What is the use case for flatMap vs map in kotlin












4















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()
}









share|improve this question





























    4















    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()
    }









    share|improve this question



























      4












      4








      4








      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()
      }









      share|improve this question
















      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()
      }






      collections kotlin flatmap






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      edited Aug 29 '18 at 13:24









      s1m0nw1

      26.1k644104




      26.1k644104










      asked Aug 29 '18 at 13:06









      lannyflannyf

      1,86121943




      1,86121943
























          2 Answers
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          active

          oldest

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          11














          Have a look at this simple example:



          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]]
          }


          With flatMap, you can merge multiple collections into one as shown with the items variable. Using map, on the other hand, simply results in a list of lists.



          Note that there's a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap:



          val nestedCollections: List<Int> = listOf(listOf(1,2,3), listOf(5,4,3)).flatten()





          share|improve this answer

































            3














            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()






            share|improve this answer

























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              2 Answers
              2






              active

              oldest

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              2 Answers
              2






              active

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              active

              oldest

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              active

              oldest

              votes









              11














              Have a look at this simple example:



              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]]
              }


              With flatMap, you can merge multiple collections into one as shown with the items variable. Using map, on the other hand, simply results in a list of lists.



              Note that there's a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap:



              val nestedCollections: List<Int> = listOf(listOf(1,2,3), listOf(5,4,3)).flatten()





              share|improve this answer






























                11














                Have a look at this simple example:



                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]]
                }


                With flatMap, you can merge multiple collections into one as shown with the items variable. Using map, on the other hand, simply results in a list of lists.



                Note that there's a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap:



                val nestedCollections: List<Int> = listOf(listOf(1,2,3), listOf(5,4,3)).flatten()





                share|improve this answer




























                  11












                  11








                  11







                  Have a look at this simple example:



                  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]]
                  }


                  With flatMap, you can merge multiple collections into one as shown with the items variable. Using map, on the other hand, simply results in a list of lists.



                  Note that there's a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap:



                  val nestedCollections: List<Int> = listOf(listOf(1,2,3), listOf(5,4,3)).flatten()





                  share|improve this answer















                  Have a look at this simple example:



                  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]]
                  }


                  With flatMap, you can merge multiple collections into one as shown with the items variable. Using map, on the other hand, simply results in a list of lists.



                  Note that there's a flatten extension on Iterable<Iterable<T>> and also Array<Array<T>> which you can use alternatively to flatMap:



                  val nestedCollections: List<Int> = listOf(listOf(1,2,3), listOf(5,4,3)).flatten()






                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Nov 21 '18 at 19:46

























                  answered Aug 29 '18 at 13:20









                  s1m0nw1s1m0nw1

                  26.1k644104




                  26.1k644104

























                      3














                      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()






                      share|improve this answer






























                        3














                        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()






                        share|improve this answer




























                          3












                          3








                          3







                          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()






                          share|improve this answer















                          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()







                          share|improve this answer














                          share|improve this answer



                          share|improve this answer








                          edited Jan 4 at 15:13

























                          answered Nov 19 '18 at 23:20









                          Dawit AbrahamDawit Abraham

                          416




                          416






























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