A model is the single, definitive source of information about your data. It contains the essential fields and behaviors of the data you’re storing. Generally, each model maps to a single database table.
This example model defines a
Person, which has a
from django.db import models class Person(models.Model): first_name = models.CharField(max_length=30) last_name = models.CharField(max_length=30)
last_name are fields of the model. Each field is specified as a class attribute, and each attribute maps to a database column.
Person model would create a database table like this:
CREATE TABLE myapp_person ( "id" serial NOT NULL PRIMARY KEY, "first_name" varchar(30) NOT NULL, "last_name" varchar(30) NOT NULL );
Some technical notes:
myapp_person, is automatically derived from some model metadata but can be overridden. See Table names for more details.
idfield is added automatically, but this behavior can be overridden. See Automatic primary key fields.
CREATE TABLESQL in this example is formatted using PostgreSQL syntax, but it’s worth noting Django uses SQL tailored to the database backend specified in your settings file.
Once you have defined your models, you need to tell Django you’re going to use those models. Do this by editing your settings file and changing the
INSTALLED_APPS setting to add the name of the module that contains your
For example, if the models for your application live in the module
myapp.models (the package structure that is created for an application by the
manage.py startapp script),
INSTALLED_APPS should read, in part:
INSTALLED_APPS = [ #... 'myapp', #... ]
The most important part of a model – and the only required part of a model – is the list of database fields it defines. Fields are specified by class attributes. Be careful not to choose field names that conflict with the models API like
from django.db import models class Musician(models.Model): first_name = models.CharField(max_length=50) last_name = models.CharField(max_length=50) instrument = models.CharField(max_length=100) class Album(models.Model): artist = models.ForeignKey(Musician, on_delete=models.CASCADE) name = models.CharField(max_length=100) release_date = models.DateField() num_stars = models.IntegerField()
Each field in your model should be an instance of the appropriate
Field class. Django uses the field class types to determine a few things:
Django ships with dozens of built-in field types; you can find the complete list in the model field reference. You can easily write your own fields if Django’s built-in ones don’t do the trick; see Writing custom model fields.
Each field takes a certain set of field-specific arguments (documented in the model field reference). For example,
CharField (and its subclasses) require a
max_length argument which specifies the size of the
VARCHAR database field used to store the data.
There’s also a set of common arguments available to all field types. All are optional. They’re fully explained in the reference, but here’s a quick summary of the most often-used ones:
True, Django will store empty values as
NULLin the database. Default is
True, the field is allowed to be blank. Default is
Note that this is different than
null is purely database-related, whereas
blank is validation-related. If a field has
blank=True, form validation will allow entry of an empty value. If a field has
blank=False, the field will be required.
An iterable (e.g., a list or tuple) of 2-tuples to use as choices for this field. If this is given, the default form widget will be a select box instead of the standard text field and will limit choices to the choices given.
A choices list looks like this:
YEAR_IN_SCHOOL_CHOICES = ( ('FR', 'Freshman'), ('SO', 'Sophomore'), ('JR', 'Junior'), ('SR', 'Senior'), ('GR', 'Graduate'), )
The first element in each tuple is the value that will be stored in the database. The second element is displayed by the field’s form widget.
Given a model instance, the display value for a field with
choices can be accessed using the
get_FOO_display() method. For example:
from django.db import models class Person(models.Model): SHIRT_SIZES = ( ('S', 'Small'), ('M', 'Medium'), ('L', 'Large'), ) name = models.CharField(max_length=60) shirt_size = models.CharField(max_length=1, choices=SHIRT_SIZES)
>>> p = Person(name="Fred Flintstone", shirt_size="L") >>> p.save() >>> p.shirt_size 'L' >>> p.get_shirt_size_display() 'Large'
True, this field is the primary key for the model.
If you don’t specify
primary_key=True for any fields in your model, Django will automatically add an
IntegerField to hold the primary key, so you don’t need to set
primary_key=True on any of your fields unless you want to override the default primary-key behavior. For more, see Automatic primary key fields.
The primary key field is read-only. If you change the value of the primary key on an existing object and then save it, a new object will be created alongside the old one. For example:
from django.db import models class Fruit(models.Model): name = models.CharField(max_length=100, primary_key=True)
>>> fruit = Fruit.objects.create(name='Apple') >>> fruit.name = 'Pear' >>> fruit.save() >>> Fruit.objects.values_list('name', flat=True) <QuerySet ['Apple', 'Pear']>
True, this field must be unique throughout the table.
Again, these are just short descriptions of the most common field options. Full details can be found in the common model field option reference.
By default, Django gives each model the following field:
id = models.AutoField(primary_key=True)
This is an auto-incrementing primary key.
Each model requires exactly one field to have
primary_key=True (either explicitly declared or automatically added).
Each field type, except for
OneToOneField, takes an optional first positional argument – a verbose name. If the verbose name isn’t given, Django will automatically create it using the field’s attribute name, converting underscores to spaces.
In this example, the verbose name is
"person's first name":
first_name = models.CharField("person's first name", max_length=30)
In this example, the verbose name is
first_name = models.CharField(max_length=30)
poll = models.ForeignKey( Poll, on_delete=models.CASCADE, verbose_name="the related poll", ) sites = models.ManyToManyField(Site, verbose_name="list of sites") place = models.OneToOneField( Place, on_delete=models.CASCADE, verbose_name="related place", )
The convention is not to capitalize the first letter of the
verbose_name. Django will automatically capitalize the first letter where it needs to.
Clearly, the power of relational databases lies in relating tables to each other. Django offers ways to define the three most common types of database relationships: many-to-one, many-to-many and one-to-one.
ForeignKey requires a positional argument: the class to which the model is related.
For example, if a
Car model has a
Manufacturer – that is, a
Manufacturer makes multiple cars but each
Car only has one
Manufacturer – use the following definitions:
from django.db import models class Manufacturer(models.Model): # ... pass class Car(models.Model): manufacturer = models.ForeignKey(Manufacturer, on_delete=models.CASCADE) # ...
It’s suggested, but not required, that the name of a
ForeignKey field (
manufacturer in the example above) be the name of the model, lowercase. You can, of course, call the field whatever you want. For example:
class Car(models.Model): company_that_makes_it = models.ForeignKey( Manufacturer, on_delete=models.CASCADE, ) # ...
For details on accessing backwards-related objects, see the Following relationships backward example.
For sample code, see the Many-to-one relationship model example.
ManyToManyField requires a positional argument: the class to which the model is related.
For example, if a
Pizza has multiple
Topping objects – that is, a
Topping can be on multiple pizzas and each
Pizza has multiple toppings – here’s how you’d represent that:
from django.db import models class Topping(models.Model): # ... pass class Pizza(models.Model): # ... toppings = models.ManyToManyField(Topping)
It’s suggested, but not required, that the name of a
toppings in the example above) be a plural describing the set of related model objects.
It doesn’t matter which model has the
ManyToManyField, but you should only put it in one of the models – not both.
ManyToManyField instances should go in the object that’s going to be edited on a form. In the above example,
toppings is in
Pizza (rather than
Topping having a
ManyToManyField ) because it’s more natural to think about a pizza having toppings than a topping being on multiple pizzas. The way it’s set up above, the
Pizza form would let users select the toppings.
See the Many-to-many relationship model example for a full example.
When you’re only dealing with simple many-to-many relationships such as mixing and matching pizzas and toppings, a standard
ManyToManyField is all you need. However, sometimes you may need to associate data with the relationship between two models.
For example, consider the case of an application tracking the musical groups which musicians belong to. There is a many-to-many relationship between a person and the groups of which they are a member, so you could use a
ManyToManyField to represent this relationship. However, there is a lot of detail about the membership that you might want to collect, such as the date at which the person joined the group.
