mirror of https://github.com/django/django.git
773 lines
32 KiB
Plaintext
773 lines
32 KiB
Plaintext
==========
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Migrations
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==========
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.. module:: django.db.migrations
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:synopsis: Schema migration support for Django models
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Migrations are Django's way of propagating changes you make to your models
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(adding a field, deleting a model, etc.) into your database schema. They're
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designed to be mostly automatic, but you'll need to know when to make
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migrations, when to run them, and the common problems you might run into.
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The Commands
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------------
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There are several commands which you will use to interact with migrations
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and Django's handling of database schema:
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* :djadmin:`migrate`, which is responsible for applying migrations, as well as
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unapplying and listing their status.
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* :djadmin:`makemigrations`, which is responsible for creating new migrations
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based on the changes you have made to your models.
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* :djadmin:`sqlmigrate`, which displays the SQL statements for a migration.
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You should think of migrations as a version control system for your database
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schema. ``makemigrations`` is responsible for packaging up your model changes
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into individual migration files - analogous to commits - and ``migrate`` is
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responsible for applying those to your database.
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The migration files for each app live in a "migrations" directory inside
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of that app, and are designed to be committed to, and distributed as part
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of, its codebase. You should be making them once on your development machine
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and then running the same migrations on your colleagues' machines, your
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staging machines, and eventually your production machines.
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.. note::
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It is possible to override the name of the package which contains the
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migrations on a per-app basis by modifying the :setting:`MIGRATION_MODULES`
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setting.
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Migrations will run the same way on the same dataset and produce consistent
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results, meaning that what you see in development and staging is, under the
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same circumstances, exactly what will happen in production.
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Django will make migrations for any change to your models or fields - even
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options that don't affect the database - as the only way it can reconstruct
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a field correctly is to have all the changes in the history, and you might
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need those options in some data migrations later on (for example, if you've
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set custom validators).
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Backend Support
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---------------
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Migrations are supported on all backends that Django ships with, as well
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as any third-party backends if they have programmed in support for schema
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alteration (done via the :doc:`SchemaEditor </ref/schema-editor>` class).
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However, some databases are more capable than others when it comes to
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schema migrations; some of the caveats are covered below.
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PostgreSQL
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~~~~~~~~~~
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PostgreSQL is the most capable of all the databases here in terms of schema
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support; the only caveat is that adding columns with default values will
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cause a full rewrite of the table, for a time proportional to its size.
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For this reason, it's recommended you always create new columns with
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``null=True``, as this way they will be added immediately.
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MySQL
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~~~~~
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MySQL lacks support for transactions around schema alteration operations,
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meaning that if a migration fails to apply you will have to manually unpick
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the changes in order to try again (it's impossible to roll back to an
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earlier point).
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In addition, MySQL will fully rewrite tables for almost every schema operation
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and generally takes a time proportional to the number of rows in the table to
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add or remove columns. On slower hardware this can be worse than a minute per
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million rows - adding a few columns to a table with just a few million rows
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could lock your site up for over ten minutes.
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Finally, MySQL has reasonably small limits on name lengths for columns, tables
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and indexes, as well as a limit on the combined size of all columns an index
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covers. This means that indexes that are possible on other backends will
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fail to be created under MySQL.
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SQLite
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~~~~~~
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SQLite has very little built-in schema alteration support, and so Django
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attempts to emulate it by:
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* Creating a new table with the new schema
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* Copying the data across
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* Dropping the old table
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* Renaming the new table to match the original name
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This process generally works well, but it can be slow and occasionally
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buggy. It is not recommended that you run and migrate SQLite in a
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production environment unless you are very aware of the risks and
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its limitations; the support Django ships with is designed to allow
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developers to use SQLite on their local machines to develop less complex
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Django projects without the need for a full database.
