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Fixed #17003 - prefetch_related should support foreign keys/one-to-one 

Support for `GenericForeignKey` is also included.

git-svn-id: http://code.djangoproject.com/svn/django/trunk@16939 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Luke Plant 2011-10-07 16:05:53 +00:00
parent 672f2db24a
commit 052a011ee6
8 changed files with 366 additions and 119 deletions
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52
django/contrib/contenttypes/generic.py
View File

@ -2,7 +2,10 @@
Classes allowing "generic" relations through ContentType and object-id fields.
"""
from collections import defaultdict
from functools import partial
from operator import attrgetter
from django.core.exceptions import ObjectDoesNotExist
from django.db import connection
from django.db.models import signals
@ -59,6 +62,49 @@ class GenericForeignKey(object):
# This should never happen. I love comments like this, don't you?
raise Exception("Impossible arguments to GFK.get_content_type!")
def get_prefetch_query_set(self, instances):
# For efficiency, group the instances by content type and then do one
# query per model
fk_dict = defaultdict(list)
# We need one instance for each group in order to get the right db:
instance_dict = {}
ct_attname = self.model._meta.get_field(self.ct_field).get_attname()
for instance in instances:
# We avoid looking for values if either ct_id or fkey value is None
ct_id = getattr(instance, ct_attname)
if ct_id is not None:
fk_val = getattr(instance, self.fk_field)
if fk_val is not None:
fk_dict[ct_id].append(fk_val)
instance_dict[ct_id] = instance
ret_val = []
for ct_id, fkeys in fk_dict.items():
instance = instance_dict[ct_id]
ct = self.get_content_type(id=ct_id, using=instance._state.db)
ret_val.extend(ct.get_all_objects_for_this_type(pk__in=fkeys))
# For doing the join in Python, we have to match both the FK val and the
# content type, so the 'attr' vals we return need to be callables that
# will return a (fk, class) pair.
def gfk_key(obj):
ct_id = getattr(obj, ct_attname)
if ct_id is None:
return None
else:
return (getattr(obj, self.fk_field),
self.get_content_type(id=ct_id,
using=obj._state.db).model_class())
return (ret_val,
lambda obj: (obj._get_pk_val(), obj.__class__),
gfk_key,
True,
self.cache_attr)
def is_cached(self, instance):
return hasattr(instance, self.cache_attr)
def __get__(self, instance, instance_type=None):
if instance is None:
return self
@ -282,7 +328,11 @@ def create_generic_related_manager(superclass):
[obj._get_pk_val() for obj in instances]
}
qs = super(GenericRelatedObjectManager, self).get_query_set().using(db).filter(**query)
return (qs, self.object_id_field_name, 'pk')
return (qs,
attrgetter(self.object_id_field_name),
lambda obj: obj._get_pk_val(),
False,
self.prefetch_cache_name)
def add(self, *objs):
for obj in objs:

6
django/contrib/contenttypes/models.py
View File

@ -113,5 +113,11 @@ class ContentType(models.Model):
"""
return self.model_class()._base_manager.using(self._state.db).get(**kwargs)
def get_all_objects_for_this_type(self, **kwargs):
"""
Returns all objects of this type for the keyword arguments given.
"""
return self.model_class()._base_manager.using(self._state.db).filter(**kwargs)
def natural_key(self):
return (self.app_label, self.model)

86
django/db/models/fields/related.py
View File

@ -1,3 +1,5 @@
from operator import attrgetter
from django.db import connection, router
from django.db.backends import util
from django.db.models import signals, get_model
@ -227,6 +229,22 @@ class SingleRelatedObjectDescriptor(object):
self.related = related
self.cache_name = related.get_cache_name()
def is_cached(self, instance):
return hasattr(instance, self.cache_name)
def get_query_set(self, **db_hints):
db = router.db_for_read(self.related.model, **db_hints)
return self.related.model._base_manager.using(db)
def get_prefetch_query_set(self, instances):
vals = [instance._get_pk_val() for instance in instances]
params = {'%s__pk__in' % self.related.field.name: vals}
return (self.get_query_set(),
attrgetter(self.related.field.attname),
lambda obj: obj._get_pk_val(),
True,
self.cache_name)
def __get__(self, instance, instance_type=None):
if instance is None:
return self
@ -234,8 +252,7 @@ class SingleRelatedObjectDescriptor(object):
return getattr(instance, self.cache_name)
except AttributeError:
params = {'%s__pk' % self.related.field.name: instance._get_pk_val()}
db = router.db_for_read(self.related.model, instance=instance)
rel_obj = self.related.model._base_manager.using(db).get(**params)
rel_obj = self.get_query_set(instance=instance).get(**params)
setattr(instance, self.cache_name, rel_obj)
return rel_obj
@ -283,14 +300,40 @@ class ReverseSingleRelatedObjectDescriptor(object):
# ReverseSingleRelatedObjectDescriptor instance.
def __init__(self, field_with_rel):
self.field = field_with_rel
self.cache_name = self.field.get_cache_name()
def is_cached(self, instance):
return hasattr(instance, self.cache_name)
def get_query_set(self, **db_hints):
db = router.db_for_read(self.field.rel.to, **db_hints)
rel_mgr = self.field.rel.to._default_manager
# If the related manager indicates that it should be used for
# related fields, respect that.
if getattr(rel_mgr, 'use_for_related_fields', False):
return rel_mgr.using(db)
else:
return QuerySet(self.field.rel.to).using(db)
def get_prefetch_query_set(self, instances):
vals = [getattr(instance, self.field.attname) for instance in instances]
other_field = self.field.rel.get_related_field()
if other_field.rel:
params = {'%s__pk__in' % self.field.rel.field_name: vals}
else:
params = {'%s__in' % self.field.rel.field_name: vals}
return (self.get_query_set().filter(**params),
attrgetter(self.field.rel.field_name),
attrgetter(self.field.attname),
True,
self.cache_name)
def __get__(self, instance, instance_type=None):
if instance is None:
return self
cache_name = self.field.get_cache_name()
try:
return getattr(instance, cache_name)
return getattr(instance, self.cache_name)
except AttributeError:
val = getattr(instance, self.field.attname)
if val is None:
@ -303,16 +346,9 @@ class ReverseSingleRelatedObjectDescriptor(object):
params = {'%s__pk' % self.field.rel.field_name: val}
else:
params = {'%s__exact' % self.field.rel.field_name: val}
# If the related manager indicates that it should be used for
# related fields, respect that.
rel_mgr = self.field.rel.to._default_manager
db = router.db_for_read(self.field.rel.to, instance=instance)
if getattr(rel_mgr, 'use_for_related_fields', False):
rel_obj = rel_mgr.using(db).get(**params)
else:
rel_obj = QuerySet(self.field.rel.to).using(db).get(**params)
setattr(instance, cache_name, rel_obj)
qs = self.get_query_set(instance=instance)
rel_obj = qs.get(**params)
setattr(instance, self.cache_name, rel_obj)
return rel_obj
def __set__(self, instance, value):
@ -425,15 +461,15 @@ class ForeignRelatedObjectsDescriptor(object):
return super(RelatedManager, self).get_query_set().using(db).filter(**self.core_filters)
def get_prefetch_query_set(self, instances):
"""
Return a queryset that does the bulk lookup needed
by prefetch_related functionality.
"""
db = self._db or router.db_for_read(self.model)
query = {'%s__%s__in' % (rel_field.name, attname):
[getattr(obj, attname) for obj in instances]}
qs = super(RelatedManager, self).get_query_set().using(db).filter(**query)
return (qs, rel_field.get_attname(), attname)
return (qs,
attrgetter(rel_field.get_attname()),
attrgetter(attname),
False,
rel_field.related_query_name())
def add(self, *objs):
for obj in objs:
@ -507,12 +543,6 @@ def create_many_related_manager(superclass, rel):
return super(ManyRelatedManager, self).get_query_set().using(db)._next_is_sticky().filter(**self.core_filters)
def get_prefetch_query_set(self, instances):
"""
Returns a tuple:
(queryset of instances of self.model that are related to passed in instances
attr of returned instances needed for matching
attr of passed in instances needed for matching)
"""
from django.db import connections
db = self._db or router.db_for_read(self.model)
query = {'%s__pk__in' % self.query_field_name:
@ -534,7 +564,11 @@ def create_many_related_manager(superclass, rel):
qs = qs.extra(select={'_prefetch_related_val':
'%s.%s' % (qn(join_table), qn(source_col))})
select_attname = fk.rel.get_related_field().get_attname()
return (qs, '_prefetch_related_val', select_attname)
return (qs,
attrgetter('_prefetch_related_val'),
attrgetter(select_attname),
False,
self.prefetch_cache_name)
# If the ManyToMany relation has an intermediary model,
# the add and remove methods do not exist.

125
django/db/models/query.py
View File

@ -1612,36 +1612,42 @@ def prefetch_related_objects(result_cache, related_lookups):
break
# Descend down tree
try:
rel_obj = getattr(obj_list[0], attr)
except AttributeError:
# We assume that objects retrieved are homogenous (which is the premise
# of prefetch_related), so what applies to first object applies to all.
first_obj = obj_list[0]
prefetcher, attr_found, is_fetched = get_prefetcher(first_obj, attr)
if not attr_found:
raise AttributeError("Cannot find '%s' on %s object, '%s' is an invalid "
"parameter to prefetch_related()" %
(attr, obj_list[0].__class__.__name__, lookup))
(attr, first_obj.__class__.__name__, lookup))
can_prefetch = hasattr(rel_obj, 'get_prefetch_query_set')
if level == len(attrs) - 1 and not can_prefetch:
# Last one, this *must* resolve to a related manager.
raise ValueError("'%s' does not resolve to a supported 'many related"
" manager' for model %s - this is an invalid"
" parameter to prefetch_related()."
% (lookup, model.__name__))
if level == len(attrs) - 1 and prefetcher is None:
# Last one, this *must* resolve to something that supports
# prefetching, otherwise there is no point adding it and the
# developer asking for it has made a mistake.
raise ValueError("'%s' does not resolve to a item that supports "
"prefetching - this is an invalid parameter to "
"prefetch_related()." % lookup)
if can_prefetch:
if prefetcher is not None and not is_fetched:
# Check we didn't do this already
current_lookup = LOOKUP_SEP.join(attrs[0:level+1])
if current_lookup in done_queries:
obj_list = done_queries[current_lookup]
else:
relmanager = rel_obj
obj_list, additional_prl = prefetch_one_level(obj_list, relmanager, attr)
obj_list, additional_prl = prefetch_one_level(obj_list, prefetcher, attr)
for f in additional_prl:
new_prl = LOOKUP_SEP.join([current_lookup, f])
related_lookups.append(new_prl)
done_queries[current_lookup] = obj_list
else:
# Assume we've got some singly related object. We replace
# the current list of parent objects with that list.
# Either a singly related object that has already been fetched
# (e.g. via select_related), or hopefully some other property
# that doesn't support prefetching but needs to be traversed.
# We replace the current list of parent objects with that list.
obj_list = [getattr(obj, attr) for obj in obj_list]
# Filter out 'None' so that we can continue with nullable
@ -1649,18 +1655,73 @@ def prefetch_related_objects(result_cache, related_lookups):
obj_list = [obj for obj in obj_list if obj is not None]
def prefetch_one_level(instances, relmanager, attname):
def get_prefetcher(instance, attr):
"""
For the attribute 'attr' on the given instance, finds
an object that has a get_prefetch_query_set().
Return a 3 tuple containing:
(the object with get_prefetch_query_set (or None),
a boolean that is False if the attribute was not found at all,
a boolean that is True if the attribute has already been fetched)
"""
prefetcher = None
attr_found = False
is_fetched = False
# For singly related objects, we have to avoid getting the attribute
# from the object, as this will trigger the query. So we first try
# on the class, in order to get the descriptor object.
rel_obj_descriptor = getattr(instance.__class__, attr, None)
if rel_obj_descriptor is None:
try:
rel_obj = getattr(instance, attr)
attr_found = True
except AttributeError:
pass
else:
attr_found = True
if rel_obj_descriptor:
# singly related object, descriptor object has the
# get_prefetch_query_set() method.
if hasattr(rel_obj_descriptor, 'get_prefetch_query_set'):
prefetcher = rel_obj_descriptor
if rel_obj_descriptor.is_cached(instance):
is_fetched = True
else:
# descriptor doesn't support prefetching, so we go ahead and get
# the attribute on the instance rather than the class to
# support many related managers
rel_obj = getattr(instance, attr)
if hasattr(rel_obj, 'get_prefetch_query_set'):
prefetcher = rel_obj
return prefetcher, attr_found, is_fetched
def prefetch_one_level(instances, prefetcher, attname):
"""
Helper function for prefetch_related_objects
Runs prefetches on all instances using the manager relmanager,
assigning results to queryset against instance.attname.
Runs prefetches on all instances using the prefetcher object,
assigning results to relevant caches in instance.
The prefetched objects are returned, along with any additional
prefetches that must be done due to prefetch_related lookups
found from default managers.
"""
rel_qs, rel_obj_attr, instance_attr = relmanager.get_prefetch_query_set(instances)
# prefetcher must have a method get_prefetch_query_set() which takes a list
# of instances, and returns a tuple:
# (queryset of instances of self.model that are related to passed in instances,
# callable that gets value to be matched for returned instances,
# callable that gets value to be matched for passed in instances,
# boolean that is True for singly related objects,
# cache name to assign to).
# The 'values to be matched' must be hashable as they will be used
# in a dictionary.
rel_qs, rel_obj_attr, instance_attr, single, cache_name =\
prefetcher.get_prefetch_query_set(instances)
# We have to handle the possibility that the default manager itself added
# prefetch_related lookups to the QuerySet we just got back. We don't want to
# trigger the prefetch_related functionality by evaluating the query.
@ -1676,17 +1737,25 @@ def prefetch_one_level(instances, relmanager, attname):
rel_obj_cache = {}
for rel_obj in all_related_objects:
rel_attr_val = getattr(rel_obj, rel_obj_attr)
rel_attr_val = rel_obj_attr(rel_obj)
if rel_attr_val not in rel_obj_cache:
rel_obj_cache[rel_attr_val] = []
rel_obj_cache[rel_attr_val].append(rel_obj)
for obj in instances:
qs = getattr(obj, attname).all()
instance_attr_val = getattr(obj, instance_attr)
qs._result_cache = rel_obj_cache.get(instance_attr_val, [])
# We don't want the individual qs doing prefetch_related now, since we
# have merged this into the current work.
qs._prefetch_done = True
obj._prefetched_objects_cache[attname] = qs
instance_attr_val = instance_attr(obj)
vals = rel_obj_cache.get(instance_attr_val, [])
if single:
# Need to assign to single cache on instance
if vals:
setattr(obj, cache_name, vals[0])
else:
# Multi, attribute represents a manager with an .all() method that
# returns a QuerySet
qs = getattr(obj, attname).all()
qs._result_cache = vals
# We don't want the individual qs doing prefetch_related now, since we
# have merged this into the current work.
qs._prefetch_done = True
obj._prefetched_objects_cache[cache_name] = qs
return all_related_objects, additional_prl

87
docs/ref/models/querysets.txt
View File

@ -696,14 +696,26 @@ prefetch_related
.. versionadded:: 1.4
Returns a ``QuerySet`` that will automatically retrieve, in a single batch,
related many-to-many and many-to-one objects for each of the specified lookups.
related objects for each of the specified lookups.
This is similar to ``select_related`` for the 'many related objects' case, but
note that ``prefetch_related`` causes a separate query to be issued for each set
of related objects that you request, unlike ``select_related`` which modifies
the original query with joins in order to get the related objects. With
``prefetch_related``, the additional queries are done as soon as the QuerySet
begins to be evaluated.
This has a similar purpose to ``select_related``, in that both are designed to
stop the deluge of database queries that is caused by accessing related objects,
but the strategy is quite different.
``select_related`` works by creating a SQL join and including the fields of the
related object in the SELECT statement. For this reason, ``select_related`` gets
the related objects in the same database query. However, to avoid the much
larger result set that would result from joining across a 'many' relationship,
``select_related`` is limited to single-valued relationships - foreign key and
one-to-one.
``prefetch_related``, on the other hand, does a separate lookup for each
relationship, and does the 'joining' in Python. This allows it to prefetch
many-to-many and many-to-one objects, which cannot be done using
``select_related``, in addition to the foreign key and one-to-one relationships
that are supported by ``select_related``. It also supports prefetching of
:class:`~django.contrib.contenttypes.generic.GenericRelation` and
:class:`~django.contrib.contenttypes.generic.GenericForeignKey`.
For example, suppose you have these models::
@ -733,14 +745,17 @@ All the relevant toppings will be fetched in a single query, and used to make
``QuerySets`` that have a pre-filled cache of the relevant results. These
``QuerySets`` are then used in the ``self.toppings.all()`` calls.
Please note that use of ``prefetch_related`` will mean that the additional
queries run will **always** be executed - even if you never use the related
objects - and it always fully populates the result cache on the primary
``QuerySet`` (which can sometimes be avoided in other cases).
The additional queries are executed after the QuerySet has begun to be evaluated
and the primary query has been executed. Note that the result cache of the
primary QuerySet and all specified related objects will then be fully loaded
into memory, which is often avoided in other cases - even after a query has been
executed in the database, QuerySet normally tries to make uses of chunking
between the database to avoid loading all objects into memory before you need
them.
Also remember that, as always with QuerySets, any subsequent chained methods
will ignore previously cached results, and retrieve data using a fresh database
query. So, if you write the following:
which imply a different database query will ignore previously cached results,
and retrieve data using a fresh database query. So, if you write the following:
>>> pizzas = Pizza.objects.prefetch_related('toppings')
>>> [list(pizza.toppings.filter(spicy=True)) for pizza in pizzas]
@ -749,12 +764,6 @@ query. So, if you write the following:
you - in fact it hurts performance, since you have done a database query that
you haven't used. So use this feature with caution!
The lookups that must be supplied to this method can be any attributes on the
model instances which represent related queries that return multiple
objects. This includes attributes representing the 'many' side of ``ForeignKey``
relationships, forward and reverse ``ManyToManyField`` attributes, and also any
``GenericRelations``.
You can also use the normal join syntax to do related fields of related
fields. Suppose we have an additional model to the example above::
@ -770,24 +779,40 @@ This will prefetch all pizzas belonging to restaurants, and all toppings
belonging to those pizzas. This will result in a total of 3 database queries -
one for the restaurants, one for the pizzas, and one for the toppings.
>>> Restaurant.objects.select_related('best_pizza').prefetch_related('best_pizza__toppings')
>>> Restaurant.objects.prefetch_related('best_pizza__toppings')
This will fetch the best pizza and all the toppings for the best pizza for each
restaurant. This will be done in 2 database queries - one for the restaurants
and 'best pizzas' combined (achieved through use of ``select_related``), and one
for the toppings.
restaurant. This will be done in 3 database queries - one for the restaurants,
one for the 'best pizzas', and one for one for the toppings.
Chaining ``prefetch_related`` calls will accumulate the fields that should have
this behavior applied. To clear any ``prefetch_related`` behavior, pass `None`
as a parameter::
Of course, the ``best_pizza`` relationship could also be fetched using
``select_related`` to reduce the query count to 2:
>>> Restaurant.objects.select_related('best_pizza').prefetch_related('best_pizza__toppings')
Since the prefetch is executed after the main query (which includes the joins
needed by ``select_related``), it is able to detect that the ``best_pizza``
objects have already been fetched, and it will skip fetching them again.
Chaining ``prefetch_related`` calls will accumulate the lookups that are
prefetched. To clear any ``prefetch_related`` behavior, pass `None` as a
parameter::
>>> non_prefetched = qs.prefetch_related(None)
One difference when using ``prefetch_related`` is that, in some circumstances,
objects created by a query can be shared between the different objects that they
are related to i.e. a single Python model instance can appear at more than one
point in the tree of objects that are returned. Normally this behavior will not
be a problem, and will in fact save both memory and CPU time.
One difference to note when using ``prefetch_related`` is that objects created
by a query can be shared between the different objects that they are related to
i.e. a single Python model instance can appear at more than one point in the
tree of objects that are returned. This will normally happen with foreign key
relationships. Typically this behavior will not be a problem, and will in fact
save both memory and CPU time.
While ``prefetch_related`` supports prefetching ``GenericForeignKey``
relationships, the number of queries will depend on the data. Since a
``GenericForeignKey`` can reference data in multiple tables, one query per table
referenced is needed, rather than one query for all the items. There could be
additional queries on the ``ContentType`` table if the relevant rows have not
already been fetched.
extra
~~~~~

19
docs/releases/1.4.txt
View File

@ -66,15 +66,18 @@ information.
``QuerySet.prefetch_related``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Analagous to :meth:`~django.db.models.query.QuerySet.select_related` but for
many-to-many relationships,
Similar to :meth:`~django.db.models.query.QuerySet.select_related` but with a
different strategy and broader scope,
:meth:`~django.db.models.query.QuerySet.prefetch_related` has been added to
:class:`~django.db.models.query.QuerySet`. This method returns a new ``QuerySet``
that will prefetch in a single batch each of the specified related lookups as
soon as it begins to be evaluated (e.g. by iterating over it). This enables you
to fix many instances of a very common performance problem, in which your code
ends up doing O(n) database queries (or worse) if objects on your primary
``QuerySet`` each have many related objects that you also need.
:class:`~django.db.models.query.QuerySet`. This method returns a new
``QuerySet`` that will prefetch in a single batch each of the specified related
lookups as soon as it begins to be evaluated. Unlike ``select_related``, it does
the joins in Python, not in the database, and supports many-to-many
relationships, :class:`~django.contrib.contenttypes.generic.GenericForeignKey`
and more. This enables you to fix many instances of a very common performance
problem, in which your code ends up doing O(n) database queries (or worse) if
objects on your primary ``QuerySet`` each have many related objects that you
also need.
HTML5
~~~~~

6
tests/modeltests/prefetch_related/models.py
View File

@ -104,13 +104,17 @@ class Department(models.Model):
ordering = ['id']
## Generic relation tests
## GenericRelation/GenericForeignKey tests
class TaggedItem(models.Model):
tag = models.SlugField()
content_type = models.ForeignKey(ContentType, related_name="taggeditem_set2")
object_id = models.PositiveIntegerField()
content_object = generic.GenericForeignKey('content_type', 'object_id')
created_by_ct = models.ForeignKey(ContentType, null=True,
related_name='taggeditem_set3')
created_by_fkey = models.PositiveIntegerField(null=True)
created_by = generic.GenericForeignKey('created_by_ct', 'created_by_fkey',)
def __unicode__(self):
return self.tag

104
tests/modeltests/prefetch_related/tests.py
View File

@ -54,6 +54,13 @@ class PrefetchRelatedTests(TestCase):
normal_lists = [list(a.books.all()) for a in Author.objects.all()]
self.assertEqual(lists, normal_lists)
def test_foreignkey_forward(self):
with self.assertNumQueries(2):
books = [a.first_book for a in Author.objects.prefetch_related('first_book')]
normal_books = [a.first_book for a in Author.objects.all()]
self.assertEqual(books, normal_books)
def test_foreignkey_reverse(self):
with self.assertNumQueries(2):
lists = [list(b.first_time_authors.all())
@ -175,12 +182,12 @@ class PrefetchRelatedTests(TestCase):
self.assertTrue('prefetch_related' in str(cm.exception))
def test_invalid_final_lookup(self):
qs = Book.objects.prefetch_related('authors__first_book')
qs = Book.objects.prefetch_related('authors__name')
with self.assertRaises(ValueError) as cm:
list(qs)
self.assertTrue('prefetch_related' in str(cm.exception))
self.assertTrue("first_book" in str(cm.exception))
self.assertTrue("name" in str(cm.exception))
class DefaultManagerTests(TestCase):
@ -222,39 +229,68 @@ class DefaultManagerTests(TestCase):
class GenericRelationTests(TestCase):
def test_traverse_GFK(self):
"""
Test that we can traverse a 'content_object' with prefetch_related()
"""
# In fact, there is no special support for this in prefetch_related code
# - we can traverse any object that will lead us to objects that have
# related managers.
def setUp(self):
book1 = Book.objects.create(title="Winnie the Pooh")
book2 = Book.objects.create(title="Do you like green eggs and spam?")
book3 = Book.objects.create(title="Three Men In A Boat")
reader1 = Reader.objects.create(name="me")
reader2 = Reader.objects.create(name="you")
reader3 = Reader.objects.create(name="someone")
book1.read_by.add(reader1)
book1.read_by.add(reader1, reader2)
book2.read_by.add(reader2)
book3.read_by.add(reader3)
TaggedItem.objects.create(tag="awesome", content_object=book1)
TaggedItem.objects.create(tag="awesome", content_object=book2)
self.book1, self.book2, self.book3 = book1, book2, book3
self.reader1, self.reader2, self.reader3 = reader1, reader2, reader3
def test_prefetch_GFK(self):
TaggedItem.objects.create(tag="awesome", content_object=self.book1)
TaggedItem.objects.create(tag="great", content_object=self.reader1)
TaggedItem.objects.create(tag="stupid", content_object=self.book2)
TaggedItem.objects.create(tag="amazing", content_object=self.reader3)
# 1 for TaggedItem table, 1 for Book table, 1 for Reader table
with self.assertNumQueries(3):
qs = TaggedItem.objects.prefetch_related('content_object')
list(qs)
def test_traverse_GFK(self):
"""
Test that we can traverse a 'content_object' with prefetch_related() and
get to related objects on the other side (assuming it is suitably
filtered)
"""
TaggedItem.objects.create(tag="awesome", content_object=self.book1)
TaggedItem.objects.create(tag="awesome", content_object=self.book2)
TaggedItem.objects.create(tag="awesome", content_object=self.book3)
TaggedItem.objects.create(tag="awesome", content_object=self.reader1)
TaggedItem.objects.create(tag="awesome", content_object=self.reader2)
ct = ContentType.objects.get_for_model(Book)
# We get 4 queries - 1 for main query, 2 for each access to
# 'content_object' because these can't be handled by select_related, and
# 1 for the 'read_by' relation.
with self.assertNumQueries(4):
# We get 3 queries - 1 for main query, 1 for content_objects since they
# all use the same table, and 1 for the 'read_by' relation.
with self.assertNumQueries(3):
# If we limit to books, we know that they will have 'read_by'
# attributes, so the following makes sense:
qs = TaggedItem.objects.select_related('content_type').prefetch_related('content_object__read_by').filter(tag='awesome').filter(content_type=ct, tag='awesome')
readers_of_awesome_books = [r.name for tag in qs
for r in tag.content_object.read_by.all()]
self.assertEqual(readers_of_awesome_books, ["me", "you"])
qs = TaggedItem.objects.filter(content_type=ct, tag='awesome').prefetch_related('content_object__read_by')
readers_of_awesome_books = set([r.name for tag in qs
for r in tag.content_object.read_by.all()])
self.assertEqual(readers_of_awesome_books, set(["me", "you", "someone"]))
def test_nullable_GFK(self):
TaggedItem.objects.create(tag="awesome", content_object=self.book1,
created_by=self.reader1)
TaggedItem.objects.create(tag="great", content_object=self.book2)
TaggedItem.objects.create(tag="rubbish", content_object=self.book3)
with self.assertNumQueries(2):
result = [t.created_by for t in TaggedItem.objects.prefetch_related('created_by')]
self.assertEqual(result,
[t.created_by for t in TaggedItem.objects.all()])
def test_generic_relation(self):
b = Bookmark.objects.create(url='http://www.djangoproject.com/')
@ -311,9 +347,14 @@ class MultiTableInheritanceTest(TestCase):
self.assertEquals(lst, lst2)
def test_parent_link_prefetch(self):
with self.assertRaises(ValueError) as cm:
qs = list(AuthorWithAge.objects.prefetch_related('author'))
self.assertTrue('prefetch_related' in str(cm.exception))
with self.assertNumQueries(2):
[a.author for a in AuthorWithAge.objects.prefetch_related('author')]
def test_child_link_prefetch(self):
with self.assertNumQueries(2):
l = [a.authorwithage for a in Author.objects.prefetch_related('authorwithage')]
self.assertEqual(l, [a.authorwithage for a in Author.objects.all()])
class ForeignKeyToFieldTest(TestCase):
@ -406,6 +447,8 @@ class NullableTest(TestCase):
worker2 = Employee.objects.create(name="Angela", boss=boss)
def test_traverse_nullable(self):
# Because we use select_related() for 'boss', it doesn't need to be
# prefetched, but we can still traverse it although it contains some nulls
with self.assertNumQueries(2):
qs = Employee.objects.select_related('boss').prefetch_related('boss__serfs')
co_serfs = [list(e.boss.serfs.all()) if e.boss is not None else []
@ -416,3 +459,16 @@ class NullableTest(TestCase):
for e in qs2]
self.assertEqual(co_serfs, co_serfs2)
def test_prefetch_nullable(self):
# One for main employee, one for boss, one for serfs
with self.assertNumQueries(3):
qs = Employee.objects.prefetch_related('boss__serfs')
co_serfs = [list(e.boss.serfs.all()) if e.boss is not None else []
for e in qs]
qs2 = Employee.objects.all()
co_serfs2 = [list(e.boss.serfs.all()) if e.boss is not None else []
for e in qs2]
self.assertEqual(co_serfs, co_serfs2)