执行Spark运行在yarn上的命令报错 spark-shell --master yarn-client

1、执行Spark运行在yarn上的命令报错 spark-shell --master yarn-client，错误如下所示：

18/04/22 09:28:22 ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:123)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
    at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:523)
    at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
    at $line3.$read$$iwC$$iwC.<init>(<console>:9)
    at $line3.$read$$iwC.<init>(<console>:18)
    at $line3.$read.<init>(<console>:20)
    at $line3.$read$.<init>(<console>:24)
    at $line3.$read$.<clinit>(<console>)
    at $line3.$eval$.<init>(<console>:7)
    at $line3.$eval$.<clinit>(<console>)
    at $line3.$eval.$print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
    at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
    at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
    at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
    at org.apache.spark.repl.SparkILoopInit$$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$$process(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
    at org.apache.spark.repl.Main$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
18/04/22 09:28:22 INFO SparkUI: Stopped Spark web UI at http://192.168.19.131:4040
18/04/22 09:28:22 INFO DAGScheduler: Stopping DAGScheduler
18/04/22 09:28:22 INFO YarnClientSchedulerBackend: Shutting down all executors
18/04/22 09:28:22 INFO YarnClientSchedulerBackend: Asking each executor to shut down
18/04/22 09:28:22 INFO YarnClientSchedulerBackend: Stopped
18/04/22 09:28:22 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/04/22 09:28:22 ERROR Utils: Uncaught exception in thread main
java.lang.NullPointerException
    at org.apache.spark.network.netty.NettyBlockTransferService.close(NettyBlockTransferService.scala:152)
    at org.apache.spark.storage.BlockManager.stop(BlockManager.scala:1228)
    at org.apache.spark.SparkEnv.stop(SparkEnv.scala:100)
    at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1749)
    at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1185)
    at org.apache.spark.SparkContext.stop(SparkContext.scala:1748)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:593)
    at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
    at $line3.$read$$iwC$$iwC.<init>(<console>:9)
    at $line3.$read$$iwC.<init>(<console>:18)
    at $line3.$read.<init>(<console>:20)
    at $line3.$read$.<init>(<console>:24)
    at $line3.$read$.<clinit>(<console>)
    at $line3.$eval$.<init>(<console>:7)
    at $line3.$eval$.<clinit>(<console>)
    at $line3.$eval.$print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    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$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
18/04/22 09:28:22 INFO SparkContext: Successfully stopped SparkContext
org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:123)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
    at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:523)
    at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
    at $iwC$$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 $print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    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$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

java.lang.NullPointerException
    at org.apache.spark.sql.execution.ui.SQLListener.<init>(SQLListener.scala:34)
    at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:77)
    at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:72)
    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:526)
    at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
    at $iwC$$iwC.<init>(<console>:9)
    at $iwC.<init>(<console>:18)
    at <init>(<console>:20)
    at .<init>(<console>:24)
    at .<clinit>(<console>)
    at .<init>(<console>:7)
    at .<clinit>(<console>)
    at $print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
    at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
    at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
    at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
    at org.apache.spark.repl.SparkILoopInit$$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$$process(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
    at org.apache.spark.repl.Main$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    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

 解决方法如下所示:

参考文章：https://blog.csdn.net/chengyuqiang/article/details/69934382

 HADOOP_CONF_DIR的路径应该是如下所示，开始我写的是/home/hadoop/soft/hadoop-2.5.0-cdh5.3.6

下面分别是运行失败前和运行成功后的效果如下所示：

命令运行如下所示：

[hadoop@slaver1 spark-1.5.1-bin-hadoop2.4]$ spark-shell --master yarn-client
18/04/22 09:37:29 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/04/22 09:37:30 INFO SecurityManager: Changing view acls to: hadoop
18/04/22 09:37:30 INFO SecurityManager: Changing modify acls to: hadoop
18/04/22 09:37:30 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/04/22 09:37:30 INFO HttpServer: Starting HTTP Server
18/04/22 09:37:30 INFO Utils: Successfully started service 'HTTP class server' on port 52507.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.5.1
      /_/

Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
18/04/22 09:37:47 INFO SparkContext: Running Spark version 1.5.1
18/04/22 09:37:47 WARN SparkConf: 
SPARK_WORKER_INSTANCES was detected (set to '1').
This is deprecated in Spark 1.0+.

Please instead use:
 - ./spark-submit with --num-executors to specify the number of executors
 - Or set SPARK_EXECUTOR_INSTANCES
 - spark.executor.instances to configure the number of instances in the spark config.
        
18/04/22 09:37:48 INFO SecurityManager: Changing view acls to: hadoop
18/04/22 09:37:48 INFO SecurityManager: Changing modify acls to: hadoop
18/04/22 09:37:48 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/04/22 09:37:50 INFO Slf4jLogger: Slf4jLogger started
18/04/22 09:37:50 INFO Remoting: Starting remoting
18/04/22 09:37:51 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.19.131:33571]
18/04/22 09:37:51 INFO Utils: Successfully started service 'sparkDriver' on port 33571.
18/04/22 09:37:51 INFO SparkEnv: Registering MapOutputTracker
18/04/22 09:37:52 INFO SparkEnv: Registering BlockManagerMaster
18/04/22 09:37:52 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-309a3ff2-fb4f-4f01-a5d9-2ab7db4d765c
18/04/22 09:37:52 INFO MemoryStore: MemoryStore started with capacity 534.5 MB
18/04/22 09:37:53 INFO HttpFileServer: HTTP File server directory is /tmp/spark-049ba1b9-9305-4745-b3dc-34f44c846003/httpd-d1991045-b8e1-419f-9335-a4c7762e1e2c
18/04/22 09:37:53 INFO HttpServer: Starting HTTP Server
18/04/22 09:37:54 INFO Utils: Successfully started service 'HTTP file server' on port 47488.
18/04/22 09:37:54 INFO SparkEnv: Registering OutputCommitCoordinator
18/04/22 09:37:55 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/04/22 09:37:55 INFO SparkUI: Started SparkUI at http://192.168.19.131:4040
18/04/22 09:37:55 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
18/04/22 09:37:55 WARN YarnClientSchedulerBackend: NOTE: SPARK_WORKER_MEMORY is deprecated. Use SPARK_EXECUTOR_MEMORY or --executor-memory through spark-submit instead.
18/04/22 09:37:55 WARN YarnClientSchedulerBackend: NOTE: SPARK_WORKER_CORES is deprecated. Use SPARK_EXECUTOR_CORES or --executor-cores through spark-submit instead.
18/04/22 09:37:56 INFO RMProxy: Connecting to ResourceManager at slaver1/192.168.19.131:8032
18/04/22 09:37:57 INFO Client: Requesting a new application from cluster with 2 NodeManagers
18/04/22 09:37:57 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
18/04/22 09:37:57 INFO Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
18/04/22 09:37:57 INFO Client: Setting up container launch context for our AM
18/04/22 09:37:57 INFO Client: Setting up the launch environment for our AM container
18/04/22 09:37:57 INFO Client: Preparing resources for our AM container
18/04/22 09:37:59 INFO Client: Uploading resource file:/home/hadoop/soft/spark-1.5.1-bin-hadoop2.4/lib/spark-assembly-1.5.1-hadoop2.4.0.jar -> hdfs://slaver1:9000/user/hadoop/.sparkStaging/application_1524368034702_0002/spark-assembly-1.5.1-hadoop2.4.0.jar
18/04/22 09:39:00 INFO Client: Uploading resource file:/tmp/spark-049ba1b9-9305-4745-b3dc-34f44c846003/__spark_conf__1110039413441655708.zip -> hdfs://slaver1:9000/user/hadoop/.sparkStaging/application_1524368034702_0002/__spark_conf__1110039413441655708.zip
18/04/22 09:39:02 INFO SecurityManager: Changing view acls to: hadoop
18/04/22 09:39:02 INFO SecurityManager: Changing modify acls to: hadoop
18/04/22 09:39:02 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop)
18/04/22 09:39:02 INFO Client: Submitting application 2 to ResourceManager
18/04/22 09:39:11 INFO YarnClientImpl: Submitted application application_1524368034702_0002
18/04/22 09:39:12 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:12 INFO Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: root.hadoop
     start time: 1524404348688
     final status: UNDEFINED
     tracking URL: http://slaver1:8088/proxy/application_1524368034702_0002/
     user: hadoop
18/04/22 09:39:14 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:15 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:16 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:17 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:18 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:19 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:20 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:21 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:22 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:23 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:24 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:25 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:26 