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