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https://issues.apache.org/jira/browse/SPARK-22341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-22341.
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Resolution: Fixed
This was fixed, forgot to close.
> [2.3.0] cannot run Spark on Yarn when Yarn impersonation is turned off
> ----------------------------------------------------------------------
>
> Key: SPARK-22341
> URL: https://issues.apache.org/jira/browse/SPARK-22341
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, YARN
> Affects Versions: 2.3.0
> Reporter: Maciej Bryński
> Priority: Major
>
> I'm trying to run 2.3.0 (from master) on my yarn cluster.
> The result is:
> {code}
> Exception in thread "main" org.apache.hadoop.security.AccessControlException:
> Permission denied: user=yarn, access=EXECUTE,
> inode="/user/bi/.sparkStaging/application_1508815646088_0164":bi:hdfs:drwx------
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkFsPermission(FSPermissionChecker.java:271)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:257)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkTraverse(FSPermissionChecker.java:208)
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:171)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6795)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getFileInfo(FSNamesystem.java:4387)
> at
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getFileInfo(NameNodeRpcServer.java:855)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getFileInfo(ClientNamenodeProtocolServerSideTranslatorPB.java:835)
> at
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619)
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106)
> at
> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73)
> at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1990)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1118)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1114)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1114)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$7.apply(ApplicationMaster.scala:219)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$7.apply(ApplicationMaster.scala:216)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster.<init>(ApplicationMaster.scala:216)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:821)
> at
> org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:842)
> at
> org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
> {code}
> I think the problem exists, because I'm not using yarn impersonation which
> mean that all jobs on cluster are runned from user yarn.
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