A Manager
is the interface through which database query operations are
provided to Django models. At least one Manager
exists for every model in
a Django application.
The way Manager
classes work is documented in 进行查询;
this document specifically touches on model options that customize Manager
behavior.
By default, Django adds a Manager
with the name objects
to every Django
model class. However, if you want to use objects
as a field name, or if you
want to use a name other than objects
for the Manager
, you can rename
it on a per-model basis. To rename the Manager
for a given class, define a
class attribute of type models.Manager()
on that model. For example:
from django.db import models
class Person(models.Model):
#...
people = models.Manager()
Using this example model, Person.objects
will generate an
AttributeError
exception, but Person.people.all()
will provide a list
of all Person
objects.
You can use a custom Manager
in a particular model by extending the base
Manager
class and instantiating your custom Manager
in your model.
There are two reasons you might want to customize a Manager
: to add extra
Manager
methods, and/or to modify the initial QuerySet
the Manager
returns.
Adding extra Manager
methods is the preferred way to add "table-level"
functionality to your models. (For "row-level" functionality -- i.e., functions
that act on a single instance of a model object -- use Model methods, not custom Manager
methods.)
A custom Manager
method can return anything you want. It doesn't have to
return a QuerySet
.
For example, this custom Manager
offers a method with_counts()
, which
returns a list of all OpinionPoll
objects, each with an extra
num_responses
attribute that is the result of an aggregate query:
from django.db import models
class PollManager(models.Manager):
def with_counts(self):
from django.db import connection
with connection.cursor() as cursor:
cursor.execute("""
SELECT p.id, p.question, p.poll_date, COUNT(*)
FROM polls_opinionpoll p, polls_response r
WHERE p.id = r.poll_id
GROUP BY p.id, p.question, p.poll_date
ORDER BY p.poll_date DESC""")
result_list = []
for row in cursor.fetchall():
p = self.model(id=row[0], question=row[1], poll_date=row[2])
p.num_responses = row[3]
result_list.append(p)
return result_list
class OpinionPoll(models.Model):
question = models.CharField(max_length=200)
poll_date = models.DateField()
objects = PollManager()
class Response(models.Model):
poll = models.ForeignKey(OpinionPoll, on_delete=models.CASCADE)
person_name = models.CharField(max_length=50)
response = models.TextField()
With this example, you'd use OpinionPoll.objects.with_counts()
to return
that list of OpinionPoll
objects with num_responses
attributes.
Another thing to note about this example is that Manager
methods can
access self.model
to get the model class to which they're attached.
QuerySet
¶A Manager
’s base QuerySet
returns all objects in the system. For
example, using this model:
from django.db import models
class Book(models.Model):
title = models.CharField(max_length=100)
author = models.CharField(max_length=50)
...the statement Book.objects.all()
will return all books in the database.
You can override a Manager
’s base QuerySet
by overriding the
Manager.get_queryset()
method. get_queryset()
should return a
QuerySet
with the properties you require.
For example, the following model has two Manager
s -- one that returns
all objects, and one that returns only the books by Roald Dahl:
# First, define the Manager subclass.
class DahlBookManager(models.Manager):
def get_queryset(self):
return super().get_queryset().filter(author='Roald Dahl')
# Then hook it into the Book model explicitly.
class Book(models.Model):
title = models.CharField(max_length=100)
author = models.CharField(max_length=50)
objects = models.Manager() # The default manager.
dahl_objects = DahlBookManager() # The Dahl-specific manager.
With this sample model, Book.objects.all()
will return all books in the
database, but Book.dahl_objects.all()
will only return the ones written by
Roald Dahl.
Of course, because get_queryset()
returns a QuerySet
object, you can
use filter()
, exclude()
and all the other QuerySet
methods on it.
So these statements are all legal:
Book.dahl_objects.all()
Book.dahl_objects.filter(title='Matilda')
Book.dahl_objects.count()
This example also pointed out another interesting technique: using multiple
managers on the same model. You can attach as many Manager()
instances to
a model as you'd like. This is an easy way to define common "filters" for your
models.
例如:
class AuthorManager(models.Manager):
def get_queryset(self):
return super().get_queryset().filter(role='A')
class EditorManager(models.Manager):
def get_queryset(self):
return super().get_queryset().filter(role='E')
class Person(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_length=50)
role = models.CharField(max_length=1, choices=(('A', _('Author')), ('E', _('Editor'))))
people = models.Manager()
authors = AuthorManager()
editors = EditorManager()
This example allows you to request Person.authors.all()
, Person.editors.all()
,
and Person.people.all()
, yielding predictable results.
Model.
_default_manager
¶If you use custom Manager
objects, take note that the first Manager
Django encounters (in the order in which they're defined in the model) has a
special status. Django interprets the first Manager
defined in a class as
the "default" Manager
, and several parts of Django (including
dumpdata
) will use that Manager
exclusively for that model. As a
result, it's a good idea to be careful in your choice of default manager in
order to avoid a situation where overriding get_queryset()
results in an
inability to retrieve objects you'd like to work with.
You can specify a custom default manager using Meta.default_manager_name
.
If you're writing some code that must handle an unknown model, for example, in
a third-party app that implements a generic view, use this manager (or
_base_manager
) rather than assuming the model has an objects
manager.
Model.
_base_manager
¶This manager is used to access objects that are related to from some other model. In those situations, Django has to be able to see all the objects for the model it is fetching, so that anything which is referred to can be retrieved.
If you override the get_queryset()
method and filter out any rows, Django
will return incorrect results. Don't do that. A manager that filters results
in get_queryset()
is not appropriate for use as a base manager.
QuerySet
methods from the manager¶While most methods from the standard QuerySet
are accessible directly from
the Manager
, this is only the case for the extra methods defined on a
custom QuerySet
if you also implement them on the Manager
:
class PersonQuerySet(models.QuerySet):
def authors(self):
return self.filter(role='A')
def editors(self):
return self.filter(role='E')
class PersonManager(models.Manager):
def get_queryset(self):
return PersonQuerySet(self.model, using=self._db)
def authors(self):
return self.get_queryset().authors()
def editors(self):
return self.get_queryset().editors()
class Person(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_length=50)
role = models.CharField(max_length=1, choices=(('A', _('Author')), ('E', _('Editor'))))
people = PersonManager()
This example allows you to call both authors()
and editors()
directly from
the manager Person.people
.
QuerySet
methods¶In lieu of the above approach which requires duplicating methods on both the
QuerySet
and the Manager
, QuerySet.as_manager()
can be used to create an instance
of Manager
with a copy of a custom QuerySet
’s methods:
class Person(models.Model):
...
people = PersonQuerySet.as_manager()
The Manager
instance created by QuerySet.as_manager()
will be virtually
identical to the PersonManager
from the previous example.
Not every QuerySet
method makes sense at the Manager
level; for
instance we intentionally prevent the QuerySet.delete()
method from being copied onto
the Manager
class.
Methods are copied according to the following rules:
queryset_only
attribute set to False
are always copied.queryset_only
attribute set to True
are never copied.例如:
class CustomQuerySet(models.QuerySet):
# Available on both Manager and QuerySet.
def public_method(self):
return
# Available only on QuerySet.
def _private_method(self):
return
# Available only on QuerySet.
def opted_out_public_method(self):
return
opted_out_public_method.queryset_only = True
# Available on both Manager and QuerySet.
def _opted_in_private_method(self):
return
_opted_in_private_method.queryset_only = False
from_queryset()
¶from_queryset
(queryset_class)¶For advanced usage you might want both a custom Manager
and a custom
QuerySet
. You can do that by calling Manager.from_queryset()
which
returns a subclass of your base Manager
with a copy of the custom
QuerySet
methods:
class BaseManager(models.Manager):
def manager_only_method(self):
return
class CustomQuerySet(models.QuerySet):
def manager_and_queryset_method(self):
return
class MyModel(models.Model):
objects = BaseManager.from_queryset(CustomQuerySet)()
还可以将生成的类存储到变量中:
CustomManager = BaseManager.from_queryset(CustomQuerySet)
class MyModel(models.Model):
objects = CustomManager()
下面是Django如何处理自定义管理器和 model inheritance:
如果您想通过抽象基类在一组模型上安装自定义管理器集合,但仍然自定义默认管理器,则这些规则提供了必要的灵活性。
class AbstractBase(models.Model):
# ...
objects = CustomManager()
class Meta:
abstract = True
如果您在子类中直接使用这一点,如果您在基类中没有声明任何管理器,那么 objects
将是默认的管理器:
class ChildA(AbstractBase):
# ...
# This class has CustomManager as the default manager.
pass
如果您想从``AbstractBase``继承,但提供不同的默认管理器,则可以在子类上提供默认管理器:
class ChildB(AbstractBase):
# ...
# An explicit default manager.
default_manager = OtherManager()
在这里,default_manager``是默认的。 ``objects
管理器仍然可用,因为它是继承的。它只是没有被用作默认值。
最后,对于这个示例,假设您想要向子类中添加额外的管理器,但是仍然使用来自``AbstractBase``的默认管理器。您不能直接在子类中添加新的管理器,因为这将覆盖默认值,并且您还必须显式地包含来自抽象基类的所有管理器。解决方案是将额外的管理器放到另一个基类中,并在默认值*之后*将其引入继承层次结构:
class ExtraManager(models.Model):
extra_manager = OtherManager()
class Meta:
abstract = True
class ChildC(AbstractBase, ExtraManager):
# ...
# Default manager is CustomManager, but OtherManager is
# also available via the "extra_manager" attribute.
pass
请注意,虽然可以在抽象模型上定义*自定义管理器,但不能使用抽象模型*调用*任何方法。即:
ClassA.objects.do_something()
是合法的,但:
AbstractBase.objects.do_something()
这将引起一个例外。这是因为管理人员打算封装管理对象集合的逻辑。因为您不能拥有抽象对象的集合,所以管理抽象对象是没有意义的。如果您有适用于抽象模型的功能,则应该将该功能放在抽象模型上的 静态方法
或``类方法`` 中。
无论您在自定义的 Manager
中添加了什么特性,都必须能够对 Manager
实例进行简单的复制;也就是说,以下代码必须有效:
>>> import copy
>>> manager = MyManager()
>>> my_copy = copy.copy(manager)
Django在某些查询期间对管理器对象进行浅拷贝;如果您的管理器无法被复制,那么这些查询将失败。
This won't be an issue for most custom managers. If you are just
adding simple methods to your Manager
, it is unlikely that you
will inadvertently make instances of your Manager
uncopyable.
However, if you're overriding __getattr__
or some other private
method of your Manager
object that controls object state, you
should ensure that you don't affect the ability of your Manager
to
be copied.
1月 11, 2019