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:27 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:28 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:29 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:30 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:31 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:32 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:33 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:34 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:35 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:36 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:37 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:38 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:39 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:41 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:42 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:43 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:44 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:45 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:46 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:47 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:48 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:49 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:50 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:51 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:52 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:52 INFO YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as AkkaRpcEndpointRef(Actor[akka.tcp://sparkYarnAM@192.168.19.132:39065/user/YarnAM#-650752241])
18/04/22 09:39:52 INFO YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> slaver1, PROXY_URI_BASES -> http://slaver1:8088/proxy/application_1524368034702_0002), /proxy/application_1524368034702_0002
18/04/22 09:39:52 INFO JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
18/04/22 09:39:53 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:54 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:55 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:56 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:57 INFO Client: Application report for application_1524368034702_0002 (state: ACCEPTED)
18/04/22 09:39:58 INFO Client: Application report for application_1524368034702_0002 (state: RUNNING)
18/04/22 09:39:58 INFO Client: 
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.19.132
     ApplicationMaster RPC port: 0
     queue: root.hadoop
     start time: 1524404348688
     final status: UNDEFINED
     tracking URL: http://slaver1:8088/proxy/application_1524368034702_0002/
     user: hadoop
18/04/22 09:39:58 INFO YarnClientSchedulerBackend: Application application_1524368034702_0002 has started running.
18/04/22 09:40:40 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 49581.
18/04/22 09:40:40 INFO NettyBlockTransferService: Server created on 49581
18/04/22 09:40:40 INFO BlockManagerMaster: Trying to register BlockManager
18/04/22 09:40:40 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.19.131:49581 with 534.5 MB RAM, BlockManagerId(driver, 192.168.19.131, 49581)
18/04/22 09:40:40 INFO BlockManagerMaster: Registered BlockManager
18/04/22 09:40:44 INFO EventLoggingListener: Logging events to hdfs://slaver1:9000/spark/history/application_1524368034702_0002.snappy
18/04/22 09:40:46 INFO YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after waiting maxRegisteredResourcesWaitingTime: 30000(ms)
18/04/22 09:40:46 INFO SparkILoop: Created spark context..
Spark context available as sc.
18/04/22 09:41:03 INFO YarnClientSchedulerBackend: Registered executor: AkkaRpcEndpointRef(Actor[akka.tcp://sparkExecutor@slaver2:44020/user/Executor#-1604999953]) with ID 1
18/04/22 09:41:05 INFO BlockManagerMasterEndpoint: Registering block manager slaver2:34012 with 417.6 MB RAM, BlockManagerId(1, slaver2, 34012)
18/04/22 09:41:06 INFO HiveContext: Initializing execution hive, version 1.2.1
18/04/22 09:41:07 INFO ClientWrapper: Inspected Hadoop version: 2.4.0
18/04/22 09:41:07 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.0
18/04/22 09:41:12 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
18/04/22 09:41:12 INFO ObjectStore: ObjectStore, initialize called
18/04/22 09:41:13 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
18/04/22 09:41:13 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
