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571 lines
21 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. :ref:`See below for details
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<autocommit-details>`.
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..
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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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.. versionchanged:: 1.6
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Previous version of Django featured :ref:`a more complicated default
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behavior <transactions-upgrading-from-1.5>`.
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Tying transactions to HTTP requests
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-----------------------------------
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The recommended way to handle transactions in Web requests is to tie them to
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the request and response phases via Django's ``TransactionMiddleware``.
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It works like this. When a request starts, Django starts a transaction. If the
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response is produced without problems, Django commits any pending transactions.
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If the view function produces an exception, Django rolls back any pending
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transactions.
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To activate this feature, just add the ``TransactionMiddleware`` middleware to
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your :setting:`MIDDLEWARE_CLASSES` setting::
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MIDDLEWARE_CLASSES = (
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'django.middleware.cache.UpdateCacheMiddleware',
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'django.contrib.sessions.middleware.SessionMiddleware',
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'django.middleware.common.CommonMiddleware',
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'django.middleware.transaction.TransactionMiddleware',
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'django.middleware.cache.FetchFromCacheMiddleware',
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)
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The order is quite important. The transaction middleware applies not only to
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view functions, but also for all middleware modules that come after it. So if
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you use the session middleware after the transaction middleware, session
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creation will be part of the transaction.
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The various cache middlewares are an exception: ``CacheMiddleware``,
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:class:`~django.middleware.cache.UpdateCacheMiddleware`, and
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:class:`~django.middleware.cache.FetchFromCacheMiddleware` are never affected.
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Even when using database caching, Django's cache backend uses its own database
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connection internally.
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.. note::
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The ``TransactionMiddleware`` only affects the database aliased
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as "default" within your :setting:`DATABASES` setting. If you are using
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multiple databases and want transaction control over databases other than
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"default", you will need to write your own transaction middleware.
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Controlling transactions explicitly
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-----------------------------------
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.. versionadded:: 1.6
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Django provides a single API to control database transactions.
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.. function:: atomic(using=None)
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This function creates an atomic block for writes to the database.
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(Atomicity is the defining property of database transactions.)
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When the block completes successfully, the changes are committed to the
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database. When it raises an exception, the changes are rolled back.
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``atomic`` can be nested. In this case, when an inner block completes
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successfully, its effects can still be rolled back if an exception is
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raised in the outer block at a later point.
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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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``atomic`` is usable both as a `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 `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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.. _decorator: http://docs.python.org/glossary.html#term-decorator
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.. _context manager: http://docs.python.org/glossary.html#term-context-manager
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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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do_stuff()
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try:
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with transaction.atomic():
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do_stuff_that_could_fail()
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except IntegrityError:
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handle_exception()
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do_more_stuff()
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In this example, even if ``do_stuff_that_could_fail()`` causes a database
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error by breaking an integrity constraint, you can execute queries in
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``do_more_stuff()``, and the changes from ``do_stuff()`` are still there.
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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`` can only be used in autocommit mode. It will raise an exception
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if autocommit is turned off.
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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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.. _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 (≥ 3.6.8), PostgreSQL, Oracle and MySQL (when using
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the InnoDB storage engine) backends. Other backends provide the savepoint
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functions, but 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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.. versionchanged:: 1.6
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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 methods on the transaction object:
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.. method:: transaction.savepoint(using=None)
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Creates a new savepoint. This marks a point in the transaction that
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is known to be in a "good" state.
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Returns the savepoint ID (sid).
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.. method:: transaction.savepoint_commit(sid, using=None)
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Updates the savepoint to include any operations that have been performed
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since the savepoint was created, or since the last commit.
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.. method:: transaction.savepoint_rollback(sid, using=None)
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Rolls the transaction back to the last point at which the savepoint was
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committed.
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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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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 in progress. Such transactions must then be committed or rolled 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, each SQL query is wrapped in its own transaction. In other words, the
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transaction is not only automatically started, but also automatically
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committed.
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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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.. versionchanged:: 1.6
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Before Django 1.6, autocommit was turned off, and it was emulated by
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forcing a commit after write operations in the ORM.
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.. warning::
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If you're using the database API directly — for instance, you're running
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SQL queries with ``cursor.execute()`` — be aware that autocommit is on,
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and consider wrapping your operations in a transaction, with
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:func:`atomic`, to ensure consistency.
