[jira] [Updated] (SPARK-44758) Support memory limit configurable
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https://issues.apache.org/jira/browse/SPARK-44758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-44758:
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Labels: pull-request-available (was: )
> Support memory limit configurable
> -
>
> Key: SPARK-44758
> URL: https://issues.apache.org/jira/browse/SPARK-44758
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
>Affects Versions: 3.4.1
>Reporter: Mingliang Zhu
>Priority: Minor
> Labels: pull-request-available
>
> Currently the memory request and limit are set by summing the values of
> spark.\{driver,executor}.memory and spark.\{driver,executor}.memoryOverhead.
> Supporting memory limits configurable can bring some benefits. For example,
> use unfixed memory to use page cache, reduce disk IO of shuffle read to
> improve performance.
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[jira] [Updated] (SPARK-44758) Support memory limit configurable
[
https://issues.apache.org/jira/browse/SPARK-44758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhuml updated SPARK-44758:
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Description: Currently the memory request and limit are set by summing the
values of spark.\{driver,executor}.memory and
spark.\{driver,executor}.memoryOverhead. Supporting memory limits configurable
can bring some benefits. For example, use unfixed memory to use page cache,
reduce disk IO of shuffle read to improve performance. (was: Currently the
memory request and limit are set by summing the values of
spark.\{driver,executor}.memory and spark.\{driver,executor}.memoryOverhead.
Supporting configurable memory limits can bring some benefits. For example, use
unfixed memory to use page cache, reduce disk IO of shuffle read to improve
performance.)
> Support memory limit configurable
> -
>
> Key: SPARK-44758
> URL: https://issues.apache.org/jira/browse/SPARK-44758
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
>Affects Versions: 3.4.1
>Reporter: zhuml
>Priority: Minor
>
> Currently the memory request and limit are set by summing the values of
> spark.\{driver,executor}.memory and spark.\{driver,executor}.memoryOverhead.
> Supporting memory limits configurable can bring some benefits. For example,
> use unfixed memory to use page cache, reduce disk IO of shuffle read to
> improve performance.
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[jira] [Updated] (SPARK-44758) Support memory limit configurable
[
https://issues.apache.org/jira/browse/SPARK-44758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhuml updated SPARK-44758:
--
Summary: Support memory limit configurable (was: Support memory limit)
> Support memory limit configurable
> -
>
> Key: SPARK-44758
> URL: https://issues.apache.org/jira/browse/SPARK-44758
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
>Affects Versions: 3.4.1
>Reporter: zhuml
>Priority: Minor
>
> Currently the memory request and limit are set by summing the values of
> spark.\{driver,executor}.memory and spark.\{driver,executor}.memoryOverhead.
> Supporting configurable memory limits can bring some benefits. For example,
> use unfixed memory to use page cache, reduce disk IO of shuffle read to
> improve performance.
--
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