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348 lines
13 KiB
ReStructuredText
.. highlight:: pycon+sql
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.. |prev| replace:: :doc:`data_select`
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.. |next| replace:: :doc:`orm_data_manipulation`
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.. include:: tutorial_nav_include.rst
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.. rst-class:: core-header, orm-addin
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.. _tutorial_core_update_delete:
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Updating and Deleting Rows with Core
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-------------------------------------
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So far we've covered :class:`_sql.Insert`, so that we can get some data into
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our database, and then spent a lot of time on :class:`_sql.Select` which
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handles the broad range of usage patterns used for retrieving data from the
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database. In this section we will cover the :class:`_sql.Update` and
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:class:`_sql.Delete` constructs, which are used to modify existing rows
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as well as delete existing rows. This section will cover these constructs
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from a Core-centric perspective.
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.. container:: orm-header
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**ORM Readers** - As was the case mentioned at :ref:`tutorial_core_insert`,
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the :class:`_sql.Update` and :class:`_sql.Delete` operations when used with
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the ORM are usually invoked internally from the :class:`_orm.Session`
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object as part of the :term:`unit of work` process.
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However, unlike :class:`_sql.Insert`, the :class:`_sql.Update` and
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:class:`_sql.Delete` constructs can also be used directly with the ORM,
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using a pattern known as "ORM-enabled update and delete"; for this reason,
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familiarity with these constructs is useful for ORM use. Both styles of
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use are discussed in the sections :ref:`tutorial_orm_updating` and
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:ref:`tutorial_orm_deleting`.
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.. _tutorial_core_update:
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The update() SQL Expression Construct
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The :func:`_sql.update` function generates a new instance of
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:class:`_sql.Update` which represents an UPDATE statement in SQL, that will
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update existing data in a table.
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Like the :func:`_sql.insert` construct, there is a "traditional" form of
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:func:`_sql.update`, which emits UPDATE against a single table at a time and
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does not return any rows. However some backends support an UPDATE statement
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that may modify multiple tables at once, and the UPDATE statement also
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supports RETURNING such that columns contained in matched rows may be returned
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in the result set.
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A basic UPDATE looks like::
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>>> from sqlalchemy import update
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>>> stmt = (
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... update(user_table)
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... .where(user_table.c.name == "patrick")
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... .values(fullname="Patrick the Star")
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... )
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>>> print(stmt)
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{opensql}UPDATE user_account SET fullname=:fullname WHERE user_account.name = :name_1
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The :meth:`_sql.Update.values` method controls the contents of the SET elements
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of the UPDATE statement. This is the same method shared by the :class:`_sql.Insert`
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construct. Parameters can normally be passed using the column names as
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keyword arguments.
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UPDATE supports all the major SQL forms of UPDATE, including updates against expressions,
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where we can make use of :class:`_schema.Column` expressions::
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>>> stmt = update(user_table).values(fullname="Username: " + user_table.c.name)
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>>> print(stmt)
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{opensql}UPDATE user_account SET fullname=(:name_1 || user_account.name)
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To support UPDATE in an "executemany" context, where many parameter sets will
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be invoked against the same statement, the :func:`_sql.bindparam`
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construct may be used to set up bound parameters; these replace the places
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that literal values would normally go:
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.. sourcecode:: pycon+sql
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>>> from sqlalchemy import bindparam
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>>> stmt = (
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... update(user_table)
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... .where(user_table.c.name == bindparam("oldname"))
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... .values(name=bindparam("newname"))
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... )
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>>> with engine.begin() as conn:
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... conn.execute(
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... stmt,
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... [
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... {"oldname": "jack", "newname": "ed"},
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... {"oldname": "wendy", "newname": "mary"},
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... {"oldname": "jim", "newname": "jake"},
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... ],
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... )
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{opensql}BEGIN (implicit)
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UPDATE user_account SET name=? WHERE user_account.name = ?
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[...] [('ed', 'jack'), ('mary', 'wendy'), ('jake', 'jim')]
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<sqlalchemy.engine.cursor.CursorResult object at 0x...>
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COMMIT{stop}
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Other techniques which may be applied to UPDATE include:
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.. _tutorial_correlated_updates:
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Correlated Updates
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~~~~~~~~~~~~~~~~~~
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An UPDATE statement can make use of rows in other tables by using a
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:ref:`correlated subquery <tutorial_scalar_subquery>`. A subquery may be used
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anywhere a column expression might be placed::
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>>> scalar_subq = (
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... select(address_table.c.email_address)
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... .where(address_table.c.user_id == user_table.c.id)
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... .order_by(address_table.c.id)
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... .limit(1)
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... .scalar_subquery()
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... )
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>>> update_stmt = update(user_table).values(fullname=scalar_subq)
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>>> print(update_stmt)
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{opensql}UPDATE user_account SET fullname=(SELECT address.email_address
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FROM address
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WHERE address.user_id = user_account.id ORDER BY address.id
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LIMIT :param_1)
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.. _tutorial_update_from:
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UPDATE..FROM
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~~~~~~~~~~~~~
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Some databases such as PostgreSQL and MySQL support a syntax "UPDATE FROM"
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where additional tables may be stated directly in a special FROM clause. This
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syntax will be generated implicitly when additional tables are located in the
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WHERE clause of the statement::
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>>> update_stmt = (
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... update(user_table)
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... .where(user_table.c.id == address_table.c.user_id)
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... .where(address_table.c.email_address == "patrick@aol.com")
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... .values(fullname="Pat")
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... )
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>>> print(update_stmt)
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{opensql}UPDATE user_account SET fullname=:fullname FROM address
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WHERE user_account.id = address.user_id AND address.email_address = :email_address_1
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There is also a MySQL specific syntax that can UPDATE multiple tables. This
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requires we refer to :class:`_schema.Table` objects in the VALUES clause in
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order to refer to additional tables::
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>>> update_stmt = (
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... update(user_table)
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... .where(user_table.c.id == address_table.c.user_id)
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... .where(address_table.c.email_address == "patrick@aol.com")
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... .values(
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... {
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... user_table.c.fullname: "Pat",
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... address_table.c.email_address: "pat@aol.com",
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... }
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... )
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... )
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>>> from sqlalchemy.dialects import mysql
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>>> print(update_stmt.compile(dialect=mysql.dialect()))
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{opensql}UPDATE user_account, address
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SET address.email_address=%s, user_account.fullname=%s
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WHERE user_account.id = address.user_id AND address.email_address = %s
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.. _tutorial_parameter_ordered_updates:
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Parameter Ordered Updates
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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Another MySQL-only behavior is that the order of parameters in the SET clause
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of an UPDATE actually impacts the evaluation of each expression. For this use
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case, the :meth:`_sql.Update.ordered_values` method accepts a sequence of
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tuples so that this order may be controlled [2]_::
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>>> update_stmt = update(some_table).ordered_values(
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... (some_table.c.y, 20), (some_table.c.x, some_table.c.y + 10)
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... )
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>>> print(update_stmt)
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{opensql}UPDATE some_table SET y=:y, x=(some_table.y + :y_1)
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.. [2] While Python dictionaries are
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`guaranteed to be insert ordered
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<https://mail.python.org/pipermail/python-dev/2017-December/151283.html>`_
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as of Python 3.7, the
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:meth:`_sql.Update.ordered_values` method still provides an additional
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measure of clarity of intent when it is essential that the SET clause
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of a MySQL UPDATE statement proceed in a specific way.
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.. _tutorial_deletes:
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The delete() SQL Expression Construct
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The :func:`_sql.delete` function generates a new instance of
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:class:`_sql.Delete` which represents a DELETE statement in SQL, that will
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delete rows from a table.
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The :func:`_sql.delete` statement from an API perspective is very similar to
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that of the :func:`_sql.update` construct, traditionally returning no rows but
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allowing for a RETURNING variant on some database backends.
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::
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>>> from sqlalchemy import delete
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>>> stmt = delete(user_table).where(user_table.c.name == "patrick")
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>>> print(stmt)
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{opensql}DELETE FROM user_account WHERE user_account.name = :name_1
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.. _tutorial_multi_table_deletes:
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Multiple Table Deletes
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~~~~~~~~~~~~~~~~~~~~~~
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Like :class:`_sql.Update`, :class:`_sql.Delete` supports the use of correlated
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subqueries in the WHERE clause as well as backend-specific multiple table
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syntaxes, such as ``DELETE FROM..USING`` on MySQL::
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>>> delete_stmt = (
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... delete(user_table)
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... .where(user_table.c.id == address_table.c.user_id)
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... .where(address_table.c.email_address == "patrick@aol.com")
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... )
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>>> from sqlalchemy.dialects import mysql
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>>> print(delete_stmt.compile(dialect=mysql.dialect()))
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{opensql}DELETE FROM user_account USING user_account, address
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WHERE user_account.id = address.user_id AND address.email_address = %s
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.. _tutorial_update_delete_rowcount:
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Getting Affected Row Count from UPDATE, DELETE
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Both :class:`_sql.Update` and :class:`_sql.Delete` support the ability to
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return the number of rows matched after the statement proceeds, for statements
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that are invoked using Core :class:`_engine.Connection`, i.e.
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:meth:`_engine.Connection.execute`. Per the caveats mentioned below, this value
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is available from the :attr:`_engine.CursorResult.rowcount` attribute:
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.. sourcecode:: pycon+sql
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>>> with engine.begin() as conn:
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... result = conn.execute(
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... update(user_table)
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... .values(fullname="Patrick McStar")
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... .where(user_table.c.name == "patrick")
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... )
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... print(result.rowcount)
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{opensql}BEGIN (implicit)
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UPDATE user_account SET fullname=? WHERE user_account.name = ?
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[...] ('Patrick McStar', 'patrick'){stop}
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1
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{opensql}COMMIT{stop}
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.. tip::
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The :class:`_engine.CursorResult` class is a subclass of
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:class:`_engine.Result` which contains additional attributes that are
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specific to the DBAPI ``cursor`` object. An instance of this subclass is
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returned when a statement is invoked via the
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:meth:`_engine.Connection.execute` method. When using the ORM, the
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:meth:`_orm.Session.execute` method returns an object of this type for
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all INSERT, UPDATE, and DELETE statements.
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Facts about :attr:`_engine.CursorResult.rowcount`:
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* The value returned is the number of rows **matched** by the WHERE clause of
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the statement. It does not matter if the row were actually modified or not.
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* :attr:`_engine.CursorResult.rowcount` is not necessarily available for an UPDATE
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or DELETE statement that uses RETURNING.
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* For an :ref:`executemany <tutorial_multiple_parameters>` execution,
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:attr:`_engine.CursorResult.rowcount` may not be available either, which depends
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highly on the DBAPI module in use as well as configured options. The
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attribute :attr:`_engine.CursorResult.supports_sane_multi_rowcount` indicates
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if this value will be available for the current backend in use.
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* Some drivers, particularly third party dialects for non-relational databases,
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may not support :attr:`_engine.CursorResult.rowcount` at all. The
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:attr:`_engine.CursorResult.supports_sane_rowcount` will indicate this.
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* "rowcount" is used by the ORM :term:`unit of work` process to validate that
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an UPDATE or DELETE statement matched the expected number of rows, and is
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also essential for the ORM versioning feature documented at
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:ref:`mapper_version_counter`.
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Using RETURNING with UPDATE, DELETE
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Like the :class:`_sql.Insert` construct, :class:`_sql.Update` and :class:`_sql.Delete`
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also support the RETURNING clause which is added by using the
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:meth:`_sql.Update.returning` and :meth:`_sql.Delete.returning` methods.
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When these methods are used on a backend that supports RETURNING, selected
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columns from all rows that match the WHERE criteria of the statement
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will be returned in the :class:`_engine.Result` object as rows that can
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be iterated::
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>>> update_stmt = (
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... update(user_table)
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... .where(user_table.c.name == "patrick")
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... .values(fullname="Patrick the Star")
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... .returning(user_table.c.id, user_table.c.name)
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... )
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>>> print(update_stmt)
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{opensql}UPDATE user_account SET fullname=:fullname
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WHERE user_account.name = :name_1
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RETURNING user_account.id, user_account.name{stop}
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>>> delete_stmt = (
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... delete(user_table)
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... .where(user_table.c.name == "patrick")
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... .returning(user_table.c.id, user_table.c.name)
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... )
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>>> print(delete_stmt)
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{opensql}DELETE FROM user_account
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WHERE user_account.name = :name_1
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RETURNING user_account.id, user_account.name{stop}
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Further Reading for UPDATE, DELETE
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. seealso::
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API documentation for UPDATE / DELETE:
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* :class:`_sql.Update`
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* :class:`_sql.Delete`
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ORM-enabled UPDATE and DELETE:
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:ref:`orm_expression_update_delete` - in the :ref:`queryguide_toplevel`
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