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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 4.0.0, 4.0.0-alpha-1
    • Spark
    • None

    Description

      For Hive-on-MR, each MR job launched prints out some stats about the job:

      INFO  : 2018-02-07 17:51:11,218 Stage-1 map = 0%,  reduce = 0%
      INFO  : 2018-02-07 17:51:18,396 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.87 sec
      INFO  : 2018-02-07 17:51:25,742 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 4.34 sec
      INFO  : MapReduce Total cumulative CPU time: 4 seconds 340 msec
      INFO  : Ended Job = job_1517865654989_0004
      INFO  : MapReduce Jobs Launched:
      INFO  : Stage-Stage-1: Map: 1  Reduce: 1   Cumulative CPU: 4.34 sec   HDFS Read: 7353 HDFS Write: 151 SUCCESS
      INFO  : Total MapReduce CPU Time Spent: 4 seconds 340 msec
      

      We should do the same for Hive-on-Spark.

      Attachments

        1. HIVE-18652.1.patch
          23 kB
          Sahil Takiar
        2. HIVE-18652.2.patch
          23 kB
          Sahil Takiar
        3. HIVE-18652.3.patch
          23 kB
          Sahil Takiar
        4. HIVE-18652.4.patch
          23 kB
          Sahil Takiar
        5. HIVE-18652.5.patch
          23 kB
          Sahil Takiar
        6. HIVE-18652.6.patch
          23 kB
          Sahil Takiar
        7. HIVE-18652.7.patch
          24 kB
          Sahil Takiar
        8. HIVE-18652.8.patch
          25 kB
          Sahil Takiar

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              stakiar Sahil Takiar
              stakiar Sahil Takiar
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              Dates

                Created:
                Updated:
                Resolved: