Consider the following example: You have a simple data structure Data with a single property of type List.
class Data(val items : List<String>)
val dataObjects = listOf(
Data(listOf("a", "b", "c")),
Data(listOf("1", "2", "3"))
)
flatMap vs. map
With flatMap, you can “flatten” multiple Data::items into one collection as shown with the items variable.
val items: List<String> = dataObjects
.flatMap { it.items } //[a, b, c, 1, 2, 3]
Using map, on the other hand, simply results in a list of lists.
val items2: List<List<String>> = dataObjects
.map { it.items } //[[a, b, c], [1, 2, 3]]
flatten
There’s also a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap when using those types:
val nestedCollections: List<Int> =
listOf(listOf(1,2,3), listOf(5,4,3))
.flatten() //[1, 2, 3, 5, 4, 3]