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Workflow
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--------
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Working with migrations is simple. Make changes to your models - say, add
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a field and remove a model - and then run :djadmin:`makemigrations`::
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$ python manage.py makemigrations
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Migrations for 'books':
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0003_auto.py:
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- Alter field author on book
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Your models will be scanned and compared to the versions currently
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contained in your migration files, and then a new set of migrations
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will be written out. Make sure to read the output to see what
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``makemigrations`` thinks you have changed - it's not perfect, and for
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complex changes it might not be detecting what you expect.
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Once you have your new migration files, you should apply them to your
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database to make sure they work as expected::
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$ python manage.py migrate
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Operations to perform:
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Apply all migrations: books
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Running migrations:
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Rendering model states... DONE
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Applying books.0003_auto... OK
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Once the migration is applied, commit the migration and the models change
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to your version control system as a single commit - that way, when other
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developers (or your production servers) check out the code, they'll
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get both the changes to your models and the accompanying migration at the
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same time.
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.. versionadded:: 1.8
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If you want to give the migration(s) a meaningful name instead of a generated
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one, you can use the :djadminopt:`--name` option::
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$ python manage.py makemigrations --name changed_my_model your_app_label
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Version control
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~~~~~~~~~~~~~~~
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Because migrations are stored in version control, you'll occasionally
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come across situations where you and another developer have both committed
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a migration to the same app at the same time, resulting in two migrations
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with the same number.
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Don't worry - the numbers are just there for developers' reference, Django
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just cares that each migration has a different name. Migrations specify which
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other migrations they depend on - including earlier migrations in the same
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app - in the file, so it's possible to detect when there's two new migrations
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for the same app that aren't ordered.
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When this happens, Django will prompt you and give you some options. If it
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thinks it's safe enough, it will offer to automatically linearize the two
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migrations for you. If not, you'll have to go in and modify the migrations
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yourself - don't worry, this isn't difficult, and is explained more in
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:ref:`migration-files` below.
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Dependencies
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------------
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While migrations are per-app, the tables and relationships implied by
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your models are too complex to be created for just one app at a time. When
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you make a migration that requires something else to run - for example,
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you add a ``ForeignKey`` in your ``books`` app to your ``authors`` app - the
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resulting migration will contain a dependency on a migration in ``authors``.
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This means that when you run the migrations, the ``authors`` migration runs
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first and creates the table the ``ForeignKey`` references, and then the migration
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that makes the ``ForeignKey`` column runs afterwards and creates the constraint.
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If this didn't happen, the migration would try to create the ``ForeignKey``
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column without the table it's referencing existing and your database would
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throw an error.
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This dependency behavior affects most migration operations where you
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restrict to a single app. Restricting to a single app (either in
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``makemigrations`` or ``migrate``) is a best-efforts promise, and not
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a guarantee; any other apps that need to be used to get dependencies correct
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will be.
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.. _migration-files:
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Migration files
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---------------
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Migrations are stored as an on-disk format, referred to here as
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"migration files". These files are actually just normal Python files with
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an agreed-upon object layout, written in a declarative style.
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A basic migration file looks like this::
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [("migrations", "0001_initial")]
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operations = [
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migrations.DeleteModel("Tribble"),
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migrations.AddField("Author", "rating", models.IntegerField(default=0)),
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]
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What Django looks for when it loads a migration file (as a Python module) is
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a subclass of ``django.db.migrations.Migration`` called ``Migration``. It then
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inspects this object for four attributes, only two of which are used
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most of the time:
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* ``dependencies``, a list of migrations this one depends on.
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* ``operations``, a list of ``Operation`` classes that define what this
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migration does.
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The operations are the key; they are a set of declarative instructions which
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tell Django what schema changes need to be made. Django scans them and
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builds an in-memory representation of all of the schema changes to all apps,
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and uses this to generate the SQL which makes the schema changes.
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That in-memory structure is also used to work out what the differences are
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between your models and the current state of your migrations; Django runs
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through all the changes, in order, on an in-memory set of models to come
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up with the state of your models last time you ran ``makemigrations``. It
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then uses these models to compare against the ones in your ``models.py`` files
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to work out what you have changed.
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You should rarely, if ever, need to edit migration files by hand, but
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it's entirely possible to write them manually if you need to. Some of the
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more complex operations are not autodetectable and are only available via
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a hand-written migration, so don't be scared about editing them if you have to.
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Custom fields
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~~~~~~~~~~~~~
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You can't modify the number of positional arguments in an already migrated
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custom field without raising a ``TypeError``. The old migration will call the
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modified ``__init__`` method with the old signature. So if you need a new
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argument, please create a keyword argument and add something like
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``assert 'argument_name' in kwargs`` in the constructor.
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.. _using-managers-in-migrations:
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Model managers
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~~~~~~~~~~~~~~
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.. versionadded:: 1.8
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You can optionally serialize managers into migrations and have them available
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in :class:`~django.db.migrations.operations.RunPython` operations. This is done
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by defining a ``use_in_migrations`` attribute on the manager class::
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class MyManager(models.Manager):
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use_in_migrations = True
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class MyModel(models.Model):
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objects = MyManager()
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If you are using the :meth:`~django.db.models.from_queryset` function to
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dynamically generate a manager class, you need to inherit from the generated
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class to make it importable::
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class MyManager(MyBaseManager.from_queryset(CustomQuerySet)):
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use_in_migrations = True
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class MyModel(models.Model):
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objects = MyManager()
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Please refer to the notes about :ref:`historical-models` in migrations to see
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the implications that come along.
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Adding migrations to apps
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-------------------------
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Adding migrations to new apps is straightforward - they come preconfigured to
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accept migrations, and so just run :djadmin:`makemigrations` once you've made
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some changes.
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If your app already has models and database tables, and doesn't have migrations
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yet (for example, you created it against a previous Django version), you'll
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need to convert it to use migrations; this is a simple process::
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$ python manage.py makemigrations your_app_label
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This will make a new initial migration for your app. Now, run ``python
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manage.py migrate --fake-initial``, and Django will detect that you have an
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initial migration *and* that the tables it wants to create already exist, and
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will mark the migration as already applied. (Without the
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:djadminopt:`--fake-initial` flag, the :djadmin:`migrate` command would error
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out because the tables it wants to create already exist.)
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Note that this only works given two things:
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* You have not changed your models since you made their tables. For migrations
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to work, you must make the initial migration *first* and then make changes,
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as Django compares changes against migration files, not the database.
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* You have not manually edited your database - Django won't be able to detect
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that your database doesn't match your models, you'll just get errors when
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migrations try to modify those tables.
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.. versionchanged: 1.8
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The ``--fake-initial`` flag to :djadmin:`migrate` was added. Previously,
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Django would always automatically fake-apply initial migrations if it
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detected that the tables exist.
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.. _historical-models:
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Historical models
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-----------------
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When you run migrations, Django is working from historical versions of your
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models stored in the migration files. If you write Python code using the
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:class:`~django.db.migrations.operations.RunPython` operation, or if you have
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``allow_migrate`` methods on your database routers, you will be exposed to
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these versions of your models.
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Because it's impossible to serialize arbitrary Python code, these historical
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models will not have any custom methods that you have defined. They will,
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however, have the same fields, relationships, managers (limited to those with
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``use_in_migrations = True``) and ``Meta`` options (also versioned, so they may
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be different from your current ones).
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.. warning::
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This means that you will NOT have custom ``save()`` methods called on objects
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when you access them in migrations, and you will NOT have any custom
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constructors or instance methods. Plan appropriately!
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References to functions in field options such as ``upload_to`` and
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``limit_choices_to`` and model manager declarations with managers having
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``use_in_migrations = True`` are serialized in migrations, so the functions and
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classes will need to be kept around for as long as there is a migration
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referencing them. Any :doc:`custom model fields </howto/custom-model-fields>`
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will also need to be kept, since these are imported directly by migrations.