For these situations, Django allows you to specify the model that will be used to govern the many-to-many relationship. You can then put extra fields on the intermediate model. The intermediate model is associated with the
ManyToManyField using the
through argument to point to the model that will act as an intermediary. For our musician example, the code would look something like this:
from django.db import models class Person(models.Model): name = models.CharField(max_length=128) def __str__(self): return self.name class Group(models.Model): name = models.CharField(max_length=128) members = models.ManyToManyField(Person, through='Membership') def __str__(self): return self.name class Membership(models.Model): person = models.ForeignKey(Person, on_delete=models.CASCADE) group = models.ForeignKey(Group, on_delete=models.CASCADE) date_joined = models.DateField() invite_reason = models.CharField(max_length=64)
When you set up the intermediary model, you explicitly specify foreign keys to the models that are involved in the many-to-many relationship. This explicit declaration defines how the two models are related.
There are a few restrictions on the intermediate model:
Groupin our example), or you must explicitly specify the foreign keys Django should use for the relationship using
ManyToManyField.through_fields. If you have more than one foreign key and
through_fieldsis not specified, a validation error will be raised. A similar restriction applies to the foreign key to the target model (this would be
Personin our example).
through_fieldsas above, or a validation error will be raised.
symmetrical=False(see the model field reference).
Now that you have set up your
ManyToManyField to use your intermediary model (
Membership, in this case), you’re ready to start creating some many-to-many relationships. You do this by creating instances of the intermediate model:
>>> ringo = Person.objects.create(name="Ringo Starr") >>> paul = Person.objects.create(name="Paul McCartney") >>> beatles = Group.objects.create(name="The Beatles") >>> m1 = Membership(person=ringo, group=beatles, ... date_joined=date(1962, 8, 16), ... invite_reason="Needed a new drummer.") >>> m1.save() >>> beatles.members.all() <QuerySet [<Person: Ringo Starr>]> >>> ringo.group_set.all() <QuerySet [<Group: The Beatles>]> >>> m2 = Membership.objects.create(person=paul, group=beatles, ... date_joined=date(1960, 8, 1), ... invite_reason="Wanted to form a band.") >>> beatles.members.all() <QuerySet [<Person: Ringo Starr>, <Person: Paul McCartney>]>
Unlike normal many-to-many fields, you can’t use
set() to create relationships:
>>> # The following statements will not work >>> beatles.members.add(john) >>> beatles.members.create(name="George Harrison") >>> beatles.members.set([john, paul, ringo, george])
Why? You can’t just create a relationship between a
Person and a
Group - you need to specify all the detail for the relationship required by the
Membership model. The simple
create and assignment calls don’t provide a way to specify this extra detail. As a result, they are disabled for many-to-many relationships that use an intermediate model. The only way to create this type of relationship is to create instances of the intermediate model.
remove() method is disabled for similar reasons. For example, if the custom through table defined by the intermediate model does not enforce uniqueness on the
(model1, model2) pair, a
remove() call would not provide enough information as to which intermediate model instance should be deleted:
>>> Membership.objects.create(person=ringo, group=beatles, ... date_joined=date(1968, 9, 4), ... invite_reason="You've been gone for a month and we miss you.") >>> beatles.members.all() <QuerySet [<Person: Ringo Starr>, <Person: Paul McCartney>, <Person: Ringo Starr>]> >>> # This will not work because it cannot tell which membership to remove >>> beatles.members.remove(ringo)
clear() method can be used to remove all many-to-many relationships for an instance:
>>> # Beatles have broken up >>> beatles.members.clear() >>> # Note that this deletes the intermediate model instances >>> Membership.objects.all() <QuerySet >
Once you have established the many-to-many relationships by creating instances of your intermediate model, you can issue queries. Just as with normal many-to-many relationships, you can query using the attributes of the many-to-many-related model:
# Find all the groups with a member whose name starts with 'Paul' >>> Group.objects.filter(members__name__startswith='Paul') <QuerySet [<Group: The Beatles>]>
As you are using an intermediate model, you can also query on its attributes:
# Find all the members of the Beatles that joined after 1 Jan 1961 >>> Person.objects.filter( ... group__name='The Beatles', ... membership__date_joined__gt=date(1961,1,1)) <QuerySet [<Person: Ringo Starr]>
If you need to access a membership’s information you may do so by directly querying the
>>> ringos_membership = Membership.objects.get(group=beatles, person=ringo) >>> ringos_membership.date_joined datetime.date(1962, 8, 16) >>> ringos_membership.invite_reason 'Needed a new drummer.'
