Scala Tutorial - Learn How To Use MkString Function With Examples

By Nadim Bahadoor | Last updated: March 16, 2018 at 14:38 pm

Overview

In this tutorial, we will learn how to use the mkString function with examples on collection data structures in Scala. The mkString function is applicable to both Scala's Mutable and Immutable collection data structures.

 

The mkString method will help you create a String representation of collection elements by iterating through the collection. The mkString method has an overloaded method which allows you to provide a delimiter to separate each element in the collection. Furthermore, there is another overloaded method to also specify any prefix and postfix literal to be preprended or appended to the String representation..

 

As per the Scala documentation, the definition of the mkString method is as follows:

def mkString: String

def mkString(sep: String): String

def mkString(start: String, sep: String, end: String): String

 

The mkString method is a member of the TraversableOnce trait.

Steps

1. How to initialize a Sequence of donuts

The code below shows how to initialize a Sequence of donut elements of type String.


println("Step 1: How to initialize a Sequence of donuts")
val donuts: Seq[String] = Seq("Plain Donut", "Strawberry Donut", "Glazed Donut")
println(s"Elements of donuts = $donuts")

You should see the following output when you run your Scala application in IntelliJ:


Step 1: How to initialize a Sequence of donuts
Elements of donuts = List(Plain Donut, Strawberry Donut, Glazed Donut)

 

2. How to concatenate the elements of a sequence into a String using mkString function

The code below shows how to use the mkString function to create a String representation for all the donut elements in the donut Sequence. In this example, we will concatenate the donut elements with the String " and ".


println("\nStep 2: How to concatenate the elements of a sequence into a String using mkString function")
val donutsAsString: String = donuts.mkString(" and ")
println(s"Donuts elements using mkString function = $donutsAsString")

You should see the following output when you run your Scala application in IntelliJ:


Step 2: How to concatenate the elements of a sequence into a String using mkString function
Donuts elements using mkString function = Plain Donut and Strawberry Donut and Glazed Donut

 

3. How to concatenate the elements of a Sequence into a String using mkString and specifying prefix and suffix

As mentioned above, the mkString method has an overloaded method signature which allows you to specify a prefix and suffix to your String presentation. In the example below, we will use the String "My favorite donuts namely " as prefix and the String " are very tasty!" as the suffix.


println("\nStep 3: How to concatenate the elements of a sequence into a String using mkString and specifying prefix and suffix")
val donutsWithPrefixAndSuffix: String = donuts.mkString("My favorite donuts namely ", " and ", " are very tasty!")
println(s"$donutsWithPrefixAndSuffix")

You should see the following output when you run your Scala application in IntelliJ:


Step 3: How to concatenate the elements of a sequence into a String using mkString and specifying prefix and suffix
My favorite donuts Plain Donut and Strawberry Donut and Glazed Donut are very tasty!

 

 

This concludes our tutorial on Learn How To Use MkString Function With Examples and I hope you've found it useful!

 

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Summary

In this tutorial, we went over the following:

  • How to initialize a Sequence of donuts
  • How to concatenate the elements of a sequence into a String using mkString function
  • How to concatenate the elements of a Sequence into a String using mkString and specifying prefix and suffix

Tip

  • Review the tutorials on Mutable and Immutable collection data structures in Scala.

Source Code

The source code is available on the allaboutscala GitHub repository.

 

What's Next

In the next tutorial, I will show you how to use nonEmpty function.

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Nadim Bahadoor
Technology and Finance Consultant with over 14 years of hands-on experience building large scale systems in the Financial (Electronic Trading Platforms), Risk, Insurance and Life Science sectors. I am self-driven and passionate about Finance, Distributed Systems, Functional Programming, Big Data, Semantic Data (Graph) and Machine Learning.
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