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Fixed #10127 -- Corrected (no, really, this time!) the way the select_related() cache is populated when annotations are also contained in the query. Thanks to Sylvain Pasche <sylvain.pasche@gmail.com> for the report and test case. 

git-svn-id: http://code.djangoproject.com/svn/django/trunk@9808 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Russell Keith-Magee 2009-02-03 11:07:21 +00:00
parent a008b5c9ab
commit ecadf67569
5 changed files with 37 additions and 21 deletions
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6
django/db/models/query.py
View File

@ -281,7 +281,8 @@ class QuerySet(object):
for row in self.query.results_iter():
if fill_cache:
obj, _ = get_cached_row(self.model, row,
index_start, max_depth, requested=requested)
index_start, max_depth,
requested=requested, offset=len(aggregate_select))
else:
# omit aggregates in object creation
obj = self.model(*row[index_start:aggregate_start])
@ -898,7 +899,7 @@ class EmptyQuerySet(QuerySet):
def get_cached_row(klass, row, index_start, max_depth=0, cur_depth=0,
requested=None):
requested=None, offset=0):
"""
Helper function that recursively returns an object with the specified
related attributes already populated.
@ -915,6 +916,7 @@ def get_cached_row(klass, row, index_start, max_depth=0, cur_depth=0,
obj = None
else:
obj = klass(*fields)
index_end += offset
for f in klass._meta.fields:
if not select_related_descend(f, restricted, requested):
continue

6
tests/modeltests/aggregation/fixtures/initial_data.json
View File

@ -49,6 +49,7 @@
"price": "30.00",
"rating": 4.5,
"authors": [1, 2],
"contact": 1,
"pages": 447,
"pubdate": "2007-12-6"
}
@ -63,6 +64,7 @@
"price": "23.09",
"rating": 3.0,
"authors": [3],
"contact": 3,
"pages": 528,
"pubdate": "2008-3-3"
}
@ -77,6 +79,7 @@
"price": "29.69",
"rating": 4.0,
"authors": [4],
"contact": 4,
"pages": 300,
"pubdate": "2008-6-23"
}
@ -91,6 +94,7 @@
"price": "29.69",
"rating": 4.0,
"authors": [5, 6, 7],
"contact": 5,
"pages": 350,
"pubdate": "2008-11-3"
}
@ -105,6 +109,7 @@
"price": "82.80",
"rating": 4.0,
"authors": [8, 9],
"contact": 8,
"pages": 1132,
"pubdate": "1995-1-15"
}
@ -119,6 +124,7 @@
"price": "75.00",
"rating": 5.0,
"authors": [8],
"contact": 8,
"pages": 946,
"pubdate": "1991-10-15"
}

11
tests/modeltests/aggregation/models.py
View File

@ -28,6 +28,7 @@ class Book(models.Model):
rating = models.FloatField()
price = models.DecimalField(decimal_places=2, max_digits=6)
authors = models.ManyToManyField(Author)
contact = models.ForeignKey(Author, related_name='book_contact_set')
publisher = models.ForeignKey(Publisher)
pubdate = models.DateField()
@ -201,7 +202,7 @@ u'The Definitive Guide to Django: Web Development Done Right'
# Calling values on a queryset that has annotations returns the output
# as a dictionary
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values()
[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'contact_id': 1, 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
[{'pk': 1, 'isbn': u'159059725', 'mean_age': 34.5}]
@ -214,7 +215,7 @@ u'The Definitive Guide to Django: Web Development Done Right'
# An empty values() call before annotating has the same effect as an
# empty values() call after annotating
>>> Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))
[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
[{'rating': 4.5, 'isbn': u'159059725', 'name': u'The Definitive Guide to Django: Web Development Done Right', 'pubdate': datetime.date(2007, 12, 6), 'price': Decimal("30..."), 'contact_id': 1, 'id': 1, 'publisher_id': 1, 'pages': 447, 'mean_age': 34.5}]
# Calling annotate() on a ValuesQuerySet annotates over the groups of
# fields to be selected by the ValuesQuerySet.
@ -268,9 +269,9 @@ True
# Lets add a publisher to test the different possibilities for filtering
>>> p = Publisher(name='Expensive Publisher', num_awards=0)
>>> p.save()
>>> Book(name='ExpensiveBook1', pages=1, isbn='111', rating=3.5, price=Decimal("1000"), publisher=p, pubdate=date(2008,12,1)).save()
>>> Book(name='ExpensiveBook2', pages=1, isbn='222', rating=4.0, price=Decimal("1000"), publisher=p, pubdate=date(2008,12,2)).save()
>>> Book(name='ExpensiveBook3', pages=1, isbn='333', rating=4.5, price=Decimal("35"), publisher=p, pubdate=date(2008,12,3)).save()
>>> Book(name='ExpensiveBook1', pages=1, isbn='111', rating=3.5, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=date(2008,12,1)).save()
>>> Book(name='ExpensiveBook2', pages=1, isbn='222', rating=4.0, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=date(2008,12,2)).save()
>>> Book(name='ExpensiveBook3', pages=1, isbn='333', rating=4.5, price=Decimal("35"), publisher=p, contact_id=1, pubdate=date(2008,12,3)).save()
# Publishers that have:

6
tests/regressiontests/aggregation_regress/fixtures/initial_data.json
View File

@ -49,6 +49,7 @@
"price": "30.00",
"rating": 4.5,
"authors": [1, 2],
"contact": 1,
"pages": 447,
"pubdate": "2007-12-6"
}
@ -63,6 +64,7 @@
"price": "23.09",
"rating": 3.0,
"authors": [3],
"contact": 3,
"pages": 528,
"pubdate": "2008-3-3"
}
@ -77,6 +79,7 @@
"price": "29.69",
"rating": 4.0,
"authors": [4],
"contact": 4,
"pages": 300,
"pubdate": "2008-6-23"
}
@ -91,6 +94,7 @@
"price": "29.69",
"rating": 4.0,
"authors": [5, 6, 7],
"contact": 5,
"pages": 350,
"pubdate": "2008-11-3"
}
@ -105,6 +109,7 @@
"price": "82.80",
"rating": 4.0,
"authors": [8, 9],
"contact": 8,
"pages": 1132,
"pubdate": "1995-1-15"
}
@ -119,6 +124,7 @@
"price": "75.00",
"rating": 5.0,
"authors": [8],
"contact": 8,
"pages": 946,
"pubdate": "1991-10-15"
}

21
tests/regressiontests/aggregation_regress/models.py
View File

@ -29,6 +29,7 @@ class Book(models.Model):
rating = models.FloatField()
price = models.DecimalField(decimal_places=2, max_digits=6)
authors = models.ManyToManyField(Author)
contact = models.ForeignKey(Author, related_name='book_contact_set')
publisher = models.ForeignKey(Publisher)
pubdate = models.DateField()
@ -80,19 +81,19 @@ __test__ = {'API_TESTS': """
# Annotations get combined with extra select clauses
>>> sorted(Book.objects.all().annotate(mean_auth_age=Avg('authors__age')).extra(select={'manufacture_cost' : 'price * .5'}).get(pk=2).__dict__.items())
[('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
[('contact_id', 3), ('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
# Order of the annotate/extra in the query doesn't matter
>>> sorted(Book.objects.all().extra(select={'manufacture_cost' : 'price * .5'}).annotate(mean_auth_age=Avg('authors__age')).get(pk=2).__dict__.items())
[('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
[('contact_id', 3), ('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
# Values queries can be combined with annotate and extra
>>> sorted(Book.objects.all().annotate(mean_auth_age=Avg('authors__age')).extra(select={'manufacture_cost' : 'price * .5'}).values().get(pk=2).items())
[('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
[('contact_id', 3), ('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
# The order of the values, annotate and extra clauses doesn't matter
>>> sorted(Book.objects.all().values().annotate(mean_auth_age=Avg('authors__age')).extra(select={'manufacture_cost' : 'price * .5'}).get(pk=2).items())
[('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
[('contact_id', 3), ('id', 2), ('isbn', u'067232959'), ('manufacture_cost', ...11.545...), ('mean_auth_age', 45.0), ('name', u'Sams Teach Yourself Django in 24 Hours'), ('pages', 528), ('price', Decimal("23.09")), ('pubdate', datetime.date(2008, 3, 3)), ('publisher_id', 2), ('rating', 3.0)]
# A values query that selects specific columns reduces the output
>>> sorted(Book.objects.all().annotate(mean_auth_age=Avg('authors__age')).extra(select={'price_per_page' : 'price / pages'}).values('name').get(pk=1).items())
@ -119,17 +120,17 @@ __test__ = {'API_TESTS': """
>>> Book.objects.all().aggregate(num_authors=Count('foo'))
Traceback (most recent call last):
...
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, isbn, name, pages, price, pubdate, publisher, rating, store
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, contact, id, isbn, name, pages, price, pubdate, publisher, rating, store
>>> Book.objects.all().annotate(num_authors=Count('foo'))
Traceback (most recent call last):
...
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, isbn, name, pages, price, pubdate, publisher, rating, store
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, contact, id, isbn, name, pages, price, pubdate, publisher, rating, store
>>> Book.objects.all().annotate(num_authors=Count('authors__id')).aggregate(Max('foo'))
Traceback (most recent call last):
...
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, isbn, name, pages, price, pubdate, publisher, rating, store, num_authors
FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, contact, id, isbn, name, pages, price, pubdate, publisher, rating, store, num_authors
# Old-style count aggregations can be mixed with new-style
>>> Book.objects.annotate(num_authors=Count('authors')).count()
@ -149,7 +150,7 @@ FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, i
# Regression for #10064: select_related() plays nice with aggregates
>>> Book.objects.select_related('publisher').annotate(num_authors=Count('authors')).values()[0]
{'rating': 4.0, 'isbn': u'013790395', 'name': u'Artificial Intelligence: A Modern Approach', 'pubdate': datetime.date(1995, 1, 15), 'price': Decimal("82.8..."), 'id': 5, 'num_authors': 2, 'publisher_id': 3, 'pages': 1132}
{'rating': 4.0, 'isbn': u'013790395', 'name': u'Artificial Intelligence: A Modern Approach', 'pubdate': datetime.date(1995, 1, 15), 'price': Decimal("82.8..."), 'contact_id': 8, 'id': 5, 'num_authors': 2, 'publisher_id': 3, 'pages': 1132}
# Regression for #10010: exclude on an aggregate field is correctly negated
>>> len(Book.objects.annotate(num_authors=Count('authors')))
@ -196,8 +197,8 @@ FieldError: Cannot resolve keyword 'foo' into field. Choices are: authors, id, i
# Regression for #10127 - Empty select_related() works with annotate
>>> books = Book.objects.all().filter(rating__lt=4.5).select_related().annotate(Avg('authors__age'))
>>> sorted([(b.name, b.authors__age__avg) for b in books])
[(u'Artificial Intelligence: A Modern Approach', 51.5), (u'Practical Django Projects', 29.0), (u'Python Web Development with Django', 30.3...), (u'Sams Teach Yourself Django in 24 Hours', 45.0)]
>>> sorted([(b.name, b.authors__age__avg, b.publisher.name, b.contact.name) for b in books])
[(u'Artificial Intelligence: A Modern Approach', 51.5, u'Prentice Hall', u'Peter Norvig'), (u'Practical Django Projects', 29.0, u'Apress', u'James Bennett'), (u'Python Web Development with Django', 30.3..., u'Prentice Hall', u'Jeffrey Forcier'), (u'Sams Teach Yourself Django in 24 Hours', 45.0, u'Sams', u'Brad Dayley')]
"""
}