[ https://issues.apache.org/jira/browse/SPARK-34645?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17687744#comment-17687744 ]
Dongjoon Hyun commented on SPARK-34645: --------------------------------------- Thank you for sharing your experience and several combinations you tried, [~hussein-awala]. - Is the JVM terminated? - If not, what kind of JVM threads do you see in the driver pod? > [K8S] Driver pod stuck in Running state after job completes > ----------------------------------------------------------- > > Key: SPARK-34645 > URL: https://issues.apache.org/jira/browse/SPARK-34645 > Project: Spark > Issue Type: Bug > Components: Kubernetes > Affects Versions: 3.0.2 > Environment: Kubernetes: > {code:java} > Client Version: version.Info{Major:"1", Minor:"19", GitVersion:"v1.19.2", > GitCommit:"f5743093fd1c663cb0cbc89748f730662345d44d", GitTreeState:"clean", > BuildDate:"2020-09-16T13:41:02Z", GoVersion:"go1.15", Compiler:"gc", > Platform:"linux/amd64"} > Server Version: version.Info{Major:"1", Minor:"13", GitVersion:"v1.13.5", > GitCommit:"2166946f41b36dea2c4626f90a77706f426cdea2", GitTreeState:"clean", > BuildDate:"2019-03-25T15:19:22Z", GoVersion:"go1.11.5", Compiler:"gc", > Platform:"linux/amd64"} > {code} > Reporter: Andy Grove > Priority: Major > > I am running automated benchmarks in k8s, using spark-submit in cluster mode, > so the driver runs in a pod. > When running with Spark 3.0.1 and 3.1.1 everything works as expected and I > see the Spark context being shut down after the job completes. > However, when running with Spark 3.0.2 I do not see the context get shut down > and the driver pod is stuck in the Running state indefinitely. > This is the output I see after job completion with 3.0.1 and 3.1.1 and this > output does not appear with 3.0.2. With 3.0.2 there is no output at all after > the job completes. > {code:java} > 2021-03-05 20:09:24,576 INFO spark.SparkContext: Invoking stop() from > shutdown hook > 2021-03-05 20:09:24,592 INFO server.AbstractConnector: Stopped > Spark@784499d0{HTTP/1.1, (http/1.1)}{0.0.0.0:4040} > 2021-03-05 20:09:24,594 INFO ui.SparkUI: Stopped Spark web UI at > http://benchmark-runner-3e8a38780400e0d1-driver-svc.default.svc:4040 > 2021-03-05 20:09:24,599 INFO k8s.KubernetesClusterSchedulerBackend: Shutting > down all executors > 2021-03-05 20:09:24,600 INFO > k8s.KubernetesClusterSchedulerBackend$KubernetesDriverEndpoint: Asking each > executor to shut down > 2021-03-05 20:09:24,609 WARN k8s.ExecutorPodsWatchSnapshotSource: Kubernetes > client has been closed (this is expected if the application is shutting down.) > 2021-03-05 20:09:24,719 INFO spark.MapOutputTrackerMasterEndpoint: > MapOutputTrackerMasterEndpoint stopped! > 2021-03-05 20:09:24,736 INFO memory.MemoryStore: MemoryStore cleared > 2021-03-05 20:09:24,738 INFO storage.BlockManager: BlockManager stopped > 2021-03-05 20:09:24,744 INFO storage.BlockManagerMaster: BlockManagerMaster > stopped > 2021-03-05 20:09:24,752 INFO > scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: > OutputCommitCoordinator stopped! > 2021-03-05 20:09:24,768 INFO spark.SparkContext: Successfully stopped > SparkContext > 2021-03-05 20:09:24,768 INFO util.ShutdownHookManager: Shutdown hook called > 2021-03-05 20:09:24,769 INFO util.ShutdownHookManager: Deleting directory > /var/data/spark-67fa44df-e86c-463a-a149-25d95817ff8e/spark-a5476c14-c103-4108-b733-961400485d8a > 2021-03-05 20:09:24,772 INFO util.ShutdownHookManager: Deleting directory > /tmp/spark-9d6261f5-4394-472b-9c9a-e22bde877814 > 2021-03-05 20:09:24,778 INFO impl.MetricsSystemImpl: Stopping s3a-file-system > metrics system... > 2021-03-05 20:09:24,779 INFO impl.MetricsSystemImpl: s3a-file-system metrics > system stopped. > 2021-03-05 20:09:24,779 INFO impl.MetricsSystemImpl: s3a-file-system metrics > system shutdown complete. > {code} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org