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https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16003326#comment-16003326
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Dongjoon Hyun commented on SPARK-20682:
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Yep. That was a old huddle before 1.4.0. 1.4.0 provides `nohive` artifacts, too.
https://repo.maven.apache.org/maven2/org/apache/orc/orc-core/1.4.0/
I'll make a PR soon as a POC.
> 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: 1.4.1, 1.5.2, 1.6.3, 2.1.1
> 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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