Bugs item #1277903, was opened at 2005-08-31 23:49
Message generated for change (Comment added) made by alengarbage
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Category: None
Group: Python 2.4
Status: Open
Resolution: None
Priority: 5
Submitted By: Lenny G. Arbage (alengarbage)
Assigned to: Vinay Sajip (vsajip)
Summary: logging module broken for multiple threads?
Initial Comment:
After upgrading from python 2.2, I noticed that the
logging facility doesn't seem to work in my code anymore.
As far as I can tell, after spending a bit of time
isolating the problem, this is an issue with threading.
In the main thread, logging works without a hitch. In
the secondary thread (which is run via
twisted.reactor), any attempt to write to the log
results in:
Traceback (most recent call last):
File "/usr/lib/python2.4/logging/__init__.py", line
712, in emit
self.stream.write(fs % msg)
ValueError: I/O operation on closed file
The code that initializes the logger is as follows:
logger = logging.getLogger('mylogger')
screenhandler = logging.StreamHandler()
screenhandler.setLevel(logging.INFO)
logger.addHandler(self.screenhandler)
logfile = "/tmp/testlog"
if os.path.isfile(logfile):
os.remove(logfile)
handler = logging.FileHandler(logfile)
formatter = logging.Formatter('%(asctime)s
%(levelname)s: %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.INFO)
Alone, this works fine. It is only when a the second
thread does a 'logger = logging.getLogger('mylogger')
and subsequently calls 'logger.log()' that the above
error is produced.
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>Comment By: Lenny G. Arbage (alengarbage)
Date: 2005-09-01 11:04
Message:
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file attached
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Comment By: Lenny G. Arbage (alengarbage)
Date: 2005-09-01 11:04
Message:
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file attached
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Comment By: Alen Peacock (alenlpeacock)
Date: 2005-09-01 11:00
Message:
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I'm attaching a minimal program that demonstrates the
behavior. You'll need twisted installed to run it. I've
tested on python 2.4.1 and 2.4.14, both produce the error.
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Comment By: Raymond Hettinger (rhettinger)
Date: 2005-09-01 07:54
Message:
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It looks to me like you've created a race condition that
became evident only when switching Python versions.
Assigning to Vijay so he can give advice on the best way to
code this (most likely by moving resource competing calls to
the main thread).
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