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查看调测结果

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更新时间: 2019/04/30 GMT+08:00

MapReduce应用程序运行完成后,可以通过WebUI查看应用程序运行情况,也可以通过MapReduce日志获取应用运行情况。

  • 通过MapReduce服务的WebUI进行查看

    登录MRS Manager,单击“服务管理 > MapReduce > JobHistoryServer”进入Web界面后查看任务执行状态。

    图1 JobHistory Web UI界面
  • 通过YARN服务的WebUI进行查看
    登录MRS Manager,单击“服务管理 > Yarn > ResourceManager(主)”进入Web界面后查看任务执行状态。
    图2 ResourceManager Web UI页面
  • 查看MapReduce应用运行结果数据。
    • 当用户在Linux环境下执行yarn jar mapreduce-example.jar命令后,可以通过执行结果显示正在执行的应用的运行情况。例如:
      yarn jar mapreduce-example.jar /tmp/mapred/example/input/ /tmp/root/output/1
      16/07/12 17:07:16 INFO hdfs.PeerCache: SocketCache disabled.
      16/07/12 17:07:17 INFO input.FileInputFormat: Total input files to process : 2
      16/07/12 17:07:18 INFO mapreduce.JobSubmitter: number of splits:2
      16/07/12 17:07:18 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1468241424339_0006
      16/07/12 17:07:18 INFO impl.YarnClientImpl: Submitted application application_1468241424339_0006
      16/07/12 17:07:18 INFO mapreduce.Job: The url to track the job: http://10-120-180-170:26000/proxy/application_1468241424339_0006/
      16/07/12 17:07:18 INFO mapreduce.Job: Running job: job_1468241424339_0006
      16/07/12 17:07:31 INFO mapreduce.Job: Job job_1468241424339_0006 running in uber mode : false
      16/07/12 17:07:31 INFO mapreduce.Job:  map 0% reduce 0%
      16/07/12 17:07:41 INFO mapreduce.Job:  map 50% reduce 0%
      16/07/12 17:07:43 INFO mapreduce.Job:  map 100% reduce 0%
      16/07/12 17:07:51 INFO mapreduce.Job:  map 100% reduce 100%
      16/07/12 17:07:51 INFO mapreduce.Job: Job job_1468241424339_0006 completed successfully
      16/07/12 17:07:51 INFO mapreduce.Job: Counters: 49
              File System Counters
                      FILE: Number of bytes read=75
                      FILE: Number of bytes written=435659
                      FILE: Number of read operations=0
                      FILE: Number of large read operations=0
                      FILE: Number of write operations=0
                      HDFS: Number of bytes read=674
                      HDFS: Number of bytes written=23
                      HDFS: Number of read operations=9
                      HDFS: Number of large read operations=0
                      HDFS: Number of write operations=2
              Job Counters 
                      Launched map tasks=2
                      Launched reduce tasks=1
                      Data-local map tasks=2
                      Total time spent by all maps in occupied slots (ms)=144984
                      Total time spent by all reduces in occupied slots (ms)=56280
                      Total time spent by all map tasks (ms)=18123
                      Total time spent by all reduce tasks (ms)=7035
                      Total vcore-milliseconds taken by all map tasks=18123
                      Total vcore-milliseconds taken by all reduce tasks=7035
                      Total megabyte-milliseconds taken by all map tasks=74231808
                      Total megabyte-milliseconds taken by all reduce tasks=28815360
              Map-Reduce Framework
                      Map input records=26
                      Map output records=16
                      Map output bytes=186
                      Map output materialized bytes=114
                      Input split bytes=230
                      Combine input records=16
                      Combine output records=6
                      Reduce input groups=3
                      Reduce shuffle bytes=114
                      Reduce input records=6
                      Reduce output records=2
                      Spilled Records=12
                      Shuffled Maps =2
                      Failed Shuffles=0
                      Merged Map outputs=2
                      GC time elapsed (ms)=202
                      CPU time spent (ms)=2720
                      Physical memory (bytes) snapshot=1595645952
                      Virtual memory (bytes) snapshot=12967759872
                      Total committed heap usage (bytes)=2403860480
              Shuffle Errors
                      BAD_ID=0
                      CONNECTION=0
                      IO_ERROR=0
                      WRONG_LENGTH=0
                      WRONG_MAP=0
                      WRONG_REDUCE=0
              File Input Format Counters 
                      Bytes Read=444
              File Output Format Counters 
                      Bytes Written=23
    • 在Linux环境下执行yarn application -status <ApplicationId> ,可以通过执行结果显示正在执行的应用的运行情况。例如:
      yarn application -status application_1468241424339_0006
      Application Report : 
              Application-Id : application_1468241424339_0006
              Application-Name : Collect Female Info
              Application-Type : MAPREDUCE
              User : root
              Queue : default
              Start-Time : 1468314438442
              Finish-Time : 1468314470080
              Progress : 100%
              State : FINISHED
              Final-State : SUCCEEDED
              Tracking-URL : http://10-120-180-170:26012/jobhistory/job/job_1468241424339_0006
              RPC Port : 27100
              AM Host : 10-120-169-46
              Aggregate Resource Allocation : 172153 MB-seconds, 64 vcore-seconds
              Log Aggregation Status : SUCCEEDED
              Diagnostics : Application finished execution. 
              Application Node Label Expression : <Not set>
              AM container Node Label Expression : <DEFAULT_PARTITION>
  • 查看MapReduce日志获取应用运行情况。

    您可以查看MapReduce日志了解应用运行情况,并根据日志信息调整应用程序。

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