Fixed #17001 -- Custom querysets for prefetch_related.
This patch introduces the Prefetch object which allows customizing prefetch operations. This enables things like filtering prefetched relations, calling select_related from a prefetched relation, or prefetching the same relation multiple times with different querysets. When a Prefetch instance specifies a to_attr argument, the result is stored in a list rather than a QuerySet. This has the fortunate consequence of being significantly faster. The preformance improvement is due to the fact that we save the costly creation of a QuerySet instance. Thanks @akaariai for the original patch and @bmispelon and @timgraham for the reviews.
This commit is contained in:
parent
b1b04df065
commit
f51c1f5900
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@ -76,7 +76,10 @@ class GenericForeignKey(six.with_metaclass(RenameGenericForeignKeyMethods)):
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# This should never happen. I love comments like this, don't you?
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# This should never happen. I love comments like this, don't you?
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raise Exception("Impossible arguments to GFK.get_content_type!")
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raise Exception("Impossible arguments to GFK.get_content_type!")
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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if queryset is not None:
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raise ValueError("Custom queryset can't be used for this lookup.")
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# For efficiency, group the instances by content type and then do one
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# For efficiency, group the instances by content type and then do one
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# query per model
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# query per model
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fk_dict = defaultdict(set)
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fk_dict = defaultdict(set)
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@ -348,17 +351,22 @@ def create_generic_related_manager(superclass):
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db = self._db or router.db_for_read(self.model, instance=self.instance)
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db = self._db or router.db_for_read(self.model, instance=self.instance)
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return super(GenericRelatedObjectManager, self).get_queryset().using(db).filter(**self.core_filters)
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return super(GenericRelatedObjectManager, self).get_queryset().using(db).filter(**self.core_filters)
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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db = self._db or router.db_for_read(self.model, instance=instances[0])
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if queryset is None:
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queryset = super(GenericRelatedObjectManager, self).get_queryset()
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queryset._add_hints(instance=instances[0])
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queryset = queryset.using(queryset._db or self._db)
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query = {
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query = {
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'%s__pk' % self.content_type_field_name: self.content_type.id,
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'%s__pk' % self.content_type_field_name: self.content_type.id,
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'%s__in' % self.object_id_field_name: set(obj._get_pk_val() for obj in instances)
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'%s__in' % self.object_id_field_name: set(obj._get_pk_val() for obj in instances)
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}
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}
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qs = super(GenericRelatedObjectManager, self).get_queryset().using(db).filter(**query)
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# We (possibly) need to convert object IDs to the type of the
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# We (possibly) need to convert object IDs to the type of the
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# instances' PK in order to match up instances:
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# instances' PK in order to match up instances:
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object_id_converter = instances[0]._meta.pk.to_python
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object_id_converter = instances[0]._meta.pk.to_python
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return (qs,
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return (queryset.filter(**query),
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lambda relobj: object_id_converter(getattr(relobj, self.object_id_field_name)),
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lambda relobj: object_id_converter(getattr(relobj, self.object_id_field_name)),
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lambda obj: obj._get_pk_val(),
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lambda obj: obj._get_pk_val(),
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False,
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False,
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@ -4,7 +4,7 @@ from django.core.exceptions import ObjectDoesNotExist, ImproperlyConfigured # N
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from django.db.models.loading import ( # NOQA
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from django.db.models.loading import ( # NOQA
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get_apps, get_app_path, get_app_paths, get_app, get_models, get_model,
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get_apps, get_app_path, get_app_paths, get_app, get_models, get_model,
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register_models, UnavailableApp)
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register_models, UnavailableApp)
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from django.db.models.query import Q, QuerySet # NOQA
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from django.db.models.query import Q, QuerySet, Prefetch # NOQA
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from django.db.models.expressions import F # NOQA
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from django.db.models.expressions import F # NOQA
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from django.db.models.manager import Manager # NOQA
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from django.db.models.manager import Manager # NOQA
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from django.db.models.base import Model # NOQA
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from django.db.models.base import Model # NOQA
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@ -162,7 +162,10 @@ class SingleRelatedObjectDescriptor(six.with_metaclass(RenameRelatedObjectDescri
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def get_queryset(self, **hints):
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def get_queryset(self, **hints):
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return self.related.model._base_manager.db_manager(hints=hints)
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return self.related.model._base_manager.db_manager(hints=hints)
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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if queryset is not None:
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raise ValueError("Custom queryset can't be used for this lookup.")
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rel_obj_attr = attrgetter(self.related.field.attname)
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rel_obj_attr = attrgetter(self.related.field.attname)
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instance_attr = lambda obj: obj._get_pk_val()
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instance_attr = lambda obj: obj._get_pk_val()
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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@ -264,7 +267,10 @@ class ReverseSingleRelatedObjectDescriptor(six.with_metaclass(RenameRelatedObjec
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else:
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else:
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return QuerySet(self.field.rel.to, hints=hints)
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return QuerySet(self.field.rel.to, hints=hints)
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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if queryset is not None:
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raise ValueError("Custom queryset can't be used for this lookup.")
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rel_obj_attr = self.field.get_foreign_related_value
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rel_obj_attr = self.field.get_foreign_related_value
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instance_attr = self.field.get_local_related_value
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instance_attr = self.field.get_local_related_value
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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@ -397,23 +403,26 @@ def create_foreign_related_manager(superclass, rel_field, rel_model):
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qs._known_related_objects = {rel_field: {self.instance.pk: self.instance}}
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qs._known_related_objects = {rel_field: {self.instance.pk: self.instance}}
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return qs
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return qs
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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if queryset is None:
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queryset = super(RelatedManager, self).get_queryset()
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queryset._add_hints(instance=instances[0])
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queryset = queryset.using(queryset._db or self._db)
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rel_obj_attr = rel_field.get_local_related_value
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rel_obj_attr = rel_field.get_local_related_value
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instance_attr = rel_field.get_foreign_related_value
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instance_attr = rel_field.get_foreign_related_value
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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instances_dict = dict((instance_attr(inst), inst) for inst in instances)
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query = {'%s__in' % rel_field.name: instances}
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query = {'%s__in' % rel_field.name: instances}
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qs = super(RelatedManager, self).get_queryset()
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queryset = queryset.filter(**query)
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qs._add_hints(instance=instances[0])
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if self._db:
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qs = qs.using(self._db)
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qs = qs.filter(**query)
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# Since we just bypassed this class' get_queryset(), we must manage
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# Since we just bypassed this class' get_queryset(), we must manage
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# the reverse relation manually.
