Updated logging HOWTO section on optimization.
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@ -1027,6 +1027,15 @@ You can write code like this::
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so that if the logger's threshold is set above ``DEBUG``, the calls to
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:func:`expensive_func1` and :func:`expensive_func2` are never made.
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.. note:: In some cases, :meth:`~Logger.isEnabledFor` can iself be more
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expensive than you'd like (e.g. for deeply nested loggers where an explicit
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level is only set high up in the logger hierarchy). In such cases (or if you
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want to avoid calling a method in tight loops), you can cache the result of a
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call to :meth:`~Logger.isEnabledFor` in a local or instance variable, and use
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that instead of calling the method each time. Such a cached value would only
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need to be recomputed when the logging configuration changes dynamically
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while the application is running (which is not all that common).
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There are other optimizations which can be made for specific applications which
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need more precise control over what logging information is collected. Here's a
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list of things you can do to avoid processing during logging which you don't
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@ -1036,6 +1045,12 @@ need:
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| What you don't want to collect | How to avoid collecting it |
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+===============================================+========================================+
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| Information about where calls were made from. | Set ``logging._srcfile`` to ``None``. |
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| | This avoids calling |
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| | :func:`sys._getframe`, which may help |
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| | to speed up your code in environments |
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| | like PyPy (which can't speed up code |
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| | that uses :func:`sys._getframe`), if |
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| | and when PyPy supports Python 3.x. |
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+-----------------------------------------------+----------------------------------------+
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| Threading information. | Set ``logging.logThreads`` to ``0``. |
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+-----------------------------------------------+----------------------------------------+
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