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https://issues.apache.org/jira/browse/SPARK-16033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-16033.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13747
[https://github.com/apache/spark/pull/13747]
> DataFrameWriter.partitionBy() can't be used together with
> DataFrameWriter.insertInto()
> --------------------------------------------------------------------------------------
>
> Key: SPARK-16033
> URL: https://issues.apache.org/jira/browse/SPARK-16033
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Fix For: 2.0.0
>
>
> When inserting into an existing partitioned table, partitioning columns
> should always be determined by catalog metadata of the existing table to be
> inserted. Extra {{partitionBy()}} calls don't make sense, and mess up
> existing data because newly inserted data may have wrong partitioning
> directory layout.
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