如何使用Java -jar命令运行映射减少作业

我使用Java编写Map reduce Job.设置配置

                    Configuration configuration = new Configuration();

        configuration.set("fs.defaultFS", "hdfs://127.0.0.1:9000");
        configuration.set("mapreduce.job.tracker", "localhost:54311");

        configuration.set("mapreduce.framework.name", "yarn");
        configuration.set("yarn.resourcemanager.address", "localhost:8032");

使用不同的案例运行

案例1:"使用Hadoop和Yarn命令":成功完成工作

案例2:"使用Eclipse":成功做好工作

案例3:"删除所有configuration.set()后使用Java -jar":

                    Configuration configuration = new Configuration();

        Run successful but not display Job status on Yarn (default port number 8088)

案例4:"使用Java -jar":错误

     Find stack trace:Exception in thread "main" java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.
at org.apache.hadoop.mapreduce.Cluster.initialize(Cluster.java:120)
at org.apache.hadoop.mapreduce.Cluster.(Cluster.java:82)
at org.apache.hadoop.mapreduce.Cluster.(Cluster.java:75)
at org.apache.hadoop.mapreduce.Job$9.run(Job.java:1255)
at org.apache.hadoop.mapreduce.Job$9.run(Job.java:1251)
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:1556)
at org.apache.hadoop.mapreduce.Job.connect(Job.java:1250)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1279)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1303)
at com.my.cache.run.MyTool.run(MyTool.java:38)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at com.my.main.Main.main(Main.java:45)

我请你告诉我如何使用"Java -jar"命令运行map-reduce作业,还能检查状态并登录Yarn(默认端口8088).

为什么需要:想要创建Web服务并提交map-reduce作业.(不使用Java运行时库来执行Yarn或Hadoop命令).