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  1. Hadoop Common
  2. HADOOP-3154

Job successful but dropping records (when disk full)

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Details

    • Bug
    • Status: Closed
    • Blocker
    • Resolution: Fixed
    • 0.16.1
    • 0.16.3
    • None
    • None
    • hadoop-0.16.1-H3011-H3033-H3056

    • Reviewed

    Description

      I have a mapreduce code that takes an input and just shuffles.

      1. of input should be equal to # of output.

      However, when disks of the nodes were filled accidentally, I started to see some records dropping, although jobs themselves were successful.

      08/03/30 00:17:04 INFO mapred.JobClient: Job complete: job_200803292134_0001
      08/03/30 00:17:04 INFO mapred.JobClient: Counters: 11
      08/03/30 00:17:04 INFO mapred.JobClient:   Job Counters
      08/03/30 00:17:04 INFO mapred.JobClient:     Launched map tasks=23
      08/03/30 00:17:04 INFO mapred.JobClient:     Launched reduce tasks=4
      08/03/30 00:17:04 INFO mapred.JobClient:   Map-Reduce Framework
      
      08/03/30 00:17:04 INFO mapred.JobClient:   Map-Reduce Framework
      08/03/30 00:17:04 INFO mapred.JobClient:     Map input records=6852926
      08/03/30 00:17:04 INFO mapred.JobClient:     Map output records=6852926
      08/03/30 00:17:04 INFO mapred.JobClient:     Map input bytes=18802382982
      08/03/30 00:17:04 INFO mapred.JobClient:     Map output bytes=21278202852
      08/03/30 00:17:04 INFO mapred.JobClient:     Combine input records=0
      08/03/30 00:17:04 INFO mapred.JobClient:     Combine output records=0
      08/03/30 00:17:04 INFO mapred.JobClient:     Reduce input groups=6722633
      08/03/30 00:17:04 INFO mapred.JobClient:     Reduce input records=6839731
      08/03/30 00:17:04 INFO mapred.JobClient:     Reduce output records=6839731
      

      Attachments

        1. 3154.patch
          1 kB
          Devaraj Das
        2. 3154-16.patch
          2 kB
          Devaraj Das

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              ddas Devaraj Das
              knoguchi Koji Noguchi
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              Dates

                Created:
                Updated:
                Resolved: