[
https://issues.apache.org/jira/browse/SPARK-15329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15283779#comment-15283779
]
Vijay Parmar edited comment on SPARK-15329 at 5/15/16 4:50 AM:
---------------------------------------------------------------
My pleasure!
If the issue has got resolved then you can close it. Otherwise, we can further
investigate the issue.
was (Author: vsparmar):
My pleasure!
> When start spark with yarn: spark.SparkContext: Error initializing
> SparkContext.
> ----------------------------------------------------------------------------------
>
> Key: SPARK-15329
> URL: https://issues.apache.org/jira/browse/SPARK-15329
> Project: Spark
> Issue Type: Bug
> Components: EC2
> Reporter: Jon
>
> Hi, Im trying to start spark with yarn-client, like this "spark-shell
> --master yarn-client" but Im getting the error below.
> If I start spark just with "spark-shell" everything works fine.
> I have a single node machine where I have all hadoop processes running, and a
> hive metastore server running.
> I already try more than 30 different configurations, but nothing is working,
> the config that I have now is this:
> core-site.xml:
> <configuration>
> <property>
> <name>fs.defaultFS</name>
> <value>hdfs://masternode:9000</value>
> </property>
> </configuration>
> hdfs-site.xml:
> <configuration>
> <property>
> <name>dfs.replication</name>
> <value>1</value>
> </property>
> </configuration>
> yarn-site.xml:
> <configuration>
> <property>
> <name>yarn.resourcemanager.resource-tracker.address</name>
> <value>masternode:8031</value>
> </property>
> <property>
> <name>yarn.resourcemanager.address</name>
> <value>masternode:8032</value>
> </property>
> <property>
> <name>yarn.resourcemanager.scheduler.address</name>
> <value>masternode:8030</value>
> </property>
> <property>
> <name>yarn.resourcemanager.admin.address</name>
> <value>masternode:8033</value>
> </property>
> <property>
> <name>yarn.resourcemanager.webapp.address</name>
> <value>masternode:8088</value>
> </property>
> </configuration>
> About spark confs:
> spark-env.sh:
> HADOOP_CONF_DIR=/usr/local/hadoop-2.7.1/hadoop
> SPARK_MASTER_IP=masternode
> spark-defaults.conf
> spark.master spark://masternode:7077
> spark.serializer org.apache.spark.serializer.KryoSerializer
> Do you understand why this is happening?
> hadoopadmin@mn:~$ spark-shell --master yarn-client
> 16/05/14 23:21:07 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 16/05/14 23:21:07 INFO spark.SecurityManager: Changing view acls to:
> hadoopadmin
> 16/05/14 23:21:07 INFO spark.SecurityManager: Changing modify acls to:
> hadoopadmin
> 16/05/14 23:21:07 INFO spark.SecurityManager: SecurityManager: authentication
> disabled; ui acls disabled; users with view permissions: Set(hadoopadmin);
> users with modify permissions: Set(hadoopadmin)
> 16/05/14 23:21:08 INFO spark.HttpServer: Starting HTTP Server
> 16/05/14 23:21:08 INFO server.Server: jetty-8.y.z-SNAPSHOT
> 16/05/14 23:21:08 INFO server.AbstractConnector: Started
> SocketConnector@0.0.0.0:36979
> 16/05/14 23:21:08 INFO util.Utils: Successfully started service 'HTTP class
> server' on port 36979.
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 1.6.1
> /_/
> Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_77)
> Type in expressions to have them evaluated.
> Type :help for more information.
> 16/05/14 23:21:12 INFO spark.SparkContext: Running Spark version 1.6.1
> 16/05/14 23:21:12 INFO spark.SecurityManager: Changing view acls to:
> hadoopadmin
> 16/05/14 23:21:12 INFO spark.SecurityManager: Changing modify acls to:
> hadoopadmin
> 16/05/14 23:21:12 INFO spark.SecurityManager: SecurityManager: authentication
> disabled; ui acls disabled; users with view permissions: Set(hadoopadmin);
> users with modify permissions: Set(hadoopadmin)
> 16/05/14 23:21:12 INFO util.Utils: Successfully started service 'sparkDriver'
> on port 33128.
> 16/05/14 23:21:13 INFO slf4j.Slf4jLogger: Slf4jLogger started
> 16/05/14 23:21:13 INFO Remoting: Starting remoting
> 16/05/14 23:21:13 INFO Remoting: Remoting started; listening on addresses
> :[akka.tcp://sparkDriverActorSystem@10.15.0.11:34382]
> 16/05/14 23:21:13 INFO util.Utils: Successfully started service
> 'sparkDriverActorSystem' on port 34382.