Another way to access the same information is by querying the many-to-many reverse relationship from a
>>> ringos_membership = ringo.membership_set.get(group=beatles) >>> ringos_membership.date_joined datetime.date(1962, 8, 16) >>> ringos_membership.invite_reason 'Needed a new drummer.'
To define a one-to-one relationship, use
OneToOneField. You use it just like any other
Field type: by including it as a class attribute of your model.
This is most useful on the primary key of an object when that object “extends” another object in some way.
OneToOneField requires a positional argument: the class to which the model is related.
For example, if you were building a database of “places”, you would build pretty standard stuff such as address, phone number, etc. in the database. Then, if you wanted to build a database of restaurants on top of the places, instead of repeating yourself and replicating those fields in the
Restaurant model, you could make
Restaurant have a
Place (because a restaurant “is a” place; in fact, to handle this you’d typically use inheritance, which involves an implicit one-to-one relation).
See the One-to-one relationship model example for a full example.
OneToOneField classes used to automatically become the primary key on a model. This is no longer true (although you can manually pass in the
primary_key argument if you like). Thus, it’s now possible to have multiple fields of type
OneToOneField on a single model.
It’s perfectly OK to relate a model to one from another app. To do this, import the related model at the top of the file where your model is defined. Then, just refer to the other model class wherever needed. For example:
from django.db import models from geography.models import ZipCode class Restaurant(models.Model): # ... zip_code = models.ForeignKey( ZipCode, on_delete=models.SET_NULL, blank=True, null=True, )
Django places only two restrictions on model field names:
A field name cannot be a Python reserved word, because that would result in a Python syntax error. For example:
class Example(models.Model): pass = models.IntegerField() # 'pass' is a reserved word!
A field name cannot contain more than one underscore in a row, due to the way Django’s query lookup syntax works. For example:
class Example(models.Model): foo__bar = models.IntegerField() # 'foo__bar' has two underscores!
These limitations can be worked around, though, because your field name doesn’t necessarily have to match your database column name. See the
SQL reserved words, such as
select, are allowed as model field names, because Django escapes all database table names and column names in every underlying SQL query. It uses the quoting syntax of your particular database engine.
If one of the existing model fields cannot be used to fit your purposes, or if you wish to take advantage of some less common database column types, you can create your own field class. Full coverage of creating your own fields is provided in Writing custom model fields.
Give your model metadata by using an inner
class Meta, like so:
from django.db import models class Ox(models.Model): horn_length = models.IntegerField() class Meta: ordering = ["horn_length"] verbose_name_plural = "oxen"
Model metadata is “anything that’s not a field”, such as ordering options (
ordering), database table name (
db_table), or human-readable singular and plural names (
verbose_name_plural). None are required, and adding
Meta to a model is completely optional.
A complete list of all possible
Meta options can be found in the model option reference.
Manager. It’s the interface through which database query operations are provided to Django models and is used to retrieve the instances from the database. If no custom
Manageris defined, the default name is
objects. Managers are only accessible via model classes, not the model instances.
Define custom methods on a model to add custom “row-level” functionality to your objects. Whereas
Manager methods are intended to do “table-wide” things, model methods should act on a particular model instance.
This is a valuable technique for keeping business logic in one place – the model.
For example, this model has a few custom methods:
from django.db import models class Person(models.Model): first_name = models.CharField(max_length=50) last_name = models.CharField(max_length=50) birth_date = models.DateField() def baby_boomer_status(self): "Returns the person's baby-boomer status." import datetime if self.birth_date < datetime.date(1945, 8, 1): return "Pre-boomer" elif self.birth_date < datetime.date(1965, 1, 1): return "Baby boomer" else: return "Post-boomer" @property def full_name(self): "Returns the person's full name." return '%s %s' % (self.first_name, self.last_name)
The last method in this example is a property.
The model instance reference has a complete list of methods automatically given to each model. You can override most of these – see overriding predefined model methods, below – but there are a couple that you’ll almost always want to define:
A Python “magic method” that returns a string representation of any object. This is what Python and Django will use whenever a model instance needs to be coerced and displayed as a plain string. Most notably, this happens when you display an object in an interactive console or in the admin.
You’ll always want to define this method; the default isn’t very helpful at all.
This tells Django how to calculate the URL for an object. Django uses this in its admin interface, and any time it needs to figure out a URL for an object.
Any object that has a URL that uniquely identifies it should define this method.
You’re free to override these methods (and any other model method) to alter behavior.
A classic use-case for overriding the built-in methods is if you want something to happen whenever you save an object. For example (see
save() for documentation of the parameters it accepts):
from django.db import models class Blog(models.Model): name = models.CharField(max_length=100) tagline = models.TextField() def save(self, *args, **kwargs): do_something() super().save(*args, **kwargs) # Call the "real" save() method. do_something_else()
You can also prevent saving:
from django.db import models class Blog(models.Model): name = models.CharField(max_length=100) tagline = models.TextField() def save(self, *args, **kwargs): if self.name == "Yoko Ono's blog": return # Yoko shall never have her own blog! else: super().save(*args, **kwargs) # Call the "real" save() method.
It’s important to remember to call the superclass method – that’s that
super().save(*args, **kwargs) business – to ensure that the object still gets saved into the database. If you forget to call the superclass method, the default behavior won’t happen and the database won’t get touched.
It’s also important that you pass through the arguments that can be passed to the model method – that’s what the
*args, **kwargs bit does. Django will, from time to time, extend the capabilities of built-in model methods, adding new arguments. If you use
**kwargs in your method definitions, you are guaranteed that your code will automatically support those arguments when they are added.
Overridden model methods are not called on bulk operations
Note that the
delete() method for an object is not necessarily called when deleting objects in bulk using a QuerySet or as a result of a
delete. To ensure customized delete logic gets executed, you can use
Another common pattern is writing custom SQL statements in model methods and module-level methods. For more details on using raw SQL, see the documentation on using raw SQL.
Model inheritance in Django works almost identically to the way normal class inheritance works in Python, but the basics at the beginning of the page should still be followed. That means the base class should subclass
The only decision you have to make is whether you want the parent models to be models in their own right (with their own database tables), or if the parents are just holders of common information that will only be visible through the child models.
There are three styles of inheritance that are possible in Django.
Abstract base classes are useful when you want to put some common information into a number of other models. You write your base class and put
abstract=True in the Meta class. This model will then not be used to create any database table. Instead, when it is used as a base class for other models, its fields will be added to those of the child class.
from django.db import models class CommonInfo(models.Model): name = models.CharField(max_length=100) age = models.PositiveIntegerField() class Meta: abstract = True class Student(CommonInfo): home_group = models.CharField(max_length=5)
Student model will have three fields:
CommonInfo model cannot be used as a normal Django model, since it is an abstract base class. It does not generate a database table or have a manager, and cannot be instantiated or saved directly.
Fields inherited from abstract base classes can be overridden with another field or value, or be removed with
For many uses, this type of model inheritance will be exactly what you want. It provides a way to factor out common information at the Python level, while still only creating one database table per child model at the database level.
