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