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https://issues.apache.org/jira/browse/SPARK-36058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17420568#comment-17420568
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Yikun Jiang edited comment on SPARK-36058 at 9/27/21, 2:32 PM:
---------------------------------------------------------------

After this, it makes the executor pod allocator pluggable, we could add the 
VolcanoJobAllocator, and it enables the volcano ability (with queue, podgoup 
and so on...) on excutors side. How about driver side? Do you have any 
suggestion on it? [~holden]

BTW, I just wanna sure that [1][2] abilities targets on driver/excutor side, 
right? That means we need add PodGroup/Queue abilities on each allocator and 
driver?

[1] scheduler & queue: https://issues.apache.org/jira/browse/SPARK-36059
[2] PodGroup  https://issues.apache.org/jira/browse/SPARK-36061


was (Author: yikunkero):
After this, it makes the executor pod allocator pluggable, we could add the 
VolcanoJobAllocator, and it enables the volcano ability (with queue, podgoup 
and so on...) on excutors side. How about driver side? Do you have any 
suggestion on it? [~holden] 

BTW, I just wanna sure that [1][2] abilities targets on driver/excutor side, 
right? That means we need add PodGroup/Queue abilities on each allocator?

[1] scheduler & queue: https://issues.apache.org/jira/browse/SPARK-36059
[2] PodGroup  https://issues.apache.org/jira/browse/SPARK-36061

> Support replicasets/job API
> ---------------------------
>
>                 Key: SPARK-36058
>                 URL: https://issues.apache.org/jira/browse/SPARK-36058
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Kubernetes
>    Affects Versions: 3.2.0, 3.3.0
>            Reporter: Holden Karau
>            Assignee: Holden Karau
>            Priority: Major
>             Fix For: 3.3.0
>
>
> Volcano & Yunikorn both support scheduling invidual pods, but they also 
> support higher level abstractions similar to the vanilla Kube replicasets 
> which we can use to improve scheduling performance.



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