Apache Airflow 
Version : 1.10.12

Using HiveServer2Hook with default connection ( assuming that auth_mechanism: PLAIN, but also set as extra to double make sure ) 

The password edit test is left empty, but from hook/ connections code and logs it seems that is not:

from airflow.hooks.base_hook import BaseHook
connection = BaseHook.get_connection('hiveserver2_hadoop_one_umlaut_default')
print(connection.password)

[2020-10-05 09:04:35,396] {base_task_runner.py:113} INFO - Job 20527: Subtask UMLAUT_CT_MASTER_TABLE_LOAD [2020-10-05 09:04:35,395] {base_hook.py:89} INFO - Using connection to: id: hiveserver2_hadoop_one_umlaut_default. Host: 146.11.85.131, Port: 10000, Schema: umlaut, Login: hdfs, **Password: XXXXXXXX**, extra: XXXXXXXX

def log_info(self):
        return ("id: {}. Host: {}, Port: {}, Schema: {}, "
                "Login: {}, Password: {}, extra: {}".
                format(self.conn_id,
                       self.host,
                       self.port,
                       self.schema,
                       self.login,
                       "XXXXXXXX" if self.password else None,
                       "XXXXXXXX" if self.extra_dejson else None))

from latest PyHive, looks like password is not None

https://github.com/dropbox/PyHive/blob/master/pyhive/hive.py

![image](https://user-images.githubusercontent.com/10634077/95061218-49a34f80-0736-11eb-9380-98638884ade3.png)

airflow/providers/apache/hive/hooks/hive.py
self,
        df: pandas.DataFrame,
        table: str,
        field_dict: Optional[Dict[Any, Any]] = None,
        delimiter: str = ',',
        encoding: str = 'utf8',
        pandas_kwargs: Any = None,
        **kwargs: Any,
    ) -> None:
        """
        Loads a pandas DataFrame into hive.
        Hive data types will be inferred if not passed but column names will
        not be sanitized.
        :param df: DataFrame to load into a Hive table
        :type df: pandas.DataFrame
        :param table: target Hive table, use dot notation to target a
            specific database
        :type table: str
        :param field_dict: mapping from column name to hive data type.
            Note that it must be OrderedDict so as to keep columns' order.
        :type field_dict: collections.OrderedDict
        :param delimiter: field delimiter in the file
        :type delimiter: str
        :param encoding: str encoding to use when writing DataFrame to file
        :type encoding: str
        :param pandas_kwargs: passed to DataFrame.to_csv
        :type pandas_kwargs: dict
        :param kwargs: passed to self.load_file
        """
        def _infer_field_types_from_df(df: pandas.DataFrame) -> Dict[Any, Any]: