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710 lines
27 KiB
Plaintext
=====================
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Database transactions
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=====================
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.. module:: django.db.transaction
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Django gives you a few ways to control how database transactions are managed.
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Managing database transactions
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==============================
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Django's default transaction behavior
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-------------------------------------
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Django's default behavior is to run in autocommit mode. Each query is
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immediately committed to the database, unless a transaction is active.
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:ref:`See below for details <autocommit-details>`.
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Django uses transactions or savepoints automatically to guarantee the
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integrity of ORM operations that require multiple queries, especially
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:ref:`delete() <topics-db-queries-delete>` and :ref:`update()
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<topics-db-queries-update>` queries.
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Django's :class:`~django.test.TestCase` class also wraps each test in a
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transaction for performance reasons.
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.. _tying-transactions-to-http-requests:
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Tying transactions to HTTP requests
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-----------------------------------
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A common way to handle transactions on the web is to wrap each request in a
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transaction. Set :setting:`ATOMIC_REQUESTS <DATABASE-ATOMIC_REQUESTS>` to
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``True`` in the configuration of each database for which you want to enable
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this behavior.
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It works like this. Before calling a view function, Django starts a
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transaction. If the response is produced without problems, Django commits the
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transaction. If the view produces an exception, Django rolls back the
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transaction.
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You may perform subtransactions using savepoints in your view code, typically
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with the :func:`atomic` context manager. However, at the end of the view,
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either all or none of the changes will be committed.
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.. warning::
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While the simplicity of this transaction model is appealing, it also makes it
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inefficient when traffic increases. Opening a transaction for every view has
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some overhead. The impact on performance depends on the query patterns of your
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application and on how well your database handles locking.
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.. admonition:: Per-request transactions and streaming responses
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When a view returns a :class:`~django.http.StreamingHttpResponse`, reading
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the contents of the response will often execute code to generate the
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content. Since the view has already returned, such code runs outside of
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the transaction.
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Generally speaking, it isn't advisable to write to the database while
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generating a streaming response, since there's no sensible way to handle
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errors after starting to send the response.
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In practice, this feature wraps every view function in the :func:`atomic`
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decorator described below.
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Note that only the execution of your view is enclosed in the transactions.
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Middleware runs outside of the transaction, and so does the rendering of
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template responses.
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When :setting:`ATOMIC_REQUESTS <DATABASE-ATOMIC_REQUESTS>` is enabled, it's
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still possible to prevent views from running in a transaction.
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.. function:: non_atomic_requests(using=None)
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This decorator will negate the effect of :setting:`ATOMIC_REQUESTS
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<DATABASE-ATOMIC_REQUESTS>` for a given view::
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from django.db import transaction
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@transaction.non_atomic_requests
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def my_view(request):
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do_stuff()
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@transaction.non_atomic_requests(using="other")
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def my_other_view(request):
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do_stuff_on_the_other_database()
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It only works if it's applied to the view itself.
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Controlling transactions explicitly
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-----------------------------------
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Django provides a single API to control database transactions.
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.. function:: atomic(using=None, savepoint=True, durable=False)
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Atomicity is the defining property of database transactions. ``atomic``
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allows us to create a block of code within which the atomicity on the
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database is guaranteed. If the block of code is successfully completed, the
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changes are committed to the database. If there is an exception, the
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changes are rolled back.
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``atomic`` blocks can be nested. In this case, when an inner block
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completes successfully, its effects can still be rolled back if an
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exception is raised in the outer block at a later point.
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It is sometimes useful to ensure an ``atomic`` block is always the
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outermost ``atomic`` block, ensuring that any database changes are
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committed when the block is exited without errors. This is known as
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durability and can be achieved by setting ``durable=True``. If the
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``atomic`` block is nested within another it raises a ``RuntimeError``.
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``atomic`` is usable both as a :py:term:`decorator`::
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from django.db import transaction
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@transaction.atomic
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def viewfunc(request):
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# This code executes inside a transaction.
