[jira] [Created] (AIRFLOW-3027) Read credentials from a file in the Databricks operators and hook

["Anthony Miyaguchi (JIRA)" <ji...@apache.org>]

Anthony Miyaguchi created AIRFLOW-3027:
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             Summary: Read credentials from a file in the Databricks operators and hook
                 Key: AIRFLOW-3027
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3027
             Project: Apache Airflow
          Issue Type: Improvement
          Components: authentication, hooks, operators
    Affects Versions: 1.9.0
            Reporter: Anthony Miyaguchi


The Databricks hook requires token-based authentication via the connections database. The token is passed into the connections field:
Extras: \{"token": "<GENERATED_TOKEN>"}
This means the token can be seen in plaintext in the Admin UI, which is undesirable for our setup. The AWS hook gets around this by either using boto's authentication mechanisms or by reading from a file.
{code:java}
elif 's3_config_file' in connection_object.extra_dejson:
    aws_access_key_id, aws_secret_access_key = \
        _parse_s3_config(
            connection_object.extra_dejson['s3_config_file'],
            connection_object.extra_dejson.get('s3_config_format')){code}
[[source] https://github.com/apache/incubator-airflow/blob/08ecca47862f304dba548bcfc6c34406cdcf556f/airflow/contrib/hooks/aws_hook.py#L110-L114|https://github.com/apache/incubator-airflow/blob/08ecca47862f304dba548bcfc6c34406cdcf556f/airflow/contrib/hooks/aws_hook.py#L110-L114]

 

The databricks hook should also support reading the token from a file to avoid exposing sensitive tokens in plaintext.

 



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