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https://issues.apache.org/jira/browse/FLINK-15648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yang Wang updated FLINK-15648:
------------------------------
Description:
Currently, the native Kubernetes mode could support same request and limit for
the cpu and memory resources. It will be a good improvement to allow different
resource requests and limits. And it is very useful especially for the CPU
resource since it heavily depends on the upstream workloads.
For the implementation, we could have the four config options of limit-factor,
which could make the JM/TM benefit from burst resources.
{code:java}
kubernetes.jobmanager.cpu.limit-factor
kubernetes.jobmanager.memory.limit-factor
kubernetes.taskmanager.cpu.limit-factor
kubernetes.taskmanager.memory.limit-factor{code}
was:
Currently, the native Kubernetes mode could support same request and limit for
the cpu and memory resources. It will be a good improvement to allow different
resource requests and limits. And it is very useful especially for the CPU
resource since it heavily depends on the upstream workloads.
> Support to configure limit for CPU and memory requirement
> ---------------------------------------------------------
>
> Key: FLINK-15648
> URL: https://issues.apache.org/jira/browse/FLINK-15648
> Project: Flink
> Issue Type: New Feature
> Components: Deployment / Kubernetes
> Reporter: Canbin Zheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.15.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Currently, the native Kubernetes mode could support same request and limit
> for the cpu and memory resources. It will be a good improvement to allow
> different resource requests and limits. And it is very useful especially for
> the CPU resource since it heavily depends on the upstream workloads.
>
> For the implementation, we could have the four config options of
> limit-factor, which could make the JM/TM benefit from burst resources.
> {code:java}
> kubernetes.jobmanager.cpu.limit-factor
> kubernetes.jobmanager.memory.limit-factor
> kubernetes.taskmanager.cpu.limit-factor
> kubernetes.taskmanager.memory.limit-factor{code}
>
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