django/docs/topics/migrations.txt

==========
Migrations
==========

.. module:: django.db.migrations
   :synopsis: Schema migration support for Django models

Migrations are Django's way of propagating changes you make to your models
(adding a field, deleting a model, etc.) into your database schema. They're
designed to be mostly automatic, but you'll need to know when to make
migrations, when to run them, and the common problems you might run into.

The Commands
============

There are several commands which you will use to interact with migrations
and Django's handling of database schema:

* :djadmin:`migrate`, which is responsible for applying and unapplying
  migrations.

* :djadmin:`makemigrations`, which is responsible for creating new migrations
  based on the changes you have made to your models.

* :djadmin:`sqlmigrate`, which displays the SQL statements for a migration.

* :djadmin:`showmigrations`, which lists a project's migrations and their
  status.

You should think of migrations as a version control system for your database
schema. ``makemigrations`` is responsible for packaging up your model changes
into individual migration files - analogous to commits - and ``migrate`` is
responsible for applying those to your database.

The migration files for each app live in a "migrations" directory inside
of that app, and are designed to be committed to, and distributed as part
of, its codebase. You should be making them once on your development machine
and then running the same migrations on your colleagues' machines, your
staging machines, and eventually your production machines.

.. note::
    It is possible to override the name of the package which contains the
    migrations on a per-app basis by modifying the :setting:`MIGRATION_MODULES`
    setting.

Migrations will run the same way on the same dataset and produce consistent
results, meaning that what you see in development and staging is, under the
same circumstances, exactly what will happen in production.

Django will make migrations for any change to your models or fields - even
options that don't affect the database - as the only way it can reconstruct
a field correctly is to have all the changes in the history, and you might
need those options in some data migrations later on (for example, if you've
set custom validators).

Backend Support
===============

Migrations are supported on all backends that Django ships with, as well
as any third-party backends if they have programmed in support for schema
alteration (done via the :doc:`SchemaEditor </ref/schema-editor>` class).

However, some databases are more capable than others when it comes to
schema migrations; some of the caveats are covered below.

PostgreSQL
----------

PostgreSQL is the most capable of all the databases here in terms of schema
support; the only caveat is that adding columns with default values will
cause a full rewrite of the table, for a time proportional to its size.

For this reason, it's recommended you always create new columns with
``null=True``, as this way they will be added immediately.

MySQL
-----

MySQL lacks support for transactions around schema alteration operations,
meaning that if a migration fails to apply you will have to manually unpick
the changes in order to try again (it's impossible to roll back to an
earlier point).

In addition, MySQL will fully rewrite tables for almost every schema operation
and generally takes a time proportional to the number of rows in the table to
add or remove columns. On slower hardware this can be worse than a minute per
million rows - adding a few columns to a table with just a few million rows
could lock your site up for over ten minutes.

Finally, MySQL has relatively small limits on name lengths for columns, tables
and indexes, as well as a limit on the combined size of all columns an index
covers. This means that indexes that are possible on other backends will
fail to be created under MySQL.

SQLite
------

SQLite has very little built-in schema alteration support, and so Django
attempts to emulate it by:

* Creating a new table with the new schema
* Copying the data across
* Dropping the old table
* Renaming the new table to match the original name

This process generally works well, but it can be slow and occasionally
buggy. It is not recommended that you run and migrate SQLite in a
production environment unless you are very aware of the risks and
its limitations; the support Django ships with is designed to allow
developers to use SQLite on their local machines to develop less complex
Django projects without the need for a full database.

Workflow
========

Working with migrations is simple. Make changes to your models - say, add
a field and remove a model - and then run :djadmin:`makemigrations`::

    $ python manage.py makemigrations
    Migrations for 'books':
      books/migrations/0003_auto.py:
        - Alter field author on book

Your models will be scanned and compared to the versions currently
contained in your migration files, and then a new set of migrations
will be written out. Make sure to read the output to see what
``makemigrations`` thinks you have changed - it's not perfect, and for
complex changes it might not be detecting what you expect.

Once you have your new migration files, you should apply them to your
database to make sure they work as expected::

    $ python manage.py migrate
    Operations to perform:
      Apply all migrations: books
    Running migrations:
      Rendering model states... DONE
      Applying books.0003_auto... OK

Once the migration is applied, commit the migration and the models change
to your version control system as a single commit - that way, when other
developers (or your production servers) check out the code, they'll
get both the changes to your models and the accompanying migration at the
same time.

