Hive
  1. Hive
  2. HIVE-7292 Hive on Spark
  3. HIVE-7327

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

    Details

    • Type: Sub-task Sub-task
    • Status: Resolved
    • Priority: Major Major
    • Resolution: Not A Problem
    • Affects Version/s: 0.13.0
    • Fix Version/s: None
    • Component/s: None
    • Labels:

      Description

      ExecMapper is Hive's mapper implementation for MapReduce. Table rows are read by MR framework and processed by ExecMapper.map() method, which invokes Hive's map-side operator tree starting from MapOperator. This task is to extract the map-side data processing offered by the operator tree so that it can be used by other execution engine such as Spark. This is purely refactoring the existing code.

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          People

          • Assignee:
            Xuefu Zhang
            Reporter:
            Xuefu Zhang
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            Dates

            • Created:
              Updated:
              Resolved:

              Development