django/docs/topics/db/transactions.txt

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=====================
Database transactions
=====================
.. module:: django.db.transaction
Django gives you a few ways to control how database transactions are managed.
Managing database transactions
==============================
Django's default transaction behavior
-------------------------------------
Django's default behavior is to run in autocommit mode. Each query is
immediately committed to the database. :ref:`See below for details
<autocommit-details>`.
..
Django uses transactions or savepoints automatically to guarantee the
integrity of ORM operations that require multiple queries, especially
:ref:`delete() <topics-db-queries-delete>` and :ref:`update()
<topics-db-queries-update>` queries.
.. versionchanged:: 1.6
Previous version of Django featured :ref:`a more complicated default
behavior <transactions-upgrading-from-1.5>`.
Tying transactions to HTTP requests
-----------------------------------
The recommended way to handle transactions in Web requests is to tie them to
the request and response phases via Django's ``TransactionMiddleware``.
It works like this. When a request starts, Django starts a transaction. If the
response is produced without problems, Django commits any pending transactions.
If the view function produces an exception, Django rolls back any pending
transactions.
To activate this feature, just add the ``TransactionMiddleware`` middleware to
your :setting:`MIDDLEWARE_CLASSES` setting::
MIDDLEWARE_CLASSES = (
'django.middleware.cache.UpdateCacheMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.transaction.TransactionMiddleware',
'django.middleware.cache.FetchFromCacheMiddleware',
)
The order is quite important. The transaction middleware applies not only to
view functions, but also for all middleware modules that come after it. So if
you use the session middleware after the transaction middleware, session
creation will be part of the transaction.
The various cache middlewares are an exception: ``CacheMiddleware``,
:class:`~django.middleware.cache.UpdateCacheMiddleware`, and
:class:`~django.middleware.cache.FetchFromCacheMiddleware` are never affected.
Even when using database caching, Django's cache backend uses its own database
connection internally.
.. note::
The ``TransactionMiddleware`` only affects the database aliased
as "default" within your :setting:`DATABASES` setting. If you are using
multiple databases and want transaction control over databases other than
"default", you will need to write your own transaction middleware.
Controlling transactions explicitly
-----------------------------------
.. versionadded:: 1.6
Django provides a single API to control database transactions.
.. function:: atomic(using=None)
This function creates an atomic block for writes to the database.
(Atomicity is the defining property of database transactions.)
When the block completes successfully, the changes are committed to the
database. When it raises an exception, the changes are rolled back.
``atomic`` can be nested. In this case, when an inner block completes
successfully, its effects can still be rolled back if an exception is
raised in the outer block at a later point.
``atomic`` takes a ``using`` argument which should be the name of a
database. If this argument isn't provided, Django uses the ``"default"``
database.
``atomic`` is usable both as a `decorator`_::
from django.db import transaction
@transaction.atomic
def viewfunc(request):
# This code executes inside a transaction.
do_stuff()
and as a `context manager`_::
from django.db import transaction
def viewfunc(request):
# This code executes in autocommit mode (Django's default).
do_stuff()
with transaction.atomic():
# This code executes inside a transaction.
do_more_stuff()
.. _decorator: http://docs.python.org/glossary.html#term-decorator
.. _context manager: http://docs.python.org/glossary.html#term-context-manager
Wrapping ``atomic`` in a try/except block allows for natural handling of
integrity errors::
from django.db import IntegrityError, transaction
@transaction.atomic
def viewfunc(request):
do_stuff()
try:
with transaction.atomic():
do_stuff_that_could_fail()
except IntegrityError:
handle_exception()
do_more_stuff()
In this example, even if ``do_stuff_that_could_fail()`` causes a database
error by breaking an integrity constraint, you can execute queries in
``do_more_stuff()``, and the changes from ``do_stuff()`` are still there.
In order to guarantee atomicity, ``atomic`` disables some APIs. Attempting
to commit, roll back, or change the autocommit state of the database
connection within an ``atomic`` block will raise an exception.
``atomic`` can only be used in autocommit mode. It will raise an exception
if autocommit is turned off.
Under the hood, Django's transaction management code:
- opens a transaction when entering the outermost ``atomic`` block;
- creates a savepoint when entering an inner ``atomic`` block;
- releases or rolls back to the savepoint when exiting an inner block;
- commits or rolls back the transaction when exiting the outermost block.
.. _topics-db-transactions-savepoints:
Savepoints
==========
A savepoint is a marker within a transaction that enables you to roll back
part of a transaction, rather than the full transaction. Savepoints are
available with the SQLite (≥ 3.6.8), PostgreSQL, Oracle and MySQL (when using
the InnoDB storage engine) backends. Other backends provide the savepoint
functions, but they're empty operations -- they don't actually do anything.
Savepoints aren't especially useful if you are using autocommit, the default
behavior of Django. However, once you open a transaction with :func:`atomic`,
you build up a series of database operations awaiting a commit or rollback. If
you issue a rollback, the entire transaction is rolled back. Savepoints
provide the ability to perform a fine-grained rollback, rather than the full
rollback that would be performed by ``transaction.rollback()``.
.. versionchanged:: 1.6
When the :func:`atomic` decorator is nested, it creates a savepoint to allow
partial commit or rollback. You're strongly encouraged to use :func:`atomic`
rather than the functions described below, but they're still part of the
public API, and there's no plan to deprecate them.
Each of these functions takes a ``using`` argument which should be the name of
a database for which the behavior applies. If no ``using`` argument is
provided then the ``"default"`` database is used.
Savepoints are controlled by three methods on the transaction object:
.. method:: transaction.savepoint(using=None)
Creates a new savepoint. This marks a point in the transaction that
is known to be in a "good" state.
Returns the savepoint ID (sid).
.. method:: transaction.savepoint_commit(sid, using=None)
Updates the savepoint to include any operations that have been performed
since the savepoint was created, or since the last commit.
.. method:: transaction.savepoint_rollback(sid, using=None)
Rolls the transaction back to the last point at which the savepoint was
committed.
The following example demonstrates the use of savepoints::
from django.db import transaction
# open a transaction
@transaction.atomic
def viewfunc(request):
a.save()
# transaction now contains a.save()
sid = transaction.savepoint()
b.save()
# transaction now contains a.save() and b.save()
if want_to_keep_b:
transaction.savepoint_commit(sid)
# open transaction still contains a.save() and b.save()
else:
transaction.savepoint_rollback(sid)
# open transaction now contains only a.save()
Autocommit
==========
.. _autocommit-details:
Why Django uses autocommit
--------------------------
In the SQL standards, each SQL query starts a transaction, unless one is
already in progress. Such transactions must then be committed or rolled back.
This isn't always convenient for application developers. To alleviate this
problem, most databases provide an autocommit mode. When autocommit is turned
on, each SQL query is wrapped in its own transaction. In other words, the
transaction is not only automatically started, but also automatically
committed.
:pep:`249`, the Python Database API Specification v2.0, requires autocommit to
be initially turned off. Django overrides this default and turns autocommit
on.
To avoid this, you can :ref:`deactivate the transaction management
<deactivate-transaction-management>`, but it isn't recommended.
.. versionchanged:: 1.6
Before Django 1.6, autocommit was turned off, and it was emulated by
forcing a commit after write operations in the ORM.
.. warning::
If you're using the database API directly — for instance, you're running
SQL queries with ``cursor.execute()`` — be aware that autocommit is on,
and consider wrapping your operations in a transaction, with
:func:`atomic`, to ensure consistency.
.. _managing-autocommit:
Managing autocommit
-------------------
.. versionadded:: 1.6
Django provides a straightforward API to manage the autocommit state of each
database connection, if you need to.
.. function:: get_autocommit(using=None)
.. function:: set_autocommit(using=None, autocommit=True)
These functions take a ``using`` argument which should be the name of a
database. If it isn't provided, Django uses the ``"default"`` database.
Autocommit is initially turned on. If you turn it off, it's your
responsibility to restore it.
:func:`atomic` requires autocommit to be turned on; it will raise an exception
if autocommit is off. Django will also refuse to turn autocommit off when an
:func:`atomic` block is active, because that would break atomicity.
.. _deactivate-transaction-management:
Deactivating transaction management
-----------------------------------
Control freaks can totally disable all transaction management by setting
:setting:`TRANSACTIONS_MANAGED` to ``True`` in the Django settings file. If
you do this, Django won't enable autocommit. You'll get the regular behavior
of the underlying database library.
This requires you to commit explicitly every transaction, even those started
by Django or by third-party libraries. Thus, this is best used in situations
where you want to run your own transaction-controlling middleware or do
something really strange.
In almost all situations, you'll be better off using the default behavior, or
the transaction middleware, and only modify selected functions as needed.
Database-specific notes
=======================
Savepoints in SQLite
--------------------
While SQLite ≥ 3.6.8 supports savepoints, a flaw in the design of the
:mod:`sqlite3` makes them hardly usable.
When autocommit is enabled, savepoints don't make sense. When it's disabled,
:mod:`sqlite3` commits implicitly before savepoint-related statement. (It
commits before any statement other than ``SELECT``, ``INSERT``, ``UPDATE``,
``DELETE`` and ``REPLACE``.)
As a consequence, savepoints are only usable inside a transaction ie. inside
an :func:`atomic` block.
Transactions in MySQL
---------------------
If you're using MySQL, your tables may or may not support transactions; it
depends on your MySQL version and the table types you're using. (By
"table types," we mean something like "InnoDB" or "MyISAM".) MySQL transaction
peculiarities are outside the scope of this article, but the MySQL site has
`information on MySQL transactions`_.
If your MySQL setup does *not* support transactions, then Django will function
in autocommit mode: Statements will be executed and committed as soon as
they're called. If your MySQL setup *does* support transactions, Django will
handle transactions as explained in this document.
.. _information on MySQL transactions: http://dev.mysql.com/doc/refman/5.0/en/sql-syntax-transactions.html
Handling exceptions within PostgreSQL transactions
--------------------------------------------------
When a call to a PostgreSQL cursor raises an exception (typically
``IntegrityError``), all subsequent SQL in the same transaction will fail with
the error "current transaction is aborted, queries ignored until end of
transaction block". Whilst simple use of ``save()`` is unlikely to raise an
exception in PostgreSQL, there are more advanced usage patterns which
might, such as saving objects with unique fields, saving using the
force_insert/force_update flag, or invoking custom SQL.
There are several ways to recover from this sort of error.
Transaction rollback
~~~~~~~~~~~~~~~~~~~~
The first option is to roll back the entire transaction. For example::
a.save() # Succeeds, but may be undone by transaction rollback
try:
b.save() # Could throw exception
except IntegrityError:
transaction.rollback()
c.save() # Succeeds, but a.save() may have been undone
Calling ``transaction.rollback()`` rolls back the entire transaction. Any
uncommitted database operations will be lost. In this example, the changes
made by ``a.save()`` would be lost, even though that operation raised no error
itself.
Savepoint rollback
~~~~~~~~~~~~~~~~~~
You can use :ref:`savepoints <topics-db-transactions-savepoints>` to control
the extent of a rollback. Before performing a database operation that could
fail, you can set or update the savepoint; that way, if the operation fails,
you can roll back the single offending operation, rather than the entire
transaction. For example::
a.save() # Succeeds, and never undone by savepoint rollback
try:
sid = transaction.savepoint()
b.save() # Could throw exception
transaction.savepoint_commit(sid)
except IntegrityError:
transaction.savepoint_rollback(sid)
c.save() # Succeeds, and a.save() is never undone
In this example, ``a.save()`` will not be undone in the case where
``b.save()`` raises an exception.
.. _transactions-upgrading-from-1.5:
Changes from Django 1.5 and earlier
===================================
The features described below were deprecated in Django 1.6 and will be removed
in Django 1.8. They're documented in order to ease the migration to the new
transaction management APIs.
Legacy APIs
-----------
The following functions, defined in ``django.db.transaction``, provided a way
to control transactions on a per-function or per-code-block basis. They could
be used as decorators or as context managers, and they accepted a ``using``
argument, exactly like :func:`atomic`.
.. function:: autocommit
Enable Django's default autocommit behavior.
Transactions will be committed as soon as you call ``model.save()``,
``model.delete()``, or any other function that writes to the database.
.. function:: commit_on_success
Use a single transaction for all the work done in a function.
If the function returns successfully, then Django will commit all work done
within the function at that point. If the function raises an exception,
though, Django will roll back the transaction.
.. function:: commit_manually
Tells Django you'll be managing the transaction on your own.
Whether you are writing or simply reading from the database, you must
``commit()`` or ``rollback()`` explicitly or Django will raise a
:exc:`TransactionManagementError` exception. This is required when reading
from the database because ``SELECT`` statements may call functions which
modify tables, and thus it is impossible to know if any data has been
modified.
.. _transaction-states:
Transaction states
------------------
The three functions described above relied on a concept called "transaction
states". This mechanisme was deprecated in Django 1.6, but it's still
available until Django 1.8..
At any time, each database connection is in one of these two states:
- **auto mode**: autocommit is enabled;
- **managed mode**: autocommit is disabled.
Django starts in auto mode. ``TransactionMiddleware``,
:func:`commit_on_success` and :func:`commit_manually` activate managed mode;
:func:`autocommit` activates auto mode.
Internally, Django keeps a stack of states. Activations and deactivations must
be balanced.
For example, ``commit_on_success`` switches to managed mode when entering the
block of code it controls; when exiting the block, it commits or rollbacks,
and switches back to auto mode.
So :func:`commit_on_success` really has two effects: it changes the
transaction state and it defines an transaction block. Nesting will give the
expected results in terms of transaction state, but not in terms of
transaction semantics. Most often, the inner block will commit, breaking the
atomicity of the outer block.
:func:`autocommit` and :func:`commit_manually` have similar limitations.
API changes
-----------
Managing transactions
~~~~~~~~~~~~~~~~~~~~~
Starting with Django 1.6, :func:`atomic` is the only supported API for
defining a transaction. Unlike the deprecated APIs, it's nestable and always
guarantees atomicity.
In most cases, it will be a drop-in replacement for :func:`commit_on_success`.
During the deprecation period, it's possible to use :func:`atomic` within
:func:`autocommit`, :func:`commit_on_success` or :func:`commit_manually`.
However, the reverse is forbidden, because nesting the old decorators /
context managers breaks atomicity.
If you enter :func:`atomic` while you're in managed mode, it will trigger a
commit to start from a clean slate.
Managing autocommit
~~~~~~~~~~~~~~~~~~~
Django 1.6 introduces an explicit :ref:`API for mananging autocommit
<managing-autocommit>`.
To disable autocommit temporarily, instead of::
with transaction.commit_manually():
# do stuff
you should now use::
transaction.set_autocommit(autocommit=False)
try:
# do stuff
finally:
transaction.set_autocommit(autocommit=True)
To enable autocommit temporarily, instead of::
with transaction.autocommit():
# do stuff
you should now use::
transaction.set_autocommit(autocommit=True)
try:
# do stuff
finally:
transaction.set_autocommit(autocommit=False)
Backwards incompatibilities
---------------------------
Since version 1.6, Django uses database-level autocommit in auto mode.
Previously, it implemented application-level autocommit by triggering a commit
after each ORM write.
As a consequence, each database query (for instance, an ORM read) started a
transaction that lasted until the next ORM write. Such "automatic
transactions" no longer exist in Django 1.6.
There are four known scenarios where this is backwards-incompatible.
Note that managed mode isn't affected at all. This section assumes auto mode.
See the :ref:`description of modes <transaction-states>` above.
Sequences of custom SQL queries
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If you're executing several :ref:`custom SQL queries <executing-custom-sql>`
in a row, each one now runs in its own transaction, instead of sharing the
same "automatic transaction". If you need to enforce atomicity, you must wrap
the sequence of queries in :func:`commit_on_success`.
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.