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# the reverse relation manually.
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for rel_obj in qs:
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for rel_obj in queryset:
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instance = instances_dict[rel_obj_attr(rel_obj)]
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instance = instances_dict[rel_obj_attr(rel_obj)]
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setattr(rel_obj, rel_field.name, instance)
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setattr(rel_obj, rel_field.name, instance)
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cache_name = rel_field.related_query_name()
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cache_name = rel_field.related_query_name()
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return qs, rel_obj_attr, instance_attr, False, cache_name
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return queryset, rel_obj_attr, instance_attr, False, cache_name
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def add(self, *objs):
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def add(self, *objs):
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objs = list(objs)
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objs = list(objs)
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@ -563,15 +572,15 @@ def create_many_related_manager(superclass, rel):
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qs = qs.using(self._db)
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qs = qs.using(self._db)
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return qs._next_is_sticky().filter(**self.core_filters)
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return qs._next_is_sticky().filter(**self.core_filters)
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def get_prefetch_queryset(self, instances):
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def get_prefetch_queryset(self, instances, queryset=None):
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instance = instances[0]
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if queryset is None:
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db = self._db or router.db_for_read(instance.__class__, instance=instance)
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queryset = super(ManyRelatedManager, self).get_queryset()
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queryset._add_hints(instance=instances[0])
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queryset = queryset.using(queryset._db or self._db)
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query = {'%s__in' % self.query_field_name: instances}
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query = {'%s__in' % self.query_field_name: instances}
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qs = super(ManyRelatedManager, self).get_queryset()
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queryset = queryset._next_is_sticky().filter(**query)
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qs._add_hints(instance=instance)
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if self._db:
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qs = qs.using(db)
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qs = qs._next_is_sticky().filter(**query)
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# M2M: need to annotate the query in order to get the primary model
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# M2M: need to annotate the query in order to get the primary model
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# that the secondary model was actually related to. We know that
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# that the secondary model was actually related to. We know that
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@ -582,12 +591,12 @@ def create_many_related_manager(superclass, rel):
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# dealing with PK values.
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# dealing with PK values.
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fk = self.through._meta.get_field(self.source_field_name)
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fk = self.through._meta.get_field(self.source_field_name)
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join_table = self.through._meta.db_table
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join_table = self.through._meta.db_table
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connection = connections[db]
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connection = connections[queryset.db]
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qn = connection.ops.quote_name
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qn = connection.ops.quote_name
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qs = qs.extra(select=dict(
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queryset = queryset.extra(select=dict(
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('_prefetch_related_val_%s' % f.attname,
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('_prefetch_related_val_%s' % f.attname,
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'%s.%s' % (qn(join_table), qn(f.column))) for f in fk.local_related_fields))
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'%s.%s' % (qn(join_table), qn(f.column))) for f in fk.local_related_fields))
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return (qs,
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return (queryset,
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lambda result: tuple(getattr(result, '_prefetch_related_val_%s' % f.attname) for f in fk.local_related_fields),
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lambda result: tuple(getattr(result, '_prefetch_related_val_%s' % f.attname) for f in fk.local_related_fields),
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lambda inst: tuple(getattr(inst, f.attname) for f in fk.foreign_related_fields),
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lambda inst: tuple(getattr(inst, f.attname) for f in fk.foreign_related_fields),
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False,
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False,
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@ -1619,6 +1619,59 @@ class RawQuerySet(object):
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return self._model_fields
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return self._model_fields
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class Prefetch(object):
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def __init__(self, lookup, queryset=None, to_attr=None):
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# `prefetch_through` is the path we traverse to perform the prefetch.
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self.prefetch_through = lookup
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# `prefetch_to` is the path to the attribute that stores the result.
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self.prefetch_to = lookup
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if to_attr:
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self.prefetch_to = LOOKUP_SEP.join(lookup.split(LOOKUP_SEP)[:-1] + [to_attr])
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self.queryset = queryset
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self.to_attr = to_attr
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def add_prefix(self, prefix):
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self.prefetch_through = LOOKUP_SEP.join([prefix, self.prefetch_through])
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self.prefetch_to = LOOKUP_SEP.join([prefix, self.prefetch_to])
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def get_current_prefetch_through(self, level):
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return LOOKUP_SEP.join(self.prefetch_through.split(LOOKUP_SEP)[:level + 1])
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def get_current_prefetch_to(self, level):
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return LOOKUP_SEP.join(self.prefetch_to.split(LOOKUP_SEP)[:level + 1])
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def get_current_to_attr(self, level):
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parts = self.prefetch_to.split(LOOKUP_SEP)
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to_attr = parts[level]
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to_list = self.to_attr and level == len(parts) - 1
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return to_attr, to_list
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def get_current_queryset(self, level):
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if self.get_current_prefetch_to(level) == self.prefetch_to:
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return self.queryset
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return None
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def __eq__(self, other):
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if isinstance(other, Prefetch):
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return self.prefetch_to == other.prefetch_to
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return False
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def normalize_prefetch_lookups(lookups, prefix=None):
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"""
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Helper function that normalize lookups into Prefetch objects.
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"""
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ret = []
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for lookup in lookups:
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if not isinstance(lookup, Prefetch):
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lookup = Prefetch(lookup)
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if prefix:
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lookup.add_prefix(prefix)
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ret.append(lookup)
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return ret
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def prefetch_related_objects(result_cache, related_lookups):
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def prefetch_related_objects(result_cache, related_lookups):
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"""
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"""
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Helper function for prefetch_related functionality
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Helper function for prefetch_related functionality
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@ -1626,13 +1679,15 @@ def prefetch_related_objects(result_cache, related_lookups):
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Populates prefetched objects caches for a list of results
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Populates prefetched objects caches for a list of results
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from a QuerySet
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from a QuerySet
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"""
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"""
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if len(result_cache) == 0:
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if len(result_cache) == 0:
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return # nothing to do
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return # nothing to do
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related_lookups = normalize_prefetch_lookups(related_lookups)
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# We need to be able to dynamically add to the list of prefetch_related
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# We need to be able to dynamically add to the list of prefetch_related
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# lookups that we look up (see below). So we need some book keeping to
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# lookups that we look up (see below). So we need some book keeping to
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# ensure we don't do duplicate work.
