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Kotlin Design Patterns and Best Practices

You're reading from   Kotlin Design Patterns and Best Practices Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801815727
Length 356 pages
Edition 2nd Edition
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Author (1):
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Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Classical Patterns
2. Chapter 1: Getting Started with Kotlin FREE CHAPTER 3. Chapter 2: Working with Creational Patterns 4. Chapter 3: Understanding Structural Patterns 5. Chapter 4: Getting Familiar with Behavioral Patterns 6. Section 2: Reactive and Concurrent Patterns
7. Chapter 5: Introducing Functional Programming 8. Chapter 6: Threads and Coroutines 9. Chapter 7: Controlling the Data Flow 10. Chapter 8: Designing for Concurrency 11. Section 3: Practical Application of Design Patterns
12. Chapter 9: Idioms and Anti-Patterns 13. Chapter 10: Concurrent Microservices with Ktor 14. Chapter 11: Reactive Microservices with Vert.x 15. Assessments 16. Other Books You May Enjoy

Null safety

Probably the most notorious exception in the Java world is NullPointerException. The reason behind this exception is that every object in Java can be null. The code here shows us why this is a problem:

final String s = null;
System.out.println(s.length()); 
// Causes NullPointerException

It's not like Java didn't attempt to solve that problem, though. Since Java 8, there has been an Optional construct that represents a value that may not be there:

var optional = Optional.of("I'm not null");
if (optional.isPresent()) { 
    System.out.println(optional.get().length());
}

But it doesn't solve our problem. If our function receives Optional as an argument, we can still pass it a null value and crash the program at runtime:

void printLength(Optional<String> optional) {
    if (optional.isPresent()) { // <- Missing null check 
      here
        System.out.println(optional.get().length());
    }
}
printLength (null); // Crashes!

Kotlin checks for nulls during compile time:

val s: String = null // Won't compile

Let's take a look at the printLength() function written in Kotlin:

fun printLength(s: String) { 
    println(s.length)
}

Calling this function with null won't compile at all:

printLength(null) 
// Null cannot be a value of a non-null type String

If you specifically want your type to be able to receive nulls, you'll need to mark it as nullable using the question mark:

fun printLength(stringOrNull: String?) { ... }

There are multiple techniques in Kotlin for dealing with nulls, such as smart casts, the Elvis operator, and so on. We'll discuss alternatives to nulls in Chapter 4, Getting Familiar with Behavioral Patterns. Let's now move on to data structures in Kotlin.

You have been reading a chapter from
Kotlin Design Patterns and Best Practices - Second Edition
Published in: Jan 2022
Publisher: Packt
ISBN-13: 9781801815727
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