[jira] [Assigned] (AIRFLOW-2920) Kubernetes pod operator: namespace is a hard requirement

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/AIRFLOW-2920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned AIRFLOW-2920:
-------------------------------------

    Assignee:     (was: Holden Karau's magical unicorn)

> Kubernetes pod operator: namespace is a hard requirement
> --------------------------------------------------------
>
>                 Key: AIRFLOW-2920
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-2920
>             Project: Apache Airflow
>          Issue Type: Bug
>            Reporter: Jon Davies
>            Priority: Major
>
> Hello,
> I'm using the Kubernetes pod operator for my DAGs, I install Airflow to its own namespace within my Kubernetes cluster (for example: "testing-airflow") and I would like pods spun up by that Airflow instance to live in that namespace.
> However, I have to hardcode the namespace into my DAG definition code and so I have to rebuild the Docker image for Airflow to be able to spin up a "production-airflow" namespace as the namespace is a hard requirement in the Python code - it'd be nice if the DAG could just default to its own namespace if none is defined.



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