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Kotlin

23 / 68 topics
23Coroutines Basics24Suspend Functions25Channels in Coroutines26Flow in Kotlin27Concurrency Model28Exception Handling in Coroutines29Async and Await30Structured Concurrency
Tutorials/Kotlin/Coroutines Basics
🎯Kotlin

Coroutines Basics

Updated 2026-04-20
4 min read

Coroutines Basics

Kotlin coroutines are a powerful feature that allows you to write asynchronous, non-blocking code in a more readable and maintainable way compared to traditional callback-based approaches. This section will introduce you to the fundamentals of coroutines, including how to define, launch, and manage them.

Introduction to Coroutines

Coroutines are lightweight threads managed by the Kotlin runtime. They allow you to write asynchronous code that looks synchronous, making it easier to understand and maintain. Coroutines are particularly useful for I/O-bound tasks, such as network requests or file operations, where waiting for external resources can be inefficient when using traditional threading.

Setting Up Coroutines

To use coroutines in your Kotlin project, you need to add the appropriate dependencies. If you're using Gradle, include the following in your build.gradle.kts:

dependencies {
    implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.6.0")
}

Defining Coroutines

Coroutines are defined using suspending functions. A suspending function is a special kind of function that can pause its execution and resume later, without blocking the thread.

Suspending Functions

To define a suspending function, use the suspend keyword:

import kotlinx.coroutines.*

fun main() = runBlocking {
    println("Start")
    val result = doSomething()
    println("Result: $result")
}

suspend fun doSomething(): String {
    delay(1000) // Simulate a delay
    return "Done"
}

In this example, doSomething is a suspending function that simulates a delay using the delay function from the coroutines library. The delay function does not block the thread but pauses the coroutine for the specified duration.

Launching Coroutines

You can launch coroutines using the launch or async functions provided by the coroutines library.

Using launch

The launch function is used to start a new coroutine without expecting a result. It returns a Job, which represents the execution of the coroutine:

fun main() = runBlocking {
    val job = launch {
        delay(1000)
        println("Task completed")
    }
    println("Main program continues")
    job.join() // Wait for the coroutine to complete
}

In this example, a new coroutine is launched that prints "Task completed" after a 1-second delay. The join function is used to wait for the coroutine to finish before the main program exits.

Using async

The async function is used when you need to perform an asynchronous task and expect a result. It returns a Deferred, which represents a future value:

fun main() = runBlocking {
    val deferred = async {
        delay(1000)
        "Result"
    }
    println("Main program continues")
    val result = deferred.await() // Wait for the result
    println("Result: $result")
}

In this example, an asynchronous task is launched that returns a string after a 1-second delay. The await function is used to retrieve the result of the coroutine.

Coroutine Scope

Coroutines are executed within a scope, which determines their lifecycle and cancellation behavior. The most common scopes are:

  • GlobalScope: Launches coroutines in the global scope, which lives for the entire duration of the application.
  • runBlocking: Creates a new coroutine scope that blocks the current thread until all child coroutines complete.
  • CoroutineScope: A general-purpose scope that can be used to manage the lifecycle of coroutines.

Using CoroutineScope

To create a custom coroutine scope, you can use the CoroutineScope class:

import kotlinx.coroutines.*

fun main() = runBlocking {
    val scope = CoroutineScope(Dispatchers.Default)
    scope.launch {
        delay(1000)
        println("Task completed")
    }
    delay(500)
    scope.cancel() // Cancel the coroutine scope
}

In this example, a custom coroutine scope is created using CoroutineScope with the default dispatcher. The scope is used to launch a coroutine that prints "Task completed" after a 1-second delay. After a half-second, the scope is canceled, which cancels all coroutines launched within it.

Coroutine Context

The context of a coroutine determines its execution environment, including the thread pool and other properties. You can customize the context using CoroutineContext or predefined contexts like Dispatchers.

Using Dispatchers

Kotlin provides several dispatchers for different types of tasks:

  • Dispatchers.Default: Uses a shared pool of threads optimized for CPU-intensive tasks.
  • Dispatchers.IO: Uses a shared pool of threads optimized for I/O operations.
  • Dispatchers.Main: Used for UI-related work, typically in Android development.
fun main() = runBlocking {
    launch(Dispatchers.Default) {
        println("Running on ${Thread.currentThread().name}")
    }
}

In this example, a coroutine is launched with the Dispatchers.Default context, which uses a shared pool of threads optimized for CPU-intensive tasks.

Best Practices

  1. Avoid Blocking Calls: Always use suspending functions instead of blocking calls to avoid freezing the thread.
  2. Use Structured Concurrency: Use coroutines scopes to manage the lifecycle of coroutines and ensure they are properly canceled when no longer needed.
  3. Handle Exceptions: Use try-catch blocks or CoroutineExceptionHandler to handle exceptions in coroutines.
  4. Choose Appropriate Dispatchers: Select the appropriate dispatcher based on the nature of the task (CPU-bound, I/O-bound, UI-related).

Conclusion

Kotlin coroutines provide a powerful and flexible way to write asynchronous code that is easy to read and maintain. By understanding how to define, launch, and manage coroutines, you can significantly improve the performance and responsiveness of your applications.

In the next section, we will explore more advanced topics in coroutines, such as channels, flows, and structured concurrency patterns.


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