You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Kaveen Raajan (JIRA)" <ji...@apache.org> on 2015/06/08 08:47:00 UTC
[jira] [Updated] (SPARK-8155) support of proxy user not working in
spaced username on windows
[ https://issues.apache.org/jira/browse/SPARK-8155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kaveen Raajan updated SPARK-8155:
---------------------------------
Fix Version/s: (was: 1.3.0)
> support of proxy user not working in spaced username on windows
> ---------------------------------------------------------------
>
> Key: SPARK-8155
> URL: https://issues.apache.org/jira/browse/SPARK-8155
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 1.3.1
> Environment: windows-8/7/server 2008
> Hadoop-2.5.2
> Java-1.7.51
> username - "kaveen raajan"
> Reporter: Kaveen Raajan
>
> I'm using SPARK1.3.1 on windows machine contain space on username (current username-"kaveen raajan"). I tried to run following command
> {code}spark-shell --master yarn-client --proxy-user SYSTEM {code}
> I able to run successfully on non-space user application also running in SYSTEM user, But When I try to run in spaced user (kaveen raajan) mean it throws following error.
> {code}
> 15/06/05 16:52:48 INFO spark.SecurityManager: Changing view acls to: SYSTEM
> 15/06/05 16:52:48 INFO spark.SecurityManager: Changing modify acls to: SYSTEM
> 15/06/05 16:52:48 INFO spark.SecurityManager: SecurityManager: authentication di
> sabled; ui acls disabled; users with view permissions: Set(SYSTEM); users with m
> odify permissions: Set(SYSTEM)
> 15/06/05 16:52:49 INFO slf4j.Slf4jLogger: Slf4jLogger started
> 15/06/05 16:52:49 INFO Remoting: Starting remoting
> 15/06/05 16:52:49 INFO Remoting: Remoting started; listening on addresses :[akka
> .tcp://sparkDriver@Master:52137]
> 15/06/05 16:52:49 INFO util.Utils: Successfully started service 'sparkDriver' on
> port 52137.
> 15/06/05 16:52:49 INFO spark.SparkEnv: Registering MapOutputTracker
> 15/06/05 16:52:49 INFO spark.SparkEnv: Registering BlockManagerMaster
> 15/06/05 16:52:49 INFO storage.DiskBlockManager: Created local directory at C:\U
> sers\KAVEEN~1\AppData\Local\Temp\spark-d5b43891-274c-457d-aa3a-d79a536fd536\bloc
> kmgr-e980101b-4f93-455a-8a05-9185dcab9f8e
> 15/06/05 16:52:49 INFO storage.MemoryStore: MemoryStore started with capacity 26
> 5.4 MB
> 15/06/05 16:52:49 INFO spark.HttpFileServer: HTTP File server directory is C:\Us
> ers\KAVEEN~1\AppData\Local\Temp\spark-a35e3f17-641c-4ae3-90f2-51eac901b799\httpd
> -ecea93ad-c285-4c62-9222-01a9d6ff24e4
> 15/06/05 16:52:49 INFO spark.HttpServer: Starting HTTP Server
> 15/06/05 16:52:49 INFO server.Server: jetty-8.y.z-SNAPSHOT
> 15/06/05 16:52:49 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0
> :52138
> 15/06/05 16:52:49 INFO util.Utils: Successfully started service 'HTTP file serve
> r' on port 52138.
> 15/06/05 16:52:49 INFO spark.SparkEnv: Registering OutputCommitCoordinator
> 15/06/05 16:52:49 INFO server.Server: jetty-8.y.z-SNAPSHOT
> 15/06/05 16:52:49 INFO server.AbstractConnector: Started SelectChannelConnector@
> 0.0.0.0:4040
> 15/06/05 16:52:49 INFO util.Utils: Successfully started service 'SparkUI' on por
> t 4040.
> 15/06/05 16:52:49 INFO ui.SparkUI: Started SparkUI at http://Master:4040
> 15/06/05 16:52:49 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0
> :8032
> java.lang.NullPointerException
> at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:145)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:49)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstruct
> orAccessorImpl.java:57)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingC
> onstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:10
> 27)
> at $iwC$$iwC.<init>(<console>:9)
> at $iwC.<init>(<console>:18)
> at <init>(<console>:20)
> at .<init>(<console>:24)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.
> java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces
> sorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:
> 1065)
> at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:
> 1338)
> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840
> )
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:8
> 56)
> at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.sca
> la:901)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
> at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply
> (SparkILoopInit.scala:130)
> at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply
> (SparkILoopInit.scala:122)
> at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
> at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoop
> Init.scala:122)
> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
> ILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)
> at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.s
> cala:157)
> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
> at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkIL
> oopInit.scala:106)
> at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:
> 64)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
> ILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
> ILoop$$process$1.apply(SparkILoop.scala:944)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spark
> ILoop$$process$1.apply(SparkILoop.scala:944)
> at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClass
> Loader.scala:135)
> at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$pr
> ocess(SparkILoop.scala:944)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.
> java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces
> sorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSub
> mit$$runMain(SparkSubmit.scala:569)
> at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:150
> )
> at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:148
> )
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInforma
> tion.java:1614)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:14
> 8)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> <console>:10: error: not found: value sqlContext
> import sqlContext.implicits._
> ^
> <console>:10: error: not found: value sqlContext
> import sqlContext.sql
> ^
> scala>
> {code}
> Let me know, Is any changes need for spaced user machine?
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org