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From "Crystal Qian (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (AIRFLOW-1323) Operators related to Dataproc should keep some parameters consistent
Date Tue, 26 Sep 2017 18:09:00 GMT

     [ https://issues.apache.org/jira/browse/AIRFLOW-1323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Crystal Qian reassigned AIRFLOW-1323:
-------------------------------------

    Assignee: Crystal Qian

> Operators related to Dataproc should keep some parameters consistent
> --------------------------------------------------------------------
>
>                 Key: AIRFLOW-1323
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1323
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: operators
>            Reporter: Yu Ishikawa
>            Assignee: Crystal Qian
>            Priority: Minor
>
> The parameters of {{DataprocClusterDeleteOperator}} and {{DataprocClusterCreateOperator}}
for GCP connection ID are {{google_cloud_conn_id}}.  On the other hand, for example,
>  {{DataProcPigOperator}}'s paramter is {{gcp_conn_id}}. I think this inconsistency may
make users confused. We should keep the parameter's name consistent.
> For another example, parameters for a cluster name don't have consistency like {{cluster_name}}
and {{dataproc_cluster}}.
> - https://github.com/apache/incubator-airflow/blob/master/airflow/contrib/operators/dataproc_operator.py#L58
> - https://github.com/apache/incubator-airflow/blob/master/airflow/contrib/operators/dataproc_operator.py#L626



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