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

["Naveen Kumar (JIRA)" <ji...@apache.org>]

Naveen Kumar created SPARK-16585:
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             Summary: 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 Kumar
            Priority: Blocker
             Fix For: 1.6.0


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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