I have been told that logging can not be used in Multiprocessing. You have to do the concurrency control in case multiprocessing messes the log.

But I did some test, it seems like there is no problem using logging in multiprocessing

```
import time
import logging
from multiprocessing import Process, current_process, pool

# setup log
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG,
                    format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
                    datefmt='%a, %d %b %Y %H:%M:%S',
                    filename='/tmp/test.log',
                    filemode='w')

def func(the_time, logger):
    proc = current_process()
    while True:
        if time.time() >= the_time:
            logger.info('proc name %s id %s' % (proc.name, proc.pid))
            return

if __name__ == '__main__':

    the_time = time.time() + 5

    for x in xrange(1, 10):
        proc = Process(target=func, name=x, args=(the_time, logger))
        proc.start()

```

As you can see from the code.

I deliberately let the subprocess write log at the same moment( 5s after start) to increase the chance of conflict. But there are no conflict at all.

So my question is can we use logging in multiprocessing?
Why so many posts say we can not ?