> 16/05/14 23:21:13 INFO spark.SparkEnv: Registering MapOutputTracker
> 16/05/14 23:21:13 INFO spark.SparkEnv: Registering BlockManagerMaster
> 16/05/14 23:21:13 INFO storage.DiskBlockManager: Created local directory at
> /tmp/blockmgr-a0048199-bf2f-404b-9cd2-b5988367783f
> 16/05/14 23:21:13 INFO storage.MemoryStore: MemoryStore started with capacity
> 511.1 MB
> 16/05/14 23:21:13 INFO spark.SparkEnv: Registering OutputCommitCoordinator
> 16/05/14 23:21:13 INFO server.Server: jetty-8.y.z-SNAPSHOT
> 16/05/14 23:21:13 INFO server.AbstractConnector: Started
> SelectChannelConnector@0.0.0.0:4040
> 16/05/14 23:21:13 INFO util.Utils: Successfully started service 'SparkUI' on
> port 4040.
> 16/05/14 23:21:13 INFO ui.SparkUI: Started SparkUI at http://10.15.0.11:4040
> 16/05/14 23:21:14 INFO client.RMProxy: Connecting to ResourceManager at
> localhost/127.0.0.1:8032
> 16/05/14 23:21:14 INFO yarn.Client: Requesting a new application from cluster
> with 1 NodeManagers
> 16/05/14 23:21:14 INFO yarn.Client: Verifying our application has not
> requested more than the maximum memory capability of the cluster (8192 MB per
> container)
> 16/05/14 23:21:14 INFO yarn.Client: Will allocate AM container, with 896 MB
> memory including 384 MB overhead
> 16/05/14 23:21:14 INFO yarn.Client: Setting up container launch context for
> our AM
> 16/05/14 23:21:14 INFO yarn.Client: Setting up the launch environment for our
> AM container
> 16/05/14 23:21:14 INFO yarn.Client: Preparing resources for our AM container
> 16/05/14 23:21:15 INFO yarn.Client: Uploading resource
> file:/usr/local/spark-1.6.1-bin-hadoop2.6/lib/spark-assembly-1.6.1-hadoop2.6.0.jar
> ->
> hdfs://localhost:9000/user/hadoopadmin/.sparkStaging/application_1463264445515_0001/spark-assembly-1.6.1-hadoop2.6.0.jar
> 16/05/14 23:21:17 INFO yarn.Client: Uploading resource
> file:/tmp/spark-3df9a858-4bdb-4c3f-87cb-8768fb2987e7/__spark_conf__6806563942591505644.zip
> ->
> hdfs://localhost:9000/user/hadoopadmin/.sparkStaging/application_1463264445515_0001/__spark_conf__6806563942591505644.zip
> 16/05/14 23:21:17 INFO spark.SecurityManager: Changing view acls to:
> hadoopadmin
> 16/05/14 23:21:17 INFO spark.SecurityManager: Changing modify acls to:
> hadoopadmin
> 16/05/14 23:21:17 INFO spark.SecurityManager: SecurityManager: authentication
> disabled; ui acls disabled; users with view permissions: Set(hadoopadmin);
> users with modify permissions: Set(hadoopadmin)
> 16/05/14 23:21:17 INFO yarn.Client: Submitting application 1 to
> ResourceManager
> 16/05/14 23:21:17 INFO impl.YarnClientImpl: Submitted application
> application_1463264445515_0001
> 16/05/14 23:21:19 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:19 INFO yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: N/A
> ApplicationMaster RPC port: -1
> queue: default
> start time: 1463264477898
> final status: UNDEFINED
> tracking URL:
> http://masternode:8088/proxy/application_1463264445515_0001/
> user: hadoopadmin
> 16/05/14 23:21:20 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:21 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:22 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:23 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:24 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: ACCEPTED)
> 16/05/14 23:21:24 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> ApplicationMaster registered as NettyRpcEndpointRef(null)
> 16/05/14 23:21:24 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter.
> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS
> -> masternode, PROXY_URI_BASES ->
> http://masternode:8088/proxy/application_1463264445515_0001),
> /proxy/application_1463264445515_0001
> 16/05/14 23:21:24 INFO ui.JettyUtils: Adding filter:
> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
> 16/05/14 23:21:25 INFO yarn.Client: Application report for
> application_1463264445515_0001 (state: RUNNING)
> 16/05/14 23:21:25 INFO yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.15.0.11
> ApplicationMaster RPC port: 0
> queue: default
> start time: 1463264477898
> final status: UNDEFINED
> tracking URL:
> http://masternode:8088/proxy/application_1463264445515_0001/
> user: hadoopadmin
> 16/05/14 23:21:25 INFO cluster.YarnClientSchedulerBackend: Application
> application_1463264445515_0001 has started running.
> 16/05/14 23:21:25 INFO util.Utils: Successfully started service
> 'org.apache.spark.network.netty.NettyBlockTransferService' on port 45282.
> 16/05/14 23:21:25 INFO netty.NettyBlockTransferService: Server created on
> 45282
> 16/05/14 23:21:25 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/05/14 23:21:25 INFO storage.BlockManagerMasterEndpoint: Registering block
> manager 10.15.0.11:45282 with 511.1 MB RAM, BlockManagerId(driver,
> 10.15.0.11, 45282)
> 16/05/14 23:21:25 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/05/14 23:21:31 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> ApplicationMaster registered as NettyRpcEndpointRef(null)
> 16/05/14 23:21:31 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter.
> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS
> -> masternode, PROXY_URI_BASES ->
> http://masternode:8088/proxy/application_1463264445515_0001),
> /proxy/application_1463264445515_0001
> 16/05/14 23:21:31 INFO ui.JettyUtils: Adding filter:
> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
> 16/05/14 23:21:34 ERROR cluster.YarnClientSchedulerBackend: Yarn application
> has already exited with state FINISHED!
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/metrics/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/api,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/static,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/executors/threadDump,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/executors/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/executors,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/environment/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/environment,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/storage/rdd,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/storage/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/storage,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/pool/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/pool,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/stage/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/stage,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/stages,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/jobs/job/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/jobs/job,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/jobs/json,null}
> 16/05/14 23:21:34 INFO handler.ContextHandler: stopped
> o.s.j.s.ServletContextHandler{/jobs,null}
> 16/05/14 23:21:34 INFO ui.SparkUI: Stopped Spark web UI at
> http://10.15.0.11:4040
> 16/05/14 23:21:34 INFO cluster.YarnClientSchedulerBackend: Shutting down all
> executors
> 16/05/14 23:21:34 INFO cluster.YarnClientSchedulerBackend: Asking each
> executor to shut down
> 16/05/14 23:21:34 INFO cluster.YarnClientSchedulerBackend: Stopped
> 16/05/14 23:21:34 INFO spark.MapOutputTrackerMasterEndpoint:
> MapOutputTrackerMasterEndpoint stopped!
> 16/05/14 23:21:34 INFO storage.MemoryStore: MemoryStore cleared
> 16/05/14 23:21:34 INFO storage.BlockManager: BlockManager stopped
> 16/05/14 23:21:34 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
> 16/05/14 23:21:34 INFO
> scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint:
> OutputCommitCoordinator stopped!
> 16/05/14 23:21:34 INFO remote.RemoteActorRefProvider$RemotingTerminator:
> Shutting down remote daemon.
> 16/05/14 23:21:34 INFO spark.SparkContext: Successfully stopped SparkContext
> 16/05/14 23:21:34 INFO remote.RemoteActorRefProvider$RemotingTerminator:
> Remote daemon shut down; proceeding with flushing remote transports.
> 16/05/14 23:21:34 INFO remote.RemoteActorRefProvider$RemotingTerminator:
> Remoting shut down.
> 16/05/14 23:21:44 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend
> is ready for scheduling beginning after waiting
> maxRegisteredResourcesWaitingTime: 30000(ms)
> 16/05/14 23:21:44 ERROR spark.SparkContext: Error initializing SparkContext.
> java.lang.NullPointerException
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:584)
> at
> org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
> at $line3.$read$$iwC$$iwC.<init>(<console>:15)
> at $line3.$read$$iwC.<init>(<console>:24)
> at $line3.$read.<init>(<console>:26)
> at $line3.$read$.<init>(<console>:30)
> at $line3.$read$.<clinit>(<console>)
> at $line3.$eval$.<init>(<console>:7)
> at $line3.$eval$.<clinit>(<console>)
> at $line3.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
> at
> org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
> at
> org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
> at
> org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 16/05/14 23:21:44 INFO spark.SparkContext: SparkContext already stopped.
> java.lang.NullPointerException
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:584)
> at
> org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
> at $iwC$$iwC.<init>(<console>:15)
> at $iwC.<init>(<console>:24)
> at <init>(<console>:26)
> at .<init>(<console>:30)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
> at
> org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
> at
> org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
> at
> org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> java.lang.NullPointerException
> at
> org.apache.spark.sql.SQLContext$.createListenerAndUI(SQLContext.scala:1367)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
> Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
> at $iwC$$iwC.<init>(<console>:15)
> at $iwC.<init>(<console>:24)
> at <init>(<console>:26)
> at .<init>(<console>:30)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132)
> at
> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
> at
> org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
> at
> org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
> at
> org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
> at
> org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> <console>:16: error: not found: value sqlContext
> import sqlContext.implicits._
> ^
> <console>:16: error: not found: value sqlContext
> import sqlContext.sql
> Versions:
> spark-1.6.1-bin-hadoop2.6.tgz and hadoop-2.7.1
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