Hi, I've deployed a Secure YARN 2.7.1 cluster with HDFS encryption and am trying to run the pyspark shell using Spark 1.5.1
pyspark shell works and I can run a sample code to calculate PI just fine. However, when I try to stop the current context (e.g., sc.stop()) and then create a new context (sc = SparkContext()), I get the error below. I have also seen errors such as: "token (HDFS_DELEGATION_TOKEN token 42 for hadoop) can't be found in cache", Does anyone know if it is possible to stop and create a new Spark context within a single JVM process (driver) and have that work when dealing with delegation tokens from Secure YARN/HDFS? Thanks. 15/11/11 10:19:53 INFO yarn.Client: Setting up container launch context for our AM 15/11/11 10:19:53 INFO yarn.Client: Setting up the launch environment for our AM container 15/11/11 10:19:53 INFO yarn.Client: Credentials file set to: credentials-37915c3e-1e90-44b9-add1-521598cea846 15/11/11 10:19:53 INFO yarn.YarnSparkHadoopUtil: getting token for namenode: hdfs://test6-allwkrbsec-001:9000/user/hadoop/.sparkStaging/application_1446695132208_0042 15/11/11 10:19:53 ERROR spark.SparkContext: Error initializing SparkContext. org.apache.hadoop.ipc.RemoteException(java.io.IOException): Delegation Token can be issued only with kerberos or web authentication at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getDelegationToken(FSNamesystem.java:6638) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getDelegationToken(NameNodeRpcServer.java:563) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getDelegationToken(ClientNamenodeProtocolServerSideTranslatorPB.java:987) at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043) at org.apache.hadoop.ipc.Client.call(Client.java:1476) at org.apache.hadoop.ipc.Client.call(Client.java:1407) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229) at com.sun.proxy.$Proxy12.getDelegationToken(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getDelegationToken(ClientNamenodeProtocolTranslatorPB.java:933) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) at com.sun.proxy.$Proxy13.getDelegationToken(Unknown Source) at org.apache.hadoop.hdfs.DFSClient.getDelegationToken(DFSClient.java:1044) at org.apache.hadoop.hdfs.DistributedFileSystem.getDelegationToken(DistributedFileSystem.java:1543) at org.apache.hadoop.fs.FileSystem.collectDelegationTokens(FileSystem.java:530) at org.apache.hadoop.fs.FileSystem.addDelegationTokens(FileSystem.java:508) at org.apache.hadoop.hdfs.DistributedFileSystem.addDelegationTokens(DistributedFileSystem.java:2228) at org.apache.spark.deploy.yarn.YarnSparkHadoopUtil$$anonfun$obtainTokensForNamenodes$1.apply(YarnSparkHadoopUtil.scala:126) at org.apache.spark.deploy.yarn.YarnSparkHadoopUtil$$anonfun$obtainTokensForNamenodes$1.apply(YarnSparkHadoopUtil.scala:123) at scala.collection.immutable.Set$Set1.foreach(Set.scala:74) at org.apache.spark.deploy.yarn.YarnSparkHadoopUtil.obtainTokensForNamenodes(YarnSparkHadoopUtil.scala:123) at org.apache.spark.deploy.yarn.Client.getTokenRenewalInterval(Client.scala:495) at org.apache.spark.deploy.yarn.Client.setupLaunchEnv(Client.scala:528) at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:628) at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:119) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144) at org.apache.spark.SparkContext.<init>(SparkContext.scala:523) at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:526) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) at py4j.Gateway.invoke(Gateway.java:214) at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79) at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68) at py4j.GatewayConnection.run(GatewayConnection.java:207) at java.lang.Thread.run(Thread.java:745) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Creating-new-Spark-context-when-running-in-Secure-YARN-fails-tp25361.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org