The cluster monitor shows information about all the Q clusters connected to your project.
Start the monitor with Django's manage.py command:
$ python manage.py qmonitor
Shows the hostname of the server this cluster is running on.
The cluster Id. Same as the cluster process ID or pid.
Current state of the cluster:
- Starting The cluster is spawning workers and getting ready.
- Idle Everything is ok, but there are no tasks to process.
- Working Processing tasks like a good cluster should.
- Stopping The cluster does not take on any new tasks and is finishing.
- Stopped All tasks have been processed and the cluster is shutting down.
The current number of workers in the cluster pool.
Task Queue counts the number of tasks in the queue
If this keeps rising it means you are taking on more tasks than your cluster can handle. You can limit this by settings the queue_limit in your cluster configuration.
Result Queue shows the number of results in the queue.
Since results are only saved by a single process which has to access the database. It's normal for the result queue to take slightly longer to clear than the task queue.
Reincarnations shows the amount of processes that have been reincarnated after a recycle, sudden death or timeout. If this number is unusually high, you are either suffering from repeated task errors or severe timeouts and you should check your logs for details.
Uptime the amount of time that has passed since the cluster was started.
Press q to quit the monitor and return to your terminal.
You can check the status of your clusters straight from your code with Stat:
from django_q.monitor import Stat
for stat in Stat.get_all():
print(stat.cluster_id, stat.status)
# or if you know the cluster id
cluster_id = 1234
stat = Stat.get(cluster_id)
print(stat.status, stat.workers)