[jira] [Updated] (SPARK-17550) DataFrameWriter.partitionBy() should throw exception if column is not present in Dataframe

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17550?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-17550:
---------------------------------
    Labels: bulk-closed  (was: )

> DataFrameWriter.partitionBy() should throw exception if column is not present in Dataframe
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17550
>                 URL: https://issues.apache.org/jira/browse/SPARK-17550
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>            Reporter: Aniket Kulkarni
>            Priority: Minor
>              Labels: bulk-closed
>
> I have a spark job which performs certain computations on event data and eventually persists it to hive. 
> I was trying to write to hive using the code snippet shown below : 
> dataframe.write.format("orc").partitionBy(col1,col2).options(options).mode(SaveMode.Append).saveAsTable(hiveTable)
> The write to hive was not working as col2 in the above example was not present in the dataframe. It was a little tedious to debug this as no exception or message showed up in the logs. I was constantly seeing executor lost failures in the logs and nothing more.
> I think there should be an exception thrown when one tries to write to hive on a partitioning column that does not exist.
> If this is indeed something that needs to be fixed, I would like to volunteer to fix this in the spark-core code base.



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