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https://issues.apache.org/jira/browse/FLINK-37588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18016353#comment-18016353
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chaoran.su commented on FLINK-37588:
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I think this issue need more information, like which flink version is using.

When flink version lower than 1.14 and we manually change task state to  finish 
/ fail, the cluster will exit immediately, since config 
execution.shutdown-on-application-finish is not exist. The config 
jm-deployment.shutdown-ttl  will not take effect.

When flink version higher than 1.14, flink operator always set 
execution.shutdown-on-application-finish to false, so cluster will remain after 
job is finished / failed. Application clusters should not exit immediately and 
we can observe them. The config jm-deployment.shutdown-ttl will take effect, 
since the status and updateTime are changed in the same time.

I think the version of flink operator higher than 1.7, which support flink 
higher than 1.15, the config jm-deployment.shutdown-ttl will take effect.

> Flink Kubernetes Operator Parameter `jm-deployment.shutdown-ttl` does not 
> take effect
> -------------------------------------------------------------------------------------
>
>                 Key: FLINK-37588
>                 URL: https://issues.apache.org/jira/browse/FLINK-37588
>             Project: Flink
>          Issue Type: Bug
>          Components: Kubernetes Operator
>            Reporter: yuanfenghu
>            Priority: Critical
>
> When I configured jm-deployment.shutdown-ttl, it did not take effect because 
> its judgment was based on the JobStatus#updateTime, but updateTime will only 
> change if state changes are observed in two previous observations, and 
> observations are triggered periodically. Therefore, if the time difference 
> between the last state change and the current time after we stop the task 
> exceeds jm-deployment.shutdown-ttl, the cluster will be destroyed 
> immediately. This is not expected, so we should also update updateTime when 
> the task state is manually triggered to change to FINISHED.



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