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# ensure we don't do duplicate work.
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done_lookups = set() # list of lookups like foo__bar__baz
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done_queries = {} # dictionary of things like 'foo__bar': [results]
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done_queries = {} # dictionary of things like 'foo__bar': [results]
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auto_lookups = [] # we add to this as we go through.
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auto_lookups = [] # we add to this as we go through.
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@ -1640,25 +1695,27 @@ def prefetch_related_objects(result_cache, related_lookups):
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all_lookups = itertools.chain(related_lookups, auto_lookups)
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all_lookups = itertools.chain(related_lookups, auto_lookups)
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for lookup in all_lookups:
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for lookup in all_lookups:
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if lookup in done_lookups:
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if lookup.prefetch_to in done_queries:
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# We've done exactly this already, skip the whole thing
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if lookup.queryset:
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raise ValueError("'%s' lookup was already seen with a different queryset. "
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"You may need to adjust the ordering of your lookups." % lookup.prefetch_to)
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continue
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continue
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done_lookups.add(lookup)
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# Top level, the list of objects to decorate is the result cache
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# Top level, the list of objects to decorate is the result cache
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# from the primary QuerySet. It won't be for deeper levels.
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# from the primary QuerySet. It won't be for deeper levels.
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obj_list = result_cache
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obj_list = result_cache
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attrs = lookup.split(LOOKUP_SEP)
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through_attrs = lookup.prefetch_through.split(LOOKUP_SEP)
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for level, attr in enumerate(attrs):
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for level, through_attr in enumerate(through_attrs):
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# Prepare main instances
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# Prepare main instances
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if len(obj_list) == 0:
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if len(obj_list) == 0:
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break
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break
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current_lookup = LOOKUP_SEP.join(attrs[:level + 1])
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prefetch_to = lookup.get_current_prefetch_to(level)
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if current_lookup in done_queries:
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if prefetch_to in done_queries:
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# Skip any prefetching, and any object preparation
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# Skip any prefetching, and any object preparation
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obj_list = done_queries[current_lookup]
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obj_list = done_queries[prefetch_to]
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continue
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continue
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# Prepare objects:
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# Prepare objects:
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@ -1685,34 +1742,40 @@ def prefetch_related_objects(result_cache, related_lookups):
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# We assume that objects retrieved are homogenous (which is the premise
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# We assume that objects retrieved are homogenous (which is the premise
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# of prefetch_related), so what applies to first object applies to all.
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# of prefetch_related), so what applies to first object applies to all.
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first_obj = obj_list[0]
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first_obj = obj_list[0]
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prefetcher, descriptor, attr_found, is_fetched = get_prefetcher(first_obj, attr)
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prefetcher, descriptor, attr_found, is_fetched = get_prefetcher(first_obj, through_attr)
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if not attr_found:
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if not attr_found:
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raise AttributeError("Cannot find '%s' on %s object, '%s' is an invalid "
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raise AttributeError("Cannot find '%s' on %s object, '%s' is an invalid "
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"parameter to prefetch_related()" %
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"parameter to prefetch_related()" %
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(attr, first_obj.__class__.__name__, lookup))
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(through_attr, first_obj.__class__.__name__, lookup.prefetch_through))
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if level == len(attrs) - 1 and prefetcher is None:
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if level == len(through_attrs) - 1 and prefetcher is None:
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# Last one, this *must* resolve to something that supports
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# Last one, this *must* resolve to something that supports
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# prefetching, otherwise there is no point adding it and the
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# prefetching, otherwise there is no point adding it and the
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# developer asking for it has made a mistake.
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# developer asking for it has made a mistake.
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raise ValueError("'%s' does not resolve to a item that supports "
|
raise ValueError("'%s' does not resolve to a item that supports "
|
||||||
"prefetching - this is an invalid parameter to "
|
"prefetching - this is an invalid parameter to "
|
||||||
"prefetch_related()." % lookup)
|
"prefetch_related()." % lookup.prefetch_through)
|
||||||
|
|
||||||
if prefetcher is not None and not is_fetched:
|
if prefetcher is not None and not is_fetched:
|
||||||
obj_list, additional_prl = prefetch_one_level(obj_list, prefetcher, attr)
|
obj_list, additional_lookups = prefetch_one_level(obj_list, prefetcher, lookup, level)
|
||||||
# We need to ensure we don't keep adding lookups from the
|
# We need to ensure we don't keep adding lookups from the
|
||||||
# same relationships to stop infinite recursion. So, if we
|
# same relationships to stop infinite recursion. So, if we
|
||||||
# are already on an automatically added lookup, don't add
|
# are already on an automatically added lookup, don't add
|
||||||
# the new lookups from relationships we've seen already.
|
# the new lookups from relationships we've seen already.
|
||||||
if not (lookup in auto_lookups and
|
if not (lookup in auto_lookups and descriptor in followed_descriptors):
|
||||||
descriptor in followed_descriptors):
|
done_queries[prefetch_to] = obj_list
|
||||||
for f in additional_prl:
|
auto_lookups.extend(normalize_prefetch_lookups(additional_lookups, prefetch_to))
|
||||||
new_prl = LOOKUP_SEP.join([current_lookup, f])
|
|
||||||
auto_lookups.append(new_prl)
|
|
||||||
done_queries[current_lookup] = obj_list
|
|
||||||
followed_descriptors.add(descriptor)
|
followed_descriptors.add(descriptor)
|
||||||
|
elif isinstance(getattr(first_obj, through_attr), list):