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do_stuff()
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and as a :py:term:`context manager`::
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from django.db import transaction
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def viewfunc(request):
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# This code executes in autocommit mode (Django's default).
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do_stuff()
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with transaction.atomic():
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# This code executes inside a transaction.
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do_more_stuff()
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Wrapping ``atomic`` in a try/except block allows for natural handling of
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integrity errors::
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from django.db import IntegrityError, transaction
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@transaction.atomic
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def viewfunc(request):
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create_parent()
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try:
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with transaction.atomic():
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generate_relationships()
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except IntegrityError:
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handle_exception()
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add_children()
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In this example, even if ``generate_relationships()`` causes a database
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error by breaking an integrity constraint, you can execute queries in
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``add_children()``, and the changes from ``create_parent()`` are still
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there and bound to the same transaction. Note that any operations attempted
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in ``generate_relationships()`` will already have been rolled back safely
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when ``handle_exception()`` is called, so the exception handler can also
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operate on the database if necessary.
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.. admonition:: Avoid catching exceptions inside ``atomic``!
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When exiting an ``atomic`` block, Django looks at whether it's exited
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normally or with an exception to determine whether to commit or roll
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back. If you catch and handle exceptions inside an ``atomic`` block,
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you may hide from Django the fact that a problem has happened. This
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can result in unexpected behavior.
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This is mostly a concern for :exc:`~django.db.DatabaseError` and its
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subclasses such as :exc:`~django.db.IntegrityError`. After such an
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error, the transaction is broken and Django will perform a rollback at
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the end of the ``atomic`` block. If you attempt to run database
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queries before the rollback happens, Django will raise a
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:class:`~django.db.transaction.TransactionManagementError`. You may
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also encounter this behavior when an ORM-related signal handler raises
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an exception.
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The correct way to catch database errors is around an ``atomic`` block
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as shown above. If necessary, add an extra ``atomic`` block for this
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purpose. This pattern has another advantage: it delimits explicitly
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which operations will be rolled back if an exception occurs.
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If you catch exceptions raised by raw SQL queries, Django's behavior
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is unspecified and database-dependent.
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.. admonition:: You may need to manually revert model state when rolling back a transaction.
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The values of a model's fields won't be reverted when a transaction
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rollback happens. This could lead to an inconsistent model state unless
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you manually restore the original field values.
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For example, given ``MyModel`` with an ``active`` field, this snippet
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ensures that the ``if obj.active`` check at the end uses the correct
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value if updating ``active`` to ``True`` fails in the transaction::
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from django.db import DatabaseError, transaction
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obj = MyModel(active=False)
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obj.active = True
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try:
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with transaction.atomic():
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obj.save()
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except DatabaseError:
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obj.active = False
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if obj.active:
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...
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In order to guarantee atomicity, ``atomic`` disables some APIs. Attempting
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to commit, roll back, or change the autocommit state of the database
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connection within an ``atomic`` block will raise an exception.
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``atomic`` takes a ``using`` argument which should be the name of a
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database. If this argument isn't provided, Django uses the ``"default"``
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database.
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Under the hood, Django's transaction management code:
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- opens a transaction when entering the outermost ``atomic`` block;
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- creates a savepoint when entering an inner ``atomic`` block;
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- releases or rolls back to the savepoint when exiting an inner block;
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- commits or rolls back the transaction when exiting the outermost block.
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You can disable the creation of savepoints for inner blocks by setting the
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``savepoint`` argument to ``False``. If an exception occurs, Django will
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perform the rollback when exiting the first parent block with a savepoint
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if there is one, and the outermost block otherwise. Atomicity is still
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guaranteed by the outer transaction. This option should only be used if
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the overhead of savepoints is noticeable. It has the drawback of breaking
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the error handling described above.
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You may use ``atomic`` when autocommit is turned off. It will only use
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savepoints, even for the outermost block.
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.. admonition:: Performance considerations
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Open transactions have a performance cost for your database server. To
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minimize this overhead, keep your transactions as short as possible. This
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is especially important if you're using :func:`atomic` in long-running
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processes, outside of Django's request / response cycle.
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.. versionchanged:: 4.1
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In older versions, the durability check was disabled in
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:class:`django.test.TestCase`.
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Autocommit
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==========
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.. _autocommit-details:
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Why Django uses autocommit
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--------------------------
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In the SQL standards, each SQL query starts a transaction, unless one is
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already active. Such transactions must then be explicitly committed or rolled
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back.
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This isn't always convenient for application developers. To alleviate this
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problem, most databases provide an autocommit mode. When autocommit is turned
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on and no transaction is active, each SQL query gets wrapped in its own
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transaction. In other words, not only does each such query start a
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transaction, but the transaction also gets automatically committed or rolled
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back, depending on whether the query succeeded.
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:pep:`249`, the Python Database API Specification v2.0, requires autocommit to
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be initially turned off. Django overrides this default and turns autocommit
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on.
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To avoid this, you can :ref:`deactivate the transaction management
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<deactivate-transaction-management>`, but it isn't recommended.
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.. _deactivate-transaction-management:
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Deactivating transaction management
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-----------------------------------
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You can totally disable Django's transaction management for a given database
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by setting :setting:`AUTOCOMMIT <DATABASE-AUTOCOMMIT>` to ``False`` in its
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configuration. If you do this, Django won't enable autocommit, and won't
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perform any commits. You'll get the regular behavior of the underlying
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database library.
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This requires you to commit explicitly every transaction, even those started
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by Django or by third-party libraries. Thus, this is best used in situations
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where you want to run your own transaction-controlling middleware or do
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something really strange.
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Performing actions after commit
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===============================
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Sometimes you need to perform an action related to the current database
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transaction, but only if the transaction successfully commits. Examples might
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include a background task, an email notification, or a cache invalidation.
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:func:`on_commit` allows you to register callbacks that will be executed after
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the open transaction is successfully committed:
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.. function:: on_commit(func, using=None, robust=False)
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Pass a function, or any callable, to :func:`on_commit`::
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from django.db import transaction
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def send_welcome_email():
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...
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transaction.on_commit(send_welcome_email)
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Callbacks will not be passed any arguments, but you can bind them with
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:func:`functools.partial`::
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from functools import partial
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for user in users:
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transaction.on_commit(partial(send_invite_email, user=user))
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Callbacks are called after the open transaction is successfully committed. If
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the transaction is instead rolled back (typically when an unhandled exception
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is raised in an :func:`atomic` block), the callback will be discarded, and
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never called.
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If you call ``on_commit()`` while there isn't an open transaction,
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the callback will be executed immediately.
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It's sometimes useful to register callbacks that can fail. Passing
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``robust=True`` allows the next callbacks to be executed even if the current
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one throws an exception. All errors derived from Python's ``Exception`` class
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are caught and logged to the ``django.db.backends.base`` logger.
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You can use :meth:`.TestCase.captureOnCommitCallbacks` to test callbacks
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registered with :func:`on_commit`.
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.. versionchanged:: 4.2
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The ``robust`` argument was added.
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Savepoints
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----------
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Savepoints (i.e. nested :func:`atomic` blocks) are handled correctly. That is,
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an :func:`on_commit` callable registered after a savepoint (in a nested
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:func:`atomic` block) will be called after the outer transaction is committed,
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but not if a rollback to that savepoint or any previous savepoint occurred
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during the transaction::
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with transaction.atomic(): # Outer atomic, start a new transaction
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transaction.on_commit(foo)
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with transaction.atomic(): # Inner atomic block, create a savepoint
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transaction.on_commit(bar)
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# foo() and then bar() will be called when leaving the outermost block
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On the other hand, when a savepoint is rolled back (due to an exception being
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raised), the inner callable will not be called::
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with transaction.atomic(): # Outer atomic, start a new transaction
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transaction.on_commit(foo)
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try:
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with transaction.atomic(): # Inner atomic block, create a savepoint
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transaction.on_commit(bar)
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raise SomeError() # Raising an exception - abort the savepoint
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except SomeError:
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pass
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# foo() will be called, but not bar()
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Order of execution
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------------------
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On-commit functions for a given transaction are executed in the order they were
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registered.
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Exception handling
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------------------
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If one on-commit function registered with ``robust=False`` within a given
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transaction raises an uncaught exception, no later registered functions in that
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same transaction will run. This is the same behavior as if you'd executed the
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functions sequentially yourself without :func:`on_commit`.
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.. versionchanged:: 4.2
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The ``robust`` argument was added.
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Timing of execution
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-------------------
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Your callbacks are executed *after* a successful commit, so a failure in a
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callback will not cause the transaction to roll back. They are executed
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conditionally upon the success of the transaction, but they are not *part* of
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the transaction. For the intended use cases (mail notifications, background
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tasks, etc.), this should be fine. If it's not (if your follow-up action is so
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critical that its failure should mean the failure of the transaction itself),
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then you don't want to use the :func:`on_commit` hook. Instead, you may want
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`two-phase commit`_ such as the :ref:`psycopg Two-Phase Commit protocol support
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<psycopg:two-phase-commit>` and the :pep:`optional Two-Phase Commit Extensions
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in the Python DB-API specification <249#optional-two-phase-commit-extensions>`.
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Callbacks are not run until autocommit is restored on the connection following
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the commit (because otherwise any queries done in a callback would open an
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implicit transaction, preventing the connection from going back into autocommit
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mode).
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When in autocommit mode and outside of an :func:`atomic` block, the function
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will run immediately, not on commit.
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On-commit functions only work with :ref:`autocommit mode <managing-autocommit>`
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and the :func:`atomic` (or :setting:`ATOMIC_REQUESTS
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<DATABASE-ATOMIC_REQUESTS>`) transaction API. Calling :func:`on_commit` when
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autocommit is disabled and you are not within an atomic block will result in an
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error.
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.. _two-phase commit: https://en.wikipedia.org/wiki/Two-phase_commit_protocol
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Use in tests
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------------
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Django's :class:`~django.test.TestCase` class wraps each test in a transaction
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and rolls back that transaction after each test, in order to provide test
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isolation. This means that no transaction is ever actually committed, thus your
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:func:`on_commit` callbacks will never be run.
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You can overcome this limitation by using
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:meth:`.TestCase.captureOnCommitCallbacks`. This captures your
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:func:`on_commit` callbacks in a list, allowing you to make assertions on them,
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or emulate the transaction committing by calling them.
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Another way to overcome the limitation is to use
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:class:`~django.test.TransactionTestCase` instead of
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:class:`~django.test.TestCase`. This will mean your transactions are committed,
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and the callbacks will run. However
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:class:`~django.test.TransactionTestCase` flushes the database between tests,
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which is significantly slower than :class:`~django.test.TestCase`\'s isolation.
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Why no rollback hook?
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---------------------
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A rollback hook is harder to implement robustly than a commit hook, since a
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variety of things can cause an implicit rollback.
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For instance, if your database connection is dropped because your process was
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killed without a chance to shut down gracefully, your rollback hook will never
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run.
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But there is a solution: instead of doing something during the atomic block
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(transaction) and then undoing it if the transaction fails, use
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:func:`on_commit` to delay doing it in the first place until after the
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transaction succeeds. It's a lot easier to undo something you never did in the
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first place!
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Low-level APIs
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==============
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.. warning::
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Always prefer :func:`atomic` if possible at all. It accounts for the
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idiosyncrasies of each database and prevents invalid operations.
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The low level APIs are only useful if you're implementing your own
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transaction management.
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.. _managing-autocommit:
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Autocommit
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----------
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Django provides an API in the :mod:`django.db.transaction` module to manage the
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autocommit state of each database connection.
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.. function:: get_autocommit(using=None)
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.. function:: set_autocommit(autocommit, using=None)
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These functions take a ``using`` argument which should be the name of a
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database. If it isn't provided, Django uses the ``"default"`` database.
