code: def fetch_result_sets(cls, db, datasource_type):
          
          result_set_df = db.get_df(
              """SELECT table_schema, table_name FROM INFORMATION_SCHEMA.{}S
                 ORDER BY concat(table_schema, '.', table_name)""".format(
                  datasource_type.upper(),
              ),
              None)
          result_sets = []
          for unused, row in result_set_df.iterrows():
              result_sets.append('{}.{}'.format(
                  row['table_schema'], row['table_name']))
          return result_sets
docs: Returns a list of tables [schema1.table1, schema2.table2, ...]
  
          Datasource_type can be 'table' or 'view'.
          Empty schema corresponds to the list of full names of the all
          tables or views: <schema>.<result_set_name>.