If you want to give the migration(s) a meaningful name instead of a generated
one, you can use the :option:`makemigrations --name` option::

    $ python manage.py makemigrations --name changed_my_model your_app_label

Version control
---------------

Because migrations are stored in version control, you'll occasionally
come across situations where you and another developer have both committed
a migration to the same app at the same time, resulting in two migrations
with the same number.

Don't worry - the numbers are just there for developers' reference, Django
just cares that each migration has a different name. Migrations specify which
other migrations they depend on - including earlier migrations in the same
app - in the file, so it's possible to detect when there's two new migrations
for the same app that aren't ordered.

When this happens, Django will prompt you and give you some options. If it
thinks it's safe enough, it will offer to automatically linearize the two
migrations for you. If not, you'll have to go in and modify the migrations
yourself - don't worry, this isn't difficult, and is explained more in
:ref:`migration-files` below.

Dependencies
============

While migrations are per-app, the tables and relationships implied by
your models are too complex to be created for just one app at a time. When
you make a migration that requires something else to run - for example,
you add a ``ForeignKey`` in your ``books`` app to your ``authors`` app - the
resulting migration will contain a dependency on a migration in ``authors``.

This means that when you run the migrations, the ``authors`` migration runs
first and creates the table the ``ForeignKey`` references, and then the migration
that makes the ``ForeignKey`` column runs afterwards and creates the constraint.
If this didn't happen, the migration would try to create the ``ForeignKey``
column without the table it's referencing existing and your database would
throw an error.

This dependency behavior affects most migration operations where you
restrict to a single app. Restricting to a single app (either in
``makemigrations`` or ``migrate``) is a best-efforts promise, and not
a guarantee; any other apps that need to be used to get dependencies correct
will be.

.. _migration-files:

Migration files
===============

Migrations are stored as an on-disk format, referred to here as
"migration files". These files are actually just normal Python files with
an agreed-upon object layout, written in a declarative style.

A basic migration file looks like this::

    from django.db import migrations, models

    class Migration(migrations.Migration):

        dependencies = [("migrations", "0001_initial")]

        operations = [
            migrations.DeleteModel("Tribble"),
            migrations.AddField("Author", "rating", models.IntegerField(default=0)),
        ]

What Django looks for when it loads a migration file (as a Python module) is
a subclass of ``django.db.migrations.Migration`` called ``Migration``. It then
inspects this object for four attributes, only two of which are used
most of the time:

* ``dependencies``, a list of migrations this one depends on.
* ``operations``, a list of ``Operation`` classes that define what this
  migration does.

The operations are the key; they are a set of declarative instructions which
tell Django what schema changes need to be made. Django scans them and
builds an in-memory representation of all of the schema changes to all apps,
and uses this to generate the SQL which makes the schema changes.

That in-memory structure is also used to work out what the differences are
between your models and the current state of your migrations; Django runs
through all the changes, in order, on an in-memory set of models to come
up with the state of your models last time you ran ``makemigrations``. It
then uses these models to compare against the ones in your ``models.py`` files
to work out what you have changed.

You should rarely, if ever, need to edit migration files by hand, but
it's entirely possible to write them manually if you need to. Some of the
more complex operations are not autodetectable and are only available via
a hand-written migration, so don't be scared about editing them if you have to.

Custom fields
-------------

You can't modify the number of positional arguments in an already migrated
custom field without raising a ``TypeError``. The old migration will call the
modified ``__init__`` method with the old signature. So if you need a new
argument, please create a keyword argument and add something like
``assert 'argument_name' in kwargs`` in the constructor.

.. _using-managers-in-migrations:

Model managers
--------------

You can optionally serialize managers into migrations and have them available
in :class:`~django.db.migrations.operations.RunPython` operations. This is done
by defining a ``use_in_migrations`` attribute on the manager class::

    class MyManager(models.Manager):
        use_in_migrations = True

    class MyModel(models.Model):
        objects = MyManager()

If you are using the :meth:`~django.db.models.from_queryset` function to
dynamically generate a manager class, you need to inherit from the generated
class to make it importable::

    class MyManager(MyBaseManager.from_queryset(CustomQuerySet)):
        use_in_migrations = True

    class MyModel(models.Model):
        objects = MyManager()

Please refer to the notes about :ref:`historical-models` in migrations to see
the implications that come along.

Initial migrations
------------------

.. attribute:: Migration.initial

The "initial migrations" for an app are the migrations that create the first
version of that app's tables. Usually an app will have just one initial
migration, but in some cases of complex model interdependencies it may have two
or more.

Initial migrations are marked with an ``initial = True`` class attribute on the
migration class. If an ``initial`` class attribute isn't found, a migration
will be considered "initial" if it is the first migration in the app (i.e. if
it has no dependencies on any other migration in the same app).

When the :option:`migrate --fake-initial` option is used, these initial
migrations are treated specially. For an initial migration that creates one or
more tables (``CreateModel`` operation), Django checks that all of those tables
already exist in the database and fake-applies the migration if so. Similarly,
for an initial migration that adds one or more fields (``AddField`` operation),
Django checks that all of the respective columns already exist in the database
and fake-applies the migration if so. Without ``--fake-initial``, initial
migrations are treated no differently from any other migration.

.. _migration-history-consistency:

History consistency
-------------------

As previously discussed, you may need to linearize migrations manually when two
development branches are joined. While editing migration dependencies, you can
inadvertently create an inconsistent history state where a migration has been
applied but some of its dependencies haven't. This is a strong indication that
the dependencies are incorrect, so Django will refuse to run migrations or make
new migrations until it's fixed. When using multiple databases, you can use the
:meth:`allow_migrate` method of :ref:`database routers
<topics-db-multi-db-routing>` to control which databases
:djadmin:`makemigrations` checks for consistent history.

Adding migrations to apps
=========================

Adding migrations to new apps is straightforward - they come preconfigured to
accept migrations, and so just run :djadmin:`makemigrations` once you've made
some changes.

If your app already has models and database tables, and doesn't have migrations
yet (for example, you created it against a previous Django version), you'll
need to convert it to use migrations; this is a simple process::

    $ python manage.py makemigrations your_app_label

This will make a new initial migration for your app. Now, run ``python
manage.py migrate --fake-initial``, and Django will detect that you have an
initial migration *and* that the tables it wants to create already exist, and
will mark the migration as already applied. (Without the :option:`migrate
--fake-initial` flag, the command would error out because the tables it wants
to create already exist.)

Note that this only works given two things:

* You have not changed your models since you made their tables. For migrations
  to work, you must make the initial migration *first* and then make changes,
  as Django compares changes against migration files, not the database.

* You have not manually edited your database - Django won't be able to detect
  that your database doesn't match your models, you'll just get errors when
  migrations try to modify those tables.

.. _historical-models:

Historical models
=================

When you run migrations, Django is working from historical versions of your
models stored in the migration files. If you write Python code using the
:class:`~django.db.migrations.operations.RunPython` operation, or if you have
``allow_migrate`` methods on your database routers, you will be exposed to
these versions of your models.

Because it's impossible to serialize arbitrary Python code, these historical
models will not have any custom methods that you have defined. They will,
however, have the same fields, relationships, managers (limited to those with
``use_in_migrations = True``) and ``Meta`` options (also versioned, so they may
be different from your current ones).

.. warning::

  This means that you will NOT have custom ``save()`` methods called on objects
  when you access them in migrations, and you will NOT have any custom
  constructors or instance methods. Plan appropriately!

References to functions in field options such as ``upload_to`` and
``limit_choices_to`` and model manager declarations with managers having
``use_in_migrations = True`` are serialized in migrations, so the functions and
classes will need to be kept around for as long as there is a migration
referencing them. Any :doc:`custom model fields </howto/custom-model-fields>`
will also need to be kept, since these are imported directly by migrations.

In addition, the base classes of the model are just stored as pointers, so you
must always keep base classes around for as long as there is a migration that
contains a reference to them. On the plus side, methods and managers from these
base classes inherit normally, so if you absolutely need access to these you
can opt to move them into a superclass.

To remove old references, you can :ref:`squash migrations <migration-squashing>`
or, if there aren't many references, copy them into the migration files.

.. _migrations-removing-model-fields:

Considerations when removing model fields
=========================================

Similar to the "references to historical functions" considerations described in
the previous section, removing custom model fields from your project or
third-party app will cause a problem if they are referenced in old migrations.

To help with this situation, Django provides some model field attributes to
assist with model field deprecation using the :doc:`system checks framework
</topics/checks>`.

Add the ``system_check_deprecated_details`` attribute to your model field
similar to the following::

    class IPAddressField(Field):
        system_check_deprecated_details = {
            'msg': (
                'IPAddressField has been deprecated. Support for it (except '
                'in historical migrations) will be removed in Django 1.9.'
            ),
            'hint': 'Use GenericIPAddressField instead.',  # optional
            'id': 'fields.W900',  # pick a unique ID for your field.
        }

After a deprecation period of your choosing (two or three feature releases for
fields in Django itself), change the ``system_check_deprecated_details``
attribute to ``system_check_removed_details`` and update the dictionary similar
to::

    class IPAddressField(Field):
        system_check_removed_details = {
            'msg': (
                'IPAddressField has been removed except for support in '
                'historical migrations.'
            ),
            'hint': 'Use GenericIPAddressField instead.',
            'id': 'fields.E900',  # pick a unique ID for your field.
        }

You should keep the field's methods that are required for it to operate in
database migrations such as ``__init__()``, ``deconstruct()``, and
``get_internal_type()``. Keep this stub field for as long as any migrations
which reference the field exist. For example, after squashing migrations and
removing the old ones, you should be able to remove the field completely.

.. _data-migrations:

Data Migrations
===============

As well as changing the database schema, you can also use migrations to change
the data in the database itself, in conjunction with the schema if you want.

Migrations that alter data are usually called "data migrations"; they're best
written as separate migrations, sitting alongside your schema migrations.

Django can't automatically generate data migrations for you, as it does with
schema migrations, but it's not very hard to write them. Migration files in
Django are made up of :doc:`Operations </ref/migration-operations>`, and
the main operation you use for data migrations is
:class:`~django.db.migrations.operations.RunPython`.

To start, make an empty migration file you can work from (Django will put
the file in the right place, suggest a name, and add dependencies for you)::

    python manage.py makemigrations --empty yourappname

Then, open up the file; it should look something like this::

    # Generated by Django A.B on YYYY-MM-DD HH:MM
    from django.db import migrations

    class Migration(migrations.Migration):
        initial = True

        dependencies = [
            ('yourappname', '0001_initial'),
        ]

        operations = [
        ]

Now, all you need to do is create a new function and have
:class:`~django.db.migrations.operations.RunPython` use it.
:class:`~django.db.migrations.operations.RunPython` expects a callable as its argument
which takes two arguments - the first is an :doc:`app registry
</ref/applications/>` that has the historical versions of all your models
loaded into it to match where in your history the migration sits, and the
second is a :doc:`SchemaEditor </ref/schema-editor>`, which you can use to
manually effect database schema changes (but beware, doing this can confuse
the migration autodetector!)

Let's write a simple migration that populates our new ``name`` field with the
combined values of ``first_name`` and ``last_name`` (we've come to our senses
and realized that not everyone has first and last names). All we
need to do is use the historical model and iterate over the rows::

    from django.db import migrations

    def combine_names(apps, schema_editor):
        # We can't import the Person model directly as it may be a newer
        # version than this migration expects. We use the historical version.
        Person = apps.get_model("yourappname", "Person")
        for person in Person.objects.all():
            person.name = "%s %s" % (person.first_name, person.last_name)
            person.save()

    class Migration(migrations.Migration):
        initial = True

        dependencies = [
            ('yourappname', '0001_initial'),
        ]

        operations = [
            migrations.RunPython(combine_names),
        ]

Once that's done, we can just run ``python manage.py migrate`` as normal and
the data migration will run in place alongside other migrations.

You can pass a second callable to
:class:`~django.db.migrations.operations.RunPython` to run whatever logic you
want executed when migrating backwards. If this callable is omitted, migrating
backwards will raise an exception.

Accessing models from other apps
--------------------------------

When writing a ``RunPython`` function that uses models from apps other than the
one in which the migration is located, the migration's ``dependencies``
attribute should include the latest migration of each app that is involved,
otherwise you may get an error similar to: ``LookupError: No installed app
with label 'myappname'`` when you try to retrieve the model in the ``RunPython``
function using ``apps.get_model()``.

In the following example, we have a migration in ``app1`` which needs to use
models in ``app2``. We aren't concerned with the details of ``move_m1`` other
than the fact it will need to access models from both apps. Therefore we've
added a dependency that specifies the last migration of ``app2``::

    class Migration(migrations.Migration):

        dependencies = [
            ('app1', '0001_initial'),
            # added dependency to enable using models from app2 in move_m1
            ('app2', '0004_foobar'),
        ]

        operations = [
            migrations.RunPython(move_m1),
        ]

More advanced migrations
------------------------

If you're interested in the more advanced migration operations, or want
to be able to write your own, see the :doc:`migration operations reference
</ref/migration-operations>` and the "how-to" on :doc:`writing migrations
</howto/writing-migrations>`.

.. _migration-squashing:

Squashing migrations
====================

You are encouraged to make migrations freely and not worry about how many you
have; the migration code is optimized to deal with hundreds at a time without
much slowdown. However, eventually you will want to move back from having
several hundred migrations to just a few, and that's where squashing comes in.

Squashing is the act of reducing an existing set of many migrations down to
one (or sometimes a few) migrations which still represent the same changes.

Django does this by taking all of your existing migrations, extracting their
``Operation``\s and putting them all in sequence, and then running an optimizer
over them to try and reduce the length of the list - for example, it knows
that :class:`~django.db.migrations.operations.CreateModel` and
:class:`~django.db.migrations.operations.DeleteModel` cancel each other out,
and it knows that :class:`~django.db.migrations.operations.AddField` can be
rolled into :class:`~django.db.migrations.operations.CreateModel`.

Once the operation sequence has been reduced as much as possible - the amount
possible depends on how closely intertwined your models are and if you have
any :class:`~django.db.migrations.operations.RunSQL`
or :class:`~django.db.migrations.operations.RunPython` operations (which can't
be optimized through unless they are marked as ``elidable``) - Django will then
write it back out into a new set of migration files.

These files are marked to say they replace the previously-squashed migrations,
so they can coexist with the old migration files, and Django will intelligently
switch between them depending where you are in the history. If you're still
part-way through the set of migrations that you squashed, it will keep using
them until it hits the end and then switch to the squashed history, while new
installs will just use the new squashed migration and skip all the old ones.

This enables you to squash and not mess up systems currently in production
that aren't fully up-to-date yet. The recommended process is to squash, keeping
the old files, commit and release, wait until all systems are upgraded with
the new release (or if you're a third-party project, just ensure your users
upgrade releases in order without skipping any), and then remove the old files,
commit and do a second release.

The command that backs all this is :djadmin:`squashmigrations` - just pass
it the app label and migration name you want to squash up to, and it'll get to
work::

  $ ./manage.py squashmigrations myapp 0004
  Will squash the following migrations:
   - 0001_initial
   - 0002_some_change
   - 0003_another_change
   - 0004_undo_something
  Do you wish to proceed? [yN] y
  Optimizing...
    Optimized from 12 operations to 7 operations.
  Created new squashed migration /home/andrew/Programs/DjangoTest/test/migrations/0001_squashed_0004_undo_somthing.py
    You should commit this migration but leave the old ones in place;
    the new migration will be used for new installs. Once you are sure
    all instances of the codebase have applied the migrations you squashed,
    you can delete them.

Note that model interdependencies in Django can get very complex, and squashing
may result in migrations that do not run; either mis-optimized (in which case
you can try again with ``--no-optimize``, though you should also report an issue),
or with a ``CircularDependencyError``, in which case you can manually resolve it.

To manually resolve a ``CircularDependencyError``, break out one of
the ForeignKeys in the circular dependency loop into a separate
migration, and move the dependency on the other app with it. If you're unsure,
see how makemigrations deals with the problem when asked to create brand
new migrations from your models. In a future release of Django, squashmigrations
will be updated to attempt to resolve these errors itself.

Once you've squashed your migration, you should then commit it alongside the
migrations it replaces and distribute this change to all running instances
of your application, making sure that they run ``migrate`` to store the change
in their database.

You must then transition the squashed migration to a normal migration by:

- Deleting all the migration files it replaces.
- Updating all migrations that depend on the deleted migrations to depend on
  the squashed migration instead.
- Removing the ``replaces`` attribute in the ``Migration`` class of the
  squashed migration (this is how Django tells that it is a squashed migration).

