Win7下无法提交MapReduce Job到集群环境（转） / 憋错料

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

Java Application
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

Wizard for publishing a job to a Hadoop server
public class RunOnHadoopWizard extends Wizard {}
Representation of a Map/Reduce running job on a given location
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

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。
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

conf.set("mapreduce.framework.name", "yarn");
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。查看日志如下

Java代码

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 :
%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
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:
org.apache.hadoop.util.Shell$ExitCodeException: /bin/bash: line 0: fg: no job control
at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)
at org.apache.hadoop.util.Shell.run(Shell.java:379)
at org.apache.hadoop.util.Shell$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$Sync.innerRun(FutureTask.java:334)
at java.util.concurrent.FutureTask.run(FutureTask.java:166)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
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

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
下载https://issues.apache.org/jira/i#browse/MAPREDUCE-5655两个patch
下载https://issues.apache.org/jira/i#browse/HADOOP-10110这个patch
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
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

下图左边为patch成功后Hadoop源码

六. 使用自己编译的包

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。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。
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。
修改windows环境下的mapred-site.xml，添加
Java代码
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>
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
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. 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 :
4. $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
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

配置好hadoop eclipse plugin。
Job配置文件里mapreduce.framework.name为yarn。其它配置也需要正确。
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。

hadoop-mapreduce-client-common-2.2.0.jar (641.3 KB)
下载次数: 257

hadoop-mapreduce-client-jobclient-2.2.0.jar (34.5 KB)
下载次数: 192

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2014-03-14 15:27
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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

9 楼 wsy85 2014-08-13 引用

Java代码

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.
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
at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:112)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:344)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Unknown Source)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1286)
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

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

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

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)

时间： 2024-10-23 22:25:44

Win7下无法提交MapReduce Job到集群环境（转）

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