Uploaded image for project: 'Hadoop Map/Reduce'
  1. Hadoop Map/Reduce
  2. MAPREDUCE-4755

Rewrite MapOutputBuffer to use direct buffers & allow parallel sort+collect

    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Not A Problem
    • 3.0.0-alpha1
    • None
    • None
    • Ubuntu 12.10 x86_64 (Bulldozer 8-core)

    Description

      The MapOutputBuffer has been written with a very severe constraint on the amount of memory it can consume. This results in code that has to page-in & page-out (i.e spill) data as it passes through the map buffers.

      With the advent of the java.nio package, there is a fast and portable MMap alternative to handling your own buffers. This exists outside the GC space of Java and yet provides decently fast memory access to all the data.

      The suggestion is that using mmap() direct buffers can be faster when a spill is involved and simpler than the current spill logic when given enough address space & uses the buffer caches to deliver best effort I/O.

      Attachments

        Issue Links

          Activity

            People

              gopalv Gopal Vijayaraghavan
              gopalv Gopal Vijayaraghavan
              Votes:
              0 Vote for this issue
              Watchers:
              17 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: