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.. _django:
=========================
Tracking memory in Django
=========================
Introduction
------------
Pympler includes a memory profile panel for Django that integrates with the
`Django Debug Toolbar <https://github.com/jazzband/django-debug-toolbar>`_. It
shows process memory information and model instances for the current request.
Usage
-----
Pympler adds a memory panel as a third party addon -- it's not included in the
Django Debug Toolbar. It can be added by overriding the `DEBUG_TOOLBAR_PANELS`
setting in the Django project settings::
DEBUG_TOOLBAR_PANELS = (
'debug_toolbar.panels.timer.TimerDebugPanel',
'pympler.panels.MemoryPanel',
)
Pympler also needs to be added to the `INSTALLED_APPS` in the Django settings::
INSTALLED_APPS = INSTALLED_APPS + ('debug_toolbar', 'pympler')
Known issues
------------
Pympler doesn't correctly handle tracking calls from concurrent threads. In
order to get accurate instance counts and sizes, it's recommended to only use
single-threaded web servers for memory profiling, e.g.::
django-admin runserver --nothreading
.. automodule:: pympler.panels
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