Scala | flatMap Method

In Scala, flatMap() method is identical to the map() method, but the only difference is that in flatMap the inner grouping of an item is removed and a sequence is generated. It can be defined as a blend of map method and flatten method. The output obtained by running the map method followed by the flatten method is same as obtained by the flatMap(). So, we can say that flatMap first runs the map method and then the flatten method to generate the desired result.

Note:

• It has a built-in Option class as an Option can be expressed as a sequence which has at most one element i.e, either its empty or has only one element.
• The flatten() method is utilized to disintegrate the elements of a Scala collection in order to construct a single collection with the elements of similar type.

Let's see an example to illustrate, how the flatMap is working.

val name = Seq("Nidhi", "Singh")

Case 1:

let's apply map() and flatten() on the stated sequence.

// Applying map() val result1 = name.map(_.toLowerCase) // Output List(nidhi, singh) // Applying flatten() now, val result2 = result1.flatten // Output List(n, i, d, h, i, s, i, n, g, h)

Case 2:

let's apply flatMap() directly on the given sequence.

name.flatMap(_.toLowerCase)
 
// Output
List(n, i, d, h, i, s, i, n, g, h)

So, we can see here that the output obtained in both the cases is same therefore, we can say that flatMap is a combination of map and flatten method. Now, let's see some examples of flatMap method.

1. Utilizing flatMap on a sequence of Strings.

Example: Scala

// Scala program of flatMap

// Creating object
object GfG
{ 

    // Main method
    def main(args:Array[String])
    {

        // Creating a sequence of strings
        val portal = Seq("Geeks", "for", "Geeks")

        // Applying flatMap
        val result = portal.flatMap(_.toUpperCase)

        // Displays output
        println(result)

    }
}

OutputList(G, E, E, K, S, F, O, R, G, E, E, K, S)
 Here, flatMap is applied to the stated sequence so, a list of sequence of characters is generated.  2. Applying flatMap with another functions. Example :Scala

// Scala program of flatMap

// Creating object
object GfG
{ 

    // Main method
    def main(args:Array[String])
    {

        // Creating a list of numbers
        val list = List(2, 3, 4)

        // Defining a function
        def f(x:Int) = List(x-1, x, x+1)

        // Applying flatMap
        val result = list.flatMap(y => f(y))

        // Displays output
        println(result)

    }
}

List(1, 2, 3, 2, 3, 4, 3, 4, 5)

List(List(2-1, 2, 2+1), List(3-1, 3, 3+1), List(4-1, 4, 4+1))

// After evaluation we get,
List(List(1, 2, 3), List(2, 3, 4), List(3, 4, 5))

List(1, 2, 3, 2, 3, 4, 3, 4, 5)

Example : Scala

// Scala program of flatMap

// Creating object
object GfG
{ 

    // Main method
    def main(args:Array[String])
    {

        // Creating a sequence of numbers
        val seq = Seq(4, 5, 6, 7)

        // Applying flatMap on another
        // function
        val result = seq flatMap { s =>
                        Seq(s, s-1)
        }

        // Displays output
        println(result)

    }
}

OutputList(4, 3, 5, 4, 6, 5, 7, 6)
 Here, also output is obtained like the first example of the flatMap with another functions.  4. Utilizing flatMap on if-else statements. Example :Scala

// Scala program to illustrate flatMap

// Creating object
object GfG {

    // Main method
    def main(args: Array[String]): Unit = {

        // Creating a sequence of numbers
        val seq = Seq(1, 2, 3, 4, 5)

        // Applying flatMap on if-else statement.
        // Even numbers return two elements,
        // while odd numbers return no elements.
        val result = seq.flatMap { s =>
            if (s % 2 == 0)
                Seq(s, s * 2)
            else
                Seq.empty[Int]
        }

        // Displays output
        println(result)
    }
}

Output
List(2, 4, 4, 8)