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https://issues.apache.org/jira/browse/SPARK-19544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15860719#comment-15860719
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Apache Spark commented on SPARK-19544:
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User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/16882
> Improve error message when some column types are compatible and others are
> not in set/union operations
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-19544
> URL: https://issues.apache.org/jira/browse/SPARK-19544
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Hyukjin Kwon
> Priority: Minor
>
> Currently,
> {code}
> Seq((1,("a", 1))).toDF union Seq((1L,("a", "b"))).toDF
> org.apache.spark.sql.AnalysisException: Union can only be performed on tables
> with the compatible column types. LongType <> IntegerType at the first column
> of the second table;;
> {code}
> It prints that it fails due to {{LongType <> IntegerType}} whereas actually
> it is {{StructType(...) <> StructType(...)}}
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