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