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https://issues.apache.org/jira/browse/SPARK-19818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15895468#comment-15895468
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Apache Spark commented on SPARK-19818:
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User 'actuaryzhang' has created a pull request for this issue:
https://github.com/apache/spark/pull/17159
> SparkR union should check for name consistency of input data frames
> --------------------------------------------------------------------
>
> Key: SPARK-19818
> URL: https://issues.apache.org/jira/browse/SPARK-19818
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.1.0
> Reporter: Wayne Zhang
> Priority: Minor
>
> The current implementation accepts data frames with different schemas. See
> issues below:
> {code}
> df <- createDataFrame(data.frame(name = c("Michael", "Andy", "Justin"), age =
> c(1, 30, 19)))
> union(df, df[, c(2, 1)])
> name age
> 1 Michael 1.0
> 2 Andy 30.0
> 3 Justin 19.0
> 4 1.0 Michael
> {code}
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