Hi Asaf,
The user who run SparkContext is decided by the below code in SparkContext,
normally this user.name is the user who started JVM, you can start your
application with -Duser.name=xxx to specify a username you want, this specified
username will be the user to communicate with HDFS.
val sparkUser = Option {
Option(System.getProperty("user.name")).getOrElse(System.getenv("SPARK_USER"))
}.getOrElse {
SparkContext.SPARK_UNKNOWN_USER
}
Thanks
Jerry
From: Asaf Lahav [mailto:[email protected]]
Sent: Thursday, April 10, 2014 8:15 PM
To: [email protected]
Subject: Executing spark jobs with predefined Hadoop user
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?
