How to calculate sum and count in a single groupBy?

Question

Based on the following DataFrame:

val client = Seq((1,\"A\",10),(2,\"A\",5),(3,\"B\",56)).toDF(\"ID\",\"Categ\",\"Amnt\")
+---+-----+----+
| ID|         


        

Answer 1

You can do aggregation like below on given table:

client.groupBy("Categ").agg(sum("Amnt"),count("ID")).show()

+-----+---------+---------+
|Categ|sum(Amnt)|count(ID)|
+-----+---------+---------+
|    A|       15|        2|
|    B|       56|        1|
+-----+---------+---------+