mirror of https://github.com/django/django.git
Added a clarification to the docs about filtering across nullable intermediate
models with a NULL entry. I'm not brilliantly happy with the description (it's too long for such an edge case, for a start), but it gets the intent across. Refs #8025. git-svn-id: http://code.djangoproject.com/svn/django/trunk@8141 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -1676,6 +1676,28 @@ whose ``headline`` contains ``'Lennon'``::
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Blog.objects.filter(entry__headline__contains='Lennon')
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If you are filtering across multiple relationships and one of the intermediate
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models doesn't have a value that meets the filter condition, Django will treat
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it as if there is an empty (all values are ``NULL``), but valid, object there.
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All this means is that no error will be raised. For example, in this filter::
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Blog.objects.filter(entry__author__name='Lennon')
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(if there was a related ``Author`` model), if there was no ``author``
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associated with an entry, it would be treated as if there was also no ``name``
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attached, rather than raising an error because of the missing ``author``.
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Usually this is exactly what you want to have happen. The only case where it
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might be confusing is if you are using ``isnull``. Thus::
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Blog.objects.filter(entry__author__name__isnull=True)
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will return ``Blog`` objects that have an empty ``name`` on the ``author`` and
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also those which have an empty ``author`` on the ``entry``. If you don't want
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those latter objects, you could write::
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Blog.objetcs.filter(entry__author__isnull=False,
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entry__author__name__isnull=True)
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Spanning multi-valued relationships
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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