The :class:`.Index` construct allows these to be specified via the
``postgresql_ops`` keyword argument::
- Index('my_index', my_table.c.id, my_table.c.data,
- postgresql_ops={
- 'data': 'text_pattern_ops',
- 'id': 'int4_ops'
- })
-
-.. versionadded:: 0.7.2
- ``postgresql_ops`` keyword argument to :class:`.Index` construct.
+ Index(
+ 'my_index', my_table.c.id, my_table.c.data,
+ postgresql_ops={
+ 'data': 'text_pattern_ops',
+ 'id': 'int4_ops'
+ })
Note that the keys in the ``postgresql_ops`` dictionary are the "key" name of
the :class:`.Column`, i.e. the name used to access it from the ``.c``
collection of :class:`.Table`, which can be configured to be different than
the actual name of the column as expressed in the database.
+If ``postgresql_ops`` is to be used against a complex SQL expression such
+as a function call, then to apply to the column it must be given a label
+that is identified in the dictionary by name, e.g.::
+
+ Index(
+ 'my_index', my_table.c.id,
+ func.lower(my_table.c.data).label('data_lower'),
+ postgresql_ops={
+ 'data_lower': 'text_pattern_ops',
+ 'id': 'int4_ops'
+ })
+
+
Index Types
^^^^^^^^^^^^
'(data text_pattern_ops, data2 int4_ops)',
dialect=postgresql.dialect())
+ def test_create_index_with_labeled_ops(self):
+ m = MetaData()
+ tbl = Table('testtbl', m,
+ Column('data', String),
+ Column('data2', Integer, key='d2'))
+
+ idx = Index('test_idx1', func.lower(tbl.c.data).label('data_lower'),
+ postgresql_ops={'data_lower': 'text_pattern_ops'})
+
+ idx2 = Index(
+ 'test_idx2',
+ (func.xyz(tbl.c.data) + tbl.c.d2).label('bar'),
+ tbl.c.d2.label('foo'),
+ postgresql_ops={'bar': 'text_pattern_ops',
+ 'foo': 'int4_ops'})
+
+ self.assert_compile(schema.CreateIndex(idx),
+ 'CREATE INDEX test_idx1 ON testtbl '
+ '(lower(data) text_pattern_ops)',
+ dialect=postgresql.dialect())
+ self.assert_compile(schema.CreateIndex(idx2),
+ 'CREATE INDEX test_idx2 ON testtbl '
+ '((xyz(data) + data2) text_pattern_ops, '
+ 'data2 int4_ops)',
+ dialect=postgresql.dialect())
+
def test_create_index_with_text_or_composite(self):
m = MetaData()
tbl = Table('testtbl', m,