As Android developers, Kotlin coroutines have become an indispensable tool in our asynchronous programming toolkit. They simplify concurrent tasks, make code more readable, and help us avoid the callback hell that was prevalent with earlier approaches. However, coroutines come with their own set of challenges, and it’s easy to fall into common pitfalls that can lead to bugs, crashes, or suboptimal performance.
In this article, we’ll explore the top 10 coroutine mistakes that many of us have made (often unknowingly) and provide guidance on how to avoid them. Whether you’re a seasoned developer or just starting with coroutines, this guide aims to enhance your understanding and help you write more robust asynchronous code.
The Mistake:
Running long-running or blocking tasks on the Main
dispatcher, which can freeze the UI and lead to Application Not Responding (ANR) errors.
Why It Happens:
It’s easy to forget which dispatcher is being used, especially in complex codebases. Developers might launch a coroutine without specifying a dispatcher, inadvertently using the Main
dispatcher by default.
How to Avoid It:
Always specify the appropriate dispatcher for your coroutine:
// Wrong
GlobalScope.launch {
// Long-running task
}// Correct
GlobalScope.launch(Dispatchers.IO) {
// Long-running task
}
Use Dispatchers.IO
for I/O operations and Dispatchers.Default
for CPU-intensive tasks. Reserve Dispatchers.Main
for updating the UI.
The Mistake:
Not properly structuring coroutine scopes, leading to unmanaged coroutines that outlive their intended lifecycle, causing memory leaks or crashes.
Why It Happens:
Using GlobalScope
indiscriminately or failing to cancel coroutines when a component is destroyed.
How to Avoid It:
Use structured concurrency by tying coroutines to a specific lifecycle:
- In activities or fragments, use
lifecycleScope
orviewLifecycleOwner.lifecycleScope
. - In ViewModels, use
viewModelScope
.
Example:
// In a ViewModel
viewModelScope.launch {
// Coroutine work
}
This ensures that coroutines are cancelled appropriately when the associated lifecycle is destroyed.
The Mistake:
Failing to handle exceptions within coroutines properly, which can cause unexpected crashes or silent failures.
Why It Happens:
Assuming that try-catch blocks will work the same way inside coroutines or not understanding how exceptions propagate in coroutine hierarchies.
How to Avoid It:
- Use
try-catch
within the coroutine to handle exceptions. - For structured concurrency, exceptions in child coroutines are propagated to the parent.
Example:
viewModelScope.launch {
try {
// Suspended function that might throw an exception
} catch (e: Exception) {
// Handle exception
}
}
Alternatively, use a CoroutineExceptionHandler
for unhandled exceptions.
The Mistake:
Confusing launch
and async
builders, leading to unintended behavior, such as missing results or unnecessary concurrency.
Why It Happens:
Misunderstanding the difference between launch
(which returns Job
) and async
(which returns Deferred
and is meant for obtaining a result).
How to Avoid It:
- Use
launch
when you don’t need a result and want to fire off a coroutine. - Use
async
when you need to compute a value asynchronously.
Example:
// Using async when you need a result
val deferredResult = async {
computeValue()
}
val result = deferredResult.await()
The Mistake:
Relying on GlobalScope
for launching coroutines, which can lead to coroutines that run longer than needed and are difficult to manage.
Why It Happens:
Forgetting to consider the coroutine’s lifecycle or for the sake of simplicity in examples and tutorials.
How to Avoid It:
Avoid GlobalScope
unless absolutely necessary. Instead, use structured concurrency with appropriate scopes:
lifecycleScope
for UI-related components.viewModelScope
for ViewModels.- Custom
CoroutineScope
with proper cancellation.
The Mistake:
Accessing or modifying shared mutable data from multiple coroutines without proper synchronization, leading to race conditions.
Why It Happens:
Assuming that coroutines handle threading for you and neglecting the need for thread safety in shared resources.
How to Avoid It:
- Use thread-safe data structures.
- Synchronize access with
Mutex
orAtomic
classes. - Confine mutable state to specific threads or coroutines.
Example using Mutex
:
val mutex = Mutex()
var sharedResource = 0coroutineScope.launch {
mutex.withLock {
sharedResource++
}
}
The Mistake:
Not cancelling coroutines when they’re no longer needed, which can waste resources or cause unintended side effects.
Why It Happens:
Overlooking cancellation logic or not handling it properly in custom scopes.
How to Avoid It:
- Use structured concurrency so that coroutines are cancelled automatically.
- When using custom scopes, ensure that you cancel them at the appropriate time.
Example:
val job = CoroutineScope(Dispatchers.IO).launch {
// Work
}// Cancel when done
job.cancel()
The Mistake:
Using blocking calls like Thread.sleep()
or heavy computations inside coroutines without switching to an appropriate dispatcher, which can block the underlying thread.
Why It Happens:
Misunderstanding that coroutines are lightweight threads and thinking that blocking operations are safe within them.
How to Avoid It:
- Avoid blocking calls inside coroutines.
- Use suspend functions like
delay()
instead ofThread.sleep()
. - Offload heavy computations to
Dispatchers.Default
.
Example:
// Wrong
launch(Dispatchers.IO) {
Thread.sleep(1000)
}// Correct
launch(Dispatchers.IO) {
delay(1000)
}
The Mistake:
Using withContext
incorrectly, such as nesting it unnecessarily or misunderstanding its purpose, leading to code that’s hard to read or inefficient.
Why It Happens:
Confusion about context switching and the scope of withContext
.
How to Avoid It:
- Use
withContext
to switch the context for a specific block of code. - Don’t nest
withContext
calls without need. - Keep
withContext
blocks as small as possible.
Example:
// Correct usage
val result = withContext(Dispatchers.IO) {
// Perform I/O operation
}
The Mistake:
Neglecting to write proper tests for coroutine-based code, or writing tests that don’t handle coroutines correctly, leading to flaky or unreliable tests.
Why It Happens:
Testing asynchronous code is more complex, and developers might not be familiar with the testing tools available for coroutines.
How to Avoid It:
- Use
runBlockingTest
orrunTest
fromkotlinx-coroutines-test
for unit testing coroutines. - Leverage
TestCoroutineDispatcher
andTestCoroutineScope
to control coroutine execution in tests. - Ensure that you advance time properly when testing code with delays or timeouts.
Example:
@Test
fun testCoroutine() = runTest {
val result = mySuspendingFunction()
assertEquals(expectedResult, result)
}
Coroutines are powerful, but with great power comes great responsibility. By being aware of these common mistakes and understanding how to avoid them, you can write more efficient, reliable, and maintainable asynchronous code in your Android applications.
Remember:
- Always choose the correct dispatcher.
- Tie your coroutines to the appropriate lifecycle.
- Handle exceptions thoughtfully.
- Be mindful of coroutine scopes and cancellation.
- Test your coroutine code thoroughly.
By following these best practices, you’ll harness the full potential of Kotlin coroutines and provide a smoother, more responsive experience for your app users.
Dobri Kostadinov
Android Consultant | Trainer
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