我已经尝试运行hadoop wordcount示例一段时间了，但是我面临一些问题。我有hadoop2.7.1并在windows上运行它。以下是错误详细信息：
命令：

yarn jar C:\hadoop-2.7.1\share\hadoop\mapreduce\hadoop-mapreduce-examples-2.7.1.jar wordcount input output

输出：

INFO input.FileInputFormat: Total input paths to process : 1
INFO mapreduce.JobSubmitter: number of splits:1
INFO mapreduce.JobSubmitter: Submitting tokens for job: job_14
90853163147_0009
INFO impl.YarnClientImpl: Submitted application application_14
90853163147_0009
INFO mapreduce.Job: The url to track the job: http://*****
*****/proxy/application_1490853163147_0009/
INFO mapreduce.Job: Running job: job_1490853163147_0009
INFO mapreduce.Job: Job job_1490853163147_0009 running in uber
 mode : false
INFO mapreduce.Job:  map 0% reduce 0%
INFO mapreduce.Job: Job job_1490853163147_0009 failed with sta
te FAILED due to: Application application_1490853163147_0009 failed 2 times due
to AM Container for appattempt_1490853163147_0009_000002 exited with  exitCode:
1639
For more detailed output, check application tracking page:http://********
:****/cluster/app/application_1490853163147_0009Then, click on links to logs of
each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1490853163147_0009_02_000001
Exit code: 1639
Exception message: Incorrect command line arguments.
Stack trace: ExitCodeException exitCode=1639: Incorrect command line arguments.
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
        at org.apache.hadoop.util.Shell.run(Shell.java:456)
        at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:
722)
        at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.la
unchContainer(DefaultContainerExecutor.java:211)
        at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.C
ontainerLaunch.call(ContainerLaunch.java:302)
        at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.C
ontainerLaunch.call(ContainerLaunch.java:82)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.
java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor
.java:617)
        at java.lang.Thread.run(Thread.java:745)
Shell output:     Usage: task create [TASKNAME] [COMMAND_LINE] |
          task isAlive [TASKNAME] |
          task kill [TASKNAME]
          task processList [TASKNAME]
    Creates a new task jobobject with taskname
    Checks if task jobobject is alive
    Kills task jobobject
    Prints to stdout a list of processes in the task
    along with their resource usage. One process per line
    and comma separated info per process
    ProcessId,VirtualMemoryCommitted(bytes),
    WorkingSetSize(bytes),CpuTime(Millisec,Kernel+User)
Container exited with a non-zero exit code 1639
Failing this attempt. Failing the application.
INFO mapreduce.Job: Counters: 0

yarn-site.xml：

<configuration>
<property>
       <name>yarn.application.classpath</name>
       <value>
            C:\hadoop-2.7.1\etc\hadoop,
            C:\hadoop-2.7.1\share\hadoop\common\*,
            C:\hadoop-2.7.1\share\hadoop\common\lib\*,
            C:\hadoop-2.7.1\share\hadoop\hdfs\*,
            C:\hadoop-2.7.1\share\hadoop\hdfs\lib\*,
            C:\hadoop-2.7.1\share\hadoop\mapreduce\*,
            C:\hadoop-2.7.1\share\hadoop\mapreduce\lib\*,
            C:\hadoop-2.7.1\share\hadoop\yarn\*,
            C:\hadoop-2.7.1\share\hadoop\yarn\lib\*
       </value>
    </property>
  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>
  <property>
        <name>yarn.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage</name>
        <value>98.5</value>
</property>
<property>
  <name>yarn.nodemanager.resource.memory-mb</name>
  <value>2200</value>
  <description>Amount of physical memory, in MB, that can be allocated for containers.</description>
</property>
<property>
  <name>yarn.scheduler.minimum-allocation-mb</name>
  <value>500</value>
</property>
<property>
    <name>yarn.log-aggregation-enable</name>
    <value>true</value>
</property>
<property>
    <description>Where to aggregate logs to.</description>
    <name>yarn.nodemanager.remote-app-log-dir</name>
    <value>/tmp/logs</value>
</property>
<property>
    <name>yarn.log-aggregation.retain-seconds</name>
    <value>259200</value>
</property>
<property>
    <name>yarn.log-aggregation.retain-check-interval-seconds</name>
    <value>3600</value>
</property>
</configuration>

mapred.xml文件：

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0
  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
</configuration>

你知道哪里出了问题吗？