So this is not a direct port, but I think it is closer to the idiomatic Scala. I would consider the holiday list as a list of consecutive pairs, and then find out which pair contains the input date.
Here is a complete example:
scala> import java.sql.Date import java.sql.Date scala> import java.text.SimpleDateFormat import java.text.SimpleDateFormat scala> :pa // Entering paste mode (ctrl-D to finish) def parseDate(in: String): java.sql.Date = { val formatter = new SimpleDateFormat("MM/dd/yyyy") val d = formatter.parse(in) new java.sql.Date(d.getTime()); } // Exiting paste mode, now interpreting. parseDate: (in: String)java.sql.Date scala> val holidays = Seq("11/24/2016", "12/25/2016", "12/31/2016").map(parseDate) holidays: Seq[java.sql.Date] = List(2016-11-24, 2016-12-25, 2016-12-31) scala> val hP = sc.broadcast(holidays.zip(holidays.tail)) hP: org.apache.spark.broadcast.Broadcast[Seq[(java.sql.Date, java.sql.Date)]] = Broadcast(4) scala> def geq(d1: Date, d2: Date) = d1.after(d2) || d1.equals(d2) geq: (d1: java.sql.Date, d2: java.sql.Date)Boolean scala> def leq(d1: Date, d2: Date) = d1.before(d2) || d1.equals(d2) leq: (d1: java.sql.Date, d2: java.sql.Date)Boolean scala> :pa // Entering paste mode (ctrl-D to finish) val findNearestHolliday = udf((inDate: Date) => { val hP_l = hP.value val dates = hP_l.collectFirst{case (d1, d2) if (geq(inDate, d1) && leq(inDate, d2)) => (Some(d1), Some(d2))} dates.getOrElse(if (leq(inDate, hP_l.head._1)) (None, Some(hP_l.head._1)) else (Some(hP_l.last._2), None)) }) // Exiting paste mode, now interpreting. findNearestHolliday: org.apache.spark.sql.UserDefinedFunction = UserDefinedFunction(<function1>,StructType(StructField(_1,DateType,true), StructField(_2,DateType,true)),List(DateType)) scala> val df = Seq((1, parseDate("11/01/2016")), (2, parseDate("12/01/2016")), (3, parseDate("01/01/2017"))).toDF("id", "date") df: org.apache.spark.sql.DataFrame = [id: int, date: date] scala> val df2 = df.withColumn("nearestHollidays", findNearestHolliday($"date")) df2: org.apache.spark.sql.DataFrame = [id: int, date: date, nearestHollidays: struct<_1:date,_2:date>] scala> df2.show +---+----------+--------------------+ | id| date| nearestHollidays| +---+----------+--------------------+ | 1|2016-11-01| [null,2016-11-24]| | 2|2016-12-01|[2016-11-24,2016-...| | 3|2017-01-01| [2016-12-31,null]| +---+----------+--------------------+ scala> df2.foreach{println} [3,2017-01-01,[2016-12-31,null]] [1,2016-11-01,[null,2016-11-24]] [2,2016-12-01,[2016-11-24,2016-12-25]]