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, you’ll need to take some additional steps.
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 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 DATABASES
documentation.
Databases can have any alias you choose. However, the alias
default has special significance. Django uses the database with
the alias of default when no other database has been selected.
The following is an example settings.py snippet defining two
databases – a default PostgreSQL database and a MySQL database called
users:
DATABASES = {
'default': {
'NAME': 'app_data',
'ENGINE': 'django.db.backends.postgresql',
'USER': 'postgres_user',
'PASSWORD': 's3krit'
},
'users': {
'NAME': 'user_data',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'priv4te'
}
}
If the concept of a default database doesn’t make sense in the context
of your project, you need to be careful to always specify the database
that you want to use. Django requires that a default database entry
be defined, but the parameters dictionary can be left blank if it will not be
used. To do this, you must set up DATABASE_ROUTERS for all of your
apps’ models, including those in any contrib and third-party apps you’re using,
so that no queries are routed to the default database. The following is an
example settings.py snippet defining two non-default databases, with the
default entry intentionally left empty:
DATABASES = {
'default': {},
'users': {
'NAME': 'user_data',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'superS3cret'
},
'customers': {
'NAME': 'customer_data',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_cust',
'PASSWORD': 'veryPriv@ate'
}
}
If you attempt to access a database that you haven’t defined in your
DATABASES setting, Django will raise a
django.db.utils.ConnectionDoesNotExist exception.
The migrate management command operates on one database at a
time. By default, it operates on the default database, but by
providing the --database option, you can tell it
to synchronize a different database. So, to synchronize all models onto
all databases in the first example above, you would need to call:
$ ./manage.py migrate
$ ./manage.py migrate --database=users
If you don’t want every application to be synchronized onto a particular database, you can define a database router that implements a policy constraining the availability of particular models.
If, as in the second example above, you’ve left the default database empty,
you must provide a database name each time you run migrate. Omitting
the database name would raise an error. For the second example:
$ ./manage.py migrate --database=users
$ ./manage.py migrate --database=customers
Most other django-admin commands that interact with the database operate in
the same way as migrate – they only ever operate on one database at
a time, using --database to control the database used.
An exception to this rule is the makemigrations command. It
validates the migration history in the databases to catch problems with the
existing migration files (which could be caused by editing them) before
creating new migrations. By default, it checks only the default database,
but it consults the allow_migrate() method of routers if any are installed.
Migration consistency checks were added. Checks based on database routers were added in 1.10.1.
The easiest way to use multiple databases is to set up a database
routing scheme. The default routing scheme ensures that objects remain
‘sticky’ to their original database (i.e., an object retrieved from
the foo database will be saved on the same database). The default
routing scheme ensures that if a database isn’t specified, all queries
fall back to the default database.
You don’t have to do anything to activate the default routing scheme – it is provided ‘out of the box’ on every Django project. However, if you want to implement more interesting database allocation behaviors, you can define and install your own database routers.
A database Router is a class that provides up to four methods:
db_for_read(model, **hints)¶Suggest the database that should be used for read operations for
objects of type model.
If a database operation is able to provide any additional
information that might assist in selecting a database, it will be
provided in the hints dictionary. Details on valid hints are
provided below.
Returns None if there is no suggestion.
db_for_write(model, **hints)¶Suggest the database that should be used for writes of objects of type Model.
If a database operation is able to provide any additional
information that might assist in selecting a database, it will be
provided in the hints dictionary. Details on valid hints are
provided below.
Returns None if there is no suggestion.
allow_relation(obj1, obj2, **hints)¶Return True if a relation between obj1 and obj2 should be
allowed, False if the relation should be prevented, or None if
the router has no opinion. This is purely a validation operation,
used by foreign key and many to many operations to determine if a
relation should be allowed between two objects.
allow_migrate(db, app_label, model_name=None, **hints)¶Determine if the migration operation is allowed to run on the database with
alias db. Return True if the operation should run, False if it
shouldn’t run, or None if the router has no opinion.
The app_label positional argument is the label of the application
being migrated.
model_name is set by most migration operations to the value of
model._meta.model_name (the lowercased version of the model
__name__) of the model being migrated. Its value is None for the
RunPython and
RunSQL operations unless they
provide it using hints.
hints are used by certain operations to communicate additional
information to the router.
When model_name is set, hints normally contains the model class
under the key 'model'. Note that it may be a historical model, and thus not have any custom attributes, methods, or
managers. You should only rely on _meta.
This method can also be used to determine the availability of a model on a given database.
makemigrations always creates migrations for model changes, but
if allow_migrate() returns False, any migration operations for the
model_name will be silently skipped when running migrate on
the db. Changing the behavior of allow_migrate() for models that
already have migrations may result in broken foreign keys, extra tables,
or missing tables. When makemigrations verifies the migration
history, it skips databases where no app is allowed to migrate.
A router doesn’t have to provide all these methods – it may omit one or more of them. If one of the methods is omitted, Django will skip that router when performing the relevant check.
The hints received by the database router can be used to decide which database should receive a given request.
At present, the only hint that will be provided is instance, an
object instance that is related to the read or write operation that is
underway. This might be the instance that is being saved, or it might
be an instance that is being added in a many-to-many relation. In some
cases, no instance hint will be provided at all. The router checks for
the existence of an instance hint, and determine if that hint should be
used to alter routing behavior.
Database routers are installed using the DATABASE_ROUTERS
setting. This setting defines a list of class names, each specifying a
router that should be used by the master router
(django.db.router).
The master router is used by Django’s database operations to allocate
database usage. Whenever a query needs to know which database to use,
it calls the master router, providing a model and a hint (if
available). Django then tries each router in turn until a database
suggestion can be found. If no suggestion can be found, it tries the
current _state.db of the hint instance. If a hint instance wasn’t
provided, or the instance doesn’t currently have database state, the
master router will allocate the default database.
Example purposes only!
This example is intended as a demonstration of how the router infrastructure can be used to alter database usage. It intentionally ignores some complex issues in order to demonstrate how routers are used.
This example won’t work if any of the models in myapp contain
relationships to models outside of the other database.
Cross-database relationships
introduce referential integrity problems that Django can’t
currently handle.
The primary/replica (referred to as master/slave by some databases) configuration described is also flawed – it doesn’t provide any solution for handling replication lag (i.e., query inconsistencies introduced because of the time taken for a write to propagate to the replicas). It also doesn’t consider the interaction of transactions with the database utilization strategy.
So - what does this mean in practice? Let’s consider another sample
configuration. This one will have several databases: one for the
auth application, and all other apps using a primary/replica setup
with two read replicas. Here are the settings specifying these
databases:
DATABASES = {
'default': {},
'auth_db': {
'NAME': 'auth_db',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'swordfish',
},
'primary': {
'NAME': 'primary',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'spam',
},
'replica1': {
'NAME': 'replica1',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'eggs',
},
'replica2': {
'NAME': 'replica2',
'ENGINE': 'django.db.backends.mysql',
'USER': 'mysql_user',
'PASSWORD': 'bacon',
},
}
Now we’ll need to handle routing. First we want a router that knows to
send queries for the auth app to auth_db:
class AuthRouter(object):
"""
A router to control all database operations on models in the
auth application.
"""
def db_for_read(self, model, **hints):
"""
Attempts to read auth models go to auth_db.
"""
if model._meta.app_label == 'auth':
return 'auth_db'
return None
def db_for_write(self, model, **hints):
"""
Attempts to write auth models go to auth_db.
"""
if model._meta.app_label == 'auth':
return 'auth_db'
return None
def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in the auth app is involved.
"""
if obj1._meta.app_label == 'auth' or \
obj2._meta.app_label == 'auth':
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the auth app only appears in the 'auth_db'
database.
"""
if app_label == 'auth':
return db == 'auth_db'
return None
And we also want a router that sends all other apps to the primary/replica configuration, and randomly chooses a replica to read from:
import random
class PrimaryReplicaRouter(object):
def db_for_read(self, model, **hints):
"""
Reads go to a randomly-chosen replica.
"""
return random.choice(['replica1', 'replica2'])
def db_for_write(self, model, **hints):
"""
Writes always go to primary.
"""
return 'primary'
def allow_relation(self, obj1, obj2, **hints):
"""
Relations between objects are allowed if both objects are
in the primary/replica pool.
"""
db_list = ('primary', 'replica1', 'replica2')
if obj1._state.db in db_list and obj2._state.db in db_list:
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
All non-auth models end up in this pool.
"""
return True
Finally, in the settings file, we add the following (substituting
path.to. with the actual Python path to the module(s) where the
routers are defined):
DATABASE_ROUTERS = ['path.to.AuthRouter', 'path.to.PrimaryReplicaRouter']
The order in which routers are processed is significant. Routers will
be queried in the order they are listed in the
DATABASE_ROUTERS setting. In this example, the
AuthRouter is processed before the PrimaryReplicaRouter, and as a
result, decisions concerning the models in auth are processed
before any other decision is made. If the DATABASE_ROUTERS
setting listed the two routers in the other order,
PrimaryReplicaRouter.allow_migrate() would be processed first. The
catch-all nature of the PrimaryReplicaRouter implementation would mean
that all models would be available on all databases.
With this setup installed, lets run some Django code:
>>> # This retrieval will be performed on the 'auth_db' database
>>> fred = User.objects.get(username='fred')
>>> fred.first_name = 'Frederick'
>>> # This save will also be directed to 'auth_db'
>>> fred.save()
>>> # These retrieval will be randomly allocated to a replica database
>>> dna = Person.objects.get(name='Douglas Adams')
>>> # A new object has no database allocation when created
>>> mh = Book(title='Mostly Harmless')
>>> # This assignment will consult the router, and set mh onto
>>> # the same database as the author object
>>> mh.author = dna
>>> # This save will force the 'mh' instance onto the primary database...
>>> mh.save()
>>> # ... but if we re-retrieve the object, it will come back on a replica
>>> mh = Book.objects.get(title='Mostly Harmless')
This example defined a router to handle interaction with models from the
auth app, and other routers to handle interaction with all other apps. If
you left your default database empty and don’t want to define a catch-all
database router to handle all apps not otherwise specified, your routers must
handle the names of all apps in INSTALLED_APPS before you migrate.
See Behavior of contrib apps for information about contrib apps
that must be together in one database.
Django also provides an API that allows you to maintain complete control over database usage in your code. A manually specified database allocation will take priority over a database allocated by a router.
QuerySet¶You can select the database for a QuerySet at any point in the
QuerySet “chain.” Just call using() on the QuerySet to get
another QuerySet that uses the specified database.
using() takes a single argument: the alias of the database on
which you want to run the query. For example:
>>> # 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()
save()¶Use the using keyword to Model.save() to specify to which
database the data should be saved.
For example, to save an object to the legacy_users database, you’d
use this:
>>> my_object.save(using='legacy_users')
If you don’t specify using, the save() method will save into
the default database allocated by the routers.
If you’ve 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') # (statement 1)
>>> p.save(using='second') # (statement 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 an 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 database.
However, if the primary key of p is already in use on the
second database, the existing object in the second database
will be overridden when p is saved.
You can avoid this in two ways. First, 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')
>>> p.pk = None # Clear the primary key.
>>> p.save(using='second') # Write a completely new object.
The second option is to use the force_insert option to save()
to ensure that Django does an SQL INSERT:
>>> p = Person(name='Fred')
>>> p.save(using='first')
>>> 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.
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:
>>> u = User.objects.using('legacy_users').get(username='fred')
>>> u.delete() # will delete from the `legacy_users` database
To specify the database from which a model will be deleted, pass a
using keyword argument to the Model.delete() method. This
argument works just like the using keyword argument to save().
For example, if you’re migrating a user from the legacy_users
database to the new_users database, you might use these commands:
>>> user_obj.save(using='new_users')
>>> user_obj.delete(using='legacy_users')
Use the db_manager() method on managers to give managers access to
a non-default database.
For example, say you have a custom manager method that touches the
database – User.objects.create_user(). Because create_user()
is a manager method, not a QuerySet method, you can’t do
User.objects.using('new_users').create_user(). (The
create_user() method is only available on User.objects, the
manager, not on QuerySet objects derived from the manager.) The
solution is to use db_manager(), like this:
User.objects.db_manager('new_users').create_user(...)
db_manager() returns a copy of the manager bound to the database you specify.
get_queryset() with multiple databases¶If you’re overriding get_queryset() on your manager, be sure to
either call the method on the parent (using super()) or do the
appropriate handling of the _db attribute on the manager (a string
containing the name of the database to use).
For example, if you want to return a custom QuerySet class from
the get_queryset method, you could do this:
class MyManager(models.Manager):
def get_queryset(self):
qs = CustomQuerySet(self.model)
if self._db is not None:
qs = qs.using(self._db)
return qs
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 that specified by your router chain, you’ll
need to write custom ModelAdmin classes
that will direct the admin to use a specific database for content.
