Scala Trait Traversable | Set-1

Introduction:
A root trait of the entire class of the Scala collections is Trait Traversable. It is available at the uppermost position of the collection hierarchy. It has uniquely one abstract operation, which is foreach. Here each of the operations are assured to be executed in a single-threaded approach.
Syntax:

def foreach[U](f: Elem => U)

Here, the operation f is concerned with all the elements of the collection and Elem => U is the type of operation, where “Elem” is the type of elements in the Scala’s collection and “U” is an inconsistent result type.

Some Important points:

• Traversable is accomplished by the Scala’s Collection classes.
• It is obligatory for Traversable to define foreach method only, as Traversable can inherit all the other methods.
• The foreach method could traverse all the elements of the Scala’s collection class.
• There are numerous concrete methods which are defined by Traversables.
• List, Array, Map, Set, and many more are the subclass of Traversables.

1. Abstract Method:
   The only abstract method here is foreach, which can traverse over all the elements of the Collection.
   Example :

   
   

   
   
   

   //Scala program of abstract method    //Creating object  object CS  {     //Main method     def main(args: Array[String])      {         //Creating an Array of elements         val x = Array("GEEKS", "FOR", "GEEKS")            //Calling foreach method         x.foreach { E =>         val y = E.toLowerCase            //Display strings         println(y)         }     } }

   Output:

   geeks
   for
   geeks
   

   Here, all the elements of the Array stated above are traversed by foreach method and then they are converted from uppercase to lowercase.
   Example:

   
   

   
   
   

   // Scala program of abstract method    // Creating object  object GFG {     // Main method     def main(args: Array[String])      {         //Creating list of numbers         val l = List(2, 6, 8, 7, 10, 11, 13)            //Calling foreach and displaying         //numbers of list after          //multiplication each of them         l.foreach(n => println(n * 6))     } }

   Output:

   12
   36
   48
   42
   60
   66
   78
   

   Here, foreach method traverses all the numbers of the list and multiplies each of them.

2. Addition operation:
   Here, Addition operation i.e, ++ adds two Traversables together or adds each of the elements of an iterator to a Traversable.
   Example:

   
   

   
   
   

   // Scala program of addition operation    // Creating object  object GFG {     // Main method     def main(args: Array[String])      {         // Creating set of numbers         val x = Set(7, 8, 9, 10)            // Creating list of numbers         val y = List(1, 5, 8, 18)            //performing addition operation         val s1 = x ++ y         val s2 = y ++ x            //Displaying set         println(s1)            //Displaying list          println(s2)     } }

   Output:

   Set(5, 10, 1, 9, 7, 18, 8)
   List(1, 5, 8, 18, 7, 8, 9, 10)
   

   Here, when a Set is added to a List then a Set is generated and when a List is added to a Set then a List is generated.

3. Map operations:
   The three Map operations are map, flatMap, and collect.
   These Map operations create a new collection by assigning a few function to the elements of Scala collection.
   Example :

   
   

   
   
   

   // Scala program of Map operations    // Creating object  object GFG {        // Main method     def main(args: Array[String])      {            // Creating Set of numbers         val x = Set(8, 9, 5, 10)            // Applying map operation         val y = x.map(_ * 9)            // Displaying Set          println(y)     } }

   Output:

   Set(72, 81, 45, 90)
   

   Here, the Map operation (i.e, map) will assign the stated function on each elements of a Traversable and will return a new collection as output.
   Example :

   
   

   
   
   

   // Scala program of Map operations    // Creating object  object GFG {        // Main method     def main(args: Array[String])      {            // Creating a List of lists         val q = List(List(7), List(8, 9, 10), List(11, 12, 13))            // Applying map operation         val r = q.flatMap(_.map(_ + 3))            // Displaying List         println(r)     } }

   Output:

   List(10, 11, 12, 13, 14, 15, 16)
   

   Here, the flatMap will assign the stated function on each elements within the elements and then will Concatenate the output.
   Example :

   
   

   
   
   

   // Scala program of Map operations    // Creating object  object GFG {        // Main method     def main(args: Array[String])      {            // Creating List of numbers         val x = List(9, 3, 5, 11, 15, 4)            // Applying map operation          val y = x.collect          {                // Partial function             case z : Int if (z % 3 == 0) => z + 2         }            //Displaying list         println(y)     } }

   Output:

   List(11, 5, 17)
   

   Here, collect will assign a partial function to each elements of Traversable and will give a non-identical collection as output.

nidhi1352singh

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• Scala
• Scala