python-logging | 易学教程

Is there any way to configure buffer for logging module in Python

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问题 I have verbose logging and it looks like it is significantly impacting the performance of my Python program. From what I've understood, it seems that by default, the Python logging module will buffer until one log message. Is it possible to configure this buffer for several log messages? For example, can I make the Python logging module buffer up to 10 messages? I have gone through the Python documentation and also stack overflow questions like this, this and this but there is no clear answer

Is there any way to configure buffer for logging module in Python

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Python File logger also logging to stdout

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来源： https://stackoverflow.com/questions/64643466/python-file-logger-also-logging-to-stdout

python logging - With JSON logs can I add an “extra” value to every single log?

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来源： https://stackoverflow.com/questions/54471689/python-logging-with-json-logs-can-i-add-an-extra-value-to-every-single-log

python: How to start and stop a logger whenever i want

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问题 I am trying to log sql statements in a code in my Django Application Currently i am using the following logger config in my settings.py LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'formatters': { 'sql': { '()': SQLFormatter, 'format': '[%(duration).3f] %(statement)s', }, 'verbose': { 'format': '%(levelname)s %(funcName)s() %(pathname)s[:%(lineno)s] %(name)s \n%(message)s' } }, 'handlers': { 'console': { 'level': 'DEBUG', 'formatter': 'verbose', 'class': 'logging.StreamHandler

python: How to start and stop a logger whenever i want

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Python logging: disable stack trace

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问题 Is there a simple way to disable the logging of an exception stack trace in Python 3, either in a Handler or Formatter ? I need the stack trace in another Handler , so setting exc_info=False , in the call to the Logger is not an option. Is there a simpler way than just defining my own Formatter ? 回答1: The easiest option to disable per handler traceback output is to add a custom logging.Filter subclass that alters the record object (rather than filter out records). The filter simply has to set

Python logging: disable stack trace

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Is there a simple way to disable the logging of an exception stack trace in Python 3, either in a Handler or Formatter ? I need the stack trace in another Handler , so setting exc_info=False , in the call to the Logger is not an option. Is there a simpler way than just defining my own Formatter ? The easiest option to disable per handler traceback output is to add a custom logging.Filter subclass that alters the record object (rather than filter out records). The filter simply has to set exc_info on records to None : class TracebackInfoFilter(logging.Filter): """Clear or restore the exception

Can basicConfig only be used on root logger and handlers/formatter only be used on namedloggers?

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I am working with logging and have a question. I know there are simple and advanced logging concepts. In simple logging, we have the logging.info() , etc whereas in advanced logging we have logging.getlogger(some_name) . In simple logging, we can configure the log path and msg format using logging. basicConfig whereas in case of advanced logging we have the concept of a formatter, handler which is assigned to the logger obtained by using logging.getlogger(some_name).addhandlers.. We could even add multiple handlers to the root logger using logging.getlogger().addhandlers.... So the only

How to add a custom loglevel to Python's logging facility

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I'd like to have loglevel TRACE (5) for my application, as I don't think that debug() is sufficient. Additionally log(5, msg) isn't what I want. How can I add a custom loglevel to a Python logger? I've a mylogger.py with the following content: import logging @property def log(obj): myLogger = logging.getLogger(obj.__class__.__name__) return myLogger In my code I use it in the following way: class ExampleClass(object): from mylogger import log def __init__(self): '''The constructor with the logger''' self.log.debug("Init runs") Now I'd like to call self.log.trace("foo bar") Thanks in advance