18/04/22 09:41:13 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/04/22 09:41:16 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/04/22 09:41:21 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
18/04/22 09:41:26 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:26 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:32 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:32 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:34 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
18/04/22 09:41:34 INFO ObjectStore: Initialized ObjectStore
18/04/22 09:41:35 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
18/04/22 09:41:36 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
18/04/22 09:41:37 INFO HiveMetaStore: Added admin role in metastore
18/04/22 09:41:37 INFO HiveMetaStore: Added public role in metastore
18/04/22 09:41:38 INFO HiveMetaStore: No user is added in admin role, since config is empty
18/04/22 09:41:39 INFO HiveMetaStore: 0: get_all_databases
18/04/22 09:41:39 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_all_databases    
18/04/22 09:41:39 INFO HiveMetaStore: 0: get_functions: db=default pat=*
18/04/22 09:41:39 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_functions: db=default pat=*    
18/04/22 09:41:39 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:43 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop
18/04/22 09:41:43 INFO SessionState: Created local directory: /tmp/a864abec-e802-46d6-9440-168ef2747988_resources
18/04/22 09:41:43 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a864abec-e802-46d6-9440-168ef2747988
18/04/22 09:41:43 INFO SessionState: Created local directory: /tmp/hadoop/a864abec-e802-46d6-9440-168ef2747988
18/04/22 09:41:43 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/a864abec-e802-46d6-9440-168ef2747988/_tmp_space.db
18/04/22 09:41:46 INFO HiveContext: default warehouse location is /user/hive/warehouse
18/04/22 09:41:46 INFO HiveContext: Initializing HiveMetastoreConnection version 1.2.1 using Spark classes.
18/04/22 09:41:46 INFO ClientWrapper: Inspected Hadoop version: 2.4.0
18/04/22 09:41:47 INFO ClientWrapper: Loaded org.apache.hadoop.hive.shims.Hadoop23Shims for Hadoop version 2.4.0
18/04/22 09:41:49 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/04/22 09:41:49 INFO HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
18/04/22 09:41:50 INFO ObjectStore: ObjectStore, initialize called
18/04/22 09:41:50 INFO Persistence: Property datanucleus.cache.level2 unknown - will be ignored
18/04/22 09:41:50 INFO Persistence: Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
18/04/22 09:41:50 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/04/22 09:41:52 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
18/04/22 09:41:53 INFO ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
18/04/22 09:41:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:56 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:41:57 INFO Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
18/04/22 09:41:57 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY
18/04/22 09:41:57 INFO ObjectStore: Initialized ObjectStore
18/04/22 09:41:57 INFO HiveMetaStore: Added admin role in metastore
18/04/22 09:41:57 INFO HiveMetaStore: Added public role in metastore
18/04/22 09:41:58 INFO HiveMetaStore: No user is added in admin role, since config is empty
18/04/22 09:41:58 INFO HiveMetaStore: 0: get_all_databases
18/04/22 09:41:58 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_all_databases    
18/04/22 09:41:58 INFO HiveMetaStore: 0: get_functions: db=default pat=*
18/04/22 09:41:58 INFO audit: ugi=hadoop    ip=unknown-ip-addr    cmd=get_functions: db=default pat=*    
18/04/22 09:41:58 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
18/04/22 09:42:06 INFO SessionState: Created local directory: /tmp/5990c858-3991-40f6-80a5-cb10039ec99a_resources
18/04/22 09:42:06 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/5990c858-3991-40f6-80a5-cb10039ec99a
18/04/22 09:42:06 INFO SessionState: Created local directory: /tmp/hadoop/5990c858-3991-40f6-80a5-cb10039ec99a
18/04/22 09:42:06 INFO SessionState: Created HDFS directory: /tmp/hive/hadoop/5990c858-3991-40f6-80a5-cb10039ec99a/_tmp_space.db
18/04/22 09:42:06 INFO SparkILoop: Created sql context (with Hive support)..
SQL context available as sqlContext.

scala>