663 lines
20 KiB
Python
663 lines
20 KiB
Python
"""
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Various complex queries that have been problematic in the past.
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"""
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import datetime
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from django.db import models
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from django.db.models.query import Q
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class Tag(models.Model):
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name = models.CharField(max_length=10)
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parent = models.ForeignKey('self', blank=True, null=True)
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def __unicode__(self):
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return self.name
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class Note(models.Model):
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note = models.CharField(max_length=100)
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misc = models.CharField(max_length=10)
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class Meta:
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ordering = ['note']
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def __unicode__(self):
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return self.note
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class ExtraInfo(models.Model):
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info = models.CharField(max_length=100)
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note = models.ForeignKey(Note)
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class Meta:
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ordering = ['info']
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def __unicode__(self):
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return self.info
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class Author(models.Model):
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name = models.CharField(max_length=10)
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num = models.IntegerField(unique=True)
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extra = models.ForeignKey(ExtraInfo)
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def __unicode__(self):
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return self.name
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class Item(models.Model):
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name = models.CharField(max_length=10)
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created = models.DateTimeField()
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tags = models.ManyToManyField(Tag, blank=True, null=True)
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creator = models.ForeignKey(Author)
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note = models.ForeignKey(Note)
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class Meta:
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ordering = ['-note', 'name']
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def __unicode__(self):
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return self.name
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class Report(models.Model):
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name = models.CharField(max_length=10)
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creator = models.ForeignKey(Author, to_field='num')
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def __unicode__(self):
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return self.name
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class Ranking(models.Model):
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rank = models.IntegerField()
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author = models.ForeignKey(Author)
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class Meta:
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# A complex ordering specification. Should stress the system a bit.
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ordering = ('author__extra__note', 'author__name', 'rank')
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def __unicode__(self):
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return '%d: %s' % (self.rank, self.author.name)
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class Cover(models.Model):
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title = models.CharField(max_length=50)
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item = models.ForeignKey(Item)
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class Meta:
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ordering = ['item']
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def __unicode__(self):
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return self.title
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class Number(models.Model):
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num = models.IntegerField()
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def __unicode__(self):
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return unicode(self.num)
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# Some funky cross-linked models for testing a couple of infinite recursion
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# cases.
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class X(models.Model):
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y = models.ForeignKey('Y')
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class Y(models.Model):
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x1 = models.ForeignKey(X, related_name='y1')
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# Some models with a cycle in the default ordering. This would be bad if we
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# didn't catch the infinite loop.
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class LoopX(models.Model):
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y = models.ForeignKey('LoopY')
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class Meta:
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ordering = ['y']
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class LoopY(models.Model):
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x = models.ForeignKey(LoopX)
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class Meta:
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ordering = ['x']
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class LoopZ(models.Model):
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z = models.ForeignKey('self')
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class Meta:
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ordering = ['z']
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__test__ = {'API_TESTS':"""
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>>> t1 = Tag(name='t1')
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>>> t1.save()
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>>> t2 = Tag(name='t2', parent=t1)
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>>> t2.save()
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>>> t3 = Tag(name='t3', parent=t1)
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>>> t3.save()
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>>> t4 = Tag(name='t4', parent=t3)
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>>> t4.save()
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>>> t5 = Tag(name='t5', parent=t3)
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>>> t5.save()
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>>> n1 = Note(note='n1', misc='foo')
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>>> n1.save()
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>>> n2 = Note(note='n2', misc='bar')
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>>> n2.save()
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>>> n3 = Note(note='n3', misc='foo')
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>>> n3.save()
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Create these out of order so that sorting by 'id' will be different to sorting
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by 'info'. Helps detect some problems later.
