Oleg Frenkel created SPARK-43342:
------------------------------------
Summary: Spark in Kubernetes mode throws IllegalArgumentException
when using static PVC
Key: SPARK-43342
URL: https://issues.apache.org/jira/browse/SPARK-43342
Project: Spark
Issue Type: Bug
Components: Kubernetes
Affects Versions: 3.4.0
Reporter: Oleg Frenkel
When using static PVC with Spark 3.4, spark PI example fails with the error
below. Previous versions of Spark worked well.
{code:java}
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) {code}
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:
{code:java}
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
{code}
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