[HIVE-7327] Refactoring: make Hive map side data processing reusable [Spark Branch]

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Affects Version/s: 0.13.0
• Labels: Spark-M1
• Assignee: Xuefu Zhang
• Reporter: Xuefu Zhang
• Created: 02/Jul/14 18:37
• Updated: 05/Sep/14 23:42
• Resolved: 05/Sep/14 23:42

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.