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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/24 07:55:00 UTC
[jira] [Assigned] (SPARK-39006) Check PVC claimName must be OnDemand when multiple executor required
[ https://issues.apache.org/jira/browse/SPARK-39006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-39006:
------------------------------------
Assignee: (was: Apache Spark)
> Check PVC claimName must be OnDemand when multiple executor required
> --------------------------------------------------------------------
>
> Key: SPARK-39006
> URL: https://issues.apache.org/jira/browse/SPARK-39006
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
> Affects Versions: 3.1.0
> Reporter: qian
> Priority: Major
> Fix For: 3.4.0
>
>
> When spark application requires multiple executors and not set pvc claimName be onDemand, it always create executor pods. Because pvc has be created by first executor pod.
> {noformat}
> 22/04/22 08:55:47 WARN ExecutorPodsSnapshotsStoreImpl: Exception when notifying snapshot subscriber.
> io.fabric8.kubernetes.client.KubernetesClientException: Failure executing: POST at: https://kubernetes.default.svc/api/v1/namespaces/default/persistentvolumeclaims. Message: persistentvolumeclaims "test-1" already exists. Received status: Status(apiVersion=v1, code=409, details=StatusDetails(causes=[], group=null, kind=persistentvolumeclaims, name=test-1, retryAfterSeconds=null, uid=null, additionalProperties={}), kind=Status, message=persistentvolumeclaims "test-1" already exists, metadata=ListMeta(_continue=null, remainingItemCount=null, resourceVersion=null, selfLink=null, additionalProperties={}), reason=AlreadyExists, status=Failure, additionalProperties={}).
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.requestFailure(OperationSupport.java:697) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.requestFailure(OperationSupport.java:676) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.assertResponseCode(OperationSupport.java:629) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:566) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:527) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleCreate(OperationSupport.java:315) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.BaseOperation.handleCreate(BaseOperation.java:651) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.BaseOperation.handleCreate(BaseOperation.java:91) ~[kubernetes-client-5.10.1.jar:?]
> at io.fabric8.kubernetes.client.dsl.base.CreateOnlyResourceOperation.create(CreateOnlyResourceOperation.java:61) ~[kubernetes-client-5.10.1.jar:?]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$requestNewExecutors$3(ExecutorPodsAllocator.scala:415) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at scala.collection.immutable.List.foreach(List.scala:431) ~[scala-library-2.12.15.jar:?]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$requestNewExecutors$1(ExecutorPodsAllocator.scala:408) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158) ~[scala-library-2.12.15.jar:?]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.requestNewExecutors(ExecutorPodsAllocator.scala:385) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$onNewSnapshots$35(ExecutorPodsAllocator.scala:349) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$onNewSnapshots$35$adapted(ExecutorPodsAllocator.scala:342) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) ~[scala-library-2.12.15.jar:?]
> at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) ~[scala-library-2.12.15.jar:?]
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) ~[scala-library-2.12.15.jar:?]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.onNewSnapshots(ExecutorPodsAllocator.scala:342) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$start$3(ExecutorPodsAllocator.scala:120) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$start$3$adapted(ExecutorPodsAllocator.scala:120) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber.org$apache$spark$scheduler$cluster$k8s$ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber$$processSnapshotsInternal(ExecutorPodsSnapshotsStoreImpl.scala:138) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber.processSnapshots(ExecutorPodsSnapshotsStoreImpl.scala:126) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl.$anonfun$addSubscriber$1(ExecutorPodsSnapshotsStoreImpl.scala:81) ~[spark-kubernetes_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) [?:?]
> at java.util.concurrent.FutureTask.runAndReset(Unknown Source) [?:?]
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(Unknown Source) [?:?]
> at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) [?:?]
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) [?:?]
> at java.lang.Thread.run(Unknown Source) [?:?]{noformat}
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