Replicating a row n times

[Kanagha Kumar]

Hi,

I'm trying to replicate a single row from a dataset n times and create a
new dataset from it. But, while replicating I need a column's value to be
changed for each replication since it would be end up as the primary key
when stored finally.

Looked at the following reference:
https://stackoverflow.com/questions/40397740/replicate-spark-row-n-times

import org.apache.spark.sql.functions._
val result = singleRowDF
  .withColumn("dummy", explode(array((1 until 100).map(lit): _*)))
  .selectExpr(singleRowDF.columns: _*)

How can I create a column from an array of values in Java and pass it to
explode function? Suggestions are helpful.


Thanks
Kanagha