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django/docs/topics/db/multi-db.txt
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.. _topics-db-multi-db:
==================
Multiple Databases
==================
.. versionadded:: 1.2
This topic guide describes Django's support for interacting with multiple
databases. Most of the rest of Django's documentation assumes you are
interacting with a single database. If you want to interact with multiple
databases, some additional steps must be taken.
Defining your databases
=======================
The first step to using more than one database with Django is to tell
Django about the database servers you'll be using. This is done using
the :setting:`DATABASES` setting. This setting maps database aliases,
which are a way to refer to a specific database throughout Django, to
a dictionary of settings for that specific connection. The settings in
the inner dictionaries are described fully in the :setting:`DATABASES`
documentation.
Regardless of how many databases you have, you *must* have a database
named ``'default'``. Any additional databases you have can have
whatever alias you choose.
The following is an example ``settings.py`` snippet defining two
databases - a default Postgres database, and a MySQL database called
``users``:
.. code-block:: python
DATABASES = {
'default': {
'NAME': 'app_data',
'BACKEND': 'django.db.backends.postgres_psycopg2',
'USER': 'postgres_user',
'PASSWORD': 's3krit'
},
'users': {
'NAME': 'user_data'
'BACKEND': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'priv4te'
}
}
If you attempt to access a database that you haven't defined in your
:setting:`DATABASES` setting then Django will raise a
``django.db.utils.ConnectionDoesNotExist`` exception.
Selecting a database for a ``QuerySet``
=======================================
It is possible to select the database for a ``QuerySet`` at any point
during it's construction. To choose the database that a query will be
preformed against simply call the ``using()`` method on the
``QuerySet``. ``using()`` takes a single argument: the alias of the
database on which you want to run the query. For example:
.. code-block:: python
# This will run on the 'default' database...
>>> Author.objects.all()
# So will this...
>>> Author.objects.using('default').all()
# This will run on the 'other' database
>>> Author.objects.using('other').all()
Select a database to save to
============================
To choose what database to save a model to, provide a ``using`` keyword
argument to ``Model.save()``. For example if you had a user model that you
wanted to save to the ``'legacy_users'`` database you would save the user
by calling::
>>> user_obj.save(using='legacy_users')
Moving an object from one database to another
---------------------------------------------
If you have saved an instance to one database, it might be tempting to use
``save(using=...)`` as a way to migrate the instance to a new database. However,
if you don't take appropriate steps, this could have some unexpected consequences.
Consider the following example::
>>> p = Person(name='Fred')
>>> p.save(using='first') # (1)
# some other processing ...
>>> p.save(using='second') # (2)
In statement 1, a new Person object is saved to the ``first``
database. At this time, ``p`` doesn't have a primary key, so Django
issues a SQL ``INSERT`` statement. This creates a primary key, and
Django assigns that primary key to ``p``.
When the save occurs in statement 2, ``p`` already has a primary key
value, and Django will attempt to use that primary key on the new
database. If the primary key value isn't in use in the ``second``
database, then you won't have any problems -- the object will be
copied to the new databse.
However, if the primary key of ``p`` is already in use on the
``second`` database, the existing object on the ``second`` database
will be lost when ``p`` is saved.
There are two ways to avoid this outcome. Firstly, you can clear the
primary key of the instance. If an object has no primary key, Django
will treat it as a new object, avoiding any loss of data on the
``second`` database::
>>> p = Person(name='Fred')
>>> p.save(using='first')
# some other processing ...
>>> p.pk = None # Clear the PK
>>> p.save(using='second') # Write a completely new object
Secondly, you can use the ``force_insert`` option to ``save()`` to ensure that
Django does a SQL ``INSERT``::
>>> p = Person(name='Fred')
>>> p.save(using='first')
# some other processing ...
>>> p.save(using='second', force_insert=True)
This will ensure that the person named ``Fred`` will have the same
primary key on both databases. If that primary key is already in use
when you try to save onto the ``second`` database, an error will be
raised.
