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Win7下无法提交MapReduce Job到集群环境(转)

时间:2015-12-20 15:51:14      阅读:497      评论:0      收藏:0      [点我收藏+]

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一. 对hadoop eclipse plugin认识不足

      http://zy19982004.iteye.com/blog/2024467曾经说到我最hadoop eclipse plugin作用的认识。但事实上我犯了一个错误,Win7 Eclipse里的MyWordCount程序一直在本地运行,没有提交到集群环境上运行(查看192.168.1.200:50030)没有这个Job。运行方式分为两种,右键Run As

  1. Java Application
  2. Run on Hadoop

     如果说Run As Java Application在本地运行还好说,它直接使用项目下的依赖的Hadoop Jar,使用Hdfs作为input,对MyWordCount main方法的一步步调用,把输出结果写入Hdfs完成。这一切都跟MapReduce集群无关。

     但Run on Hadoop为什么不行呢,难道这个插件的作用仅仅如http://zy19982004.iteye.com/blog/2024467说到的这么简单?

 

二. Hadoop2.x eclispe-plugin

      再次下载源码https://github.com/winghc/hadoop2x-eclipse-plugin。简单看了几个类,如

Java代码  技术分享
  1. Wizard for publishing a job to a Hadoop server  
  2. public class RunOnHadoopWizard extends Wizard {}  
  3.   
  4.   
  5. Representation of a Map/Reduce running job on a given location  
  6. public class HadoopJob {}  

      从注释就可以看出来插件是支持远程提交Job的。那是我使用不当吗?

 

 

三. Hadoop2.x eclispe-plugin工作原理

     Run on Hadoop时

  1. 会在EclipseWorkspace\.metadata\.plugins\org.apache.hadoop.eclipse\下生成一个MapReduce Jar和一个对应文件夹(包含core-site.xml)。我们在Eclipse里配置的Hadoop集群信息会写到core-site.xml里面。
  2. 然后把此Job依据配置信息提交到本地或者集群。

     我去看了下Job对应的core-site.xml,mapreduce.framework.name居然是local,yarn.resourcemanager.address居然是0.0.0.0:8032,于是回到Eclispe配置集群环境的地方,发现果然是这样的,也就是说插件根本没有把集群环境下的配置信息全部copy到Eclipse下。把Eclipse下这两项修改后,还是在本地运行,我就奇怪了,于是我在程序里加上

Java代码  技术分享
  1. conf.set("mapreduce.framework.name", "yarn");  
  2. conf.set("yarn.resourcemanager.address", "192.168.1.200:8032");  

      终于正常提交到集群环境了。我怀疑插件最后在什么地方还是读取到了local和0.0.0.0:8032,写入了core-site.xml,有时间再去看看插件的源码。

 

四. 继续出问题

     Job虽然是提交到了集群环境,但运行失败了。技术分享查看日志如下

Java代码  技术分享
  1. 2014-04-01 19:50:36,731 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Command to launch container container_1396351641800_0005_02_000001 :   
  2. %JAVA_HOME% -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=<LOG_DIR> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA  -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1><LOG_DIR>/stdout 2><LOG_DIR>/stderr   
  3. 2014-03-13 22:50:41,317 INFO  org.apache.hadoop.mapreduce.Job - Job job_1394710790246_0003 failed with state FAILED due to: Application application_1394710790246_0003 failed 2 times due to AM Container for appattempt_1394710790246_0003_000002 exited with  exitCode: 1 due to: Exception from container-launch:   
  4. org.apache.hadoop.util.Shell$ExitCodeException: /bin/bash: line 0: fg: no job control  
  5.   
  6.     at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)  
  7.     at org.apache.hadoop.util.Shell.run(Shell.java:379)  
  8.     at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)  
  9.     at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)  
  10.     at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)  
  11.     at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)  
  12.     at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:334)  
  13.     at java.util.concurrent.FutureTask.run(FutureTask.java:166)  
  14.     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)  
  15.     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)  
  16.     at java.lang.Thread.run(Thread.java:722)  
 

 

      上网找答案,发现是Hadoop本身的问题。

https://issues.apache.org/jira/browse/YARN-1298

https://issues.apache.org/jira/browse/MAPREDUCE-5655

 

五. 自己编译Hadoop2.2

  1.    下载Hadoop2.2源码http://apache.fayea.com/apache-mirror/hadoop/common/hadoop-2.2.0/hadoop-2.2.0-src.tar.gz
  2. 下载https://issues.apache.org/jira/i#browse/MAPREDUCE-5655两个patch
  3. 下载https://issues.apache.org/jira/i#browse/HADOOP-10110这个patch
  4. patch指令。patch -p0 < MRApps.patch。p0的0代表进去层次。不会的参考http://hi.baidu.com/thinkinginlamp/item/0ba1d051319b5ac09e2667f8
  5. 然后按照http://my.oschina.net/yiyuqiuchi/blog/188510去编译。hadoop-2.2.0-src/hadoop-dist/targethadoop-2.2.0.tar.gz就是编译好的。

     给两张patch前后的对照图

     下图左边为patch前Hadoop源码技术分享

      下图左边为patch成功后Hadoop源码技术分享

 

 

六. 使用自己编译的包

  1.       检查看看patch是否被打包进去了。通过查看MRApps.class字节码得知已经被打包进去。技术分享通过查看YARNRunner.class字节码也是正确的,我在YARNRunner.java里面设置了一个PATCH_TEST编译时常量,"zy19982004"的字节码已经被内嵌到class的字节码里。技术分享技术分享
  2. 替换集群Jar,因为上述三个patch只涉及到两个Jar,另外一个pacth是修改pom文件并且是scope test,可以不管。用hadoop-2.2.0\share\hadoop\mapreduce\hadoop-mapreduce-client-common-2.2.0.jar(MRApps.patch)替换集群下的对应jar,用hadoop-2.2.0\share\hadoop\mapreduce\hadoop-mapreduce-client-jobclient-2.2.0.jar(YARNRunner.patch)替换集群下的对应jar。
  3. 修改windows环境下的mapred-site.xml,添加
    Java代码  技术分享
    1. <property>  
    2.  <name>mapred.remote.os</name>  
    3.  <value>Linux</value>  
    4.  <description>Remote MapReduce framework‘s OS, can be either Linux or Windows</description>  
    5.  </property>  
      
  4. 重启集群,这个错误已经没有了,但出现了另外的错误。
    Java代码  技术分享
    1. Application application_1396339724108_0014 failed 2 times due to AM Container for appattempt_1396339724108_0014_000002 exited with exitCode: 1 due to: Exception from container-launch:  
    2. org.apache.hadoop.util.Shell$ExitCodeException:  
    3.   
    4. 2014-04-01 19:50:36,731 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Command to launch container container_1396351641800_0005_02_000001 :   
    5.   
    6. $JAVA_HOME/bin/java -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=<LOG_DIR> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA  -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1><LOG_DIR>/stdout 2><LOG_DIR>/stderr  
     然后
    Java代码  技术分享
    1. 1) Add such config property to your mapred-site.xml (client side only):  
    2. <property>  
    3. <name>mapreduce.application.classpath</name>  
    4. <value>  
    5. $HADOOP_CONF_DIR,  
    6. $HADOOP_COMMON_HOME/share/hadoop/common/*,  
    7. $HADOOP_COMMON_HOME/share/hadoop/common/lib/*,  
    8. $HADOOP_HDFS_HOME/share/hadoop/hdfs/*,  
    9. $HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*,  
    10. $HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,  
    11. $HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*,  
    12. $HADOOP_YARN_HOME/share/hadoop/yarn/*,  
    13. $HADOOP_YARN_HOME/share/hadoop/yarn/lib/*  
    14. </value>  
    15. </property>  
     
     终于成功了。。。

七. 不使用hadoop eclispe plugin的场景

      自己调试Hadoop源码的时候,Debug As Java Application即可。前面两篇博客解决错误都是通过debug源码来解决的。

 

八. 总结

     Window向Linux Hadoop提交作业的方法

  1. 配置好hadoop eclipse plugin。
  2. Job配置文件里mapreduce.framework.name为yarn。其它配置也需要正确。
  3. Run On Hadoop

     Run As Application其实也可以提交Job,依赖于上一次Run on Hadoop过程中产生的jar,这为我们debug提供了一种思路。

 

4 
0 
分享到: 技术分享 技术分享
评论
11 楼 zy19982004 2014-12-22   引用
,
songyuejs 写道
楼主,我按照你的帖子一步一步改到最后,结果还是有错误。我发现作业提交成功了,可是运行出现如下错误: 
2014-12-18 17:37:23,630 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Before Scheduling: PendingReds:1 ScheduledMaps:2 ScheduledReds:0 AssignedMaps:0 AssignedReds:0 CompletedMaps:0 CompletedReds:0 ContAlloc:0 ContRel:0 HostLocal:0 RackLocal:0 
2014-12-18 17:37:23,653 ERROR [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: ERROR IN CONTACTING RM. 
java.io.IOException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=-1, maxMemory=8192 
        at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:198)
        at org.apache.hadoop.yarn.server.resourcemanager.RMServerUtils.validateResourceRequests(RMServerUtils.java:78) 
        at org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:394)
        at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
        at org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2callBlockingMethod(ApplicationMasterProtocol.java:99)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585) 
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928) 
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048) 
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044) 
        at java.security.AccessController.doPrivileged(Native Method) 
        at javax.security.auth.Subject.doAs(Subject.java:415) 
能帮我看看是为什么吗,这种错误我在网上没看到过,真不知道怎么解决,谢谢了

  /** 
   * Utility method to validate a resource request, by insuring that the 
   * requested memory/vcore is non-negative and not greater than max 
   * 
   * @throws <code>InvalidResourceRequestException</code> when there is invalid 
   *         request 
   */ 
  public static void validateResourceRequest(ResourceRequest resReq, 
      Resource maximumResource) throws InvalidResourceRequestException { 
    if (resReq.getCapability().getMemory() < 0 || 
        resReq.getCapability().getMemory() > maximumResource.getMemory()) { 
      throw new InvalidResourceRequestException("Invalid resource request" 
          + ", requested memory < 0" 
          + ", or requested memory > max configured" 
          + ", requestedMemory=" + resReq.getCapability().getMemory() 
          + ", maxMemory=" + maximumResource.getMemory()); 
    } 


你可以自己看看源代码   为什么resReq.getCapability().getMemory()= -1
10 楼 songyuejs 2014-12-18   引用
楼主,我按照你的帖子一步一步改到最后,结果还是有错误。我发现作业提交成功了,可是运行出现如下错误:
2014-12-18 17:37:23,630 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Before Scheduling: PendingReds:1 ScheduledMaps:2 ScheduledReds:0 AssignedMaps:0 AssignedReds:0 CompletedMaps:0 CompletedReds:0 ContAlloc:0 ContRel:0 HostLocal:0 RackLocal:0
2014-12-18 17:37:23,653 ERROR [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: ERROR IN CONTACTING RM.
java.io.IOException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=-1, maxMemory=8192
        at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:198)
        at org.apache.hadoop.yarn.server.resourcemanager.RMServerUtils.validateResourceRequests(RMServerUtils.java:78)
        at org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:394)
        at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
        at org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2callBlockingMethod(ApplicationMasterProtocol.java:99)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
能帮我看看是为什么吗,这种错误我在网上没看到过,真不知道怎么解决,谢谢了
9 楼 wsy85 2014-08-13   引用
Java代码  技术分享
  1. log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).  
  2. log4j:WARN Please initialize the log4j system properly.  
  3. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.  
  4. Exception in thread "main" java.io.IOException: The ownership on the staging directory /tmp/hadoop-yarn/staging/simba/.staging is not as expected. It is owned by . The directory must be owned by the submitter simba or by simba  
  5.  at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:112)  
  6.  at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:344)  
  7.  at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)  
  8.  at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)  
  9.  at java.security.AccessController.doPrivileged(Native Method)  
  10.  at javax.security.auth.Subject.doAs(Unknown Source)  
  11.  at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)  
  12.  at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)  
  13.  at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1286)  
  14.  at WordCount.main(WordCount.java:111)  

在本地运行没问题,但加上你第三步说的那两行代码提交到集群上去执行就报如上异常。simba是我在hadoop集群的那台Linux的用户名,也是我win7的用户名。我重新设置了文件权限,甚至删除/tmp/目录里面的内容都无效。
8 楼 zy19982004 2014-06-27   引用
gao4263 写道
 

你的两个问题 
1.还是报错“exited with  exitCode: 1 due to: Exception from container-launch” 需要你自己去debug了 
2.ClassNotFoundException考虑插件是不是没有把jar包提交到hdfs上,也可以通过debug才看到。
7 楼 gao4263 2014-06-26   引用
楼主这个问题无解啊:
Error: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Map not found

我运行方式是 run on hadoop
6 楼 gao4263 2014-06-26   引用
gao4263 写道
技术分享 楼主 我下载了你的包还是报 
14/06/26 15:43:51 INFO mapreduce.Job: Job job_1403768617899_0002 failed with state FAILED due to: Application application_1403768617899_0002 failed 2 times due to AM Container for appattempt_1403768617899_0002_000002 exited with  exitCode: 1 due to: Exception from container-launch: 
org.apache.hadoop.util.Shell$ExitCodeException: 
at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)
at org.apache.hadoop.util.Shell.run(Shell.java:379)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)


1) Add such config property to your mapred-site.xml (client side only):  
<property>  
<name>mapreduce.application.classpath</name>  
<value>  
$HADOOP_CONF_DIR,  
$HADOOP_COMMON_HOME/share/hadoop/common/*,  
$HADOOP_COMMON_HOME/share/hadoop/common/lib/*,  
$HADOOP_HDFS_HOME/share/hadoop/hdfs/*,  
$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*,  
$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,  
$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*,  
$HADOOP_YARN_HOME/share/hadoop/yarn/*,  
$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*  
</value>  
</property>   这个一定要写才可以啊,
5 楼 gao4263 2014-06-26   引用
技术分享 楼主 我下载了你的包还是报 
14/06/26 15:43:51 INFO mapreduce.Job: Job job_1403768617899_0002 failed with state FAILED due to: Application application_1403768617899_0002 failed 2 times due to AM Container for appattempt_1403768617899_0002_000002 exited with  exitCode: 1 due to: Exception from container-launch: 
org.apache.hadoop.util.Shell$ExitCodeException: 
at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)
at org.apache.hadoop.util.Shell.run(Shell.java:379)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
4 楼 yuezhichao 2014-06-20   引用
右键 run on hadoop
3 楼 zy19982004 2014-06-03   引用
yuezhichao 写道
上面的错误我要怎么修改呀!

WordCount程序怎么运行的?
2 楼 yuezhichao 2014-06-01   引用
上面的错误我要怎么修改呀!
1 楼 yuezhichao 2014-06-01   引用
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Error: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getCombinerClass(JobConf.java:1139)
at org.apache.hadoop.mapred.Task$CombinerRunner.create(Task.java:1517)
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java:1010)
at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:390)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:418)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 11 more
Caused by: java.lang.ClassNotFoundException: Class test.WordCount$Reduce not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 12 more

Exception in thread "main" java.io.IOException: Job failed!
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:836)
at test.WordCount.main(WordCount.java:72)

Win7下无法提交MapReduce Job到集群环境(转)

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原文地址:http://www.cnblogs.com/sha0830/p/5060992.html

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