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.
- 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)
}
}
Output:
List(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.
-
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)
}
}
Output:
List(1, 2, 3, 2, 3, 4, 3, 4, 5)
Here, flatMap is applied on the another function defined in the program and so a list of sequence of numbers is generated. Let's see how the output is computed.
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))
So, first step works like applying map method on the another function stated.
List(1, 2, 3, 2, 3, 4, 3, 4, 5)
The second step works like applying flatten to the output obtained by the map method at the first step.
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)
}
}
Output:
List(4, 3, 5, 4, 6, 5, 7, 6)
Here, also output is obtained like the first example of the flatMap with another functions.
-
Utilizing flatMap on if-else statements.
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(8, 15, 22, 23, 24)
// Applying flatMap on if-else
// statement
val result = seq flatMap { s =>
if (s % 3 == 0) Seq(s)
else Seq(-s)
}
// Displays output
println(result)
}
}
Output:
List(-8, 15, -22, -23, 24)
Here, if an element of the sequence given satisfies the stated condition then that element is returned else negative of that element is obtained.