What is the use case for flatMap vs map in kotlin

问题

in https://try.kotlinlang.org/#/Kotlin%20Koans/Collections/FlatMap/Task.kt

it has sample of using flatMap and map

seems both are doing the same thing, is there a sample to show the difference of using flatMap and map?

the data type:

data class Shop(val name: String, val customers: List<Customer>)

data class Customer(val name: String, val city: City, val orders: List<Order>) {
    override fun toString() = "$name from ${city.name}"
}

data class Order(val products: List<Product>, val isDelivered: Boolean)

data class Product(val name: String, val price: Double) {
    override fun toString() = "'$name' for $price"
}

data class City(val name: String) {
    override fun toString() = name
}

the samples:

fun Shop.getCitiesCustomersAreFrom(): Set<City> =
    customers.map { it.city }.toSet()
    // would it be same with customers.flatMap { it.city }.toSet() ?

val Customer.orderedProducts: Set<Product> get() {
    return orders.flatMap { it.products }.toSet()
    // would it be same with return orders.map { it.products }.toSet()
}

回答1:

Consider the following example. You have a simple data structure Data with a single property of type List.

class Data(val items : List<String>)

fun main(args: Array<String>) {
    val data = listOf(Data(listOf("a", "b", "c")), Data(listOf("1", "2", "3")))
    val items: List<String> = data.flatMap { it.items } //[a, b, c, 1, 2, 3]
    val items2: List<List<String>> = data.map { it.items } //[[a, b, c], [1, 2, 3]]
}

flatMap vs. map

With flatMap, you can "flatten" multiple Data::items into one collection as shown with the items variable. Using map, on the other hand, simply results in a list of lists.

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()

回答2:

There are three functions in play here. map(), flatten(), and flatMap() which is a combination of the first two.

Consider the following example

data class Hero (val name:String)
data class Universe (val heroes: List<Hero>)

val batman = Hero("Bruce Wayne")
val wonderWoman = Hero (name = "Diana Prince")

val mailMan = Hero("Stan Lee")
val deadPool = Hero("Wade Winston Wilson")

val marvel = Universe(listOf(mailMan, deadPool))
val dc = Universe(listOf(batman, wonderWoman))

val allHeroes: List<Universe> = listOf(marvel, dc)

Map

allHeroes.map { it.heroes }

// output: [[Hero(name=Stan Lee), Hero(name=Wade Winston Wilson)], [Hero(name=Bruce Wayne), Hero(name=Diana Prince)]]

Map allows you to access each universe in {allHeroes} and (in this case) return its list of heroes. So the output will be a list containing two lists of heroes, one for each universe. The result is a List>

Flatmap

allHeroes.flatMap { it.heroes }

// output: [Hero(name=Stan Lee), Hero(name=Wade Winston Wilson), Hero(name=Bruce Wayne), Hero(name=Diana Prince)]

FlatMap allows you to do the same as map, access the two lists of heroes from both universes. But it goes further and flattens the returned list of lists into a single list. The result is a List

Flatten

allHeroes.map { it.heroes }.flatten()

// output: [Hero(name=Stan Lee), Hero(name=Wade Winston Wilson), Hero(name=Bruce Wayne), Hero(name=Diana Prince)]

This produces the same result as flatMap. So flatMap is a combination of the two functions, map{} and then flatten()

来源：https://stackoverflow.com/questions/52078207/what-is-the-use-case-for-flatmap-vs-map-in-kotlin

标签

collections

kotlin

flatmap