Scala : Sum of each row in a spark dataframe

Scala : Sum of each row and Column in a spark dataframe 

Note :
Map , Filter , Reduce on a Dataframe performs row wise operation and stores final result as a Column.

Method 1 :

object DataFrames {
val df2: DataFrame =Seq(1,2).toDF("CURRENCY")
.withColumn("c2", lit(8)) .withColumn("c3", lit(1))
def main(args: Array[String]): Unit = {
val sumDF = df2.
withColumn("TOTAL", df2.columns.map(c => col(c)).reduce((c1, c2) => c1 + c2)) sumDF.show() }
}

Method 2:

df2.withColumn("TOTAL", expr("c2+c3"))

Method 3:

df2.withColumn("TOTAL",col("c2")+col("c3"))

+--------+---+---+-----+
|CURRENCY| c2| c3|TOTAL|
+--------+---+---+-----+
| 1| 8| 1| 10|
| 2| 8| 1| 11|
+--------+---+---+-----+
 To calculate Sum of Columns:
 df2.agg(sum(col("c2"))).show()

Result :
+-------+
|sum(c2)|
+-------+
| 16|
+-------+

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