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  1. Hadoop Common
  2. HADOOP-2559

DFS should place one replica per rack



    • Improvement
    • Status: Closed
    • Major
    • Resolution: Fixed
    • None
    • 0.17.0
    • None
    • None
    • Change DFS block placement to allocate the first replica locally, the second off-rack, and the third intra-rack from the second.


      Currently, when writing out a block, dfs will place one copy to a local data node, one copy to a rack local node
      and another one to a remote node. This leads to a number of undesired properties:

      1. The block will be rack-local to two tacks instead of three, reducing the advantage of rack locality based scheduling by 1/3.

      2. The Blocks of a file (especiallya large file) are unevenly distributed over the nodes: One third will be on the local node, and two thirds on the nodes on the same rack. This may make some nodes full much faster than others,
      increasing the need of rebalancing. Furthermore, this also make some nodes become "hot spots" if those big
      files are popular and accessed by many applications.


        1. HADOOP-2559-1.patch
          8 kB
          Lohit Vijaya Renu
        2. HADOOP-2559-1.patch
          8 kB
          Lohit Vijaya Renu
        3. HADOOP-2559-1-2.patch
          7 kB
          Lohit Vijaya Renu
        4. HADOOP-2559-1-3.patch
          7 kB
          Lohit Vijaya Renu
        5. HADOOP-2559-1-4.patch
          7 kB
          Lohit Vijaya Renu
        6. HADOOP-2559-2.patch
          11 kB
          Lohit Vijaya Renu
        7. Patch1_Block_Report.png.jpg
          52 kB
          Lohit Vijaya Renu
        8. Patch1_Rack_Node_Mapping.jpg
          34 kB
          Lohit Vijaya Renu
        9. Patch2_Rack_Node_Mapping.jpg
          35 kB
          Lohit Vijaya Renu
        10. Patch2 Block Report.jpg
          56 kB
          Lohit Vijaya Renu
        11. Trunk_Block_Report.png
          30 kB
          Lohit Vijaya Renu
        12. Trunk_Rack_Node_Mapping.jpg
          33 kB
          Lohit Vijaya Renu

        Issue Links



              lohit Lohit Vijaya Renu
              runping Runping Qi
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