker in self hosted n8n instance on relatively complex workflow execution.
I have subworkflows set up to handle the heavy lifting, and set nodes to only pass back minimal execution data to the parent workflow yet I still get compounding memory increases over long workflow execution.
I have my instance deployed on railway with 2 replica workers and 2 replica webhook processors.
Memory doesn’t seem to be reclaimed and has led to out of memory errors on a 32gb memory instance.
What is the error message (if any)?
Please share your workflow
Can’t share the full workflow - contains sensitive data. Here is a screenshot
Parent Workflow
Sub Workflow
Share the output returned by the last node
N/A
Information on your n8n setup
- n8n version: 1.113.3
- Database (default: SQLite): Postgres
- n8n EXECUTIONS_PROCESS setting (default: own, main): Queue
- Running n8n via (Docker, npm, n8n cloud, desktop app): Docker Railway
- Operating system: MacOS
