无法找到或加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster

地图网站内容.xml ：

<configuration>
<property>
 <name>mapreduce.framework.name</name>
 <value>yarn</value>
</property>

<property>
 <name>yarn.app.mapreduce.am.env</name>
 <value>HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0</value>
</property>

<property>
 <name>mapreduce.map.env</name>
 <value>HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0</value>
</property>

<property>
 <name>mapreduce.reduce.env</name>
 <value>HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0</value>
</property>

<property> 
    <name>mapreduce.application.classpath</name>
    <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
</property>

</configuration>

虽然我已经设置了yarn.app.mapreduce.am.env和其他参数;我得到无法找到或加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster 错误。我正在尝试远程运行map reduce程序，其中hadoop安装在linux机器上，并且我正在Windows机器上运行它。以下是我的作业配置设置。

public class WordCount {
  public static void main(String[] args)
      throws IOException, ClassNotFoundException, InterruptedException {
    //
    UserGroupInformation ugi = UserGroupInformation.createRemoteUser("admin");
    ugi.doAs(new PrivilegedExceptionAction<Void>() {

      public Void run() throws Exception {
        try {
          Configuration configuration = new Configuration();

          configuration.set("yarn.resourcemanager.address", "192.168.33.75:50001"); // see step 3
          configuration.set("mapreduce.framework.name", "yarn");
          // configuration.set("yarn.app.mapreduce.am.env",
          // "HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
          // configuration.set("mapreduce.map.env", "HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
          // configuration.set("mapreduce.reduce.env",
          // "HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
          configuration.set("fs.defaultFS", "hdfs://192.168.33.75:54310"); // see step 2
          configuration.set("mapreduce.app-submission.cross-platform", "true");
          configuration.set("mapred.remote.os", "Linux");
          configuration.set("yarn.application.classpath",
              "$HADOOP_CONF_DIR:$HADOOP_COMMON_HOME/*:$HADOOP_COMMON_HOME/lib/*:"
                  + "$HADOOP_HDFS_HOME/*:$HADOOP_HDFS_HOME/lib/*:"
                  + "$HADOOP_YARN_HOME/*:$HADOOP_YARN_HOME/lib/*:"
                  + "$HADOOP_MAPRED_HOME/*:$HADOOP_MAPRED_HOME/lib/*");

          Job job = Job.getInstance(configuration);

          job.setJarByClass(WordCount.class); // use this when uploaded the Jar to the server and
                                              // running the job directly and locally on the server
          job.setOutputKeyClass(Text.class);
          job.setOutputValueClass(IntWritable.class);
          job.setMapperClass(MapForWordCount.class);
          job.setReducerClass(ReduceForWordCount.class);

          Path input = new Path("/user/admin/wordCountInput.txt");
          Path output = new Path("/user/admin/output");
          FileInputFormat.addInputPath(job, input);
          FileOutputFormat.setOutputPath(job, output);
          System.exit(job.waitForCompletion(true) ? 0 : 1);
        } catch (Exception e) {
          e.printStackTrace();
        }
        return null;
      }

    });


  }

请帮帮我。在过去的6天里，我一直被困在这个问题上。提前非常感谢。Hadoop 版本 ： 3.1.0