ModelAdmin objects have five methods that require customization for
multiple-database support:
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 delete_model(self, request, obj):
# Tell Django to delete objects from the 'other' database
obj.delete(using=self.using)
def get_queryset(self, request):
# Tell Django to look for objects on the 'other' database.
return super(MultiDBModelAdmin, self).get_queryset(request).using(self.using)
def formfield_for_foreignkey(self, db_field, request, **kwargs):
# Tell Django to populate ForeignKey widgets using a query
# on the 'other' database.
return super(MultiDBModelAdmin, self).formfield_for_foreignkey(db_field, request, using=self.using, **kwargs)
def formfield_for_manytomany(self, db_field, request, **kwargs):
# Tell Django to populate ManyToMany widgets using a query
# on the 'other' database.
return super(MultiDBModelAdmin, self).formfield_for_manytomany(db_field, request, using=self.using, **kwargs)
The implementation provided here implements a multi-database strategy
where all objects of a given type are stored on a specific database
(e.g., all User objects are in the other database). If your
usage of multiple databases is more complex, your ModelAdmin will
need to reflect that strategy.
InlineModelAdmin objects can be handled in a
similar fashion. They require three customized methods:
class MultiDBTabularInline(admin.TabularInline):
using = 'other'
def get_queryset(self, request):
# Tell Django to look for inline objects on the 'other' database.
return super(MultiDBTabularInline, self).get_queryset(request).using(self.using)
def formfield_for_foreignkey(self, db_field, request, **kwargs):
# Tell Django to populate ForeignKey widgets using a query
# on the 'other' database.
return super(MultiDBTabularInline, self).formfield_for_foreignkey(db_field, request, using=self.using, **kwargs)
def formfield_for_manytomany(self, db_field, request, **kwargs):
# Tell Django to populate ManyToMany widgets using a query
# on the 'other' database.
return super(MultiDBTabularInline, self).formfield_for_manytomany(db_field, request, using=self.using, **kwargs)
Once you’ve 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(Author, MultiDBModelAdmin)
admin.site.register(Publisher, PublisherAdmin)
othersite = admin.AdminSite('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.
If you are using more than one database you can use
django.db.connections to obtain the connection (and cursor) for a
specific database. django.db.connections is a dictionary-like
object that allows you to retrieve a specific connection using its
alias:
from django.db import connections
cursor = connections['my_db_alias'].cursor()
Django doesn’t currently provide any support for foreign key or many-to-many relationships spanning multiple databases. If you have used a router to partition models to different databases, any foreign key and many-to-many relationships defined by those models must be internal to a single database.
This is because of referential integrity. In order to maintain a relationship between two objects, Django needs to know that the primary key of the related object is valid. If the primary key is stored on a separate database, it’s not possible to easily evaluate the validity of a primary key.
If you’re using Postgres, Oracle, or MySQL with InnoDB, this is enforced at the database integrity level – database level key constraints prevent the creation of relations that can’t be validated.
However, if you’re using SQLite or MySQL with MyISAM tables, there is no enforced referential integrity; as a result, you may be able to ‘fake’ cross database foreign keys. However, this configuration is not officially supported by Django.
Several contrib apps include models, and some apps depend on others. Since cross-database relationships are impossible, this creates some restrictions on how you can split these models across databases:
contenttypes.ContentType, sessions.Session and
sites.Site can be stored in any database, given a suitable router.auth models — User, Group and Permission — are linked
together and linked to ContentType, so they must be stored in the same
database as ContentType.admin depends on auth, so its models must be in the same database
as auth.flatpages and redirects depend on sites, so their models must be
in the same database as sites.In addition, some objects are automatically created just after
migrate creates a table to hold them in a database:
Site,ContentType for each model (including those not stored in that
database),Permission for each model (including those not stored in that
database).For common setups with multiple databases, it isn’t useful to have these objects in more than one database. Common setups include primary/replica and connecting to external databases. Therefore, it’s recommended to write a database router that allows synchronizing these three models to only one database. Use the same approach for contrib and third-party apps that don’t need their tables in multiple databases.
Warning
If you’re synchronizing content types to more than one database, be aware that their primary keys may not match across databases. This may result in data corruption or data loss.
Jun 22, 2017