[jira] [Resolved] (SPARK-16585) Update inner fields of complex types in dataframes

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16585.
-------------------------------
    Resolution: Invalid

> Update inner fields of complex types in dataframes
> --------------------------------------------------
>
>                 Key: SPARK-16585
>                 URL: https://issues.apache.org/jira/browse/SPARK-16585
>             Project: Spark
>          Issue Type: Question
>          Components: Build
>    Affects Versions: 1.6.0
>         Environment: spark 1.6.0
> scala 2.11
> hive 0.13
>            Reporter: Naveen
>            Priority: Minor
>
> Using dataframe.withColumn(<colname>,udf($colname)) for inner fields in struct/complex datatype, results in a new dataframe with the a new column appended to it. "colname" in the above argument is given as fullname with dot notation to access the struct/complex fields. 
> For eg: hive table has columns: (id int, address struct<line1: struct< buildname:string, stname:string>>, line2:string>) 
> I need to update the inner field 'buildname'. I can select the inner field through dataframe as : df.select($"address.line1.buildname"), however when I use df.withColumn("address.line1.buildname", toUpperCaseUDF($"address.line1.buildname")), it is resulting in a new dataframe with new column: "address.line1.buildname" appended, with toUpperCaseUDF values from inner field buildname.
> How can I update the inner fields of the complex data types.



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