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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-21422) Depend on Apache ORC 1.4.0
Date Fri, 14 Jul 2017 22:07:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21422?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-21422:
------------------------------------

    Assignee:     (was: Apache Spark)

> Depend on Apache ORC 1.4.0
> --------------------------
>
>                 Key: SPARK-21422
>                 URL: https://issues.apache.org/jira/browse/SPARK-21422
>             Project: Spark
>          Issue Type: Bug
>          Components: Build
>    Affects Versions: 2.3.0
>            Reporter: Dongjoon Hyun
>
> Like Parquet, this issue aims to depend on the latest Apache ORC 1.4 for Apache Spark
2.3. There are key benefits for now.
> - Stability: Apache ORC 1.4.0 has many fixes and we can depend on ORC community more.
> - Maintainability: Reduce the Hive dependency and can remove old legacy code later.
> Later, we can get the following two key benefits by adding new ORCFileFormat in SPARK-20728,
too.
> - Usability: User can use ORC data sources without hive module, i.e, -Phive.
> - Speed: Use both Spark ColumnarBatch and ORC RowBatch together. This is faster than
the current implementation in Spark.



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