vchiapaikeo commented on issue #24171:
URL: https://github.com/apache/airflow/issues/24171#issuecomment-1776796804

   That'd be great @tokoko - I'm familiar with turning http processes into 
deferrable. My concern here is that the 
[SparkSubmitHook](https://github.com/apache/airflow/blob/dcb72b5a4661223c9de7beea40264a152298f24b/airflow/providers/apache/spark/hooks/spark_submit.py#L39)
 supports both the client and cluster deploy modes and seemingly [3 cluster 
manager 
modes](https://github.com/apache/airflow/blob/dcb72b5a4661223c9de7beea40264a152298f24b/airflow/providers/apache/spark/hooks/spark_submit.py#L159-L160).
 This solution would only be applicable with Yarn deployment. I'd also likely 
develop locally with standalone mode as well so would not be able to make this 
rest call. 
   
   Do you know of a comprehensive solution to [track driver 
status](https://github.com/apache/airflow/blob/dcb72b5a4661223c9de7beea40264a152298f24b/airflow/providers/apache/spark/hooks/spark_submit.py#L549)
 that would work for standalone, k8's, and yarn?


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