task executor Error

[lahok]

What is the reason why the task executor cannot start? The same Docker configuration works fine on a different computer, but this error is reported on this computer. Where is this configuration issue?

ragflow-server | * Running on all addresses (0.0.0.0)
ragflow-server | * Running on http://127.0.0.1:9380
ragflow-server | * Running on http://172.21.0.6:9380
ragflow-server | 2025-04-25 16:12:43,515 INFO 21 Press CTRL+C to quit
ragflow-server | Traceback (most recent call last):
ragflow-server | File "/ragflow/rag/svr/task_executor.py", line 738, in
ragflow-server | faulthandler.enable()
ragflow-server | OSError: [Errno 12] Cannot allocate memory
Gracefully stopping... (press Ctrl+C again to force)

[dosubot[bot]]

Hello @lahok! I'm Dosu, here to help you solve bugs, answer questions, and become a contributor while you wait for a human maintainer. Let's tackle that task executor error together!

The error message indicates that the task executor is unable to start due to an "OSError: [Errno 12] Cannot allocate memory." This suggests that the system is running out of memory when trying to execute the faulthandler.enable() function in the task_executor.py file.

Here are a few steps you can take to address this issue:

1. Check System Memory: Ensure that the system where the error occurs has enough available memory. Compare the memory specifications with the system where the Docker configuration works fine.

2. Docker Memory Limits: Verify if there are any memory limits set in the Docker configuration. The default memory limit in RAGFlow's Docker configuration is specified by the MEM_LIMIT environment variable, which defaults to 8073741824 bytes ^[1]. You might need to increase this limit if the system has more available memory.

3. Reduce Task Load: Consider reducing the task load or the number of concurrent tasks being executed. This can help in managing memory usage more effectively.

4. System Configuration: Check for any differences in system configurations between the two computers, such as swap space, available RAM, or other resource limits that might affect memory allocation.

5. Check for Memory Leaks: Ensure there are no memory leaks in the application or other processes consuming excessive memory.

By addressing these areas, you should be able to resolve the memory allocation issue and get the task executor running.

To continue talking to Dosu, mention @dosu.

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[waker55]

if set ragflow-server 0.16.0, not have this problem,but want to use 0.17.0 or higher ,this problem happened

[waker55]

same problem.

vm.max_map_count=262144 has set

help~

[helloxjade]

I’m still encountering a critical memory allocation error when starting RagFlow via Docker Compose, even after following the recommended memory optimization steps. The error persists in task_executor.py during faulthandler.enable():

OSError: [Errno 12] Cannot allocate memory

This error blocks RagFlow from starting entirely, and I’ve exhausted basic memory troubleshooting steps with no success.

[Magicbook1108]

Which version of ragflow you are currently with ?

[lahok]

0.19.0

[VinncentZHZ]

I’m not the only one who hit this—setting the env var PYTHONFAULTHANDLER: "0" fixed it for me.