You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2015/08/12 14:02:45 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=14693373#comment-14693373 ]
Herman van Hovell commented on SPARK-9874:
------------------------------------------
This is a duplicate of SPARK-9813.
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org