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Posted to issues@spark.apache.org by "Kaveen Raajan (JIRA)" <ji...@apache.org> on 2015/06/05 13:43:00 UTC
[jira] [Commented] (SPARK-5493) Support proxy users under kerberos
[ https://issues.apache.org/jira/browse/SPARK-5493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14574359#comment-14574359 ]
Kaveen Raajan commented on SPARK-5493:
--------------------------------------
I'm using *SPARK-1.3.1* 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@synclapn3408.CONTOSO: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://synclapn3408.CONTOS
O: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?
> Support proxy users under kerberos
> ----------------------------------
>
> Key: SPARK-5493
> URL: https://issues.apache.org/jira/browse/SPARK-5493
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.2.0
> Reporter: Brock Noland
> Assignee: Marcelo Vanzin
> Fix For: 1.3.0
>
>
> When using kerberos, services may want to use spark-submit to submit jobs as a separate user. For example a service like hive might want to submit jobs as a client user.
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