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If you call the same logging handler from two different python threads, is there a need for locking?
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The inbuilt logging module in python requires some handful of lines of code to configure log4j-like features viz - file appender, file rotation based on both time & size. For one-liner implementation of the features in your code, you can use the package autopylogger .
The built-in python logger is I/O blocking. This means that using the built-in logging module will interfere with your asynchronous application performance. aiologger aims to be the standard Asynchronous non-blocking logging for python and asyncio.
Python comes with a logging module in the standard library that provides a flexible framework for emitting log messages from Python programs. This module is widely used by libraries and is the first go-to point for most developers when it comes to logging.
The getLogger() function accepts a single argument - the logger's name. It returns a reference to a logger instance with the specified name if provided, or root if not. Multiple calls to getLogger() with the same name will return a reference to the same logger object.
The logging module is thread-safe; it handles the locking for you. See the docs.
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