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https://issues.apache.org/jira/browse/SPARK-40298?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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todd reopened SPARK-40298:
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> shuffle data recovery on the reused PVCs no effect
> ---------------------------------------------------
>
> Key: SPARK-40298
> URL: https://issues.apache.org/jira/browse/SPARK-40298
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 3.2.2
> Reporter: todd
> Priority: Major
> Attachments: 1662002808396.jpg, 1662002822097.jpg
>
>
> I use spark3.2.2 to test the [ Support shuffle data recovery on the reused
> PVCs (SPARK-35593) ] feature.I found that when shuffle read fails, data is
> still read from source.
> It can be confirmed that the pvc has been multiplexed by other pods, and the
> Index and data data information has been sent
> *This is my spark configuration information：*
> --conf spark.driver.memory=5G
> --conf spark.executor.memory=15G
> --conf spark.executor.cores=1
> --conf spark.executor.instances=50
> --conf spark.sql.shuffle.partitions=50
> --conf spark.dynamicAllocation.enabled=false
> --conf spark.kubernetes.driver.reusePersistentVolumeClaim=true
> --conf spark.kubernetes.driver.ownPersistentVolumeClaim=true
> --conf
> spark.kubernetes.executor.volumes.persistentVolumeClaim.data.options.claimName=OnDemand
> --conf
> spark.kubernetes.executor.volumes.persistentVolumeClaim.data.options.storageClass=gp2
> --conf
> spark.kubernetes.executor.volumes.persistentVolumeClaim.data.options.sizeLimit=100Gi
> --conf
> spark.kubernetes.executor.volumes.persistentVolumeClaim.data.mount.path=/tmp/data
> --conf
> spark.kubernetes.executor.volumes.persistentVolumeClaim.data.mount.readOnly=false
> --conf spark.executorEnv.SPARK_EXECUTOR_DIRS=/tmp/data
> --conf
> spark.shuffle.sort.io.plugin.class=org.apache.spark.shuffle.KubernetesLocalDiskShuffleDataIO
> --conf spark.kubernetes.executor.missingPodDetectDelta=10s
> --conf spark.kubernetes.executor.apiPollingInterval=10s
> --conf spark.shuffle.io.retryWait=60s
> --conf spark.shuffle.io.maxRetries=5
>
>
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