When an abstract base class is created, Django makes any Meta inner class you declared in the base class available as an attribute. If a child class does not declare its own Meta class, it will inherit the parent’s Meta. If the child wants to extend the parent’s Meta class, it can subclass it. For example:
from django.db import models class CommonInfo(models.Model): # ... class Meta: abstract = True ordering = ['name'] class Student(CommonInfo): # ... class Meta(CommonInfo.Meta): db_table = 'student_info'
Django does make one adjustment to the Meta class of an abstract base class: before installing the Meta attribute, it sets
abstract=False. This means that children of abstract base classes don’t automatically become abstract classes themselves. Of course, you can make an abstract base class that inherits from another abstract base class. You just need to remember to explicitly set
abstract=True each time.
Some attributes won’t make sense to include in the Meta class of an abstract base class. For example, including
db_table would mean that all the child classes (the ones that don’t specify their own Meta) would use the same database table, which is almost certainly not what you want.
'%(class)s'is replaced by the lower-cased name of the child class that the field is used in.
'%(app_label)s'is replaced by the lower-cased name of the app the child class is contained within. Each installed application name must be unique and the model class names within each app must also be unique, therefore the resulting name will end up being different.
For example, given an app
from django.db import models class Base(models.Model): m2m = models.ManyToManyField( OtherModel, related_name="%(app_label)s_%(class)s_related", related_query_name="%(app_label)s_%(class)ss", ) class Meta: abstract = True class ChildA(Base): pass class ChildB(Base): pass
Along with another app
from common.models import Base class ChildB(Base): pass
The reverse name of the
common.ChildA.m2m field will be
common_childa_related and the reverse query name will be
common_childas. The reverse name of the
common.ChildB.m2m field will be
common_childb_related and the reverse query name will be
common_childbs. Finally, the reverse name of the
rare.ChildB.m2m field will be
rare_childb_related and the reverse query name will be
rare_childbs. It’s up to you how you use the
'%(app_label)s' portion to construct your related name or related query name but if you forget to use it, Django will raise errors when you perform system checks (or run
If you don’t specify a
related_name attribute for a field in an abstract base class, the default reverse name will be the name of the child class followed by
'_set', just as it normally would be if you’d declared the field directly on the child class. For example, in the above code, if the
related_name attribute was omitted, the reverse name for the
m2m field would be
childa_set in the
ChildA case and
childb_set for the
The second type of model inheritance supported by Django is when each model in the hierarchy is a model all by itself. Each model corresponds to its own database table and can be queried and created individually. The inheritance relationship introduces links between the child model and each of its parents (via an automatically-created
OneToOneField). For example:
from django.db import models class Place(models.Model): name = models.CharField(max_length=50) address = models.CharField(max_length=80) class Restaurant(Place): serves_hot_dogs = models.BooleanField(default=False) serves_pizza = models.BooleanField(default=False)
All of the fields of
Place will also be available in
Restaurant, although the data will reside in a different database table. So these are both possible:
>>> Place.objects.filter(name="Bob's Cafe") >>> Restaurant.objects.filter(name="Bob's Cafe")
If you have a
Place that is also a
Restaurant, you can get from the
Place object to the
Restaurant object by using the lower-case version of the model name:
>>> p = Place.objects.get(id=12) # If p is a Restaurant object, this will give the child class: >>> p.restaurant <Restaurant: ...>
p in the above example was not a
Restaurant (it had been created directly as a
Place object or was the parent of some other class), referring to
p.restaurant would raise a
Restaurant that links it to
Place looks like this:
place_ptr = models.OneToOneField( Place, on_delete=models.CASCADE, parent_link=True, )
Metaand multi-table inheritance
In the multi-table inheritance situation, it doesn’t make sense for a child class to inherit from its parent’s Meta class. All the Meta options have already been applied to the parent class and applying them again would normally only lead to contradictory behavior (this is in contrast with the abstract base class case, where the base class doesn’t exist in its own right).
So a child model does not have access to its parent’s Meta class. However, there are a few limited cases where the child inherits behavior from the parent: if the child does not specify an
ordering attribute or a
get_latest_by attribute, it will inherit these from its parent.
If the parent has an ordering and you don’t want the child to have any natural ordering, you can explicitly disable it:
class ChildModel(ParentModel): # ... class Meta: # Remove parent's ordering effect ordering = 
Because multi-table inheritance uses an implicit
OneToOneField to link the child and the parent, it’s possible to move from the parent down to the child, as in the above example. However, this uses up the name that is the default
related_name value for
ManyToManyField relations. If you are putting those types of relations on a subclass of the parent model, you must specify the
related_name attribute on each such field. If you forget, Django will raise a validation error.
For example, using the above
Place class again, let’s create another subclass with a
class Supplier(Place): customers = models.ManyToManyField(Place)
This results in the error:
Reverse query name for 'Supplier.customers' clashes with reverse query name for 'Supplier.place_ptr'. HINT: Add or change a related_name argument to the definition for 'Supplier.customers' or 'Supplier.place_ptr'.
related_name to the
customers field as follows would resolve the error:
When using multi-table inheritance, a new database table is created for each subclass of a model. This is usually the desired behavior, since the subclass needs a place to store any additional data fields that are not present on the base class. Sometimes, however, you only want to change the Python behavior of a model – perhaps to change the default manager, or add a new method.
This is what proxy model inheritance is for: creating a proxy for the original model. You can create, delete and update instances of the proxy model and all the data will be saved as if you were using the original (non-proxied) model. The difference is that you can change things like the default model ordering or the default manager in the proxy, without having to alter the original.
Proxy models are declared like normal models. You tell Django that it’s a proxy model by setting the
proxy attribute of the
Meta class to
For example, suppose you want to add a method to the
Person model. You can do it like this:
from django.db import models class Person(models.Model): first_name = models.CharField(max_length=30) last_name = models.CharField(max_length=30) class MyPerson(Person): class Meta: proxy = True def do_something(self): # ... pass
MyPerson class operates on the same database table as its parent
Person class. In particular, any new instances of
Person will also be accessible through
MyPerson, and vice-versa:
>>> p = Person.objects.create(first_name="foobar") >>> MyPerson.objects.get(first_name="foobar") <MyPerson: foobar>
You could also use a proxy model to define a different default ordering on a model. You might not always want to order the
Person model, but regularly order by the
last_name attribute when you use the proxy. This is easy:
class OrderedPerson(Person): class Meta: ordering = ["last_name"] proxy = True
Person queries will be unordered and
OrderedPerson queries will be ordered by
Proxy models inherit
Meta attributes in the same way as regular models.
QuerySets still return the model that was requested
There is no way to have Django return, say, a
MyPerson object whenever you query for
Person objects. A queryset for
Person objects will return those types of objects. The whole point of proxy objects is that code relying on the original
Person will use those and your own code can use the extensions you included (that no other code is relying on anyway). It is not a way to replace the
Person (or any other) model everywhere with something of your own creation.
A proxy model must inherit from exactly one non-abstract model class. You can’t inherit from multiple non-abstract models as the proxy model doesn’t provide any connection between the rows in the different database tables. A proxy model can inherit from any number of abstract model classes, providing they do not define any model fields. A proxy model may also inherit from any number of proxy models that share a common non-abstract parent class.
If you don’t specify any model managers on a proxy model, it inherits the managers from its model parents. If you define a manager on the proxy model, it will become the default, although any managers defined on the parent classes will still be available.
Continuing our example from above, you could change the default manager used when you query the
Person model like this:
from django.db import models class NewManager(models.Manager): # ... pass class MyPerson(Person): objects = NewManager() class Meta: proxy = True
If you wanted to add a new manager to the Proxy, without replacing the existing default, you can use the techniques described in the custom manager documentation: create a base class containing the new managers and inherit that after the primary base class:
# Create an abstract class for the new manager. class ExtraManagers(models.Model): secondary = NewManager() class Meta: abstract = True class MyPerson(Person, ExtraManagers): class Meta: proxy = True
You probably won’t need to do this very often, but, when you do, it’s possible.
