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https://issues.apache.org/jira/browse/SPARK-55555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-55555:
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Description:
Historically, the Apache Spark manages executors in a smart way via Dynamic
Allocation or Resource profiles.
On top of that, this issue aims to cover more advanced resource managements by
taking advantage of new K8s features. For example,
- We can resize CPU and Memory requests and limits of executors via In-Place
Pod Update.
- We can scale-up the PVC volumes via `AllowVolumeExpansion`.
> Support heterogeneous K8s executors
> -----------------------------------
>
> Key: SPARK-55555
> URL: https://issues.apache.org/jira/browse/SPARK-55555
> Project: Spark
> Issue Type: Umbrella
> Components: Kubernetes
> Affects Versions: 4.2.0
> Reporter: Dongjoon Hyun
> Priority: Major
>
> Historically, the Apache Spark manages executors in a smart way via Dynamic
> Allocation or Resource profiles.
> On top of that, this issue aims to cover more advanced resource managements
> by taking advantage of new K8s features. For example,
> - We can resize CPU and Memory requests and limits of executors via In-Place
> Pod Update.
> - We can scale-up the PVC volumes via `AllowVolumeExpansion`.
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