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Autocommit is initially turned on. If you turn it off, it's your
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responsibility to restore it.
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Once you turn autocommit off, you get the default behavior of your database
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adapter, and Django won't help you. Although that behavior is specified in
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:pep:`249`, implementations of adapters aren't always consistent with one
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another. Review the documentation of the adapter you're using carefully.
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You must ensure that no transaction is active, usually by issuing a
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:func:`commit` or a :func:`rollback`, before turning autocommit back on.
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Django will refuse to turn autocommit off when an :func:`atomic` block is
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active, because that would break atomicity.
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Transactions
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------------
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A transaction is an atomic set of database queries. Even if your program
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crashes, the database guarantees that either all the changes will be applied,
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or none of them.
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Django doesn't provide an API to start a transaction. The expected way to
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start a transaction is to disable autocommit with :func:`set_autocommit`.
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Once you're in a transaction, you can choose either to apply the changes
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you've performed until this point with :func:`commit`, or to cancel them with
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:func:`rollback`. These functions are defined in :mod:`django.db.transaction`.
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.. function:: commit(using=None)
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.. function:: rollback(using=None)
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These functions take a ``using`` argument which should be the name of a
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database. If it isn't provided, Django uses the ``"default"`` database.
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Django will refuse to commit or to rollback when an :func:`atomic` block is
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active, because that would break atomicity.
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.. _topics-db-transactions-savepoints:
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Savepoints
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----------
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A savepoint is a marker within a transaction that enables you to roll back
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part of a transaction, rather than the full transaction. Savepoints are
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available with the SQLite, PostgreSQL, Oracle, and MySQL (when using the InnoDB
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storage engine) backends. Other backends provide the savepoint functions, but
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they're empty operations -- they don't actually do anything.
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Savepoints aren't especially useful if you are using autocommit, the default
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behavior of Django. However, once you open a transaction with :func:`atomic`,
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you build up a series of database operations awaiting a commit or rollback. If
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you issue a rollback, the entire transaction is rolled back. Savepoints
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provide the ability to perform a fine-grained rollback, rather than the full
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rollback that would be performed by ``transaction.rollback()``.
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When the :func:`atomic` decorator is nested, it creates a savepoint to allow
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partial commit or rollback. You're strongly encouraged to use :func:`atomic`
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rather than the functions described below, but they're still part of the
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public API, and there's no plan to deprecate them.
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Each of these functions takes a ``using`` argument which should be the name of
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a database for which the behavior applies. If no ``using`` argument is
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provided then the ``"default"`` database is used.
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Savepoints are controlled by three functions in :mod:`django.db.transaction`:
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.. function:: savepoint(using=None)
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Creates a new savepoint. This marks a point in the transaction that is
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known to be in a "good" state. Returns the savepoint ID (``sid``).
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.. function:: savepoint_commit(sid, using=None)
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Releases savepoint ``sid``. The changes performed since the savepoint was
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created become part of the transaction.
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.. function:: savepoint_rollback(sid, using=None)
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Rolls back the transaction to savepoint ``sid``.
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These functions do nothing if savepoints aren't supported or if the database
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is in autocommit mode.
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In addition, there's a utility function:
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.. function:: clean_savepoints(using=None)
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Resets the counter used to generate unique savepoint IDs.
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The following example demonstrates the use of savepoints::
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from django.db import transaction
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# open a transaction
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@transaction.atomic
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def viewfunc(request):
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a.save()
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# transaction now contains a.save()
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sid = transaction.savepoint()
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b.save()
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# transaction now contains a.save() and b.save()
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if want_to_keep_b:
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transaction.savepoint_commit(sid)
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# open transaction still contains a.save() and b.save()
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else:
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transaction.savepoint_rollback(sid)
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# open transaction now contains only a.save()
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Savepoints may be used to recover from a database error by performing a partial
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rollback. If you're doing this inside an :func:`atomic` block, the entire block
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will still be rolled back, because it doesn't know you've handled the situation
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at a lower level! To prevent this, you can control the rollback behavior with
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the following functions.
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.. function:: get_rollback(using=None)
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.. function:: set_rollback(rollback, using=None)
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Setting the rollback flag to ``True`` forces a rollback when exiting the
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innermost atomic block. This may be useful to trigger a rollback without
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raising an exception.
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Setting it to ``False`` prevents such a rollback. Before doing that, make sure
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you've rolled back the transaction to a known-good savepoint within the current
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atomic block! Otherwise you're breaking atomicity and data corruption may
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occur.
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Database-specific notes
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=======================
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.. _savepoints-in-sqlite:
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Savepoints in SQLite
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--------------------
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While SQLite supports savepoints, a flaw in the design of the :mod:`sqlite3`
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module makes them hardly usable.
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When autocommit is enabled, savepoints don't make sense. When it's disabled,
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:mod:`sqlite3` commits implicitly before savepoint statements. (In fact, it
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commits before any statement other than ``SELECT``, ``INSERT``, ``UPDATE``,
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``DELETE`` and ``REPLACE``.) This bug has two consequences:
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- The low level APIs for savepoints are only usable inside a transaction i.e.
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inside an :func:`atomic` block.
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- It's impossible to use :func:`atomic` when autocommit is turned off.
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Transactions in MySQL
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---------------------
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If you're using MySQL, your tables may or may not support transactions; it
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depends on your MySQL version and the table types you're using. (By
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"table types," we mean something like "InnoDB" or "MyISAM".) MySQL transaction
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peculiarities are outside the scope of this article, but the MySQL site has
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`information on MySQL transactions`_.
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If your MySQL setup does *not* support transactions, then Django will always
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function in autocommit mode: statements will be executed and committed as soon
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as they're called. If your MySQL setup *does* support transactions, Django
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will handle transactions as explained in this document.
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.. _information on MySQL transactions: https://dev.mysql.com/doc/refman/en/sql-transactional-statements.html
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Handling exceptions within PostgreSQL transactions
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--------------------------------------------------
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.. note::
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This section is relevant only if you're implementing your own transaction
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management. This problem cannot occur in Django's default mode and
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:func:`atomic` handles it automatically.
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Inside a transaction, when a call to a PostgreSQL cursor raises an exception
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(typically ``IntegrityError``), all subsequent SQL in the same transaction
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will fail with the error "current transaction is aborted, queries ignored
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until end of transaction block". While the basic use of ``save()`` is unlikely
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to raise an exception in PostgreSQL, there are more advanced usage patterns
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which might, such as saving objects with unique fields, saving using the
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force_insert/force_update flag, or invoking custom SQL.
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There are several ways to recover from this sort of error.
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Transaction rollback
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~~~~~~~~~~~~~~~~~~~~
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The first option is to roll back the entire transaction. For example::
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a.save() # Succeeds, but may be undone by transaction rollback
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try:
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b.save() # Could throw exception
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except IntegrityError:
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transaction.rollback()
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c.save() # Succeeds, but a.save() may have been undone
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Calling ``transaction.rollback()`` rolls back the entire transaction. Any
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uncommitted database operations will be lost. In this example, the changes
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made by ``a.save()`` would be lost, even though that operation raised no error
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itself.
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Savepoint rollback
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~~~~~~~~~~~~~~~~~~
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You can use :ref:`savepoints <topics-db-transactions-savepoints>` to control
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the extent of a rollback. Before performing a database operation that could
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fail, you can set or update the savepoint; that way, if the operation fails,
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you can roll back the single offending operation, rather than the entire
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transaction. For example::
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a.save() # Succeeds, and never undone by savepoint rollback
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sid = transaction.savepoint()
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try:
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b.save() # Could throw exception
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transaction.savepoint_commit(sid)
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except IntegrityError:
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transaction.savepoint_rollback(sid)
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c.save() # Succeeds, and a.save() is never undone
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In this example, ``a.save()`` will not be undone in the case where
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``b.save()`` raises an exception.
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