Thank you all very much for your responses....
We are going to test these recommendations.
Adnan, in regards to the HDFS URI, this is actually the manner in which we
are accessing the file system already. It was simply removed from the post.
Thank you,
Asaf
On Thu, Apr 10, 2014 at 5:33 PM, Shao, Saisai <saisai.s...@intel.com> wrote:
> 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:asaf.la...@gmail.com]
> *Sent:* Thursday, April 10, 2014 8:15 PM
> *To:* user@spark.apache.org
> *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?
>