|
||||||
|
# The current part of the lookup relates to a custom Prefetch.
|
||||||
|
# This means that obj.attr is a list of related objects, and
|
||||||
|
# thus we must turn the obj.attr lists into a single related
|
||||||
|
# object list.
|
||||||
|
new_list = []
|
||||||
|
for obj in obj_list:
|
||||||
|
new_list.extend(getattr(obj, through_attr))
|
||||||
|
obj_list = new_list
|
||||||
else:
|
else:
|
||||||
# Either a singly related object that has already been fetched
|
# Either a singly related object that has already been fetched
|
||||||
# (e.g. via select_related), or hopefully some other property
|
# (e.g. via select_related), or hopefully some other property
|
||||||
|
@ -1724,7 +1787,7 @@ def prefetch_related_objects(result_cache, related_lookups):
|
||||||
new_obj_list = []
|
new_obj_list = []
|
||||||
for obj in obj_list:
|
for obj in obj_list:
|
||||||
try:
|
try:
|
||||||
new_obj = getattr(obj, attr)
|
new_obj = getattr(obj, through_attr)
|
||||||
except exceptions.ObjectDoesNotExist:
|
except exceptions.ObjectDoesNotExist:
|
||||||
continue
|
continue
|
||||||
if new_obj is None:
|
if new_obj is None:
|
||||||
|
@ -1755,6 +1818,11 @@ def get_prefetcher(instance, attr):
|
||||||
try:
|
try:
|
||||||
rel_obj = getattr(instance, attr)
|
rel_obj = getattr(instance, attr)
|
||||||
attr_found = True
|
attr_found = True
|
||||||
|
# If we are following a lookup path which leads us through a previous
|
||||||
|
# fetch from a custom Prefetch then we might end up into a list
|
||||||
|
# instead of related qs. This means the objects are already fetched.
|
||||||
|
if isinstance(rel_obj, list):
|
||||||
|
is_fetched = True
|
||||||
except AttributeError:
|
except AttributeError:
|
||||||
pass
|
pass
|
||||||
else:
|
else:
|
||||||
|
@ -1776,7 +1844,7 @@ def get_prefetcher(instance, attr):
|
||||||
return prefetcher, rel_obj_descriptor, attr_found, is_fetched
|
return prefetcher, rel_obj_descriptor, attr_found, is_fetched
|
||||||
|
|
||||||
|
|
||||||
def prefetch_one_level(instances, prefetcher, attname):
|
def prefetch_one_level(instances, prefetcher, lookup, level):
|
||||||
"""
|
"""
|
||||||
Helper function for prefetch_related_objects
|
Helper function for prefetch_related_objects
|
||||||
|
|
||||||
|
@ -1799,14 +1867,14 @@ def prefetch_one_level(instances, prefetcher, attname):
|
||||||
# The 'values to be matched' must be hashable as they will be used
|
# The 'values to be matched' must be hashable as they will be used
|
||||||
# in a dictionary.
|
# in a dictionary.
|
||||||
|
|
||||||
rel_qs, rel_obj_attr, instance_attr, single, cache_name =\
|
rel_qs, rel_obj_attr, instance_attr, single, cache_name = (
|
||||||
prefetcher.get_prefetch_queryset(instances)
|
prefetcher.get_prefetch_queryset(instances, lookup.get_current_queryset(level)))
|
||||||
# We have to handle the possibility that the default manager itself added
|
# 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
|
# prefetch_related lookups to the QuerySet we just got back. We don't want to
|
||||||
# trigger the prefetch_related functionality by evaluating the query.
|
# trigger the prefetch_related functionality by evaluating the query.
|
||||||
# Rather, we need to merge in the prefetch_related lookups.
|
# Rather, we need to merge in the prefetch_related lookups.
|
||||||
additional_prl = getattr(rel_qs, '_prefetch_related_lookups', [])
|
additional_lookups = getattr(rel_qs, '_prefetch_related_lookups', [])
|
||||||
if additional_prl:
|
if additional_lookups:
|
||||||
# Don't need to clone because the manager should have given us a fresh
|
# Don't need to clone because the manager should have given us a fresh
|
||||||
# instance, so we access an internal instead of using public interface
|
# instance, so we access an internal instead of using public interface
|
||||||
# for performance reasons.
|
# for performance reasons.
|
||||||
|
@ -1826,12 +1894,15 @@ def prefetch_one_level(instances, prefetcher, attname):
|
||||||
# Need to assign to single cache on instance
|
# Need to assign to single cache on instance
|
||||||
setattr(obj, cache_name, vals[0] if vals else None)
|
setattr(obj, cache_name, vals[0] if vals else None)
|
||||||
else:
|
else:
|
||||||
# Multi, attribute represents a manager with an .all() method that
|
to_attr, to_list = lookup.get_current_to_attr(level)
|
||||||
# returns a QuerySet
|
if to_list:
|
||||||
qs = getattr(obj, attname).all()
|
setattr(obj, to_attr, vals)
|
||||||
qs._result_cache = vals
|
else:
|
||||||
# We don't want the individual qs doing prefetch_related now, since we
|
# Cache in the QuerySet.all().
|
||||||
# have merged this into the current work.
|
qs = getattr(obj, to_attr).all()
|
||||||
qs._prefetch_done = True
|
qs._result_cache = vals
|
||||||
obj._prefetched_objects_cache[cache_name] = qs
|
# We don't want the individual qs doing prefetch_related now,
|
||||||
return all_related_objects, additional_prl
|
# 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_lookups
|
||||||
|
|
|
@ -129,3 +129,32 @@ In general, ``Q() objects`` make it possible to define and reuse conditions.
|
||||||
This permits the :ref:`construction of complex database queries
|
This permits the :ref:`construction of complex database queries
|
||||||
<complex-lookups-with-q>` using ``|`` (``OR``) and ``&`` (``AND``) operators;
|
<complex-lookups-with-q>` using ``|`` (``OR``) and ``&`` (``AND``) operators;
|
||||||
in particular, it is not otherwise possible to use ``OR`` in ``QuerySets``.
|
in particular, it is not otherwise possible to use ``OR`` in ``QuerySets``.
|
||||||
|
|
||||||
|
``Prefetch()`` objects
|
||||||
|
======================
|
||||||
|
|
||||||
|
.. versionadded:: 1.7
|
||||||
|
|
||||||
|
.. class:: Prefetch(lookup, queryset=None, to_attr=None)
|
||||||
|
|
||||||
|
The ``Prefetch()`` object can be used to control the operation of
|
||||||
|
:meth:`~django.db.models.query.QuerySet.prefetch_related()`.
|
||||||
|
|
||||||
|
The ``lookup`` argument describes the relations to follow and works the same
|
||||||
|
as the string based lookups passed to
|
||||||
|
:meth:`~django.db.models.query.QuerySet.prefetch_related()`.
|
||||||
|
|
||||||
|
The ``queryset`` argument supplies a base ``QuerySet`` for the given lookup.
|
||||||
|
This is useful to further filter down the prefetch operation, or to call
|
||||||
|
:meth:`~django.db.models.query.QuerySet.select_related()` from the prefetched
|
||||||
|
relation, hence reducing the number of queries even further.
|
||||||
|
|
||||||
|
The ``to_attr`` argument sets the result of the prefetch operation to a custom
|
||||||
|
attribute.
|
||||||
|
|
||||||
|
.. note::
|
||||||
|
|
||||||
|
When using ``to_attr`` the prefetched result is stored in a list.
|
||||||
|
This can provide a significant speed improvement over traditional
|
||||||
|
``prefetch_related`` calls which store the cached result within a
|
||||||
|
``QuerySet`` instance.
|
||||||
|
|
|
@ -898,7 +898,7 @@ objects have already been fetched, and it will skip fetching them again.
|
||||||
|
|
||||||
Chaining ``prefetch_related`` calls will accumulate the lookups that are
|
Chaining ``prefetch_related`` calls will accumulate the lookups that are
|
||||||
prefetched. To clear any ``prefetch_related`` behavior, pass ``None`` as a
|
prefetched. To clear any ``prefetch_related`` behavior, pass ``None`` as a
|
||||||
parameter::
|
parameter:
|
||||||
|
|
||||||
>>> non_prefetched = qs.prefetch_related(None)
|
>>> non_prefetched = qs.prefetch_related(None)
|
||||||
|
|
||||||
|
@ -925,6 +925,91 @@ profile for your use case!
|
||||||
Note that if you use ``iterator()`` to run the query, ``prefetch_related()``
|
Note that if you use ``iterator()`` to run the query, ``prefetch_related()``
|
||||||
calls will be ignored since these two optimizations do not make sense together.
|
calls will be ignored since these two optimizations do not make sense together.
|
||||||
|
|
||||||
|
.. versionadded:: 1.7
|
||||||
|
|
||||||
|
You can use the :class:`~django.db.models.Prefetch` object to further control
|
||||||
|
the prefetch operation.
|
||||||
|
|
||||||
|
In its simplest form ``Prefetch`` is equivalent to the traditional string based
|
||||||
|
lookups:
|
||||||
|
|
||||||
|
>>> Restaurant.objects.prefetch_related(Prefetch('pizzas__toppings'))
|
||||||
|
|
||||||
|
You can provide a custom queryset with the optional ``queryset`` argument.
|
||||||
|
This can be used to change the default ordering of the queryset:
|
||||||
|
|
||||||
|
>>> Restaurant.objects.prefetch_related(
|
||||||
|
... Prefetch('pizzas__toppings', queryset=Toppings.objects.order_by('name')))
|
||||||
|
|
||||||
|
Or to call :meth:`~django.db.models.query.QuerySet.select_related()` when
|
||||||
|
applicable to reduce the number of queries even further:
|
||||||
|
|
||||||
|
>>> Pizza.objects.prefetch_related(
|
||||||
|
... Prefetch('restaurants', queryset=Restaurant.objects.select_related('best_pizza')))
|
||||||
|
|
||||||
|
You can also assign the prefetched result to a custom attribute with the optional
|
||||||
|
``to_attr`` argument. The result will be stored directly in a list.
|
||||||
|
|
||||||
|
This allows prefetching the same relation multiple times with a different
|
||||||
|
``QuerySet``; for instance:
|
||||||
|
|
||||||
|
>>> vegetarian_pizzas = Pizza.objects.filter(vegetarian=True)
|
||||||
|
>>> Restaurant.objects.prefetch_related(
|
||||||
|
... Prefetch('pizzas', to_attr('menu')),
|
||||||
|
... Prefetch('pizzas', queryset=vegetarian_pizzas to_attr='vegetarian_menu'))
|
||||||
|
|
||||||
|
Lookups created with custom ``to_attr`` can still be traversed as usual by other
|
||||||
|
lookups:
|
||||||
|
|
||||||
|
>>> vegetarian_pizzas = Pizza.objects.filter(vegetarian=True)
|
||||||
|
>>> Restaurant.objects.prefetch_related(
|
||||||
|
... Prefetch('pizzas', queryset=vegetarian_pizzas to_attr='vegetarian_menu'),
|
||||||
|
... 'vegetarian_menu__toppings')
|
||||||
|
|
||||||
|
Using ``to_attr`` is recommended when filtering down the prefetch result as it is
|
||||||
|
less ambiguous than storing a filtered result in the related manager's cache:
|
||||||
|
|
||||||
|
>>> queryset = Pizza.objects.filter(vegetarian=True)
|
||||||
|
>>>
|
||||||
|
>>> # Recommended:
|
||||||
|
>>> restaurants = Restaurant.objects.prefetch_related(
|
||||||
|
... Prefetch('pizzas', to_attr='vegetarian_pizzas' queryset=queryset))
|
||||||
|
>>> vegetarian_pizzas = restaurants[0].vegetarian_pizzas
|
||||||
|
>>>
|
||||||
|
>>> # Not recommended:
|
||||||
|
>>> restaurants = Restaurant.objects.prefetch_related(
|
||||||
|
... Prefetch('pizzas', queryset=queryset))
|
||||||
|
>>> vegetarian_pizzas = restaurants[0].pizzas.all()
|
||||||
|
|
||||||
|
.. note::
|
||||||
|
|
||||||
|
The ordering of lookups matters.
|
||||||
|
|
||||||
|
Take the following examples:
|
||||||
|
|
||||||
|
>>> prefetch_related('pizzas__toppings', 'pizzas')
|
||||||
|
|
||||||
|
This works even though it's unordered because ``'pizzas__toppings'``
|
||||||
|
already contains all the needed information, therefore the second argument
|
||||||
|
``'pizzas'`` is actually redundant.
|
||||||
|
|
||||||
|
>>> prefetch_related('pizzas__toppings', Prefetch('pizzas', queryset=Pizza.objects.all()))
|
||||||
|
|
||||||
|
This will raise a ``ValueError`` because of the attempt to redefine the
|
||||||
|
queryset of a previously seen lookup. Note that an implicit queryset was
|
||||||
|
created to traverse ``'pizzas'`` as part of the ``'pizzas__toppings'``
|
||||||
|
lookup.
|
||||||
|
|
||||||
|
>>> prefetch_related('pizza_list__toppings', Prefetch('pizzas', to_attr='pizza_list'))
|
||||||
|
|
||||||
|
This will trigger an ``AttributeError`` because ``'pizza_list'`` doesn't exist yet
|
||||||
|
when ``'pizza_list__toppings'`` is being processed.
|
||||||
|
|
||||||
|
This consideration is not limited to the use of ``Prefetch`` objects. Some
|
||||||
|
advanced techniques may require that the lookups be performed in a
|
||||||
|
specific order to avoid creating extra queries; therefore it's recommended
|
||||||
|
to always carefully order ``prefetch_related`` arguments.
|
||||||
|
|
||||||
extra
|
extra
|
||||||
~~~~~
|
~~~~~
|
||||||
|
|
||||||
|
|
|
@ -98,6 +98,21 @@ Using a custom manager when traversing reverse relations
|
||||||
It is now possible to :ref:`specify a custom manager
|
It is now possible to :ref:`specify a custom manager
|
||||||
<using-custom-reverse-manager>` when traversing a reverse relationship.
|
<using-custom-reverse-manager>` when traversing a reverse relationship.
|
||||||
|
|
||||||
|
New ``Prefetch`` object for advanced ``prefetch_related`` operations.
