Monitoring Python Processes
Its often common to see some python process like a webserver process or a python script running for a long time and you have no idea what its doing currently. Although you have logging and print statements it does not help much to get a sense of what the latency is all about. I personally encounter this everyday. You brought in a new database or algorithm which worked well in you local / dev / staging environment, but as soon as you push to production, DANG… stuck.. You try a number of ways in shell etc and take a guess of what might be wrong but you cant for sure find where exactly its getting stuck.
For these situations we came up with a couple of ways to know whats happening in productions.
Setproctitle is a python library which allows you to change the name of the process which running. Projects like postgres, celery, gunicorn use this to show which process is master and which of them are workers. But we used this to a new level to know which worker is serving what request and whats the latency in a each request.
In your WSGI middleware set a timer on your request object and change the process title to the request.path and in the process_response set the request’s title to idle and add the time spent in the request.
# some custom middleware def process_request(self, request): ... request.start_time = time.time() setproctitle.setproctitle("gunicorn -> "+request.path) ... def process_response(self, request, response): ... setproctitle.setproctitle("gunicorn -> [idle] [%0.3fs]" \ %(time.time()-request.start))
Now ps -aux | grep gunicorn will show you the current request being handled and the time taken by a worker to process the last request. With this you can know which workers are like stuck. The next method will tell you where there are stuck.
Register SIGUSR1 signal
Another way to get a traceback of the python process is to register a SIGUSR1 signal to dump a traceback of the current execution in a file. All you need to do is to call register_signals in any python script.
import os, signal, sys, traceback def sigusr1_handler(signum, frame): print "Received SIGUSR1 -- Printing stack trace..." f = open('/tmp/current.traceback.txt', 'a') traceback.print_stack(file=f) f.close() def register_signals(): signal.signal(signal.SIGUSR1, sigusr1_handler)
Now call register_signals in settings.py or views.py or any python script. Now do a ps -aux and get the pid of the process you want to know about and send a SIGUSR1 signal to it.
ps -aux kill -SIGUSR1 8932 cat /tmp/current.traceback.txt
This will give you a full traceback of where the process is stuck there by giving you a clean idea of why its stuck. Kudos to marty@pinterest for sharing this technique.