Select a database to delete from
================================
By default, a call to delete an existing object will be executed on the
same database that was used to retrieve the object in the first place::
>>> user_obj = User.objects.using('legacy_users').get(username='fred')
>>> user_obj.delete() # will delete from the `legacy_users` database
If you want to specify the database from which a model will be
deleted, you can use a ``using`` keyword argument to the
``Model.delete()`` method. This argument is analogous to the ``using``
keyword argument to ``save()``. For example if you were migrating a
user from the ``'legacy_users'`` database to the ``'new_users'``
database you might use the commands::
>>> user_obj.save(using='new_users')
>>> user_obj.delete(using='legacy_users')
Using ``Managers`` with multiple databases
==========================================
When you call ``using()`` Django returns a ``QuerySet`` that will be
evaluated against that database. However, sometimes you want to direct
a manager to use a specific database chain ``using()``. If you call
``using()``, you won't have access to any of the methods on the
manager.
To overcome this limitation, managers provide a ``db_manager()``
method. This method returns a copy of the *manager* bound to that
specific database. So, if you want to load an object using it's
natural key (using the ``get_by_natural_key()`` method on the manager,
you can call::
>>> Book.objects.db_mamanger("other").get_by_natural_key(...)
If you are overriding ``get_query_set()`` on your manager you must be sure to
either, call the method on the parent (using ``super()``), or do the
appropriate handling of the ``_db`` attribute on the manager. For example if
you wanted to return a custom ``QuerySet`` class from the ``get_query_set``
method you could do this::
class MyManager(models.Manager):
...
def get_query_set(self):
qs = CustomQuerySet(self.model)
if self._db is not None:
qs = qs.using(self._db)
return qs
Exposing multiple databases in Django's admin interface
=======================================================
Django's admin doesn't have any explicit support for multiple
databases. If you want to provide an admin interface for a model on a
database other than ``default``, you need to write custom
:class:`~django.contrib.admin.ModelAdmin` classes that will direct the
admin to use a specific database for content.
There are four methods that require customization on a ModelAdmin
object::
class MultiDBModelAdmin(admin.ModelAdmin):
# A handy constant for the name of the alternate database
using = 'other'
def save_model(self, request, obj, form, change):
# Tell Django to save objects to the 'other' database
obj.save(using=self.using)
def queryset(self, request):
# Tell Django to look for objects on the 'other' database
return super(MultiDBModelAdmin, self).queryset(request).using(self.using)
def formfield_for_foreignkey(self, db_field, request=None, **kwargs):
# Tell Django to populate ForeignKey widgets using a query
# on the 'other' database
return super(MultiDBModelAdmin, self).formfield_for_foreignkey(db_field, request=request, using=self.using, **kwargs)
def formfield_for_manytomany(self, db_field, request=None, **kwargs):
# Tell Django to populate ManyToMany widgets using a query
# on the 'other' database
return super(MultiDBModelAdmin, self).formfield_for_manytomany(db_field, request=request, using=self.using, **kwargs)
The implementation provided here implements a multi-db strategy where
all objects of a given type are stored on a specific database (e.g.,
all ``User`` objects are on the ``other`` database). If your usage of
multi-db is more complex, your ModelAdmin will need to reflect that
strategy.
Inlines can be handled in a similar fashion -- they require just three
customized methods::
class MultiDBTabularInline(admin.TabularInline):
using = 'other'
def queryset(self, request):
# Tell Django to look for inline objects on the 'other' database
return super(MultiDBTabularInline, self).queryset(request).using(self.using)
def formfield_for_foreignkey(self, db_field, request=None, **kwargs):
# Tell Django to populate ForeignKey widgets using a query
# on the 'other' database
return super(MultiDBTabularInline, self).formfield_for_foreignkey(db_field, request=request, using=self.using, **kwargs)
def formfield_for_manytomany(self, db_field, request=None, **kwargs):
# Tell Django to populate ManyToMany widgets using a query
# on the 'other' database
return super(MultiDBTabularInline, self).formfield_for_manytomany(db_field, request=request, using=self.using, **kwargs)
Once you have written your model admin definitions, they can be
registered with any Admin instance::
from django.contrib import admin
# Specialize the multi-db admin objects for use with specific models
class BookInline(MultiDBTabularInline):
model = Book
class PublisherAdmin(MultiDBModelAdmin):
inlines = [BookInline]
admin.site.register
admin.site.register(Author, MultiDBModelAdmin)
admin.site.register(Publisher, PublisherAdmin)
othersite = admin.Site('othersite')
othersite.register(Publisher, MultiDBModelAdmin)
This example sets up two admin sites. On the first site, the
``Author`` and ``Publisher`` objects are exposed; ``Publisher``
objects have an tabular inline showing books published by that
publisher. The second site exposes just publishers, without the
inlines.