[jira] [Created] (SPARK-20682) Support a new faster ORC data source based on Apache ORC

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

Dongjoon Hyun created SPARK-20682:
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             Summary: Support a new faster ORC data source based on Apache ORC
                 Key: SPARK-20682
                 URL: https://issues.apache.org/jira/browse/SPARK-20682
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.1, 1.6.3, 1.5.2, 1.4.1
            Reporter: Dongjoon Hyun


Since SPARK-2883, Apache Spark supports Apache ORC inside `sql/hive` module with Hive dependency. This issue aims to add a new and faster ORC data source inside `sql/core` and to replace the old ORC data source eventually. In this issue, the latest Apache ORC 1.4.0 (released yesterday) is used.

There are four key benefits.

- Speed: Use both Spark `ColumnarBatch` and ORC `RowBatch` together. This is faster than the current implementation in Spark.
- Stability: Apache ORC 1.4.0 has many fixes and we can depend on ORC community more.
- Usability: User can use `ORC` data sources with hive module, i.e, `-Phive`.
- Maintainability: Reduce the Hive dependency and can remove old legacy code later.



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