You need to use proper HDFS URI with saveAsTextFile.
For Example:
rdd.saveAsTextFile("hdfs://NameNode:Port/tmp/Iris/output.tmp")
Regards,
Adnan
Asaf Lahav wrote
> Hi,
>
> We are using Spark with data files on HDFS. The files are stored as files
> for predefined hadoop user ("hdfs").
>
> The folder is permitted with
>
> · read write, executable and read permission for the hdfs user
>
> · executable and read permission for users in the group
>
> · just read permission for all other users
>
>
>
> now the Spark write operation fails, due to a user mismatch of the spark
> context and the Hadoop user permission.
>
> Is there a way to start the Spark Context with another user than the one
> configured on the local machine?
>
>
>
>
>
>
>
> Please the technical details below:
>
>
>
>
>
>
>
>
>
>
>
> The permission on the hdfs folder "/tmp/Iris" is as follows:
>
> drwxr-xr-x - hdfs hadoop 0 2014-04-10 14:12 /tmp/Iris
>
>
>
>
>
> The Spark context is initiated on my local machine and according to the
> configured hdfs permission "rwxr-xr-x" there is no problem in loading the
> Hadoop hdfs file into a rdd:
>
> final JavaRDD
> <String>
> rdd = sparkContext.textFile(filePath);
>
>
>
> But saving the resulted rdd back to Hadoop resulst in an Hadoop security
> exception:
>
> rdd.saveAsTextFile("/tmp/Iris/output");
>
>
>
> Then the I receive the following Hadoop security exception:
>
> org.apache.hadoop.security.AccessControlException:
> org.apache.hadoop.security.AccessControlException: *Permission denied:
> user=halbani, access=WRITE, inode="/tmp/Iris":hdfs:hadoop:drwxr-xr-x*
>
> 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:525)
>
> at
> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:95)
>
> at
> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:57)
>
> at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:1428)
>
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:332)
>
> at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:1126)
>
> at
> org.apache.hadoop.mapred.FileOutputCommitter.setupJob(FileOutputCommitter.java:52)
>
> at
> org.apache.hadoop.mapred.SparkHadoopWriter.preSetup(SparkHadoopWriter.scala:65)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:713)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:686)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:572)
>
> at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:894)
>
> at
> org.apache.spark.api.java.JavaRDDLike$class.saveAsTextFile(JavaRDDLike.scala:355)
>
> at
> org.apache.spark.api.java.JavaRDD.saveAsTextFile(JavaRDD.scala:27)
>
> at
> org.apache.spark.reader.FileSpliter.split(FileSpliter.java:73)
>
> at
> org.apache.spark.reader.FileReaderMain.main(FileReaderMain.java:17)
>
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> at java.lang.reflect.Method.invoke(Method.java:601)
>
> at
> com.intellij.rt.execution.application.AppMain.main(AppMain.java:120)
>
> Caused by: org.apache.hadoop.ipc.RemoteException:
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=halbani, access=WRITE, inode="/tmp/Iris":hdfs:hadoop:drwxr-xr-x
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:225)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:205)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:151)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:5951)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:5924)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:2628)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:2593)
>
> at
> org.apache.hadoop.hdfs.server.namenode.NameNode.mkdirs(NameNode.java:927)
>
> at sun.reflect.GeneratedMethodAccessor132.invoke(Unknown Source)
>
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> at java.lang.reflect.Method.invoke(Method.java:606)
>
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:587)
>
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1444)
>
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1440)
>
> at java.security.AccessController.doPrivileged(Native Method)
>
> at javax.security.auth.Subject.doAs(Subject.java:415)
>
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1232)
>
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1438)
>
>
>
> at org.apache.hadoop.ipc.Client.call(Client.java:1107)
>
> at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:229)
>
> at $Proxy7.mkdirs(Unknown Source)
>
> 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:601)
>
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)
>
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)
>
> at $Proxy7.mkdirs(Unknown Source)
>
> at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:1426)
>
> ... 17 more
>
>
>
>
>
> Apparently is the Spark context is initiated with the user on the local
> machine.
>
> Is there a way to start the Spark Context with another user then the one
> configured on the local machine?
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