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https://issues.apache.org/jira/browse/SPARK-61267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61267:
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Labels: pull-request-available (was: )
> KubernetesExecutorBackend does not apply ResourceProfile memory and cores
> confs to the executor SparkConf
> ---------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61267
> URL: https://issues.apache.org/jira/browse/SPARK-61267
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 5.0.0
> Reporter: Purushotham Pushpavanthar
> Priority: Major
> Labels: pull-request-available
>
> SPARK-50421 made CoarseGrainedExecutorBackend.run set spark.executor.memory,
> spark.executor.memoryOverhead, spark.memory.offHeap.size and
> spark.executor.cores from a non-default ResourceProfile so executor-side
> readers (MemoryManager off-heap sizing, PythonRunner worker memory) see the
> profile's values. KubernetesExecutorBackend.run duplicates that startup
> sequence but was not updated, so Kubernetes executors under a non-default
> ResourceProfile still read the application-level values.
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