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https://issues.apache.org/jira/browse/SPARK-19459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16167258#comment-16167258
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Apache Spark commented on SPARK-19459:
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User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/19235
> ORC tables cannot be read when they contain char/varchar columns
> ----------------------------------------------------------------
>
> Key: SPARK-19459
> URL: https://issues.apache.org/jira/browse/SPARK-19459
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2, 2.1.0
> Reporter: Herman van Hovell
> Assignee: Herman van Hovell
> Fix For: 2.1.1, 2.2.0
>
>
> Reading from an ORC table which contains char/varchar columns can fail if the
> table has been created using Spark. This is caused by the fact that spark
> internally replaces char and varchar columns with a string column, this
> causes the ORC reader to use the wrong reader, and that eventually causes a
> ClassCastException.
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