subtract two columns with null in spark dataframe

Question

I new to spark, I have dataframe df:

+----------+------------+-----------+
| Column1  | Column2    | Sub       |                          
+----------+------         


        

Answer 1

You can use when function as

import org.apache.spark.sql.functions._
df.withColumn("Sub", when(col("Column1").isNull, lit(0)).otherwise(col("Column1")) - when(col("Column2").isNull, lit(0)).otherwise(col("Column2")))

you should have final result as

+-------+-------+----+
|Column1|Column2| Sub|
+-------+-------+----+
|      1|      2|-1.0|
|      4|   null| 4.0|
|      5|   null| 5.0|
|      6|      8|-2.0|
+-------+-------+----+

Answer 2

You can coalesce nulls to zero on both columns and then do the subtraction:

val df = Seq((Some(1), Some(2)), 
             (Some(4), null), 
             (Some(5), null), 
             (Some(6), Some(8))
            ).toDF("A", "B")

df.withColumn("Sub", abs(coalesce($"A", lit(0)) - coalesce($"B", lit(0)))).show
+---+----+---+
|  A|   B|Sub|
+---+----+---+
|  1|   2|  1|
|  4|null|  4|
|  5|null|  5|
|  6|   8|  2|
+---+----+---+