Checking the Commissioning Result

Scenarios

After a MapReduce application is run, you can check the running result through one of the following methods:

• Viewing the command output
• Logging in to the MapReduce web UI
• Logging in to the Yarn web UI
• Viewing MapReduce logs

Contact the administrator to obtain a service account that has the right to access the web UI and its password.

Procedure

• Viewing job execution status by using the MapReduce Web UI

  Log in to FusionInsight Manager as a user who has the permission to view tasks. Choose Cluster > Service > Mapreduce > JobHistoryServer to go to the web page and view the task execution status.

  Figure 1 JobHistory web UI
  
• Viewing job execution status by using Yarn web UI
  Log in to FusionInsight Manager as a user who has the permission to view tasks. Choose Cluster > Service > Yarn > ResourceManager(Active) to go to the web page and view the task execution status.

  Figure 2 ResourceManager web UI
  

• Viewing the running result of a MapReduce application
  • After running the yarn jar MRTest-XXX.jar command in the Linux environment, you can view the running status of the running application in the command output. The following is an example.

    linux1:/opt # yarn jar MRTest-XXX.jar /user/mapred/example/input/ /output6
    16/02/24 15:45:40 INFO security.UserGroupInformation: Login successful for user admin@<system domain name> using keytab file user.keytab
    Login success!!!!!!!!!!!!!!
    16/02/24 15:45:40 INFO hdfs.PeerCache: SocketCache disabled.
    16/02/24 15:45:41 INFO hdfs.DFSClient: Created HDFS_DELEGATION_TOKEN token 28 for admin on ha-hdfs:hacluster
    16/02/24 15:45:41 INFO security.TokenCache: Got dt for hdfs://hacluster; Kind: HDFS_DELEGATION_TOKEN, Service: ha-hdfs:hacluster, Ident: (HDFS_DELEGATION_TOKEN token 28 for admin)
    16/02/24 15:45:41 INFO input.FileInputFormat: Total input files to process : 2
    16/02/24 15:45:41 INFO mapreduce.JobSubmitter: number of splits:2
    16/02/24 15:45:42 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1455853029114_0027
    16/02/24 15:45:42 INFO mapreduce.JobSubmitter: Kind: HDFS_DELEGATION_TOKEN, Service: ha-hdfs:hacluster, Ident: (HDFS_DELEGATION_TOKEN token 28 for admin)
    16/02/24 15:45:42 INFO impl.YarnClientImpl: Submitted application application_1455853029114_0027
    16/02/24 15:45:42 INFO mapreduce.Job: The url to track the job: https://linux1:8090/proxy/application_1455853029114_0027/
    16/02/24 15:45:42 INFO mapreduce.Job: Running job: job_1455853029114_0027
    16/02/24 15:45:50 INFO mapreduce.Job: Job job_1455853029114_0027 running in uber mode : false
    16/02/24 15:45:50 INFO mapreduce.Job:  map 0% reduce 0%
    16/02/24 15:45:56 INFO mapreduce.Job:  map 100% reduce 0%
    16/02/24 15:46:03 INFO mapreduce.Job:  map 100% reduce 100%
    16/02/24 15:46:03 INFO mapreduce.Job: Job job_1455853029114_0027 completed successfully
    16/02/24 15:46:03 INFO mapreduce.Job: Counters: 49

  • After you run the yarn application -status <ApplicationID> command in the Linux environment, view the application running status in the command output. The following is an example.

    linux1:/opt # yarn application -status application_1455853029114_0027
    Application Report : 
            Application-Id : application_1455853029114_0027
            Application-Name : Collect Female Info
            Application-Type : MAPREDUCE
            User : admin
            Queue : default
            Start-Time : 1456299942302
            Finish-Time : 1456299962343
            Progress : 100%
            State : FINISHED
            Final-State : SUCCEEDED
            Tracking-URL : https://linux1:26014/jobhistory/job/job_1455853029114_0027
            RPC Port : 27100
            AM Host : SZV1000044726
            Aggregate Resource Allocation : 114106 MB-seconds, 42 vcore-seconds
            Log Aggregation Status : SUCCEEDED
            Diagnostics : Application finished execution. 
            Application Node Label Expression : <Not set>
            AM container Node Label Expression : <DEFAULT_PARTITION>

• Viewing MapReduce logs to learn application running status

  You can view MapReduce logs to learn application running status and adjust applications based on log information.