[jira] [Updated] (SPARK-20682) Add new ORCFileFormat based on Apache ORC

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

     [ https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-20682:
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    Summary: Add new ORCFileFormat based on Apache ORC  (was: Support a new faster ORC data source based on Apache ORC)

> Add new ORCFileFormat based on Apache ORC
> -----------------------------------------
>
>                 Key: SPARK-20682
>                 URL: https://issues.apache.org/jira/browse/SPARK-20682
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.4.1, 1.5.2, 1.6.3, 2.1.1, 2.2.0
>            Reporter: Dongjoon Hyun
>            Priority: Major
>
> 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 without hive module, i.e, `-Phive`.
> - Maintainability: Reduce the Hive dependency and can remove old legacy code later.



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