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https://issues.apache.org/jira/browse/KYLIN-4895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17277892#comment-17277892
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ASF GitHub Bot commented on KYLIN-4895:
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tianhui5 opened a new pull request #1568:
URL: https://github.com/apache/kylin/pull/1568
## Proposed changes
JIRA: https://issues.apache.org/jira/browse/KYLIN-4895
## Types of changes
- [ ] Bugfix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] Documentation Update (if none of the other choices apply)
## Checklist
_Put an `x` in the boxes that apply. You can also fill these out after
creating the PR. If you're unsure about any of them, don't hesitate to ask.
We're here to help! This is simply a reminder of what we are going to look for
before merging your code._
- [x] I have create an issue on [Kylin's
jira](https://issues.apache.org/jira/browse/KYLIN), and have described the
bug/feature there in detail
- [ ] Commit messages in my PR start with the related jira ID, like
"KYLIN-0000 Make Kylin project open-source"
- [ ] Compiling and unit tests pass locally with my changes
- [ ] I have added tests that prove my fix is effective or that my feature
works
- [ ] If this change need a document change, I will prepare another pr
against the `document` branch
- [ ] Any dependent changes have been merged
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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: Future
>
>
> 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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