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https://issues.apache.org/jira/browse/KYLIN-4895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17286960#comment-17286960
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ASF GitHub Bot commented on KYLIN-4895:
---------------------------------------
lgtm-com[bot] commented on pull request #1568:
URL: https://github.com/apache/kylin/pull/1568#issuecomment-781958873
This pull request **introduces 2 alerts** when merging
b01587624bc3edf34d19548751d5a9737ec42f2d into
b428f1e1ab6a48101bec03e515d135c57af32878 - [view on
LGTM.com](https://lgtm.com/projects/g/apache/kylin/rev/pr-cd1533446511e850b609c3597a1229696d86cef7)
**new alerts:**
* 2 for Potential input resource leak
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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
> Priority: Major
> Fix For: v4.0.0-GA
>
>
> 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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