Never mind me, I've found an email to this list from Raghavendra Pandey which 
got me what I needed

val nestedCol = struct(df("nested2.column1"), df("nested2.column2"), 
df("flatcolumn"))
val df2 = df.select(df("nested1"), nestedCol as "nested2")

Thanks,
Ewan

From: Ewan Leith
Sent: 13 August 2015 15:44
To: user@spark.apache.org
Subject: Create column in nested structure?

Has anyone used withColumn (or another method) to add a column to an existing 
nested dataframe?

If I call:

    df.withColumn("nested.newcolumn", df("oldcolumn"))

then it just creates the new column with a "." In it's name, not under the 
"nested" structure.

Thanks,
Ewan

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