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
True
        """
        conn = self.conn
        schema = schema or conn.schema
        if schema:
            hql = f"USE {schema};\n{hql}"
        with TemporaryDirectory(prefix='airflow_hiveop_') as tmp_dir:
            with NamedTemporaryFile(dir=tmp_dir) as f:
                hql += '\n'
                f.write(hql.encode('UTF-8'))
                f.flush()
                hive_cmd = self._prepare_cli_cmd()
                env_context = get_context_from_env_var()
                
                if hive_conf:
                    env_context.update(hive_conf)
                hive_conf_params = self._prepare_hiveconf(env_context)
                if self.mapred_queue:
                    hive_conf_params.extend(
                        [
                            '-hiveconf',
                            f'mapreduce.job.queuename={self.mapred_queue}',
                            '-hiveconf',
                            f'mapred.job.queue.name={self.mapred_queue}',
                            '-hiveconf',
                            f'tez.queue.name={self.mapred_queue}',
                        ]
                    )
                if self.mapred_queue_priority:
                    hive_conf_params.extend(