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Posted to issues@kylin.apache.org by "Xiaoxiang Yu (Jira)" <ji...@apache.org> on 2021/02/20 06:54:00 UTC
[jira] [Assigned] (KYLIN-4895) change spark deploy mode of kylin4.0
engine from local to cluster
[ https://issues.apache.org/jira/browse/KYLIN-4895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiaoxiang Yu reassigned KYLIN-4895:
-----------------------------------
Assignee: tianhui
> 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-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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