How to pivot Spark DataFrame?

Question

I am starting to use Spark DataFrames and I need to be able to pivot the data to create multiple columns out of 1 column with multiple rows. There is built in functionality

Answer 1

There is a SIMPLE method for pivoting :

  id  tag  value
  1   US    50
  1   UK    100
  1   Can   125
  2   US    75
  2   UK    150
  2   Can   175

  import sparkSession.implicits._

  val data = Seq(
    (1,"US",50),
    (1,"UK",100),
    (1,"Can",125),
    (2,"US",75),
    (2,"UK",150),
    (2,"Can",175),
  )

  val dataFrame = data.toDF("id","tag","value")

  val df2 = dataFrame
                    .groupBy("id")
                    .pivot("tag")
                    .max("value")
  df2.show()

+---+---+---+---+
| id|Can| UK| US|
+---+---+---+---+
|  1|125|100| 50|
|  2|175|150| 75|
+---+---+---+---+