.. note::
    Once you've squashed a migration, you should not then re-squash that squashed
    migration until you have fully transitioned it to a normal migration.


.. _migration-serializing:

Serializing values
==================

Migrations are just Python files containing the old definitions of your models
- thus, to write them, Django must take the current state of your models and
serialize them out into a file.

While Django can serialize most things, there are some things that we just
can't serialize out into a valid Python representation - there's no Python
standard for how a value can be turned back into code (``repr()`` only works
for basic values, and doesn't specify import paths).

Django can serialize the following:

- ``int``, ``float``, ``bool``, ``str``, ``bytes``, ``None``
- ``list``, ``set``, ``tuple``, ``dict``
- ``datetime.date``, ``datetime.time``, and ``datetime.datetime`` instances
  (include those that are timezone-aware)
- ``decimal.Decimal`` instances
- ``enum.Enum`` instances
- ``uuid.UUID`` instances
- ``functools.partial`` instances which have serializable ``func``, ``args``,
  and ``keywords`` values.
- ``LazyObject`` instances which wrap a serializable value.
- Any Django field
- Any function or method reference (e.g. ``datetime.datetime.today``) (must be in module's top-level scope)
- Unbound methods used from within the class body
- Any class reference (must be in module's top-level scope)
- Anything with a custom ``deconstruct()`` method (:ref:`see below <custom-deconstruct-method>`)

.. versionchanged:: 1.11

    Serialization support for ``uuid.UUID`` was added.

Django cannot serialize:

- Nested classes
- Arbitrary class instances (e.g. ``MyClass(4.3, 5.7)``)
- Lambdas

.. _custom-deconstruct-method:

Adding a ``deconstruct()`` method
---------------------------------

You can let Django serialize your own custom class instances by giving the class
a ``deconstruct()`` method. It takes no arguments, and should return a tuple
of three things ``(path, args, kwargs)``:

* ``path`` should be the Python path to the class, with the class name included
  as the last part (for example, ``myapp.custom_things.MyClass``). If your
  class is not available at the top level of a module it is not serializable.

* ``args`` should be a list of positional arguments to pass to your class'
  ``__init__`` method. Everything in this list should itself be serializable.

* ``kwargs`` should be a dict of keyword arguments to pass to your class'
  ``__init__`` method. Every value should itself be serializable.

.. note::

    This return value is different from the ``deconstruct()`` method
    :ref:`for custom fields <custom-field-deconstruct-method>` which returns a
    tuple of four items.

Django will write out the value as an instantiation of your class with the
given arguments, similar to the way it writes out references to Django fields.

To prevent a new migration from being created each time
:djadmin:`makemigrations` is run, you should also add a ``__eq__()`` method to
the decorated class. This function will be called by Django's migration
framework to detect changes between states.

As long as all of the arguments to your class' constructor are themselves
serializable, you can use the ``@deconstructible`` class decorator from
``django.utils.deconstruct`` to add the ``deconstruct()`` method::

    from django.utils.deconstruct import deconstructible

    @deconstructible
    class MyCustomClass(object):

        def __init__(self, foo=1):
            self.foo = foo
            ...

        def __eq__(self, other):
            return self.foo == other.foo


The decorator adds logic to capture and preserve the arguments on their
way into your constructor, and then returns those arguments exactly when
deconstruct() is called.

Supporting multiple Django versions
===================================

If you are the maintainer of a third-party app with models, you may need to
ship migrations that support multiple Django versions. In this case, you should
always run :djadmin:`makemigrations` **with the lowest Django version you wish
to support**.

The migrations system will maintain backwards-compatibility according to the
same policy as the rest of Django, so migration files generated on Django X.Y
should run unchanged on Django X.Y+1. The migrations system does not promise
forwards-compatibility, however. New features may be added, and migration files
generated with newer versions of Django may not work on older versions.

.. seealso::

    :doc:`The Migrations Operations Reference </ref/migration-operations>`
        Covers the schema operations API, special operations, and writing your
        own operations.

    :doc:`The Writing Migrations "how-to" </howto/writing-migrations>`
        Explains how to structure and write database migrations for different
        scenarios you might encounter.