Refs #25759 -- Documented customizing expressions' SQL on other databases.
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@ -261,6 +261,28 @@ The ``Func`` API is as follows:
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different number of expressions, ``TypeError`` will be raised. Defaults
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to ``None``.
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.. method:: as_sql(compiler, connection, function=None, template=None)
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Generates the SQL for the database function.
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The ``as_vendor()`` methods should use the ``function`` and
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``template`` parameters to customize the SQL as needed. For example:
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.. snippet::
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:filename: django/db/models/functions.py
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class ConcatPair(Func):
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...
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function = 'CONCAT'
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...
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def as_mysql(self, compiler, connection):
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return super(ConcatPair, self).as_sql(
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compiler, connection,
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function='CONCAT_WS',
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template="%(function)s('', %(expressions)s)",
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)
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The ``*expressions`` argument is a list of positional expressions that the
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function will be applied to. The expressions will be converted to strings,
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joined together with ``arg_joiner``, and then interpolated into the ``template``
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@ -560,7 +582,7 @@ an ``__init__()`` method to set some attributes::
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class Coalesce(Expression):
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template = 'COALESCE( %(expressions)s )'
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def __init__(self, expressions, output_field, **extra):
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def __init__(self, expressions, output_field):
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super(Coalesce, self).__init__(output_field=output_field)
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if len(expressions) < 2:
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raise ValueError('expressions must have at least 2 elements')
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@ -568,7 +590,6 @@ an ``__init__()`` method to set some attributes::
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if not hasattr(expression, 'resolve_expression'):
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raise TypeError('%r is not an Expression' % expression)
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self.expressions = expressions
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self.extra = extra
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We do some basic validation on the parameters, including requiring at least
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2 columns or values, and ensuring they are expressions. We are requiring
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@ -588,22 +609,30 @@ expressions::
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Next, we write the method responsible for generating the SQL::
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def as_sql(self, compiler, connection):
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def as_sql(self, compiler, connection, template=None):
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sql_expressions, sql_params = [], []
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for expression in self.expressions:
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sql, params = compiler.compile(expression)
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sql_expressions.append(sql)
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sql_params.extend(params)
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self.extra['expressions'] = ','.join(sql_expressions)
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return self.template % self.extra, sql_params
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template = template or self.template
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data = {'expressions': ','.join(sql_expressions)}
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return template % data, params
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def as_oracle(self, compiler, connection):
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"""
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Example of vendor specific handling (Oracle in this case).
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Let's make the function name lowercase.
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"""
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self.template = 'coalesce( %(expressions)s )'
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return self.as_sql(compiler, connection)
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return self.as_sql(compiler, connection, template='coalesce( %(expressions)s )')
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``as_sql()`` methods can support custom keyword arguments, allowing
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``as_vendorname()`` methods to override data used to generate the SQL string.
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Using ``as_sql()`` keyword arguments for customization is preferable to
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mutating ``self`` within ``as_vendorname()`` methods as the latter can lead to
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errors when running on different database backends. If your class relies on
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class attributes to define data, consider allowing overrides in your
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``as_sql()`` method.
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We generate the SQL for each of the ``expressions`` by using the
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``compiler.compile()`` method, and join the result together with commas.
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@ -94,6 +94,11 @@ following methods:
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``compiler.compile(expression)`` should be used. The ``compiler.compile()``
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method will take care of calling vendor-specific methods of the expression.
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Custom keyword arguments may be defined on this method if it's likely that
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``as_vendorname()`` methods or subclasses will need to supply data to
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override the generation of the SQL string. See :meth:`Func.as_sql` for
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example usage.
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.. method:: as_vendorname(self, compiler, connection)
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Works like ``as_sql()`` method. When an expression is compiled by
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