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In addition, the base classes of the model are just stored as pointers, so you
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must always keep base classes around for as long as there is a migration that
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contains a reference to them. On the plus side, methods and managers from these
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base classes inherit normally, so if you absolutely need access to these you
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can opt to move them into a superclass.
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.. _migrations-removing-model-fields:
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Considerations when removing model fields
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-----------------------------------------
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.. versionadded:: 1.8
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Similar to the "references to historical functions" considerations described in
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the previous section, removing custom model fields from your project or
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third-party app will cause a problem if they are referenced in old migrations.
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To help with this situation, Django provides some model field attributes to
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assist with model field deprecation using the :doc:`system checks framework
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</topics/checks>`.
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Add the ``system_check_deprecated_details`` attribute to your model field
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similar to the following::
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class IPAddressField(Field):
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system_check_deprecated_details = {
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'msg': (
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'IPAddressField has been deprecated. Support for it (except '
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'in historical migrations) will be removed in Django 1.9.'
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),
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'hint': 'Use GenericIPAddressField instead.', # optional
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'id': 'fields.W900', # pick a unique ID for your field.
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}
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After a deprecation period of your choosing (two major releases for fields in
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Django itself), change the ``system_check_deprecated_details`` attribute to
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``system_check_removed_details`` and update the dictionary similar to::
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class IPAddressField(Field):
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system_check_removed_details = {
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'msg': (
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'IPAddressField has been removed except for support in '
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'historical migrations.'
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),
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'hint': 'Use GenericIPAddressField instead.',
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'id': 'fields.E900', # pick a unique ID for your field.
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}
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You should keep the field's methods that are required for it to operate in
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database migrations such as ``__init__()``, ``deconstruct()``, and
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``get_internal_type()``. Keep this stub field for as long as any migrations
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which reference the field exist. For example, after squashing migrations and
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removing the old ones, you should be able to remove the field completely.
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.. _data-migrations:
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Data Migrations
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---------------
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As well as changing the database schema, you can also use migrations to change
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the data in the database itself, in conjunction with the schema if you want.
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Migrations that alter data are usually called "data migrations"; they're best
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written as separate migrations, sitting alongside your schema migrations.
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Django can't automatically generate data migrations for you, as it does with
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schema migrations, but it's not very hard to write them. Migration files in
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Django are made up of :doc:`Operations </ref/migration-operations>`, and
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the main operation you use for data migrations is
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:class:`~django.db.migrations.operations.RunPython`.
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To start, make an empty migration file you can work from (Django will put
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the file in the right place, suggest a name, and add dependencies for you)::
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python manage.py makemigrations --empty yourappname
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Then, open up the file; it should look something like this::
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# -*- coding: utf-8 -*-
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from django.db import models, migrations
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class Migration(migrations.Migration):
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dependencies = [
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('yourappname', '0001_initial'),
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]
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operations = [
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]
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Now, all you need to do is create a new function and have
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:class:`~django.db.migrations.operations.RunPython` use it.
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:class:`~django.db.migrations.operations.RunPython` expects a callable as its argument
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which takes two arguments - the first is an :doc:`app registry
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</ref/applications/>` that has the historical versions of all your models
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loaded into it to match where in your history the migration sits, and the
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second is a :doc:`SchemaEditor </ref/schema-editor>`, which you can use to
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manually effect database schema changes (but beware, doing this can confuse
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the migration autodetector!)
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Let's write a simple migration that populates our new ``name`` field with the
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combined values of ``first_name`` and ``last_name`` (we've come to our senses
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and realized that not everyone has first and last names). All we
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need to do is use the historical model and iterate over the rows::
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# -*- coding: utf-8 -*-
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from django.db import models, migrations
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def combine_names(apps, schema_editor):
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# We can't import the Person model directly as it may be a newer
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# version than this migration expects. We use the historical version.
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Person = apps.get_model("yourappname", "Person")
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for person in Person.objects.all():
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person.name = "%s %s" % (person.first_name, person.last_name)
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person.save()
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class Migration(migrations.Migration):
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dependencies = [
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('yourappname', '0001_initial'),
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]
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operations = [
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migrations.RunPython(combine_names),
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]
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Once that's done, we can just run ``python manage.py migrate`` as normal and
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the data migration will run in place alongside other migrations.
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You can pass a second callable to
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:class:`~django.db.migrations.operations.RunPython` to run whatever logic you
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want executed when migrating backwards. If this callable is omitted, migrating
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backwards will raise an exception.
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More advanced migrations
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~~~~~~~~~~~~~~~~~~~~~~~~
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If you're interested in the more advanced migration operations, or want
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to be able to write your own, see the :doc:`migration operations reference
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</ref/migration-operations>` and the "how-to" on :doc:`writing migrations
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</howto/writing-migrations>`.
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.. _migration-squashing:
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Squashing migrations
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--------------------
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You are encouraged to make migrations freely and not worry about how many you
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have; the migration code is optimized to deal with hundreds at a time without
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much slowdown. However, eventually you will want to move back from having
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several hundred migrations to just a few, and that's where squashing comes in.
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Squashing is the act of reducing an existing set of many migrations down to
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one (or sometimes a few) migrations which still represent the same changes.
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Django does this by taking all of your existing migrations, extracting their
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``Operation``\s and putting them all in sequence, and then running an optimizer
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over them to try and reduce the length of the list - for example, it knows
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that :class:`~django.db.migrations.operations.CreateModel` and
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:class:`~django.db.migrations.operations.DeleteModel` cancel each other out,
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and it knows that :class:`~django.db.migrations.operations.AddField` can be
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rolled into :class:`~django.db.migrations.operations.CreateModel`.
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Once the operation sequence has been reduced as much as possible - the amount
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possible depends on how closely intertwined your models are and if you have
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any :class:`~django.db.migrations.operations.RunSQL`
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or :class:`~django.db.migrations.operations.RunPython` operations (which can't
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be optimized through) - Django will then write it back out into a new set of
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initial migration files.
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These files are marked to say they replace the previously-squashed migrations,
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so they can coexist with the old migration files, and Django will intelligently
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switch between them depending where you are in the history. If you're still
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part-way through the set of migrations that you squashed, it will keep using
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them until it hits the end and then switch to the squashed history, while new
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installs will just use the new squashed migration and skip all the old ones.
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This enables you to squash and not mess up systems currently in production
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that aren't fully up-to-date yet. The recommended process is to squash, keeping
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the old files, commit and release, wait until all systems are upgraded with
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the new release (or if you're a third-party project, just ensure your users
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upgrade releases in order without skipping any), and then remove the old files,
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commit and do a second release.
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The command that backs all this is :djadmin:`squashmigrations` - just pass
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it the app label and migration name you want to squash up to, and it'll get to
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work::
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$ ./manage.py squashmigrations myapp 0004
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Will squash the following migrations:
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- 0001_initial
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- 0002_some_change
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- 0003_another_change
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- 0004_undo_something
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Do you wish to proceed? [yN] y
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Optimizing...
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Optimized from 12 operations to 7 operations.
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Created new squashed migration /home/andrew/Programs/DjangoTest/test/migrations/0001_squashed_0004_undo_somthing.py
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You should commit this migration but leave the old ones in place;
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the new migration will be used for new installs. Once you are sure
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all instances of the codebase have applied the migrations you squashed,
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you can delete them.
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Note that model interdependencies in Django can get very complex, and squashing
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may result in migrations that do not run; either mis-optimized (in which case
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you can try again with ``--no-optimize``, though you should also report an issue),
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or with a ``CircularDependencyError``, in which case you can manually resolve it.
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To manually resolve a ``CircularDependencyError``, break out one of
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the ForeignKeys in the circular dependency loop into a separate
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migration, and move the dependency on the other app with it. If you're unsure,
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see how makemigrations deals with the problem when asked to create brand
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new migrations from your models. In a future release of Django, squashmigrations
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will be updated to attempt to resolve these errors itself.
