Nested query support.
This extends previous functionality that allowed passing Query objects as the rvals to filters. You can now pass QuerySets, which requires less poking at opaque attributes. See the documentation of the "__in" lookup type for the details. git-svn-id: http://code.djangoproject.com/svn/django/trunk@9701 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -641,6 +641,15 @@ class QuerySet(object):
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"""
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pass
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def as_sql(self):
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"""
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Returns the internal query's SQL and parameters (as a tuple).
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This is a private (internal) method. The name is chosen to provide
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uniformity with other interfaces (in particular, the Query class).
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"""
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obj = self.values("pk")
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return obj.query.as_nested_sql()
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class ValuesQuerySet(QuerySet):
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def __init__(self, *args, **kwargs):
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@ -313,6 +313,18 @@ class BaseQuery(object):
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params.extend(self.extra_params)
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return ' '.join(result), tuple(params)
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def as_nested_sql(self):
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"""
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Perform the same functionality as the as_sql() method, returning an
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SQL string and parameters. However, the alias prefixes are bumped
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beforehand (in a copy -- the current query isn't changed).
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Used when nesting this query inside another.
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"""
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obj = self.clone()
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obj.bump_prefix()
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return obj.as_sql()
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def combine(self, rhs, connector):
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"""
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Merge the 'rhs' query into the current one (with any 'rhs' effects
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@ -1035,12 +1035,27 @@ SQL equivalent::
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SELECT ... WHERE id IN (1, 3, 4);
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You can also use a queryset to dynamically evaluate the list of values
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instead of providing a list of literal values. The queryset must be
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reduced to a list of individual values using the ``values()`` method,
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and then converted into a query using the ``query`` attribute::
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instead of providing a list of literal values::
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q = Blog.objects.filter(name__contains='Cheddar').values('pk').query
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e = Entry.objects.filter(blog__in=q)
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inner_qs = Blog.objects.filter(name__contains='Cheddar')
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entries = Entry.objects.filter(blog__in=inner_qs)
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This queryset will be evaluated as subselect statement::
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SELECT ... WHERE blog.id IN (SELECT id FROM ... WHERE NAME LIKE '%Cheddar%')
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The above code fragment could also be written as follows::
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inner_q = Blog.objects.filter(name__contains='Cheddar').values('pk').query
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entries = Entry.objects.filter(blog__in=inner_q)
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.. versionchanged:: 1.1
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In Django 1.0, only the latter piece of code is valid.
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This second form is a bit less readable and unnatural to write, since it
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accesses the internal ``query`` attribute and requires a ``ValuesQuerySet``.
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If your code doesn't require compatibility with Django 1.0, use the first
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form, passing in a queryset directly.
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.. warning::
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@ -1048,9 +1063,18 @@ and then converted into a query using the ``query`` attribute::
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It's fine to use it like above, but its API may change between Django
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versions.
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This queryset will be evaluated as subselect statement::
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.. admonition:: Performance considerations
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SELECT ... WHERE blog.id IN (SELECT id FROM ... WHERE NAME LIKE '%Cheddar%')
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Be cautious about using nested queries and understand your database
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server's performance characteristics (if in doubt, benchmark!). Some
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database backends, most notably MySQL, don't optimize nested queries very
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well. It is more efficient, in those cases, to extract a list of values
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and then pass that into the second query. That is, execute two queries
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instead of one::
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values = Blog.objects.filter(
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name__contains='Cheddar').values_list('pk', flat=True)
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entries = Entry.objects.filter(blog__in=values)
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gt
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~~
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@ -1008,6 +1008,13 @@ cases).
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# optimise the inner query without losing results.
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>>> Annotation.objects.exclude(tag__children__name="t2")
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[<Annotation: a2>]
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Nested queries are possible (although should be used with care, since they have
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performance problems on backends like MySQL.
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>>> Annotation.objects.filter(notes__in=Note.objects.filter(note="n1"))
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[<Annotation: a1>]
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"""}
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# In Python 2.3 and the Python 2.6 beta releases, exceptions raised in __len__
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