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Scala and Spark for Big Data Analytics
book

Scala and Spark for Big Data Analytics

by Sridhar Alla, Md. Rezaul Karim
July 2017
Intermediate to advanced
796 pages
18h 55m
English
Packt Publishing
Content preview from Scala and Spark for Big Data Analytics

DropWhile

dropWhile is used to omit a set of elements till a predicate is satisfied. It can be defined formally as follows:

def dropWhile(p: (A) ⇒ Boolean): Traversable[A]  

Let's see an example as follows:

//Drop values till reaching the border between numbers that are greater than 5 and less than 5scala> List(2,3,4,9,10,11) dropWhile(x => x <5)res1: List[Int] = List(9, 10, 11)

In Scala, if you want to use your User Defined Functions (UDF) such that it takes a function as an argument in the nested list and combines the output back together, flatMap() is a perfect candidate. We will see examples of using flatMap() in the next section.

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Publisher Resources

ISBN: 9781785280849