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Once you've squashed your migration, you should then commit it alongside the
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migrations it replaces and distribute this change to all running instances
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of your application, making sure that they run ``migrate`` to store the change
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in their database.
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After this has been done, you must then transition the squashed migration to
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a normal initial migration, by:
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- Deleting all the migration files it replaces
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- Removing the ``replaces`` argument in the ``Migration`` class of the
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squashed migration (this is how Django tells that it is a squashed migration)
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.. note::
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Once you've squashed a migration, you should not then re-squash that squashed
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migration until you have fully transitioned it to a normal migration.
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.. _migration-serializing:
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Serializing values
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------------------
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Migrations are just Python files containing the old definitions of your models
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- thus, to write them, Django must take the current state of your models and
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serialize them out into a file.
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While Django can serialize most things, there are some things that we just
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can't serialize out into a valid Python representation - there's no Python
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standard for how a value can be turned back into code (``repr()`` only works
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for basic values, and doesn't specify import paths).
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Django can serialize the following:
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- ``int``, ``long``, ``float``, ``bool``, ``str``, ``unicode``, ``bytes``, ``None``
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- ``list``, ``set``, ``tuple``, ``dict``
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- ``datetime.date``, ``datetime.time``, and ``datetime.datetime`` instances
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(include those that are timezone-aware)
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- ``decimal.Decimal`` instances
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- Any Django field
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- Any function or method reference (e.g. ``datetime.datetime.today``) (must be in module's top-level scope)
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- Any class reference (must be in module's top-level scope)
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- Anything with a custom ``deconstruct()`` method (:ref:`see below <custom-deconstruct-method>`)
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Django can serialize the following on Python 3 only:
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- Unbound methods used from within the class body (see below)
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Django cannot serialize:
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- Nested classes
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- Arbitrary class instances (e.g. ``MyClass(4.3, 5.7)``)
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- Lambdas
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Due to the fact ``__qualname__`` was only introduced in Python 3, Django can only
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serialize the following pattern (an unbound method used within the class body)
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on Python 3, and will fail to serialize a reference to it on Python 2::
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class MyModel(models.Model):
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def upload_to(self):
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return "something dynamic"
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my_file = models.FileField(upload_to=upload_to)
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If you are using Python 2, we recommend you move your methods for upload_to
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and similar arguments that accept callables (e.g. ``default``) to live in
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the main module body, rather than the class body.
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.. _custom-deconstruct-method:
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Adding a deconstruct() method
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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You can let Django serialize your own custom class instances by giving the class
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a ``deconstruct()`` method. It takes no arguments, and should return a tuple
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of three things ``(path, args, kwargs)``:
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* ``path`` should be the Python path to the class, with the class name included
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as the last part (for example, ``myapp.custom_things.MyClass``). If your
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class is not available at the top level of a module it is not serializable.
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* ``args`` should be a list of positional arguments to pass to your class'
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``__init__`` method. Everything in this list should itself be serializable.
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* ``kwargs`` should be a dict of keyword arguments to pass to your class'
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``__init__`` method. Every value should itself be serializable.
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.. note::
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This return value is different from the ``deconstruct()`` method
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:ref:`for custom fields <custom-field-deconstruct-method>` which returns a
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tuple of four items.
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Django will write out the value as an instantiation of your class with the
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given arguments, similar to the way it writes out references to Django fields.
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To prevent a new migration from being created each time
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:djadmin:`makemigrations` is run, you should also add a ``__eq__()`` method to
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the decorated class. This function will be called by Django's migration
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framework to detect changes between states.
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As long as all of the arguments to your class' constructor are themselves
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serializable, you can use the ``@deconstructible`` class decorator from
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``django.utils.deconstruct`` to add the ``deconstruct()`` method::
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from django.utils.deconstruct import deconstructible
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@deconstructible
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class MyCustomClass(object):
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def __init__(self, foo=1):
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self.foo = foo
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...
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def __eq__(self, other):
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return self.foo == other.foo
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|
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The decorator adds logic to capture and preserve the arguments on their
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way into your constructor, and then returns those arguments exactly when
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deconstruct() is called.
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Supporting Python 2 and 3
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-------------------------
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In order to generate migrations that support both Python 2 and 3, all string
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literals used in your models and fields (e.g. ``verbose_name``,
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``related_name``, etc.), must be consistently either bytestrings or text
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(unicode) strings in both Python 2 and 3 (rather than bytes in Python 2 and
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text in Python 3, the default situation for unmarked string literals.)
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Otherwise running :djadmin:`makemigrations` under Python 3 will generate
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spurious new migrations to convert all these string attributes to text.
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The easiest way to achieve this is to follow the advice in Django's
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:doc:`Python 3 porting guide </topics/python3>` and make sure that all your
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modules begin with ``from __future__ import unicode_literals``, so that all
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unmarked string literals are always unicode, regardless of Python version. When
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you add this to an app with existing migrations generated on Python 2, your
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|
next run of :djadmin:`makemigrations` on Python 3 will likely generate many
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changes as it converts all the bytestring attributes to text strings; this is
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normal and should only happen once.
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Supporting multiple Django versions
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-----------------------------------
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If you are the maintainer of a third-party app with models, you may need to
|
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ship migrations that support multiple Django versions. In this case, you should
|
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always run :djadmin:`makemigrations` **with the lowest Django version you wish
|
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to support**.
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The migrations system will maintain backwards-compatibility according to the
|
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same policy as the rest of Django, so migration files generated on Django X.Y
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should run unchanged on Django X.Y+1. The migrations system does not promise
|
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forwards-compatibility, however. New features may be added, and migration files
|
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generated with newer versions of Django may not work on older versions.
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.. _upgrading-from-south:
|
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Upgrading from South
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|
--------------------
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If you already have pre-existing migrations created with
|
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`South <http://south.aeracode.org>`_, then the upgrade process to use
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|
``django.db.migrations`` is quite simple:
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* Ensure all installs are fully up-to-date with their migrations.
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|
* Remove ``'south'`` from :setting:`INSTALLED_APPS`.
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* Delete all your (numbered) migration files, but not the directory or
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|
``__init__.py`` - make sure you remove the ``.pyc`` files too.
|
|
* Run ``python manage.py makemigrations``. Django should see the empty
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migration directories and make new initial migrations in the new format.
|
|
* Run ``python manage.py migrate --fake-initial``. Django will see that the
|
|
tables for the initial migrations already exist and mark them as applied
|
|
without running them. (Django won't check that the table schema match your
|
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models, just that the right table names exist).
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That's it! The only complication is if you have a circular dependency loop
|
|
of foreign keys; in this case, ``makemigrations`` might make more than one
|
|
initial migration, and you'll need to mark them all as applied using::
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|
python manage.py migrate --fake yourappnamehere
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|
|
.. versionchanged:: 1.8
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|
The :djadminopt:`--fake-initial` flag was added to :djadmin:`migrate`;
|
|
previously, initial migrations were always automatically fake-applied if
|
|
existing tables were detected.
|
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|
|
Libraries/Third-party Apps
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|
~~~~~~~~~~~~~~~~~~~~~~~~~~
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|
If you are a library or app maintainer, and wish to support both South migrations
|
|
(for Django 1.6 and below) and Django migrations (for 1.7 and above) you should
|
|
keep two parallel migration sets in your app, one in each format.
|
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|
|
To aid in this, South 1.0 will automatically look for South-format migrations
|
|
in a ``south_migrations`` directory first, before looking in ``migrations``,
|
|
meaning that users' projects will transparently use the correct set as long
|
|
as you put your South migrations in the ``south_migrations`` directory and
|
|
your Django migrations in the ``migrations`` directory.
|
|
|
|
More information is available in the
|
|
`South 1.0 release notes <http://south.readthedocs.org/en/latest/releasenotes/1.0.html#library-migration-path>`_.
|
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|
|
.. 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.
|