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,
        hql: Union[str, Text],
        schema: str = 'default',
        hive_conf: Optional[Dict[Any, Any]] = None,
        **kwargs,
    ) -> pandas.DataFrame:
        """
        Get a pandas dataframe from a Hive query
        :param hql: hql to be executed.
        :type hql: str or list
        :param schema: target schema, default to 'default'.
        :type schema: str
        :param hive_conf: hive_conf to execute alone with the hql.
        :type hive_conf: dict
        :param kwargs: (optional) passed into pandas.DataFrame constructor
        :type kwargs: dict
        :return: result of hive execution
        :rtype: DataFrame
        >>> hh = HiveServer2Hook()
        >>> sql = "SELECT * FROM airflow.static_babynames LIMIT 100"
        >>> df = hh.get_pandas_df(sql)
        >>> len(df.index)
        100
        :return: pandas.DateFrame
        """
        res = self.get_results(hql, schema=schema, hive_conf=hive_conf)
        df = pandas.DataFrame(res['data'], **kwargs)
        df.columns = [c[0] for c in res['header']]
        return df