Hive
  1. Hive
  2. HIVE-7292 Hive on Spark
  3. HIVE-7328

Refactoring: make Hive reduce side data processing reusable [Spark Branch]

    Details

    • Type: Sub-task Sub-task
    • Status: Reopened
    • Priority: Major Major
    • Resolution: Unresolved
    • Affects Version/s: 0.13.0
    • Fix Version/s: None
    • Component/s: None
    • Labels:
      None

      Description

      ExecReducer is Hive's reducer implementation for MapReduce. Table rows are shuffled by MR framework to ExecReducer and further processed by ExecReducer.reduce() method, which invokes Hive's reduce-side operator tree starting. This task is to extract the reduce-side data processing offered by the operator tree so that it can be reused by other execution engine such as Spark. This is purely refactoring the existing code.

        Activity

        Xuefu Zhang created issue -
        Xuefu Zhang made changes -
        Field Original Value New Value
        Status Open [ 1 ] Resolved [ 5 ]
        Resolution Won't Fix [ 2 ]
        Chengxiang Li made changes -
        Resolution Won't Fix [ 2 ]
        Status Resolved [ 5 ] Reopened [ 4 ]
        Brock Noland made changes -
        Summary Refactoring: make Hive reduce side data processing reusable Refactoring: make Hive reduce side data processing reusable [Spark Branch]

          People

          • Assignee:
            Xuefu Zhang
            Reporter:
            Xuefu Zhang
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            Dates

            • Created:
              Updated:

              Development