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Add Number of days column to Date Column in same dataframe for Spark Scala App

I have a dataframe df of columns ("id", "current_date", "days") and I am trying to add the the "days" to "current_date" and create a new dataframe with new column called "new_date" using spark scala function date_add()

val newDF = df.withColumn("new_Date", date_add(df("current_date"), df("days").cast("Int")))

But looks like the function date_add only accepts Int values and not columns. How can get the desired output in such case? Are there any alternative functions i can use to get the desired output?

spark version: 1.6.0 scala version: 2.10.6

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No need to use an UDF, you can do it using an SQL expression:

val newDF = df.withColumn("new_date", expr("date_add(current_date,days)"))

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