π‘ Differences between LiveData and Flows
π Mastering StateFlow in Android Development
With the rise of Kotlin Coroutines, StateFlow
has become an essential tool in modern Android architecture. It provides a reactive, predictable, and lifecycle-agnostic way to manage UI state in ViewModels.
In this blog, weβll cover:
- What is StateFlow?
- StateFlow vs LiveData
- When to use StateFlow
- Key features and syntax
- Code examples
- Best practices
- Common mistakes
π‘ What is StateFlow?
StateFlow
is a hot, state-holder flow introduced in Kotlin Coroutines 1.4+. It behaves like a LiveData
, holding the latest value and notifying all collectors when the value changes.
```kotlin
private val _uiState = MutableStateFlow(βHelloβ)
val uiState: StateFlow
Feature StateFlow LiveData Lifecycle-aware β No (use with lifecycleScope) β Yes Coroutine-native β Yes β οΈ No (requires conversion) Holds latest value β Yes β Yes Cold/Hot π₯ Hot βοΈ Cold Backpressure β Respects coroutines β οΈ Limited π When to Use StateFlow? UI state management inside ViewModels
Two-way data binding with Compose
Form validation and input fields
Loading/error/success screen states
Internal state handling, replacing LiveData
𧬠StateFlow Example
kotlin
Copy
Edit
class MyViewModel : ViewModel() {
private val _counter = MutableStateFlow(0)
val counter: StateFlow
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fun increment() {
_counter.value++
} } In Compose: kotlin Copy Edit @Composable fun CounterScreen(viewModel: MyViewModel) {
val count by viewModel.counter.collectAsState()
Button(onClick = { viewModel.increment() }) {
Text("Count: $count")
} } π Best Practices Expose as read-only using asStateFlow()
Use collectAsState() in Compose
Use with lifecycleScope in XML-based UI
Avoid using for events (use SharedFlow instead)
β Common Mistakes β Collecting in wrong lifecycle state
β Using StateFlow for navigation/toasts
β Emitting from outside ViewModelScope