def cursor (self, fetchsize = None):
        "Return a psycopg2 Cursor object for operating on the connection."

        if fetchsize:
            # Tell psycopg2 to create a server-side cursor so that it will
            # return the results in batches of the indicated size instead of
            # retrieving all results on the first fetch.

            #name = some unique, valid cursor name
            #curs = pgConnection.cursor (self, name)
            #curs.itersize = fetchsize
            raise NotImplementedError ('Need algorithm for unique cursor name.')
        else:
            curs = pgConnection.cursor (self)

        return curs

 def cursor(self):
     # DictCursor allows for both integer and key based row access
     return _2connection.cursor(self, cursor_factory=DictCursor)

 def cursor(self):
     """cursor() -> new psycopg 1.1.x compatible cursor object"""
     return _2connection.cursor(self, cursor_factory=cursor)

 def cursor(self, *args, **kwargs):
     # type: (*Any, **Any) -> TimeTrackingCursor
     kwargs.setdefault('cursor_factory', TimeTrackingCursor)
     return connection.cursor(self, *args, **kwargs)

 def cursor(self, name=None):
     if name is None:
         return _connection.cursor(self, cursor_factory=DictCursor)
     else:
         return _connection.cursor(self, name, cursor_factory=DictCursor)

 def cursor(self):
     return _connection.cursor(self, cursor_factory=DictCursor)

 def cursor(self, *args, **kwargs):
     kwargs['cursor_factory'] = NamedTupleCursor
     return _connection.cursor(self, *args, **kwargs)