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
The new :class:`~django.db.models.Prefetch` object allows customizing
|
||||||
|
prefetch operations.
|
||||||
|
|
||||||
|
You can specify the ``QuerySet`` used to traverse a given relation
|
||||||
|
or customize the storage location of prefetch results.
|
||||||
|
|
||||||
|
This enables things like filtering prefetched relations, calling
|
||||||
|
:meth:`~django.db.models.query.QuerySet.select_related()` from a prefetched
|
||||||
|
relation, or prefetching the same relation multiple times with different
|
||||||
|
querysets. See :meth:`~django.db.models.query.QuerySet.prefetch_related()`
|
||||||
|
for more details.
|
||||||
|
|
||||||
Admin shortcuts support time zones
|
Admin shortcuts support time zones
|
||||||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
|
|
@ -137,6 +137,9 @@ class TaggedItem(models.Model):
|
||||||
def __str__(self):
|
def __str__(self):
|
||||||
return self.tag
|
return self.tag
|
||||||
|
|
||||||
|
class Meta:
|
||||||
|
ordering = ['id']
|
||||||
|
|
||||||
|
|
||||||
class Bookmark(models.Model):
|
class Bookmark(models.Model):
|
||||||
url = models.URLField()
|
url = models.URLField()
|
||||||
|
@ -146,6 +149,9 @@ class Bookmark(models.Model):
|
||||||
object_id_field='favorite_fkey',
|
object_id_field='favorite_fkey',
|
||||||
related_name='favorite_bookmarks')
|
related_name='favorite_bookmarks')
|
||||||
|
|
||||||
|
class Meta:
|
||||||
|
ordering = ['id']
|
||||||
|
|
||||||
|
|
||||||
class Comment(models.Model):
|
class Comment(models.Model):
|
||||||
comment = models.TextField()
|
comment = models.TextField()
|
||||||
|
@ -155,12 +161,16 @@ class Comment(models.Model):
|
||||||
object_pk = models.TextField()
|
object_pk = models.TextField()
|
||||||
content_object = generic.GenericForeignKey(ct_field="content_type", fk_field="object_pk")
|
content_object = generic.GenericForeignKey(ct_field="content_type", fk_field="object_pk")
|
||||||
|
|
||||||
|
class Meta:
|
||||||
|
ordering = ['id']
|
||||||
|
|
||||||
|
|
||||||
## Models for lookup ordering tests
|
## Models for lookup ordering tests
|
||||||
|
|
||||||
|
|
||||||
class House(models.Model):
|
class House(models.Model):
|
||||||
address = models.CharField(max_length=255)
|
address = models.CharField(max_length=255)
|
||||||
|
owner = models.ForeignKey('Person', null=True)
|
||||||
|
|
||||||
class Meta:
|
class Meta:
|
||||||
ordering = ['id']
|
ordering = ['id']
|
||||||
|
|
|
@ -2,6 +2,7 @@ from __future__ import unicode_literals
|
||||||
|
|
||||||
from django.contrib.contenttypes.models import ContentType
|
from django.contrib.contenttypes.models import ContentType
|
||||||
from django.db import connection
|
from django.db import connection
|
||||||
|
from django.db.models import Prefetch
|
||||||
from django.test import TestCase
|
from django.test import TestCase
|
||||||
from django.test.utils import override_settings
|
from django.test.utils import override_settings
|
||||||
from django.utils import six
|
from django.utils import six
|
||||||
|
@ -13,9 +14,7 @@ from .models import (Author, Book, Reader, Qualification, Teacher, Department,
|
||||||
|
|
||||||
|
|
||||||
class PrefetchRelatedTests(TestCase):
|
class PrefetchRelatedTests(TestCase):
|
||||||
|
|
||||||
def setUp(self):
|
def setUp(self):
|
||||||
|
|
||||||
self.book1 = Book.objects.create(title="Poems")
|
self.book1 = Book.objects.create(title="Poems")
|
||||||
self.book2 = Book.objects.create(title="Jane Eyre")
|
self.book2 = Book.objects.create(title="Jane Eyre")
|
||||||
self.book3 = Book.objects.create(title="Wuthering Heights")
|
self.book3 = Book.objects.create(title="Wuthering Heights")
|
||||||
|
@ -207,6 +206,292 @@ class PrefetchRelatedTests(TestCase):
|
||||||
self.assertTrue("name" in str(cm.exception))
|
self.assertTrue("name" in str(cm.exception))
|
||||||
|
|
||||||
|
|
||||||
|
class CustomPrefetchTests(TestCase):
|
||||||
|
@classmethod
|
||||||
|
def traverse_qs(cls, obj_iter, path):
|
||||||
|
"""
|
||||||
|
Helper method that returns a list containing a list of the objects in the
|
||||||
|
obj_iter. Then for each object in the obj_iter, the path will be
|
||||||
|
recursively travelled and the found objects are added to the return value.
|
||||||
|
"""
|
||||||
|
ret_val = []
|
||||||
|
|
||||||
|
if hasattr(obj_iter, 'all'):
|
||||||
|
obj_iter = obj_iter.all()
|
||||||
|
|
||||||
|
try:
|
||||||
|
iter(obj_iter)
|
||||||
|
except TypeError:
|
||||||
|
obj_iter = [obj_iter]
|
||||||
|
|
||||||
|
for obj in obj_iter:
|
||||||
|
rel_objs = []
|
||||||
|
for part in path:
|
||||||
|
if not part:
|
||||||
|
continue
|
||||||
|
rel_objs.extend(cls.traverse_qs(getattr(obj, part[0]), [part[1:]]))
|
||||||
|
ret_val.append((obj, rel_objs))
|
||||||
|
return ret_val
|
||||||
|
|
||||||
|
def setUp(self):
|
||||||
|
self.person1 = Person.objects.create(name="Joe")
|
||||||
|
self.person2 = Person.objects.create(name="Mary")
|
||||||
|
self.house1 = House.objects.create(address="123 Main St", owner=self.person1)
|
||||||
|
self.house2 = House.objects.create(address="45 Side St", owner=self.person1)
|
||||||
|
self.house3 = House.objects.create(address="6 Downing St", owner=self.person2)
|
||||||
|
self.house4 = House.objects.create(address="7 Regents St", owner=self.person2)
|
||||||
|
self.room1_1 = Room.objects.create(name="Dining room", house=self.house1)
|
||||||
|
self.room1_2 = Room.objects.create(name="Lounge", house=self.house1)
|
||||||
|
self.room1_3 = Room.objects.create(name="Kitchen", house=self.house1)
|
||||||
|
self.room2_1 = Room.objects.create(name="Dining room", house=self.house2)
|
||||||
|
self.room2_2 = Room.objects.create(name="Lounge", house=self.house2)
|
||||||
|
self.room2_3 = Room.objects.create(name="Kitchen", house=self.house2)
|
||||||
|
self.room3_1 = Room.objects.create(name="Dining room", house=self.house3)
|
||||||
|
self.room3_2 = Room.objects.create(name="Lounge", house=self.house3)
|
||||||
|
self.room3_3 = Room.objects.create(name="Kitchen", house=self.house3)
|
||||||
|
self.room4_1 = Room.objects.create(name="Dining room", house=self.house4)
|
||||||
|
self.room4_2 = Room.objects.create(name="Lounge", house=self.house4)
|
||||||
|
self.room4_3 = Room.objects.create(name="Kitchen", house=self.house4)
|
||||||
|
self.person1.houses.add(self.house1, self.house2)
|
||||||
|
self.person2.houses.add(self.house3, self.house4)
|
||||||
|
|
||||||
|
def test_traverse_qs(self):
|
||||||
|
qs = Person.objects.prefetch_related('houses')
|
||||||
|
related_objs_normal = [list(p.houses.all()) for p in qs],
|
||||||
|
related_objs_from_traverse = [[inner[0] for inner in o[1]]
|
||||||
|
for o in self.traverse_qs(qs, [['houses']])]
|
||||||
|
self.assertEqual(related_objs_normal, (related_objs_from_traverse,))
|
||||||
|
|
||||||
|
def test_ambiguous(self):
|
||||||
|
# Ambiguous.
|
||||||
|
with self.assertRaises(ValueError):
|
||||||
|
self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses__rooms', Prefetch('houses', queryset=House.objects.all())),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
with self.assertRaises(AttributeError):
|
||||||
|
self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses_list__rooms', Prefetch('houses', queryset=House.objects.all(), to_attr='houses_lst')),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Not ambiguous.
|
||||||
|
self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses__rooms', 'houses'),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses__rooms', Prefetch('houses', queryset=House.objects.all(), to_attr='houses_lst')),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
def test_m2m(self):
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses'),
|
||||||
|
[['houses']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(Prefetch('houses')),
|
||||||
|
[['houses']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(Prefetch('houses', to_attr='houses_lst')),
|
||||||
|
[['houses_lst']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_reverse_m2m(self):
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
House.objects.prefetch_related('occupants'),
|
||||||
|
[['occupants']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
House.objects.prefetch_related(Prefetch('occupants')),
|
||||||
|
[['occupants']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
House.objects.prefetch_related(Prefetch('occupants', to_attr='occupants_lst')),
|
||||||
|
[['occupants_lst']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_m2m_through_fk(self):
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
Room.objects.prefetch_related('house__occupants'),
|
||||||
|
[['house', 'occupants']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Room.objects.prefetch_related(Prefetch('house__occupants')),
|
||||||
|
[['house', 'occupants']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Room.objects.prefetch_related(Prefetch('house__occupants', to_attr='occupants_lst')),
|
||||||
|
[['house', 'occupants_lst']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_m2m_through_gfk(self):
|
||||||
|
TaggedItem.objects.create(tag="houses", content_object=self.house1)
|
||||||
|
TaggedItem.objects.create(tag="houses", content_object=self.house2)
|
||||||
|
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
TaggedItem.objects.filter(tag='houses').prefetch_related('content_object__rooms'),
|
||||||
|
[['content_object', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
TaggedItem.objects.prefetch_related(
|
||||||
|
Prefetch('content_object'),
|
||||||
|
Prefetch('content_object__rooms', to_attr='rooms_lst')
|
||||||
|
),
|
||||||
|
[['content_object', 'rooms_lst']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_o2m_through_m2m(self):
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related('houses', 'houses__rooms'),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(Prefetch('houses'), 'houses__rooms'),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(Prefetch('houses'), Prefetch('houses__rooms')),
|
||||||
|
[['houses', 'rooms']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(Prefetch('houses', to_attr='houses_lst'), 'houses_lst__rooms'),
|
||||||
|
[['houses_lst', 'rooms']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses', to_attr='houses_lst'),
|
||||||
|
Prefetch('houses_lst__rooms', to_attr='rooms_lst')
|
||||||
|
),
|
||||||
|
[['houses_lst', 'rooms_lst']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_generic_rel(self):
|
||||||
|
bookmark = Bookmark.objects.create(url='http://www.djangoproject.com/')
|
||||||
|
TaggedItem.objects.create(content_object=bookmark, tag='django')
|
||||||
|
TaggedItem.objects.create(content_object=bookmark, favorite=bookmark, tag='python')
|
||||||
|
|
||||||
|
# Control lookups.
|
||||||
|
with self.assertNumQueries(4):
|
||||||
|
lst1 = self.traverse_qs(
|
||||||
|
Bookmark.objects.prefetch_related('tags', 'tags__content_object', 'favorite_tags'),
|
||||||
|
[['tags', 'content_object'], ['favorite_tags']]
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test lookups.
|
||||||
|
with self.assertNumQueries(4):
|
||||||
|
lst2 = self.traverse_qs(
|
||||||
|
Bookmark.objects.prefetch_related(
|
||||||
|
Prefetch('tags', to_attr='tags_lst'),
|
||||||
|
Prefetch('tags_lst__content_object'),
|
||||||
|
Prefetch('favorite_tags'),
|
||||||
|
),
|
||||||
|
[['tags_lst', 'content_object'], ['favorite_tags']]
|
||||||
|
)
|
||||||
|
self.assertEqual(lst1, lst2)
|
||||||
|
|
||||||
|
def test_custom_qs(self):
|
||||||
|
# Test basic.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst1 = list(Person.objects.prefetch_related('houses'))
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = list(Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses', queryset=House.objects.all(), to_attr='houses_lst')))
|
||||||
|
self.assertEqual(
|
||||||
|
self.traverse_qs(lst1, [['houses']]),
|
||||||
|
self.traverse_qs(lst2, [['houses_lst']])
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test queryset filtering.