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.. _managing-autocommit:
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Managing autocommit
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-------------------
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.. versionadded:: 1.6
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Django provides a straightforward API to manage the autocommit state of each
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database connection, if you need to.
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.. function:: get_autocommit(using=None)
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.. function:: set_autocommit(using=None, autocommit=True)
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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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:func:`atomic` requires autocommit to be turned on; it will raise an exception
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if autocommit is off. Django will also refuse to turn autocommit off when an
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:func:`atomic` block is active, because that would break atomicity.
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.. _deactivate-transaction-management:
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Deactivating transaction management
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-----------------------------------
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Control freaks can totally disable all transaction management by setting
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:setting:`TRANSACTIONS_MANAGED` to ``True`` in the Django settings file. If
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you do this, Django won't enable autocommit. You'll get the regular behavior
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of the underlying 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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In almost all situations, you'll be better off using the default behavior, or
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the transaction middleware, and only modify selected functions as needed.
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Database-specific notes
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=======================
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Savepoints in SQLite
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--------------------
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While SQLite ≥ 3.6.8 supports savepoints, a flaw in the design of the
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:mod:`sqlite3` 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-related statement. (It
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commits before any statement other than ``SELECT``, ``INSERT``, ``UPDATE``,
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``DELETE`` and ``REPLACE``.)
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As a consequence, savepoints are only usable inside a transaction ie. inside
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an :func:`atomic` block.
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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 function
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in autocommit mode: Statements will be executed and committed as soon as
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they're called. If your MySQL setup *does* support transactions, Django will
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handle transactions as explained in this document.
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.. _information on MySQL transactions: http://dev.mysql.com/doc/refman/5.0/en/sql-syntax-transactions.html
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Handling exceptions within PostgreSQL transactions
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--------------------------------------------------
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When a call to a PostgreSQL cursor raises an exception (typically
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``IntegrityError``), all subsequent SQL in the same transaction will fail with
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the error "current transaction is aborted, queries ignored until end of
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transaction block". Whilst simple use of ``save()`` is unlikely to raise an
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exception in PostgreSQL, there are more advanced usage patterns which
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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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try:
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sid = transaction.savepoint()
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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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.. _transactions-upgrading-from-1.5:
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Changes from Django 1.5 and earlier
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===================================
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The features described below were deprecated in Django 1.6 and will be removed
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in Django 1.8. They're documented in order to ease the migration to the new
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transaction management APIs.
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Legacy APIs
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-----------
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The following functions, defined in ``django.db.transaction``, provided a way
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to control transactions on a per-function or per-code-block basis. They could
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be used as decorators or as context managers, and they accepted a ``using``
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argument, exactly like :func:`atomic`.
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.. function:: autocommit
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Enable Django's default autocommit behavior.
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Transactions will be committed as soon as you call ``model.save()``,
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``model.delete()``, or any other function that writes to the database.
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.. function:: commit_on_success
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Use a single transaction for all the work done in a function.
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If the function returns successfully, then Django will commit all work done
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within the function at that point. If the function raises an exception,
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though, Django will roll back the transaction.
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.. function:: commit_manually
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Tells Django you'll be managing the transaction on your own.
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Whether you are writing or simply reading from the database, you must
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``commit()`` or ``rollback()`` explicitly or Django will raise a
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:exc:`TransactionManagementError` exception. This is required when reading
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from the database because ``SELECT`` statements may call functions which
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modify tables, and thus it is impossible to know if any data has been
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modified.
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.. _transaction-states:
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Transaction states
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------------------
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The three functions described above relied on a concept called "transaction
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states". This mechanisme was deprecated in Django 1.6, but it's still
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available until Django 1.8..
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At any time, each database connection is in one of these two states:
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- **auto mode**: autocommit is enabled;
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- **managed mode**: autocommit is disabled.
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Django starts in auto mode. ``TransactionMiddleware``,
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:func:`commit_on_success` and :func:`commit_manually` activate managed mode;
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:func:`autocommit` activates auto mode.
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Internally, Django keeps a stack of states. Activations and deactivations must
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be balanced.
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For example, ``commit_on_success`` switches to managed mode when entering the
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block of code it controls; when exiting the block, it commits or rollbacks,
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and switches back to auto mode.
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So :func:`commit_on_success` really has two effects: it changes the
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transaction state and it defines an transaction block. Nesting will give the
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expected results in terms of transaction state, but not in terms of
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transaction semantics. Most often, the inner block will commit, breaking the
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atomicity of the outer block.
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:func:`autocommit` and :func:`commit_manually` have similar limitations.
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API changes
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-----------
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Managing transactions
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~~~~~~~~~~~~~~~~~~~~~
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Starting with Django 1.6, :func:`atomic` is the only supported API for
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defining a transaction. Unlike the deprecated APIs, it's nestable and always
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guarantees atomicity.
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In most cases, it will be a drop-in replacement for :func:`commit_on_success`.
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During the deprecation period, it's possible to use :func:`atomic` within
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:func:`autocommit`, :func:`commit_on_success` or :func:`commit_manually`.
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However, the reverse is forbidden, because nesting the old decorators /
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context managers breaks atomicity.
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If you enter :func:`atomic` while you're in managed mode, it will trigger a
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commit to start from a clean slate.
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Managing autocommit
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~~~~~~~~~~~~~~~~~~~
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Django 1.6 introduces an explicit :ref:`API for mananging autocommit
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<managing-autocommit>`.
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To disable autocommit temporarily, instead of::
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with transaction.commit_manually():
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# do stuff
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you should now use::
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transaction.set_autocommit(autocommit=False)
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try:
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# do stuff
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finally:
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transaction.set_autocommit(autocommit=True)
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To enable autocommit temporarily, instead of::
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with transaction.autocommit():
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# do stuff
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you should now use::
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transaction.set_autocommit(autocommit=True)
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try:
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# do stuff
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finally:
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transaction.set_autocommit(autocommit=False)
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Backwards incompatibilities
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---------------------------
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Since version 1.6, Django uses database-level autocommit in auto mode.
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Previously, it implemented application-level autocommit by triggering a commit
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after each ORM write.
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As a consequence, each database query (for instance, an ORM read) started a
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transaction that lasted until the next ORM write. Such "automatic
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transactions" no longer exist in Django 1.6.
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There are four known scenarios where this is backwards-incompatible.
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Note that managed mode isn't affected at all. This section assumes auto mode.
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See the :ref:`description of modes <transaction-states>` above.
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Sequences of custom SQL queries
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If you're executing several :ref:`custom SQL queries <executing-custom-sql>`
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in a row, each one now runs in its own transaction, instead of sharing the
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same "automatic transaction". If you need to enforce atomicity, you must wrap
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the sequence of queries in :func:`commit_on_success`.
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To check for this problem, look for calls to ``cursor.execute()``. They're
|
|
usually followed by a call to ``transaction.commit_unless_managed``, which
|
|
isn't necessary any more and should be removed.
|
|
|
|
Select for update
|
|
~~~~~~~~~~~~~~~~~
|
|
|
|
If you were relying on "automatic transactions" to provide locking between
|
|
:meth:`~django.db.models.query.QuerySet.select_for_update` and a subsequent
|
|
write operation — an extremely fragile design, but nonetheless possible — you
|
|
must wrap the relevant code in :func:`atomic`.
|
|
|
|
Using a high isolation level
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
If you were using the "repeatable read" isolation level or higher, and if you
|
|
relied on "automatic transactions" to guarantee consistency between successive
|
|
reads, the new behavior might be backwards-incompatible. To enforce
|
|
consistency, you must wrap such sequences in :func:`atomic`.
|
|
|
|
MySQL defaults to "repeatable read" and SQLite to "serializable"; they may be
|
|
affected by this problem.
|
|
|
|
At the "read committed" isolation level or lower, "automatic transactions"
|
|
have no effect on the semantics of any sequence of ORM operations.
|
|
|
|
PostgreSQL and Oracle default to "read committed" and aren't affected, unless
|
|
you changed the isolation level.
|
|
|
|
Using unsupported database features
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
With triggers, views, or functions, it's possible to make ORM reads result in
|
|
database modifications. Django 1.5 and earlier doesn't deal with this case and
|
|
it's theoretically possible to observe a different behavior after upgrading to
|
|
Django 1.6 or later. In doubt, use :func:`atomic` to enforce integrity.
|