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Posted to commits@airflow.apache.org by "t oo (Jira)" <ji...@apache.org> on 2020/03/06 15:02:00 UTC
[jira] [Created] (AIRFLOW-6994) SparkSubmitOperator re launches
spark driver even when original driver still running
t oo created AIRFLOW-6994:
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Summary: SparkSubmitOperator re launches spark driver even when original driver still running
Key: AIRFLOW-6994
URL: https://issues.apache.org/jira/browse/AIRFLOW-6994
Project: Apache Airflow
Issue Type: Bug
Components: scheduler
Affects Versions: 1.10.6
Reporter: t oo
Assignee: t oo
Fix For: 1.10.8
You click ‘release’ on a new spark cluster while the prior spark cluster is processing some spark submits from airflow. Then airflow is never able to finish the sparksubmit task as it polls from status on the new spark cluster build which it can’t find status for as the submit happened on earlier spark cluster build….the status loop goes on forever
[https://github.com/apache/airflow/blob/1.10.6/airflow/contrib/hooks/spark_submit_hook.py#L446]
[https://github.com/apache/airflow/blob/1.10.6/airflow/contrib/hooks/spark_submit_hook.py#L489]
It loops forever if it can’t find driverState tag in the json response, since the new build (pointed to by the released DNS name) doesn’t know about the driver submitted (in previously released build) then the 2nd response below does not contain the driverState tag.
#response before clicking release on new build
[ec2-user@reda ~]$
curl +[http://dns:6066/v1/submissions/status/driver-20191202142207-0000]+
{ "action" : "SubmissionStatusResponse", "driverState" : "RUNNING", "serverSparkVersion" : "2.3.4", "submissionId" : "driver-20191202142207-0000", "success" : true, "workerHostPort" : "reda:31489", "workerId" : "worker-20191202133526-reda-31489"}
#response after clicking release on new build
[ec2-user@reda ~]$
curl [http://dns:6066/v1/submissions/status/driver-20191202142207-0000]
{ "action" : "SubmissionStatusResponse", "serverSparkVersion" : "2.3.4", "submissionId" : "driver-20191202142207-0000", "success" : false }
Definitely a defect in current code. Can fix this by modifying _process_spark_status_log function to set driver status to UNKNOWN if driverState is not in response after iterating all lines.
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