how to convert rows into columns in spark dataframe using scala

Question

how to convert a dataframe as below?

a dataframe I have:

GROUP	ITEM	AMOUNT
group1	item1	100
group1	item2	200
group1	item3	300
group2	item1	400
group2	item2	500

expected result

GROUP	ITEM1	ITEM2	ITEM3
group1	100	200	300
group2	400	500

Answer 1

You can use pivot

val pivotDF = df.groupBy("GROUP").pivot("ITEM").first("AMOUNT")
pivotDF.show()

You can read more about pivot here https://databricks.com/blog/2016/02/09/reshaping-data-with-pivot-in-apache-spark.html