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https://issues.apache.org/jira/browse/KYLIN-4895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17366365#comment-17366365
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ASF GitHub Bot commented on KYLIN-4895:
---------------------------------------

codecov-commenter commented on pull request #1568:
URL: https://github.com/apache/kylin/pull/1568#issuecomment-864712270


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> change spark deploy mode of kylin4.0 engine from local to cluster
> -----------------------------------------------------------------
>
>                 Key: KYLIN-4895
>                 URL: https://issues.apache.org/jira/browse/KYLIN-4895
>             Project: Kylin
>          Issue Type: New Feature
>          Components: Job Engine
>    Affects Versions: v4.0.0-alpha
>            Reporter: tianhui
>            Assignee: tianhui
>            Priority: Major
>             Fix For: v4.0.0
>
>
>     In cloud native environment, the memory of pod is quite limited. But the 
> spark Driver can use a huge amount of memory, in job engine pod, which is 
> quite difficult to manage when there are more and more projects. 
>     So it's better to put spark driver on yarn, and kylin only maintain its 
> status.
>  



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