return self
+ def over(self, partition_by=None, order_by=None):
+ """Produce an OVER clause against this filtered function.
+
+ Used against aggregate or so-called "window" functions,
+ for database backends that support window functions.
+
+ The expression::
+
+ func.rank().filter(MyClass.y > 5).over(order_by='x')
+
+ is shorthand for::
+
+ from sqlalchemy import over, funcfilter
+ over(funcfilter(func.rank(), MyClass.y > 5), order_by='x')
+
+ See :func:`~.expression.over` for a full description.
+
+ """
+ return Over(self, partition_by=partition_by, order_by=order_by)
+
@util.memoized_property
def type(self):
return self.func.type
"AS anon_1 FROM mytable"
)
+ # test filtered windowing:
+ self.assert_compile(
+ select([
+ func.rank().filter(
+ table1.c.name > 'foo'
+ ).over(
+ order_by=table1.c.name
+ )
+ ]),
+ "SELECT rank() FILTER (WHERE mytable.name > :name_1) "
+ "OVER (ORDER BY mytable.name) AS anon_1 FROM mytable"
+ )
+
+ self.assert_compile(
+ select([
+ func.rank().filter(
+ table1.c.name > 'foo'
+ ).over(
+ order_by=table1.c.name,
+ partition_by=['description']
+ )
+ ]),
+ "SELECT rank() FILTER (WHERE mytable.name > :name_1) "
+ "OVER (PARTITION BY mytable.description ORDER BY mytable.name) "
+ "AS anon_1 FROM mytable"
+ )
+
def test_date_between(self):
import datetime
table = Table('dt', metadata,