Kotlin StateFlow vs SharedFlow: Understanding the Differences

Kotlin StateFlow vs SharedFlow: Understanding the Differences
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Kotlin's Flow API is a powerful tool for handling streams of data in a reactive way. Within this API, two important constructs stand out: StateFlow and SharedFlow. Both are designed to manage state and share data across your application, but they serve slightly different purposes and have distinct behaviors. In this post, we will explore the differences between StateFlow and SharedFlow, when to use each, and provide some practical examples to solidify your understanding.

What is StateFlow?

StateFlow is a special type of Flow that is designed to represent and manage a state in a reactive way. It’s essentially a state-holder observable that emits the current and subsequent state updates to its collectors. Here are some key characteristics:

  • Hot Stream: StateFlow is a hot stream, meaning it always has an active state and emits the latest value to any new collectors.
  • State Holder: It holds the latest value and replays it to new collectors, ensuring that no collector misses the latest state.
  • Simplicity: StateFlow is simpler to use when you have a single piece of state that you need to observe.

Example Usage of StateFlow

import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.runBlocking

class ViewModel {
    private val _state = MutableStateFlow("Initial State")
    val state: StateFlow<String> get() = _state

    fun updateState(newState: String) {
        _state.value = newState
    }
}

fun main() = runBlocking {
    val viewModel = ViewModel()

    viewModel.state.collect { state ->
        println("Current State: $state")
    }

    viewModel.updateState("Updated State")
}

Output:

Initial State
Updated State

In this example, StateFlow holds a string state that can be updated and observed. The collector immediately gets the current state “Initial State” and will print “Updated State” when the state is updated.

What is SharedFlow?

SharedFlow, on the other hand, is a more general-purpose flow that can emit values to multiple collectors simultaneously. Unlike StateFlow, SharedFlow does not hold any state and can be configured to have different replay behaviors, making it more flexible in various scenarios.

  • Hot Stream: Like StateFlow, SharedFlow is also a hot stream.
  • No State Holding: SharedFlow does not hold any state by default, but you can configure it to replay a certain number of previous emissions.
  • Multiple Collectors: It’s designed to handle multiple collectors with more fine-tuned control over how emissions are shared and replayed.

Example Usage of SharedFlow

import kotlinx.coroutines.flow.MutableSharedFlow
import kotlinx.coroutines.flow.SharedFlow
import kotlinx.coroutines.runBlocking

class EventManager {
    private val _events = MutableSharedFlow<String>()
    val events: SharedFlow<String> get() = _events

    suspend fun triggerEvent(event: String) {
        _events.emit(event)
    }
}

fun main() = runBlocking {
    val eventManager = EventManager()

    eventManager.events.collect { event ->
        println("Event received: $event")
    }

    eventManager.triggerEvent("First Event")
    eventManager.triggerEvent("Second Event")
}

Output:

First Event
Second Event

In this example, SharedFlow is used to emit events. Collectors can receive these events in real-time, and since SharedFlow doesn’t hold state by default, only the new emissions are received.

Key Differences Between StateFlow and SharedFlow

Feature StateFlow SharedFlow
State Management Holds a state and emits the latest value No state; emits new values as they come
Replay Capability Always replays the latest state to new collectors Configurable; can replay a specified number of values
Use Case Single source of truth (state management) Event streams, broadcasting, or multicasting
Initialization Requires an initial value No initial value required

When to Use StateFlow vs SharedFlow

  • Use StateFlow when you need to manage and observe a single piece of state that should always be available to collectors. It’s ideal for scenarios like view states in an MVI architecture where you have a single source of truth.
  • Use SharedFlow when you need to broadcast events or share data among multiple collectors without maintaining a single state. It’s perfect for event-driven architectures or situations where you don’t need to hold the last emitted value.

Conclusion

Understanding when to use StateFlow versus SharedFlow is crucial for effective state management and event handling in Kotlin Multiplatform projects. StateFlow is your go-to for managing a state that needs to be observed by one or more collectors, while SharedFlow provides flexibility in handling events and broadcasting data to multiple collectors.

By mastering these tools, you can create more robust, reactive Kotlin applications that efficiently manage state and events across multiple platforms.

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