[root@node1 ~]# spark-shell --master yarn-clientWarning: Master yarn-client is deprecated since 2.0. Please use master "yarn" with specified deploy mode instead.Using Spark's default log4j profile: org/apache/spark/log4j-defaults.propertiesSetting default log level to "WARN".To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).17/04/09 08:36:06 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable17/04/09 08:36:11 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.17/04/09 08:36:24 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:85) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:156) at org.apache.spark.SparkContext.<init>(SparkContext.scala:509) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2313) at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:868) at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:860) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:860) at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95) at $line3.$read$$iw$$iw.<init>(<console>:15) at $line3.$read$$iw.<init>(<console>:42)at $line3.$read.<init>(<console>:44)at $line3.$read$.<init>(<console>:48)at $line3.$read$.<clinit>(<console>)at $line3.$eval$.$print$lzycompute(<console>:7)at $line3.$eval$.$print(<console>:6)at $line3.$eval.$print(<console>)at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)at java.lang.reflect.Method.invoke(Method.java:498)at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638) at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637) at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31) at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19) at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637) at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569) at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565) at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807) at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681) at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:105)at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920) at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909) at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97) at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909) at org.apache.spark.repl.Main$.doMain(Main.scala:68) at org.apache.spark.repl.Main$.main(Main.scala:51) at org.apache.spark.repl.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:738) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)17/04/09 08:36:24 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to request executors before the AM has registered!17/04/09 08:36:24 WARN MetricsSystem: Stopping a MetricsSystem that is not runningorg.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:85) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:156) at org.apache.spark.SparkContext.<init>(SparkContext.scala:509) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2313) at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:868) at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:860) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:860) at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95) ... 47 elided<console>:14: error: not found: value spark import spark.implicits._ ^<console>:14: error: not found: value spark import spark.sql ^Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.1.0 /_/Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_112)Type in expressions to have them evaluated.Type :help for more information.scala>
YARN是正常啟動並執行。
[root@node1 ~]# tail -50 /opt/hadoop-2.7.3/logs/yarn-root-resourcemanager-node1.log at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611) at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824) at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601) at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421) at org.apache.hadoop.yarn.util.FSDownload.copy(FSDownload.java:253) at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:63) at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:361) at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:359) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698) at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:358) at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:62) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)Failing this attempt. Failing the application.2017-04-09 08:36:23,640 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: application_1491741099370_0002 State change from FINAL_SAVING to FAILED2017-04-09 08:36:23,640 WARN org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=root OPERATION=Application Finished - Failed TARGET=RMAppManager RESULT=FAILURE DESCRIPTION=App failed with state: FAILED PERMISSIONS=Application application_1491741099370_0002 failed 2 times due to AM Container for appattempt_1491741099370_0002_000002 exited with exitCode: -1000For more detailed output, check application tracking page:http://node1:8088/cluster/app/application_1491741099370_0002Then, click on links to logs of each attempt.Diagnostics: File file:/tmp/spark-b465ad00-e218-48b0-a85a-c00907c5015f/__spark_libs__8229958103392672487.zip does not existjava.io.FileNotFoundException: File file:/tmp/spark-b465ad00-e218-48b0-a85a-c00907c5015f/__spark_libs__8229958103392672487.zip does not exist at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611) at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824) at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601) at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421) at org.apache.hadoop.yarn.util.FSDownload.copy(FSDownload.java:253) at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:63) at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:361) at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:359) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698) at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:358) at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:62) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)Failing this attempt. Failing the application. APPID=application_1491741099370_00022017-04-09 08:36:23,641 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAppManager$ApplicationSummary: appId=application_1491741099370_0002,name=Spark shell,user=root,queue=default,state=FAILED,trackingUrl=http://node1:8088/cluster/app/application_1491741099370_0002,appMasterHost=N/A,startTime=1491741381902,finishTime=1491741383639,finalStatus=FAILED,memorySeconds=475,vcoreSeconds=0,preemptedAMContainers=0,preemptedNonAMContainers=0,preemptedResources=<memory:0\, vCores:0>,applicationType=SPARK2017-04-09 08:36:23,641 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: Application removed - appId: application_1491741099370_0002 user: root leaf-queue of parent: root #applications: 02017-04-09 08:39:12,559 INFO org.apache.hadoop.yarn