Error Handling Best Practices in Spring Boot with Kotlin
Master Spring Boot error handling in Kotlin with comprehensive examples: learn to implement global exception handlers, custom error responses, and production-ready error handling strategies
In this tutorial, we'll build a complete REST API using Kotlin and Spring Boot. We'll create a book management system that allows you to perform CRUD operations on books. By the end of this guide, you'll have a production-ready REST API that showcases Kotlin's features alongside Spring Boot's powerful capabilities.
Learn how to build a modern REST API using Kotlin and Spring Boot 3.3. This practical guide covers everything from project setup to testing, with complete code examples.
Time to complete: 30 minutes
Spring Boot version: 3.3.6
Kotlin version: 1.9.22
Before we begin, make sure you have:
We'll create a Book Management API with the following features:
First, visit Spring Initializer and configure your project with:
Add the following dependencies:
After downloading and extracting the project, your build.gradle.kts
should look similar to this:
import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
plugins {
id("org.springframework.boot") version "3.2.2"
id("io.spring.dependency-management") version "1.1.4"
kotlin("jvm") version "1.9.22"
kotlin("plugin.spring") version "1.9.22"
}
group = "com.example"
version = "0.0.1-SNAPSHOT"
java.sourceCompatibility = JavaVersion.VERSION_17
repositories {
mavenCentral()
}
dependencies {
implementation("org.springframework.boot:spring-boot-starter-data-jpa")
implementation("org.springframework.boot:spring-boot-starter-validation")
implementation("com.fasterxml.jackson.module:jackson-module-kotlin")
implementation("org.jetbrains.kotlin:kotlin-reflect")
testImplementation("org.springframework.boot:spring-boot-starter-test")
testImplementation("io.mockk:mockk:1.13.9")
}
tasks.withType<KotlinCompile> {
kotlinOptions {
freeCompilerArgs += "-Xjsr305=strict"
jvmTarget = "17"
}
}
tasks.withType<Test> {
useJUnitPlatform()
}
Create the following package structure in src/main/kotlin/com/example/bookapi
:
src/main/kotlin/com/example/bookapi/
├── BookApiApplication.kt
├── controller/
│ └── BookController.kt
└── model/
└── Book.kt
Let's create our Book data class (model/Book.kt
):
package com.example.bookapi.model
data class Book(
val id: String = java.util.UUID.randomUUID().toString(),
val title: String,
val author: String,
val year: Int
)
Now let's implement our controller (controller/BookController.kt
):
package com.example.bookapi.controller
import com.example.bookapi.model.Book
import org.springframework.http.HttpStatus
import org.springframework.web.bind.annotation.*
@RestController
@RequestMapping("/api/books")
class BookController {
// Simple in-memory storage
private val books = mutableListOf<Book>()
@GetMapping
fun getBooks(): List<Book> = books
@PostMapping
@ResponseStatus(HttpStatus.CREATED)
fun addBook(@RequestBody book: Book): Book {
books.add(book)
return book
}
}
Update BookApiApplication.kt
:
package com.example.bookapi
import org.springframework.boot.autoconfigure.SpringBootApplication
import org.springframework.boot.runApplication
@SpringBootApplication
class BookApiApplication
fun main(args: Array<String>) {
runApplication<BookApiApplication>(*args)
}
Once your application is running, you can test it using curl or any API client:
curl -X POST localhost:8080/api/books \
-H "Content-Type: application/json" \
-d '{"title":"The Kotlin Programming Language","author":"JetBrains","year":2021}'
curl localhost:8080/api/books
@RestController
annotation automatically handles JSON serialization/deserializationmutableListOf()
for simple in-memory storageThis tutorial demonstrated how to create a minimal yet production-ready REST API using Kotlin and Spring Boot. We covered the essential building blocks: data classes with validation, a REST controller with GET/POST endpoints, error handling, and unit tests.
The result is a clean, type-safe API that showcases Kotlin's strengths like concise syntax and null safety, while leveraging Spring Boot's powerful features.
The best part? You can build this API in under 30 minutes and use it as a foundation for more complex applications!
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