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Project description
django-q-mt
Multi-threaded django-q2 worker.
Install
pip install django-q-mt
Usage
Add django_q_mt to INSTALLED_APPS.
./manage.py django_q_mt
Supports standard django-q2 configuration like Q_CLUSTER,
workers, timeout.
Limitations
recycle isn't supported at the moment. If memory leaks are a
concern, you can use MemoryMax= in systemd or an equivalent.
Timeouts
Timeout handling is more finicky and unreliable in multi-threaded
setups. django-q-mt forces timeouts in the following stages:
-
A
TimeoutErroris injected withPyThreadState_SetAsyncExc. The thread must run the Python interpreter in order for this to work. -
If the thread is still alive after 30 seconds,
django-q-mtusesptraceto force-stop a blocking syscall, eg. an infinitereadfrom a socket. -
If it fails, after 30 second the entire process with all threads is recycled. It should be a rare case, as at this point the timing out thread is either running a tight C loop or is deadlocked.
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