Proxy model inheritance might look fairly similar to creating an unmanaged model, using the
managed attribute on a model’s
With careful setting of
Meta.db_table you could create an unmanaged model that shadows an existing model and adds Python methods to it. However, that would be very repetitive and fragile as you need to keep both copies synchronized if you make any changes.
On the other hand, proxy models are intended to behave exactly like the model they are proxying for. They are always in sync with the parent model since they directly inherit its fields and managers.
The general rules are:
Meta.managed=False. That option is normally useful for modeling database views and tables not under the control of Django.
Meta.proxy=True. This sets things up so that the proxy model is an exact copy of the storage structure of the original model when data is saved.
Just as with Python’s subclassing, it’s possible for a Django model to inherit from multiple parent models. Keep in mind that normal Python name resolution rules apply. The first base class that a particular name (e.g. Meta) appears in will be the one that is used; for example, this means that if multiple parents contain a Meta class, only the first one is going to be used, and all others will be ignored.
Generally, you won’t need to inherit from multiple parents. The main use-case where this is useful is for “mix-in” classes: adding a particular extra field or method to every class that inherits the mix-in. Try to keep your inheritance hierarchies as simple and straightforward as possible so that you won’t have to struggle to work out where a particular piece of information is coming from.
Note that inheriting from multiple models that have a common
id primary key field will raise an error. To properly use multiple inheritance, you can use an explicit
AutoField in the base models:
class Article(models.Model): article_id = models.AutoField(primary_key=True) ... class Book(models.Model): book_id = models.AutoField(primary_key=True) ... class BookReview(Book, Article): pass
Or use a common ancestor to hold the
AutoField. This requires using an explicit
OneToOneField from each parent model to the common ancestor to avoid a clash between the fields that are automatically generated and inherited by the child:
class Piece(models.Model): pass class Article(Piece): article_piece = models.OneToOneField(Piece, on_delete=models.CASCADE, parent_link=True) ... class Book(Piece): book_piece = models.OneToOneField(Piece, on_delete=models.CASCADE, parent_link=True) ... class BookReview(Book, Article): pass
In normal Python class inheritance, it is permissible for a child class to override any attribute from the parent class. In Django, this isn’t usually permitted for model fields. If a non-abstract model base class has a field called
author, you can’t create another model field or define an attribute called
author in any class that inherits from that base class.
This restriction doesn’t apply to model fields inherited from an abstract model. Such fields may be overridden with another field or value, or be removed by setting
field_name = None.
Some fields define extra attributes on the model, e.g. a
ForeignKey defines an extra attribute with
_id appended to the field name, as well as
related_query_name on the foreign model.
These extra attributes cannot be overridden unless the field that defines it is changed or removed so that it no longer defines the extra attribute.
Overriding fields in a parent model leads to difficulties in areas such as initializing new instances (specifying which field is being initialized in
Model.__init__) and serialization. These are features which normal Python class inheritance doesn’t have to deal with in quite the same way, so the difference between Django model inheritance and Python class inheritance isn’t arbitrary.
This restriction only applies to attributes which are
Field instances. Normal Python attributes can be overridden if you wish. It also only applies to the name of the attribute as Python sees it: if you are manually specifying the database column name, you can have the same column name appearing in both a child and an ancestor model for multi-table inheritance (they are columns in two different database tables).
Django will raise a
FieldError if you override any model field in any ancestor model.
manage.py startapp command creates an application structure that includes a
models.py file. If you have many models, organizing them in separate files may be useful.
To do so, create a
models package. Remove
models.py and create a
myapp/models/ directory with an
__init__.py file and the files to store your models. You must import the models in the
For example, if you had
synthetic.py in the
from .organic import Person from .synthetic import Robot
Explicitly importing each model rather than using
from .models import * has the advantages of not cluttering the namespace, making code more readable, and keeping code analysis tools useful.
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