Kotlin Nullable Values

last modified March 22, 2025

Kotlin’s type system tames the wild beast of null pointer exceptions, splitting types into nullable and non-nullable camps. This tutorial dives into wrangling nulls with safe calls, the Elvis operator, and more, all through practical, real-world examples that keep your code crash-free.

Nullable Types

By default, Kotlin locks variables to non-null values—add a ? to unlock null as an option. It’s like a safety switch you flip when null might sneak in.

NullableTypes.kt

fun main() { var username: String = “Alice” // Locked: no null allowed // username = null // Error: Null can’t crash this party

var email: String? = "bob@site.com"  // Unlocked: null's welcome
email = null  // All good here

println(email)  // Output: null

}

username stays non-null, while email embraces null with ?. Think user profiles—emails might be optional, but usernames are mandatory. Kotlin enforces that split at compile time.

Safe Calls

The safe call operator (?.) tiptoes around null, grabbing properties or methods only if the object exists—otherwise, it shrugs and returns null, no tantrums thrown.

SafeCalls.kt

fun main() { val bio: String? = null val charCount = bio?.length

println(charCount)  // Output: null

}

bio?.length checks a nullable bio without risking a crash. Picture a social media app—some users skip bios, and ?. keeps the app humming, returning null instead of exploding.

Elvis Operator

The Elvis operator (?:) swoops in with a fallback when a nullable value turns up empty, keeping your code on track with a default.

ElvisOperator.kt

fun main() { val nickname: String? = null val displayName = nickname ?: “Guest”

println(displayName)  // Output: Guest

}

nickname ?: “Guest” picks “Guest” if nickname is null. Imagine a forum—users without nicknames get a friendly default, courtesy of Elvis’s smooth rescue.

Safe Casts

The safe cast operator (as?) tries a type switch without drama—if it flops, you get null instead of a ClassCastException.

SafeCasts.kt

fun main() { val input: Any = “42” val count: Int? = input as? Int

println(count)  // Output: null

}

input as? Int attempts to cast a string to an integer, safely failing to null. Think parsing user input—numbers might arrive as text, and as? keeps the pipeline flowing without crashing.

Non-Null Assertion

The non-null assertion (!!) slams the door on null, forcing a nullable into a non-null type—but if null sneaks through, it’s a NullPointerException explosion.

NonNullAssertion.kt

fun main() { val token: String? = null val length = token!!.length // Boom! NullPointerException

println(length)  // Never reached

}

token!!.length bets on token being non-null—here, it loses big. Use this in an auth system only if you’re 100% sure the token’s there; otherwise, it’s a ticking bomb.

Nullable Collections

Collections can cradle nullable types, and tools like filterNotNull sweep out the nulls, leaving only the good stuff.

NullableCollections.kt

fun main() { val scores: List = listOf(95, null, 87, null, 91) val validScores = scores.filterNotNull()

println(validScores)  // Output: [95, 87, 91]

}

filterNotNull purges null from scores. Picture a quiz app—some answers might be ungraded (null), and this cleans the list for a final tally, no fuss.

Let Function with Nullable Types

The let function dances with nullables, running a block only if the value’s present—think of it as a bouncer letting only non-nulls into the club.

LetFunction.kt

fun main() { val address: String? = “123 Main St” address?.let { println(“Shipping to: $it”) // Output: Shipping to: 123 Main St }

val noAddress: String? = null
noAddress?.let {
    println("Shipping to: $it")  // No output
}

}

address?.let processes only non-null addresses. In an e-commerce checkout, this ensures shipping details get handled only when they exist—safe and selective.

Chaining Safe Calls

Safe calls can chain, navigating nested nullables like a pro, returning null if any link breaks.

ChainingSafeCalls.kt

data class User(val profile: Profile?) data class Profile(val city: String?)

fun main() { val user: User? = User(null) val cityLength = user?.profile?.city?.length

println(cityLength)  // Output: null

}

user?.profile?.city?.length digs through layers, bailing at the first null. In a travel app, this fetches a city’s name length only if the user and profile exist—safe and slick.

Null-Coalescing with Multiple Fallbacks

The Elvis operator can stack fallbacks, picking the first non-null value in a pinch, like a backup plan with a backup plan.

NullCoalescing.kt

fun main() { val primaryPhone: String? = null val backupPhone: String? = null val defaultPhone = “N/A” val contact = primaryPhone ?: backupPhone ?: defaultPhone

println(contact)  // Output: N/A

}

primaryPhone ?: backupPhone ?: defaultPhone hunts for a valid phone, landing on “N/A”. In a contact manager, this ensures you’ve always got something to show, no matter how sparse the data.

Combining Let and Elvis

Mixing let and ?: crafts a tight null-handling flow, processing non-nulls with a fallback for the rest.

LetAndElvis.kt

fun main() { val coupon: String? = null val discount = coupon?.let { it.toInt() } ?: 0

println("Discount: $discount%")  // Output: Discount: 0%

}

coupon?.let { it.toInt() } ?: 0 converts a coupon code to an integer if it’s there, else defaults to 0. In a shopping cart, this applies a discount only if the code’s valid—clean and crash-proof.

Best Practices for Handling Nullable Values

Lean on Safe Calls: Use ?. to sidestep null traps—why risk a crash when you can glide? Set Smart Defaults: Tap ?: to plug in fallbacks, keeping your app humming when data’s shy. Shun !!: Dodge !! unless you’re dead certain—crashes aren’t cool. Unleash let: Wield let to gatekeep nulls, running code only for the VIPs (non-nulls).

Source

Kotlin Null Safety Documentation

This tutorial peeled back Kotlin’s null safety magic, showcasing tools like safe calls and let through practical lenses. With these tricks, you’ll dodge null disasters and keep your code steady as a rock.

Author

My name is Jan Bodnar, and I am a passionate programmer with many years of programming experience. I have been writing programming articles since 2007. So far, I have written over 1400 articles and 8 e-books. I have over eight years of experience in teaching programming.

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