Hi Prashant,
You can create struct columns using the struct() function in
org.apache.spark.sql.functions --
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.functions$
val df = sc.parallelize(List(("a", "b", "c"))).toDF("A", "B", "C")
import org.apache.spark.sql.functions._
df.withColumn("D", struct($"a", $"b", $"c")).show()
---+---+---+-------+ | A| B| C| D| +---+---+---+-------+ | a| b| c|[a,b,c]|
+---+---+---+-------+
You can repeat to get the inner nesting.
Xinh
On Fri, May 13, 2016 at 4:51 AM, Prashant Bhardwaj <
prashant2006s...@gmail.com> wrote:
> Hi
>
> Let's say I have a flat dataframe with 6 columns like.
> {
> "a": "somevalue",
> "b": "somevalue",
> "c": "somevalue",
> "d": "somevalue",
> "e": "somevalue",
> "f": "somevalue"
> }
>
> Now I want to convert this dataframe to contain nested column like
>
> {
> "nested_obj1": {
> "a": "somevalue",
> "b": "somevalue"
> },
> "nested_obj2": {
> "c": "somevalue",
> "d": "somevalue",
> "nested_obj3": {
> "e": "somevalue",
> "f": "somevalue"
> }
> }
> }
>
> How can I achieve this? I'm using Spark-sql in scala.
>
> Regards
> Prashant
>
