Uploaded image for project: 'Hadoop Map/Reduce'
  1. Hadoop Map/Reduce
  2. MAPREDUCE-7158

Inefficient Flush Logic in JobHistory EventWriter

    XMLWordPrintableJSON

Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 3.2.0
    • 3.1.2, 3.3.0, 3.2.1
    • None
    • None
    • Reviewed

    Description

      In HDFS, if the flush is implemented to send server request to actually commit the pending writes on the storage service side, we could observe in the benchmark runs that the MR jobs are taking much longer. From investigation we see the current implementation for writing events doesn't look right:
      EventWriter# write()
      This flush is redundant and this statement should be removed. It defeats the purpose of having a separate flush function itself.
      Encoder.flush calls flush of the underlying output stream
      After patching with the fix the MR jobs could complete normally, please kindly find the patch in attached.

      Attachments

        1. MAPREDUCE-7158-001.patch
          1 kB
          Zichen Sun

        Issue Links

          breaks

          Bug - A problem which impairs or prevents the functions of the product. MAPREDUCE-7162 TestEvents#testEvents fails

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved

          Activity

            People

              zichensun Zichen Sun
              zichensun Zichen Sun
              Votes:
              0 Vote for this issue
              Watchers:
              3 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: