[jira] [Resolved] (SPARK-12556) Pyspark dataframe unionAll call accepts incorrect input

["Aravind B (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aravind  B resolved SPARK-12556.
--------------------------------
    Resolution: Duplicate

> Pyspark dataframe unionAll call accepts incorrect input
> -------------------------------------------------------
>
>                 Key: SPARK-12556
>                 URL: https://issues.apache.org/jira/browse/SPARK-12556
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.4.1
>            Reporter: Aravind  B
>
> I actually encountered this problem with two dataframes that have 8 and 10 columns each. The below is a made up example that reproduces what I observed going wrong.
> Consider the two dataframes:
> df1:
> +-------+----------+
> |id     |     count|
> +-------+----------+
> +-------+----------+
> df2:
> +-------+---------+----------+
> |id     |new_count|     count|
> +-------+---------+----------+
> |      1|        4|         6|
> |      1|        5|         6|
> |      3|        6|         6|
> |      2|        7|         6|
> +-------+---------+----------+
> The call:
> df3 = df1.unionAll(df2)
> returns successfully with df3 containing 2 cloumns. However, some columns now have swapped values (with other columns). Based on my previous experience I would say that df3's count column will actually be the new_count column.
> I believe that this call should never complete successfully in the first place and should throw an exception instead.



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