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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/08/12 16:14:47 UTC
[jira] [Resolved] (SPARK-9874) UnionAll operation on DataFrame
doesn't check for column names
[ https://issues.apache.org/jira/browse/SPARK-9874?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-9874.
------------------------------
Resolution: Duplicate
> UnionAll operation on DataFrame doesn't check for column names
> --------------------------------------------------------------
>
> Key: SPARK-9874
> URL: https://issues.apache.org/jira/browse/SPARK-9874
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Raghavendra Kumar Pandey
>
> UnionAll operation in dataFrame checks only for the column dataType. For example if df1 has a field id of type String and df2 has a field city of type String then, unionAll appends both dataFrames one after another.
> This should not be allowed. Either it should create combined schema or it should throw error.
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