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>>> e2 = ExtraInfo(info='e2', note=n2)
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>>> e2.save()
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>>> e1 = ExtraInfo(info='e1', note=n1)
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>>> e1.save()
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>>> a1 = Author(name='a1', num=1001, extra=e1)
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>>> a1.save()
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>>> a2 = Author(name='a2', num=2002, extra=e1)
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>>> a2.save()
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>>> a3 = Author(name='a3', num=3003, extra=e2)
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>>> a3.save()
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>>> a4 = Author(name='a4', num=4004, extra=e2)
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>>> a4.save()
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>>> time1 = datetime.datetime(2007, 12, 19, 22, 25, 0)
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>>> time2 = datetime.datetime(2007, 12, 19, 21, 0, 0)
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>>> time3 = datetime.datetime(2007, 12, 20, 22, 25, 0)
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>>> time4 = datetime.datetime(2007, 12, 20, 21, 0, 0)
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>>> i1 = Item(name='one', created=time1, creator=a1, note=n3)
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>>> i1.save()
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>>> i1.tags = [t1, t2]
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>>> i2 = Item(name='two', created=time2, creator=a2, note=n2)
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>>> i2.save()
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>>> i2.tags = [t1, t3]
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>>> i3 = Item(name='three', created=time3, creator=a2, note=n3)
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>>> i3.save()
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>>> i4 = Item(name='four', created=time4, creator=a4, note=n3)
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>>> i4.save()
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>>> i4.tags = [t4]
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>>> r1 = Report(name='r1', creator=a1)
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>>> r1.save()
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>>> r2 = Report(name='r2', creator=a3)
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>>> r2.save()
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Ordering by 'rank' gives us rank2, rank1, rank3. Ordering by the Meta.ordering
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will be rank3, rank2, rank1.
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>>> rank1 = Ranking(rank=2, author=a2)
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>>> rank1.save()
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>>> rank2 = Ranking(rank=1, author=a3)
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>>> rank2.save()
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>>> rank3 = Ranking(rank=3, author=a1)
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>>> rank3.save()
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>>> c1 = Cover(title="first", item=i4)
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>>> c1.save()
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>>> c2 = Cover(title="second", item=i2)
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>>> c2.save()
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>>> n1 = Number(num=4)
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>>> n1.save()
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>>> n2 = Number(num=8)
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>>> n2.save()
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>>> n3 = Number(num=12)
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>>> n3.save()
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Bug #1050
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>>> Item.objects.filter(tags__isnull=True)
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[<Item: three>]
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>>> Item.objects.filter(tags__id__isnull=True)
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[<Item: three>]
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Bug #1801
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>>> Author.objects.filter(item=i2)
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[<Author: a2>]
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>>> Author.objects.filter(item=i3)
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[<Author: a2>]
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>>> Author.objects.filter(item=i2) & Author.objects.filter(item=i3)
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[<Author: a2>]
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Bug #2306
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Checking that no join types are "left outer" joins.
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>>> query = Item.objects.filter(tags=t2).query
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>>> query.LOUTER not in [x[2] for x in query.alias_map.values()]
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True
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>>> Item.objects.filter(Q(tags=t1)).order_by('name')
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[<Item: one>, <Item: two>]
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>>> Item.objects.filter(Q(tags=t1)).filter(Q(tags=t2))
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[<Item: one>]
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>>> Item.objects.filter(Q(tags=t1)).filter(Q(creator__name='fred')|Q(tags=t2))
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[<Item: one>]
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Each filter call is processed "at once" against a single table, so this is
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different from the previous example as it tries to find tags that are two
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things at once (rather than two tags).
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>>> Item.objects.filter(Q(tags=t1) & Q(tags=t2))
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[]
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>>> Item.objects.filter(Q(tags=t1), Q(creator__name='fred')|Q(tags=t2))
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[]
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>>> qs = Author.objects.filter(ranking__rank=2, ranking__id=rank1.id)
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>>> list(qs)
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[<Author: a2>]
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>>> qs.query.count_active_tables()
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2
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>>> qs = Author.objects.filter(ranking__rank=2).filter(ranking__id=rank1.id)
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>>> qs.query.count_active_tables()
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3
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Bug #4464
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>>> Item.objects.filter(tags=t1).filter(tags=t2)
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[<Item: one>]
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>>> Item.objects.filter(tags__in=[t1, t2]).distinct().order_by('name')
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[<Item: one>, <Item: two>]
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>>> Item.objects.filter(tags__in=[t1, t2]).filter(tags=t3)
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[<Item: two>]
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Bug #2080, #3592
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>>> Author.objects.filter(item__name='one') | Author.objects.filter(name='a3')
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[<Author: a1>, <Author: a3>]
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>>> Author.objects.filter(Q(item__name='one') | Q(name='a3'))
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[<Author: a1>, <Author: a3>]
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>>> Author.objects.filter(Q(name='a3') | Q(item__name='one'))
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[<Author: a1>, <Author: a3>]
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>>> Author.objects.filter(Q(item__name='three') | Q(report__name='r3'))
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[<Author: a2>]
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Bug #4289
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A slight variation on the above theme: restricting the choices by the lookup
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constraints.
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>>> Number.objects.filter(num__lt=4)
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[]
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>>> Number.objects.filter(num__gt=8, num__lt=12)
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[]
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>>> Number.objects.filter(num__gt=8, num__lt=13)
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[<Number: 12>]
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>>> Number.objects.filter(Q(num__lt=4) | Q(num__gt=8, num__lt=12))
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[]
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>>> Number.objects.filter(Q(num__gt=8, num__lt=12) | Q(num__lt=4))
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[]
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>>> Number.objects.filter(Q(num__gt=8) & Q(num__lt=12) | Q(num__lt=4))
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[]
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>>> Number.objects.filter(Q(num__gt=7) & Q(num__lt=12) | Q(num__lt=4))
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[<Number: 8>]
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Bug #6074
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Merging two empty result sets shouldn't leave a queryset with no constraints
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(which would match everything).
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>>> Author.objects.filter(Q(id__in=[]))
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[]
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>>> Author.objects.filter(Q(id__in=[])|Q(id__in=[]))
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[]
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Bug #1878, #2939
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>>> Item.objects.values('creator').distinct().count()
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3
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# Create something with a duplicate 'name' so that we can test multi-column
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# cases (which require some tricky SQL transformations under the covers).
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>>> xx = Item(name='four', created=time1, creator=a2, note=n1)
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>>> xx.save()
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>>> Item.objects.exclude(name='two').values('creator', 'name').distinct().count()
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4
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>>> Item.objects.exclude(name='two').extra(select={'foo': '%s'}, select_params=(1,)).values('creator', 'name', 'foo').distinct().count()
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4
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>>> Item.objects.exclude(name='two').extra(select={'foo': '%s'}, select_params=(1,)).values('creator', 'name').distinct().count()
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4
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>>> xx.delete()
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Bug #2253
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>>> q1 = Item.objects.order_by('name')
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>>> q2 = Item.objects.filter(id=i1.id)
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>>> q1
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[<Item: four>, <Item: one>, <Item: three>, <Item: two>]
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>>> q2
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[<Item: one>]
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>>> (q1 | q2).order_by('name')
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[<Item: four>, <Item: one>, <Item: three>, <Item: two>]
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>>> (q1 & q2).order_by('name')
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[<Item: one>]
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# FIXME: This is difficult to fix and very much an edge case, so punt for now.
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# # This is related to the order_by() tests, below, but the old bug exhibited
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# # itself here (q2 was pulling too many tables into the combined query with the
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# # new ordering, but only because we have evaluated q2 already).
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# >>> len((q1 & q2).order_by('name').query.tables)
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# 1
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>>> q1 = Item.objects.filter(tags=t1)
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>>> q2 = Item.objects.filter(note=n3, tags=t2)
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>>> q3 = Item.objects.filter(creator=a4)
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>>> ((q1 & q2) | q3).order_by('name')
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[<Item: four>, <Item: one>]
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Bugs #4088, #4306
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>>> Report.objects.filter(creator=1001)
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[<Report: r1>]
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>>> Report.objects.filter(creator__num=1001)
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[<Report: r1>]
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>>> Report.objects.filter(creator__id=1001)
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[]
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>>> Report.objects.filter(creator__id=a1.id)
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[<Report: r1>]
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>>> Report.objects.filter(creator__name='a1')
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[<Report: r1>]
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Bug #4510
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>>> Author.objects.filter(report__name='r1')
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[<Author: a1>]
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Bug #5324, #6704
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>>> Item.objects.filter(tags__name='t4')
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[<Item: four>]
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>>> Item.objects.exclude(tags__name='t4').order_by('name').distinct()
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[<Item: one>, <Item: three>, <Item: two>]
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>>> Item.objects.exclude(tags__name='t4').order_by('name').distinct().reverse()
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[<Item: two>, <Item: three>, <Item: one>]
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>>> Author.objects.exclude(item__name='one').distinct().order_by('name')
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[<Author: a2>, <Author: a3>, <Author: a4>]
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# Excluding across a m2m relation when there is more than one related object
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# associated was problematic.
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>>> Item.objects.exclude(tags__name='t1').order_by('name')
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[<Item: four>, <Item: three>]
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>>> Item.objects.exclude(tags__name='t1').exclude(tags__name='t4')
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[<Item: three>]
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# Excluding from a relation that cannot be NULL should not use outer joins.
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>>> query = Item.objects.exclude(creator__in=[a1, a2]).query
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>>> query.LOUTER not in [x[2] for x in query.alias_map.values()]
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True
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Similarly, when one of the joins cannot possibly, ever, involve NULL values (Author -> ExtraInfo, in the following), it should never be promoted to a left outer join. So hte following query should only involve one "left outer" join (Author -> Item is 0-to-many).
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>>> qs = Author.objects.filter(id=a1.id).filter(Q(extra__note=n1)|Q(item__note=n3))
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>>> len([x[2] for x in qs.query.alias_map.values() if x[2] == query.LOUTER])
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1
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The previous changes shouldn't affect nullable foreign key joins.
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>>> Tag.objects.filter(parent__isnull=True).order_by('name')
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[<Tag: t1>]
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>>> Tag.objects.exclude(parent__isnull=True).order_by('name')
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[<Tag: t2>, <Tag: t3>, <Tag: t4>, <Tag: t5>]
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>>> Tag.objects.exclude(Q(parent__name='t1') | Q(parent__isnull=True)).order_by('name')
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[<Tag: t4>, <Tag: t5>]
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>>> Tag.objects.exclude(Q(parent__isnull=True) | Q(parent__name='t1')).order_by('name')
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[<Tag: t4>, <Tag: t5>]
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>>> Tag.objects.exclude(Q(parent__parent__isnull=True)).order_by('name')
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[<Tag: t4>, <Tag: t5>]
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>>> Tag.objects.filter(~Q(parent__parent__isnull=True)).order_by('name')
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[<Tag: t4>, <Tag: t5>]
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Bug #2091
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>>> t = Tag.objects.get(name='t4')
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>>> Item.objects.filter(tags__in=[t])
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[<Item: four>]
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Combining querysets built on different models should behave in a well-defined
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fashion. We raise an error.
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>>> Author.objects.all() & Tag.objects.all()
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Traceback (most recent call last):
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...
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AssertionError: Cannot combine queries on two different base models.
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>>> Author.objects.all() | Tag.objects.all()
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Traceback (most recent call last):
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...
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AssertionError: Cannot combine queries on two different base models.
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Bug #3141
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>>> Author.objects.extra(select={'foo': '1'}).count()
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4
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>>> Author.objects.extra(select={'foo': '%s'}, select_params=(1,)).count()
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4
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Bug #2400
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>>> Author.objects.filter(item__isnull=True)
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[<Author: a3>]
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>>> Tag.objects.filter(item__isnull=True)
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[<Tag: t5>]
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Bug #2496
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>>> Item.objects.extra(tables=['queries_author']).select_related().order_by('name')[:1]
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[<Item: four>]
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Bug #2076
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# Ordering on related tables should be possible, even if the table is not
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# otherwise involved.
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>>> Item.objects.order_by('note__note', 'name')
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[<Item: two>, <Item: four>, <Item: one>, <Item: three>]
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# Ordering on a related field should use the remote model's default ordering as
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# a final step.
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>>> Author.objects.order_by('extra', '-name')
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[<Author: a2>, <Author: a1>, <Author: a4>, <Author: a3>]
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# Using remote model default ordering can span multiple models (in this case,
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# Cover is ordered by Item's default, which uses Note's default).
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>>> Cover.objects.all()
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[<Cover: first>, <Cover: second>]
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# If you're not careful, it's possible to introduce infinite loops via default
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# ordering on foreign keys in a cycle. We detect that.
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>>> LoopX.objects.all()
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Traceback (most recent call last):
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...
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FieldError: Infinite loop caused by ordering.
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>>> LoopZ.objects.all()
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Traceback (most recent call last):
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...
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FieldError: Infinite loop caused by ordering.
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# ... but you can still order in a non-recursive fashion amongst linked fields
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# (the previous test failed because the default ordering was recursive).
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>>> LoopX.objects.all().order_by('y__x__y__x__id')
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[]
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# If the remote model does not have a default ordering, we order by its 'id'
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# field.
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>>> Item.objects.order_by('creator', 'name')
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[<Item: one>, <Item: three>, <Item: two>, <Item: four>]
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# Cross model ordering is possible in Meta, too.
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>>> Ranking.objects.all()
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[<Ranking: 3: a1>, <Ranking: 2: a2>, <Ranking: 1: a3>]
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>>> Ranking.objects.all().order_by('rank')
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[<Ranking: 1: a3>, <Ranking: 2: a2>, <Ranking: 3: a1>]
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# Ordering by a many-valued attribute (e.g. a many-to-many or reverse
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# ForeignKey) is legal, but the results might not make sense. That isn't
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# Django's problem. Garbage in, garbage out.
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>>> Item.objects.all().order_by('tags', 'id')
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[<Item: one>, <Item: two>, <Item: one>, <Item: two>, <Item: four>]
|
|
|
|
# If we replace the default ordering, Django adjusts the required tables
|
|
# automatically. Item normally requires a join with Note to do the default
|
|
# ordering, but that isn't needed here.
|
|
>>> qs = Item.objects.order_by('name')
|
|
>>> qs
|
|
[<Item: four>, <Item: one>, <Item: three>, <Item: two>]
|
|
>>> len(qs.query.tables)
|
|
1
|
|
|
|
# Ordering of extra() pieces is possible, too and you can mix extra fields and
|
|
# model fields in the ordering.
|
|
>>> Ranking.objects.extra(tables=['django_site'], order_by=['-django_site.id', 'rank'])
|
|
[<Ranking: 1: a3>, <Ranking: 2: a2>, <Ranking: 3: a1>]
|
|
|
|
>>> qs = Ranking.objects.extra(select={'good': 'case when rank > 2 then 1 else 0 end'})
|
|
>>> [o.good for o in qs.extra(order_by=('-good',))] == [True, False, False]
|
|
True
|
|
>>> qs.extra(order_by=('-good', 'id'))
|
|
[<Ranking: 3: a1>, <Ranking: 2: a2>, <Ranking: 1: a3>]
|
|
|
|
# Despite having some extra aliases in the query, we can still omit them in a
|
|
# values() query.
|
|
>>> qs.values('id', 'rank').order_by('id')
|
|
[{'id': 1, 'rank': 2}, {'id': 2, 'rank': 1}, {'id': 3, 'rank': 3}]
|
|
|
|
Bugs #2874, #3002
|
|
>>> qs = Item.objects.select_related().order_by('note__note', 'name')
|
|
>>> list(qs)
|
|
[<Item: two>, <Item: four>, <Item: one>, <Item: three>]
|
|
|
|
# This is also a good select_related() test because there are multiple Note
|
|
# entries in the SQL. The two Note items should be different.
|
|
>>> qs[0].note, qs[0].creator.extra.note
|
|
(<Note: n2>, <Note: n1>)
|
|
|
|
Bug #3037
|
|
>>> Item.objects.filter(Q(creator__name='a3', name='two')|Q(creator__name='a4', name='four'))
|
|
[<Item: four>]
|
|
|
|
Bug #5321, #7070
|
|
|
|
Ordering columns must be included in the output columns. Note that this means
|
|
results that might otherwise be distinct are not (if there are multiple values
|
|
in the ordering cols), as in this example. This isn't a bug; it's a warning to
|
|
be careful with the selection of ordering columns.
|
|
|
|
>>> Note.objects.values('misc').distinct().order_by('note', '-misc')
|
|
[{'misc': u'foo'}, {'misc': u'bar'}, {'misc': u'foo'}]
|
|
|
|
Bug #4358
|
|
If you don't pass any fields to values(), relation fields are returned as
|
|
"foo_id" keys, not "foo". For consistency, you should be able to pass "foo_id"
|
|
in the fields list and have it work, too. We actually allow both "foo" and
|
|
"foo_id".
|
|
|
|
# The *_id version is returned by default.
|
|
>>> 'note_id' in ExtraInfo.objects.values()[0]
|
|
True
|
|
|
|
# You can also pass it in explicitly.
|
|
>>> ExtraInfo.objects.values('note_id')
|
|
[{'note_id': 1}, {'note_id': 2}]
|
|
|
|
# ...or use the field name.
|
|
>>> ExtraInfo.objects.values('note')
|
|
[{'note': 1}, {'note': 2}]
|
|
|
|
Bug #5261
|
|
>>> Note.objects.exclude(Q())
|
|
[<Note: n1>, <Note: n2>, <Note: n3>]
|
|
|
|
Bug #3045, #3288
|
|
Once upon a time, select_related() with circular relations would loop
|
|
infinitely if you forgot to specify "depth". Now we set an arbitrary default
|
|
upper bound.
|
|
>>> X.objects.all()
|
|
[]
|
|
>>> X.objects.select_related()
|
|
[]
|
|
|
|
Bug #3739
|
|
The all() method on querysets returns a copy of the queryset.
|
|
>>> q1 = Item.objects.order_by('name')
|
|
>>> id(q1) == id(q1.all())
|
|
False
|
|
|
|
Bug #2902
|
|
Parameters can be given to extra_select, *if* you use a SortedDict.
|
|
|
|
(First we need to know which order the keys fall in "naturally" on your system,
|
|
so we can put things in the wrong way around from normal. A normal dict would
|
|
thus fail.)
|
|
>>> from django.utils.datastructures import SortedDict
|
|
>>> s = [('a', '%s'), ('b', '%s')]
|
|
>>> params = ['one', 'two']
|
|
>>> if {'a': 1, 'b': 2}.keys() == ['a', 'b']:
|
|
... s.reverse()
|
|
... params.reverse()
|
|
|
|
# This slightly odd comparison works aorund the fact that PostgreSQL will
|
|
# return 'one' and 'two' as strings, not Unicode objects. It's a side-effect of
|
|
# using constants here and not a real concern.
|
|
>>> d = Item.objects.extra(select=SortedDict(s), select_params=params).values('a', 'b')[0]
|
|
>>> d == {'a': u'one', 'b': u'two'}
|
|
True
|
|
|
|
# Order by the number of tags attached to an item.
|
|
>>> l = Item.objects.extra(select={'count': 'select count(*) from queries_item_tags where queries_item_tags.item_id = queries_item.id'}).order_by('-count')
|
|
>>> [o.count for o in l]
|
|
[2, 2, 1, 0]
|
|
|
|
Bug #6154
|
|
Multiple filter statements are joined using "AND" all the time.
|
|
|
|
>>> Author.objects.filter(id=a1.id).filter(Q(extra__note=n1)|Q(item__note=n3))
|
|
[<Author: a1>]
|
|
>>> Author.objects.filter(Q(extra__note=n1)|Q(item__note=n3)).filter(id=a1.id)
|
|
[<Author: a1>]
|
|
|
|
Bug #6981
|
|
>>> Tag.objects.select_related('parent').order_by('name')
|
|
[<Tag: t1>, <Tag: t2>, <Tag: t3>, <Tag: t4>, <Tag: t5>]
|
|
|
|
Bug #6180, #6203 -- dates with limits and/or counts
|
|
>>> Item.objects.count()
|
|
4
|
|
>>> Item.objects.dates('created', 'month').count()
|
|
1
|
|
>>> Item.objects.dates('created', 'day').count()
|
|
2
|
|
>>> len(Item.objects.dates('created', 'day'))
|
|
2
|
|
>>> Item.objects.dates('created', 'day')[0]
|
|
datetime.datetime(2007, 12, 19, 0, 0)
|
|
|
|
Bug #7087 -- dates with extra select columns
|
|
>>> Item.objects.dates('created', 'day').extra(select={'a': 1})
|
|
[datetime.datetime(2007, 12, 19, 0, 0), datetime.datetime(2007, 12, 20, 0, 0)]
|
|
|
|
Test that parallel iterators work.
|
|
|
|
>>> qs = Tag.objects.all()
|
|
>>> i1, i2 = iter(qs), iter(qs)
|
|
>>> i1.next(), i1.next()
|
|
(<Tag: t1>, <Tag: t2>)
|
|
>>> i2.next(), i2.next(), i2.next()
|
|
(<Tag: t1>, <Tag: t2>, <Tag: t3>)
|
|
>>> i1.next()
|
|
<Tag: t3>
|
|
|
|
>>> qs = X.objects.all()
|
|
>>> bool(qs)
|
|
False
|
|
>>> bool(qs)
|
|
False
|
|
|
|
We can do slicing beyond what is currently in the result cache, too.
|
|
|
|
## FIXME!! This next test causes really weird PostgreSQL behaviour, but it's
|
|
## only apparent much later when the full test suite runs. I don't understand
|
|
## what's going on here yet.
|
|
##
|
|
## # We need to mess with the implemenation internals a bit here to decrease the
|
|
## # cache fill size so that we don't read all the results at once.
|
|
## >>> from django.db.models import query
|
|
## >>> query.ITER_CHUNK_SIZE = 2
|
|
## >>> qs = Tag.objects.all()
|
|
##
|
|
## # Fill the cache with the first chunk.
|
|
## >>> bool(qs)
|
|
## True
|
|
## >>> len(qs._result_cache)
|
|
## 2
|
|
##
|
|
## # Query beyond the end of the cache and check that it is filled out as required.
|
|
## >>> qs[4]
|
|
## <Tag: t5>
|
|
## >>> len(qs._result_cache)
|
|
## 5
|
|
##
|
|
## # But querying beyond the end of the result set will fail.
|
|
## >>> qs[100]
|
|
## Traceback (most recent call last):
|
|
## ...
|
|
## IndexError: ...
|
|
|
|
Bug #7045 -- extra tables used to crash SQL construction on the second use.
|
|
>>> qs = Ranking.objects.extra(tables=['django_site'])
|
|
>>> s = qs.query.as_sql()
|
|
>>> s = qs.query.as_sql() # test passes if this doesn't raise an exception.
|
|
|
|
Bug #7098 -- Make sure semi-deprecated ordering by related models syntax still
|
|
works.
|
|
>>> Item.objects.values('note__note').order_by('queries_note.note', 'id')
|
|
[{'note__note': u'n2'}, {'note__note': u'n3'}, {'note__note': u'n3'}, {'note__note': u'n3'}]
|
|
"""}
|
|
|