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Use the new twisted logging framework.

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Hopefully adding an observer to the new framework will avoid a memory
leak https://twistedmatrix.com/trac/ticket/8164
This commit is contained in:
Mark Haines 2016-12-30 11:05:37 +00:00
parent f023be9293
commit 822cb39dfa
1 changed files with 13 additions and 3 deletions
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16
synapse/config/logger.py
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@ -15,7 +15,7 @@
from ._base import Config from ._base import Config
from synapse.util.logcontext import LoggingContextFilter from synapse.util.logcontext import LoggingContextFilter
from twisted.python.log import PythonLoggingObserver from twisted.logger import globalLogBeginner, STDLibLogObserver
import logging import logging
import logging.config import logging.config
import yaml import yaml
@ -180,5 +180,15 @@ def setup_logging(log_config=None, log_file=None, verbosity=None):
with open(log_config, 'r') as f: with open(log_config, 'r') as f:
logging.config.dictConfig(yaml.load(f)) logging.config.dictConfig(yaml.load(f))
observer = PythonLoggingObserver() # It's critical to point twisted's internal logging somewhere, otherwise it
observer.start() # stacks up and leaks kup to 64K object;
# see: https://twistedmatrix.com/trac/ticket/8164
#
# Routing to the python logging framework could be a performance problem if
# the handlers blocked for a long time as python.logging is a blocking API
# see https://twistedmatrix.com/documents/current/core/howto/logger.html
# filed as https://github.com/matrix-org/synapse/issues/1727
#
# However this may not be too much of a problem if we are just writing to a file.
observer = STDLibLogObserver()
globalLogBeginner.beginLoggingTo([observer])