Details
-
Bug
-
Status: Resolved
-
Major
-
Resolution: Fixed
-
3.4.0
-
None
Description
When using static PVC with Spark 3.4, spark PI example fails with the error below. Previous versions of Spark worked well.
23/04/26 13:22:02 INFO ExecutorPodsAllocator: Going to request 5 executors from Kubernetes for ResourceProfile Id: 0, target: 5, known: 0, sharedSlotFromPendingPods: 2147483647. 23/04/26 13:22:02 INFO BasicExecutorFeatureStep: Decommissioning not enabled, skipping shutdown script 23/04/26 13:22:02 ERROR ExecutorPodsSnapshotsStoreImpl: Going to stop due to IllegalArgumentException java.lang.IllegalArgumentException: PVC ClaimName: a1pvc should contain OnDemand or SPARK_EXECUTOR_ID when requiring multiple executors at org.apache.spark.deploy.k8s.features.MountVolumesFeatureStep.checkPVCClaimName(MountVolumesFeatureStep.scala:135) at org.apache.spark.deploy.k8s.features.MountVolumesFeatureStep.$anonfun$constructVolumes$4(MountVolumesFeatureStep.scala:75) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at scala.collection.IterableLike.foreach(IterableLike.scala:74) at scala.collection.IterableLike.foreach$(IterableLike.scala:73) at scala.collection.AbstractIterable.foreach(Iterable.scala:56) at scala.collection.TraversableLike.map(TraversableLike.scala:286) at scala.collection.TraversableLike.map$(TraversableLike.scala:279) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.deploy.k8s.features.MountVolumesFeatureStep.constructVolumes(MountVolumesFeatureStep.scala:58) at org.apache.spark.deploy.k8s.features.MountVolumesFeatureStep.configurePod(MountVolumesFeatureStep.scala:35) at org.apache.spark.scheduler.cluster.k8s.KubernetesExecutorBuilder.$anonfun$buildFromFeatures$5(KubernetesExecutorBuilder.scala:83) at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126) at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122) at scala.collection.immutable.List.foldLeft(List.scala:91) at org.apache.spark.scheduler.cluster.k8s.KubernetesExecutorBuilder.buildFromFeatures(KubernetesExecutorBuilder.scala:82) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$requestNewExecutors$1(ExecutorPodsAllocator.scala:430) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:158) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.requestNewExecutors(ExecutorPodsAllocator.scala:417) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$onNewSnapshots$36(ExecutorPodsAllocator.scala:370) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$onNewSnapshots$36$adapted(ExecutorPodsAllocator.scala:363) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.onNewSnapshots(ExecutorPodsAllocator.scala:363) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$start$3(ExecutorPodsAllocator.scala:134) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.$anonfun$start$3$adapted(ExecutorPodsAllocator.scala:134) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber.org$apache$spark$scheduler$cluster$k8s$ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber$$processSnapshotsInternal(ExecutorPodsSnapshotsStoreImpl.scala:143) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl$SnapshotsSubscriber.processSnapshots(ExecutorPodsSnapshotsStoreImpl.scala:131) at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsSnapshotsStoreImpl.$anonfun$addSubscriber$1(ExecutorPodsSnapshotsStoreImpl.scala:85) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:539) at java.base/java.util.concurrent.FutureTask.runAndReset(FutureTask.java:305) at java.base/java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:305) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) at java.base/java.lang.Thread.run(Thread.java:833)
How to reproduce:
- Create statically provisioned PV, for example nfs PV: https://kubernetes.io/docs/concepts/storage/volumes/#nfs
- Create PVC that binds to PV above.
- Run Spark PI example: $SPARK_HOME/bin/spark-submit --master k8s://kubernetes.default.svc --properties-file spark.properties $SPARK_HOME/examples/src/main/python/pi.py 10
spark.properties contents:
spark.executor.instances=5 spark.kubernetes.executor.volumes.persistentVolumeClaim.nfs1.mount.path=/isilon/mnts spark.kubernetes.executor.volumes.persistentVolumeClaim.nfs1.mount.readOnly=false spark.kubernetes.executor.volumes.persistentVolumeClaim.nfs1.options.claimName=a1pvc spark.kubernetes.driver.volumes.persistentVolumeClaim.nfs1.options.claimName=a1pvc spark.kubernetes.driver.volumes.persistentVolumeClaim.nfs1.mount.readOnly=false spark.kubernetes.driver.volumes.persistentVolumeClaim.nfs1.mount.path=/isilon/mnts
Attachments
Issue Links
- is caused by
-
SPARK-39006 Show a directional error message for PVC Dynamic Allocation Failure
- Resolved
- links to