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = list(Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses', queryset=House.objects.filter(pk__in=[self.house1.pk, self.house3.pk]), to_attr='houses_lst')))
|
||||||
|
self.assertEqual(len(lst2[0].houses_lst), 1)
|
||||||
|
self.assertEqual(lst2[0].houses_lst[0], self.house1)
|
||||||
|
self.assertEqual(len(lst2[1].houses_lst), 1)
|
||||||
|
self.assertEqual(lst2[1].houses_lst[0], self.house3)
|
||||||
|
|
||||||
|
# Test flattened.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst1 = list(Person.objects.prefetch_related('houses__rooms'))
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = list(Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses__rooms', queryset=Room.objects.all(), to_attr='rooms_lst')))
|
||||||
|
self.assertEqual(
|
||||||
|
self.traverse_qs(lst1, [['houses', 'rooms']]),
|
||||||
|
self.traverse_qs(lst2, [['houses', 'rooms_lst']])
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test inner select_related.
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst1 = list(Person.objects.prefetch_related('houses__owner'))
|
||||||
|
with self.assertNumQueries(2):
|
||||||
|
lst2 = list(Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses', queryset=House.objects.select_related('owner'))))
|
||||||
|
self.assertEqual(
|
||||||
|
self.traverse_qs(lst1, [['houses', 'owner']]),
|
||||||
|
self.traverse_qs(lst2, [['houses', 'owner']])
|
||||||
|
)
|
||||||
|
|
||||||
|
# Test inner prefetch.
|
||||||
|
inner_rooms_qs = Room.objects.filter(pk__in=[self.room1_1.pk, self.room1_2.pk])
|
||||||
|
houses_qs_prf = House.objects.prefetch_related(
|
||||||
|
Prefetch('rooms', queryset=inner_rooms_qs, to_attr='rooms_lst'))
|
||||||
|
with self.assertNumQueries(3):
|
||||||
|
lst2 = list(Person.objects.prefetch_related(
|
||||||
|
Prefetch('houses', queryset=houses_qs_prf.filter(pk=self.house1.pk), to_attr='houses_lst')))
|
||||||
|
|
||||||
|
self.assertEqual(len(lst2[0].houses_lst[0].rooms_lst), 2)
|
||||||
|
self.assertEqual(lst2[0].houses_lst[0].rooms_lst[0], self.room1_1)
|
||||||
|
self.assertEqual(lst2[0].houses_lst[0].rooms_lst[1], self.room1_2)
|
||||||
|
self.assertEqual(len(lst2[1].houses_lst), 0)
|
||||||
|
|
||||||
class DefaultManagerTests(TestCase):
|
class DefaultManagerTests(TestCase):
|
||||||
|
|
||||||
def setUp(self):
|
def setUp(self):
|
||||||
|
@ -627,6 +912,45 @@ class MultiDbTests(TestCase):
|
||||||
|
|
||||||
self.assertEqual(ages, "50, 49")
|
self.assertEqual(ages, "50, 49")
|
||||||
|
|
||||||
|
def test_using_is_honored_custom_qs(self):
|
||||||
|
B = Book.objects.using('other')
|
||||||
|
A = Author.objects.using('other')
|
||||||
|
book1 = B.create(title="Poems")
|
||||||
|
book2 = B.create(title="Sense and Sensibility")
|
||||||
|
|
||||||
|
A.create(name="Charlotte Bronte", first_book=book1)
|
||||||
|
A.create(name="Jane Austen", first_book=book2)
|
||||||
|
|
||||||
|
# Implicit hinting
|
||||||
|
with self.assertNumQueries(2, using='other'):
|
||||||
|
prefetch = Prefetch('first_time_authors', queryset=Author.objects.all())
|
||||||
|
books = "".join("%s (%s)\n" %
|
||||||
|
(b.title, ", ".join(a.name for a in b.first_time_authors.all()))
|
||||||
|
for b in B.prefetch_related(prefetch))
|
||||||
|
self.assertEqual(books,
|
||||||
|
"Poems (Charlotte Bronte)\n"
|
||||||
|
"Sense and Sensibility (Jane Austen)\n")
|
||||||
|
|
||||||
|
# Explicit using on the same db.
|
||||||
|
with self.assertNumQueries(2, using='other'):
|
||||||
|
prefetch = Prefetch('first_time_authors', queryset=Author.objects.using('other'))
|
||||||
|
books = "".join("%s (%s)\n" %
|
||||||
|
(b.title, ", ".join(a.name for a in b.first_time_authors.all()))
|
||||||
|
for b in B.prefetch_related(prefetch))
|
||||||
|
self.assertEqual(books,
|
||||||
|
"Poems (Charlotte Bronte)\n"
|
||||||
|
"Sense and Sensibility (Jane Austen)\n")
|
||||||
|
|
||||||
|
# Explicit using on a different db.
|
||||||
|
with self.assertNumQueries(1, using='default'), self.assertNumQueries(1, using='other'):
|
||||||
|
prefetch = Prefetch('first_time_authors', queryset=Author.objects.using('default'))
|
||||||
|
books = "".join("%s (%s)\n" %
|
||||||
|
(b.title, ", ".join(a.name for a in b.first_time_authors.all()))
|
||||||
|
for b in B.prefetch_related(prefetch))
|
||||||
|
self.assertEqual(books,
|
||||||
|
"Poems ()\n"
|
||||||
|
"Sense and Sensibility ()\n")
|
||||||
|
|
||||||
|
|
||||||
class Ticket19607Tests(TestCase):
|
class Ticket19607Tests(TestCase):
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue