StateFlow

interface StateFlow<out T> : SharedFlow<T> (source)

A SharedFlow that represents a read-only state with a single updatable data value that emits updates to the value to its collectors. A state flow is a hot flow because its active instance exists independently of the presence of collectors. Its current value can be retrieved via the value property.

State flow never completes. A call to Flow.collect on a state flow never completes normally, and neither does a coroutine started by the Flow.launchIn function. An active collector of a state flow is called a subscriber.

A mutable state flow is created using MutableStateFlow(value) constructor function with the initial value. The value of mutable state flow can be updated by setting its value property. Updates to the value are always conflated. So a slow collector skips fast updates, but always collects the most recently emitted value.

StateFlow is useful as a data-model class to represent any kind of state. Derived values can be defined using various operators on the flows, with combine operator being especially useful to combine values from multiple state flows using arbitrary functions.

For example, the following class encapsulates an integer state and increments its value on each call to inc:

class CounterModel {
private val _counter = MutableStateFlow(0) // private mutable state flow
val counter = _counter.asStateFlow() // publicly exposed as read-only state flow

fun inc() {
_counter.update { count -> count + 1 } // atomic, safe for concurrent use
}
}

Having two instances of the above CounterModel class one can define the sum of their counters like this:

val aModel = CounterModel()
val bModel = CounterModel()
val sumFlow: Flow<Int> = aModel.counter.combine(bModel.counter) { a, b -> a + b }

As an alternative to the above usage with the MutableStateFlow(...) constructor function, any coldFlow can be converted to a state flow using the stateIn operator.

Strong equality-based conflation

Values in state flow are conflated using Any.equals comparison in a similar way to distinctUntilChanged operator. It is used to conflate incoming updates to value in MutableStateFlow and to suppress emission of the values to collectors when new value is equal to the previously emitted one. State flow behavior with classes that violate the contract for Any.equals is unspecified.

State flow is a shared flow

State flow is a special-purpose, high-performance, and efficient implementation of SharedFlow for the narrow, but widely used case of sharing a state. See the SharedFlow documentation for the basic rules, constraints, and operators that are applicable to all shared flows.

State flow always has an initial value, replays one most recent value to new subscribers, does not buffer any more values, but keeps the last emitted one, and does not support resetReplayCache. A state flow behaves identically to a shared flow when it is created with the following parameters and the distinctUntilChanged operator is applied to it:

// MutableStateFlow(initialValue) is a shared flow with the following parameters:
val shared = MutableSharedFlow(
replay = 1,
onBufferOverflow = BufferOverflow.DROP_OLDEST
)
shared.tryEmit(initialValue) // emit the initial value
val state = shared.distinctUntilChanged() // get StateFlow-like behavior

Use SharedFlow when you need a StateFlow with tweaks in its behavior such as extra buffering, replaying more values, or omitting the initial value.

StateFlow vs ConflatedBroadcastChannel

Conceptually, state flow is similar to ConflatedBroadcastChannel and is designed to completely replace it. It has the following important differences:

  • StateFlow is simpler, because it does not have to implement all the Channel APIs, which allows for faster, garbage-free implementation, unlike ConflatedBroadcastChannel implementation that allocates objects on each emitted value.

  • StateFlow always has a value which can be safely read at any time via value property. Unlike ConflatedBroadcastChannel, there is no way to create a state flow without a value.

  • StateFlow has a clear separation into a read-only StateFlow interface and a MutableStateFlow.

  • StateFlow conflation is based on equality like distinctUntilChanged operator, unlike conflation in ConflatedBroadcastChannel that is based on reference identity.

  • StateFlow cannot be closed like ConflatedBroadcastChannel and can never represent a failure. All errors and completion signals should be explicitly materialized if needed.

StateFlow is designed to better cover typical use-cases of keeping track of state changes in time, taking more pragmatic design choices for the sake of convenience.

To migrate ConflatedBroadcastChannel usage to StateFlow, start by replacing usages of the ConflatedBroadcastChannel() constructor with MutableStateFlow(initialValue), using null as an initial value if you don't have one. Replace send and trySend calls with updates to the state flow's MutableStateFlow.value, and convert subscribers' code to flow operators. You can use the filterNotNull operator to mimic behavior of a ConflatedBroadcastChannel without initial value.

Concurrency

All methods of state flow are thread-safe and can be safely invoked from concurrent coroutines without external synchronization.

Operator fusion

Application of flowOn, conflate, buffer with CONFLATED or RENDEZVOUS capacity, distinctUntilChanged, or cancellable operators to a state flow has no effect.

Implementation notes

State flow implementation is optimized for memory consumption and allocation-freedom. It uses a lock to ensure thread-safety, but suspending collector coroutines are resumed outside of this lock to avoid dead-locks when using unconfined coroutines. Adding new subscribers has O(1) amortized cost, but updating a value has O(N) cost, where N is the number of active subscribers.

Not stable for inheritance

The StateFlow interface is not stable for inheritance in 3rd party libraries, as new methods might be added to this interface in the future, but is stable for use. Use the MutableStateFlow(value) constructor function to create an implementation.

Properties

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abstract val value: T

The current value of this state flow.

Inheritors

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Extensions

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fun <T> Flow<T>.buffer(capacity: Int = BUFFERED, onBufferOverflow: BufferOverflow = BufferOverflow.SUSPEND): Flow<T>

Buffers flow emissions via channel of a specified capacity and runs collector in a separate coroutine.

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fun <T> Flow<T>.cancellable(): Flow<T>

Returns a flow which checks cancellation status on each emission and throws the corresponding cancellation cause if flow collector was cancelled. Note that flow builder and all implementations of SharedFlow are cancellable by default.

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fun <T> Flow<T>.catch(action: suspend FlowCollector<T>.(cause: Throwable) -> Unit): Flow<T>

Catches exceptions in the flow completion and calls a specified action with the caught exception. This operator is transparent to exceptions that occur in downstream flow and does not catch exceptions that are thrown to cancel the flow.

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suspend fun Flow<*>.collect()

Terminal flow operator that collects the given flow but ignores all emitted values. If any exception occurs during collect or in the provided flow, this exception is rethrown from this method.

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inline suspend fun <T> Flow<T>.collectIndexed(crossinline action: suspend (index: Int, value: T) -> Unit)

Terminal flow operator that collects the given flow with a provided action that takes the index of an element (zero-based) and the element. If any exception occurs during collect or in the provided flow, this exception is rethrown from this method.

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suspend fun <T> Flow<T>.collectLatest(action: suspend (value: T) -> Unit)

Terminal flow operator that collects the given flow with a provided action. The crucial difference from collect is that when the original flow emits a new value then the action block for the previous value is cancelled.

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@JvmName(name = "flowCombine")
fun <T1, T2, R> Flow<T1>.combine(flow: Flow<T2>, transform: suspend (a: T1, b: T2) -> R): Flow<R>

Returns a Flow whose values are generated with transform function by combining the most recently emitted values by each flow.

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@JvmName(name = "flowCombineTransform")
fun <T1, T2, R> Flow<T1>.combineTransform(flow: Flow<T2>, transform: suspend FlowCollector<R>.(a: T1, b: T2) -> Unit): Flow<R>

Returns a Flow whose values are generated by transform function that process the most recently emitted values by each flow.

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fun <T> Flow<T>.conflate(): Flow<T>

Conflates flow emissions via conflated channel and runs collector in a separate coroutine. The effect of this is that emitter is never suspended due to a slow collector, but collector always gets the most recent value emitted.

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suspend fun <T> Flow<T>.count(): Int

Returns the number of elements in this flow.

suspend fun <T> Flow<T>.count(predicate: suspend (T) -> Boolean): Int

Returns the number of elements matching the given predicate.

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fun <T> Flow<T>.debounce(timeoutMillis: Long): Flow<T>
fun <T> Flow<T>.debounce(timeoutMillis: (T) -> Long): Flow<T>
fun <T> Flow<T>.debounce(timeout: Duration): Flow<T>
@JvmName(name = "debounceDuration")
fun <T> Flow<T>.debounce(timeout: (T) -> Duration): Flow<T>

Returns a flow that mirrors the original flow, but filters out values that are followed by the newer values within the given timeout. The latest value is always emitted.

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Returns flow where all subsequent repetitions of the same value are filtered out.

fun <T> Flow<T>.distinctUntilChanged(areEquivalent: (old: T, new: T) -> Boolean): Flow<T>

Returns flow where all subsequent repetitions of the same value are filtered out, when compared with each other via the provided areEquivalent function.

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fun <T, K> Flow<T>.distinctUntilChangedBy(keySelector: (T) -> K): Flow<T>

Returns flow where all subsequent repetitions of the same key are filtered out, where key is extracted with keySelector function.

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fun <T> Flow<T>.drop(count: Int): Flow<T>

Returns a flow that ignores first count elements. Throws IllegalArgumentException if count is negative.

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fun <T> Flow<T>.dropWhile(predicate: suspend (T) -> Boolean): Flow<T>

Returns a flow containing all elements except first elements that satisfy the given predicate.

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inline fun <T> Flow<T>.filter(crossinline predicate: suspend (T) -> Boolean): Flow<T>

Returns a flow containing only values of the original flow that match the given predicate.

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inline fun <R> Flow<*>.filterIsInstance(): Flow<R>

Returns a flow containing only values that are instances of specified type R.

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inline fun <T> Flow<T>.filterNot(crossinline predicate: suspend (T) -> Boolean): Flow<T>

Returns a flow containing only values of the original flow that do not match the given predicate.

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fun <T : Any> Flow<T?>.filterNotNull(): Flow<T>

Returns a flow containing only values of the original flow that are not null.

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suspend fun <T> Flow<T>.first(): T

The terminal operator that returns the first element emitted by the flow and then cancels flow's collection. Throws NoSuchElementException if the flow was empty.

suspend fun <T> Flow<T>.first(predicate: suspend (T) -> Boolean): T

The terminal operator that returns the first element emitted by the flow matching the given predicate and then cancels flow's collection. Throws NoSuchElementException if the flow has not contained elements matching the predicate.

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suspend fun <T> Flow<T>.firstOrNull(): T?

The terminal operator that returns the first element emitted by the flow and then cancels flow's collection. Returns null if the flow was empty.

suspend fun <T> Flow<T>.firstOrNull(predicate: suspend (T) -> Boolean): T?

The terminal operator that returns the first element emitted by the flow matching the given predicate and then cancels flow's collection. Returns null if the flow did not contain an element matching the predicate.

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fun <T, R> Flow<T>.flatMapConcat(transform: suspend (value: T) -> Flow<R>): Flow<R>

Transforms elements emitted by the original flow by applying transform, that returns another flow, and then concatenating and flattening these flows.

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inline fun <T, R> Flow<T>.flatMapLatest(crossinline transform: suspend (value: T) -> Flow<R>): Flow<R>

Returns a flow that switches to a new flow produced by transform function every time the original flow emits a value. When the original flow emits a new value, the previous flow produced by transform block is cancelled.

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fun <T, R> Flow<T>.flatMapMerge(concurrency: Int = DEFAULT_CONCURRENCY, transform: suspend (value: T) -> Flow<R>): Flow<R>

Transforms elements emitted by the original flow by applying transform, that returns another flow, and then merging and flattening these flows.

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Flattens the given flow of flows into a single flow in a sequential manner, without interleaving nested flows.

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fun <T> Flow<Flow<T>>.flattenMerge(concurrency: Int = DEFAULT_CONCURRENCY): Flow<T>

Flattens the given flow of flows into a single flow with a concurrency limit on the number of concurrently collected flows.

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fun <T> Flow<T>.flowOn(context: CoroutineContext): Flow<T>

Changes the context where this flow is executed to the given context. This operator is composable and affects only preceding operators that do not have its own context. This operator is context preserving: contextdoes not leak into the downstream flow.

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inline suspend fun <T, R> Flow<T>.fold(initial: R, crossinline operation: suspend (acc: R, value: T) -> R): R

Accumulates value starting with initial value and applying operation current accumulator value and each element

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suspend fun <T> Flow<T>.last(): T

The terminal operator that returns the last element emitted by the flow.

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suspend fun <T> Flow<T>.lastOrNull(): T?

The terminal operator that returns the last element emitted by the flow or null if the flow was empty.

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fun <T> Flow<T>.launchIn(scope: CoroutineScope): Job

Terminal flow operator that launches the collection of the given flow in the scope. It is a shorthand for scope.launch { flow.collect() }.

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inline fun <T, R> Flow<T>.map(crossinline transform: suspend (value: T) -> R): Flow<R>

Returns a flow containing the results of applying the given transform function to each value of the original flow.

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fun <T, R> Flow<T>.mapLatest(transform: suspend (value: T) -> R): Flow<R>

Returns a flow that emits elements from the original flow transformed by transform function. When the original flow emits a new value, computation of the transform block for previous value is cancelled.

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inline fun <T, R : Any> Flow<T>.mapNotNull(crossinline transform: suspend (value: T) -> R?): Flow<R>

Returns a flow that contains only non-null results of applying the given transform function to each value of the original flow.

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fun <T> Flow<T>.onCompletion(action: suspend FlowCollector<T>.(cause: Throwable?) -> Unit): Flow<T>

Returns a flow that invokes the given actionafter the flow is completed or cancelled, passing the cancellation exception or failure as cause parameter of action.

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fun <T> Flow<T>.onEach(action: suspend (T) -> Unit): Flow<T>

Returns a flow that invokes the given actionbefore each value of the upstream flow is emitted downstream.

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fun <T> Flow<T>.onEmpty(action: suspend FlowCollector<T>.() -> Unit): Flow<T>

Invokes the given action when this flow completes without emitting any elements. The receiver of the action is FlowCollector, so onEmpty can emit additional elements. For example:

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fun <T> Flow<T>.onStart(action: suspend FlowCollector<T>.() -> Unit): Flow<T>

Returns a flow that invokes the given actionbefore this flow starts to be collected.

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fun <T> SharedFlow<T>.onSubscription(action: suspend FlowCollector<T>.() -> Unit): SharedFlow<T>

Returns a flow that invokes the given actionafter this shared flow starts to be collected (after the subscription is registered).

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Creates a produce coroutine that collects the given flow.

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suspend fun <S, T : S> Flow<T>.reduce(operation: suspend (accumulator: S, value: T) -> S): S

Accumulates value starting with the first element and applying operation to current accumulator value and each element. Throws NoSuchElementException if flow was empty.

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fun <T> Flow<T>.retry(retries: Long = Long.MAX_VALUE, predicate: suspend (cause: Throwable) -> Boolean = { true }): Flow<T>

Retries collection of the given flow up to retries times when an exception that matches the given predicate occurs in the upstream flow. This operator is transparent to exceptions that occur in downstream flow and does not retry on exceptions that are thrown to cancel the flow.

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fun <T> Flow<T>.retryWhen(predicate: suspend FlowCollector<T>.(cause: Throwable, attempt: Long) -> Boolean): Flow<T>

Retries collection of the given flow when an exception occurs in the upstream flow and the predicate returns true. The predicate also receives an attempt number as parameter, starting from zero on the initial call. This operator is transparent to exceptions that occur in downstream flow and does not retry on exceptions that are thrown to cancel the flow.

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fun <T, R> Flow<T>.runningFold(initial: R, operation: suspend (accumulator: R, value: T) -> R): Flow<R>

Folds the given flow with operation, emitting every intermediate result, including initial value. Note that initial value should be immutable (or should not be mutated) as it is shared between different collectors. For example:

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fun <T> Flow<T>.runningReduce(operation: suspend (accumulator: T, value: T) -> T): Flow<T>

Reduces the given flow with operation, emitting every intermediate result, including initial value. The first element is taken as initial value for operation accumulator. This operator has a sibling with initial value -- scan.

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fun <T> Flow<T>.sample(periodMillis: Long): Flow<T>
fun <T> Flow<T>.sample(period: Duration): Flow<T>

Returns a flow that emits only the latest value emitted by the original flow during the given sampling period.

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fun <T, R> Flow<T>.scan(initial: R, operation: suspend (accumulator: R, value: T) -> R): Flow<R>

Folds the given flow with operation, emitting every intermediate result, including initial value. Note that initial value should be immutable (or should not be mutated) as it is shared between different collectors. For example:

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fun <T> Flow<T>.shareIn(    scope: CoroutineScope,     started: SharingStarted,     replay: Int = 0): SharedFlow<T>

Converts a coldFlow into a hotSharedFlow that is started in the given coroutine scope, sharing emissions from a single running instance of the upstream flow with multiple downstream subscribers, and replaying a specified number of replay values to new subscribers. See the SharedFlow documentation for the general concepts of shared flows.

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suspend fun <T> Flow<T>.single(): T

The terminal operator that awaits for one and only one value to be emitted. Throws NoSuchElementException for empty flow and IllegalStateException for flow that contains more than one element.

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suspend fun <T> Flow<T>.singleOrNull(): T?

The terminal operator that awaits for one and only one value to be emitted. Returns the single value or null, if the flow was empty or emitted more than one value.

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fun <T> Flow<T>.stateIn(    scope: CoroutineScope,     started: SharingStarted,     initialValue: T): StateFlow<T>

Converts a coldFlow into a hotStateFlow that is started in the given coroutine scope, sharing the most recently emitted value from a single running instance of the upstream flow with multiple downstream subscribers. See the StateFlow documentation for the general concepts of state flows.

suspend fun <T> Flow<T>.stateIn(scope: CoroutineScope): StateFlow<T>

Starts the upstream flow in a given scope, suspends until the first value is emitted, and returns a hotStateFlow of future emissions, sharing the most recently emitted value from this running instance of the upstream flow with multiple downstream subscribers. See the StateFlow documentation for the general concepts of state flows.

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fun <T> Flow<T>.take(count: Int): Flow<T>

Returns a flow that contains first count elements. When count elements are consumed, the original flow is cancelled. Throws IllegalArgumentException if count is not positive.

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fun <T> Flow<T>.takeWhile(predicate: suspend (T) -> Boolean): Flow<T>

Returns a flow that contains first elements satisfying the given predicate.

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suspend fun <T, C : MutableCollection<in T>> Flow<T>.toCollection(destination: C): C

Collects given flow into a destination

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suspend fun <T> Flow<T>.toList(destination: MutableList<T> = ArrayList()): List<T>

Collects given flow into a destination

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suspend fun <T> Flow<T>.toSet(destination: MutableSet<T> = LinkedHashSet()): Set<T>

Collects given flow into a destination

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inline fun <T, R> Flow<T>.transform(crossinline transform: suspend FlowCollector<R>.(value: T) -> Unit): Flow<R>

Applies transform function to each value of the given flow.

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fun <T, R> Flow<T>.transformLatest(transform: suspend FlowCollector<R>.(value: T) -> Unit): Flow<R>

Returns a flow that produces element by transform function every time the original flow emits a value. When the original flow emits a new value, the previous transform block is cancelled, thus the name transformLatest.

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fun <T, R> Flow<T>.transformWhile(transform: suspend FlowCollector<R>.(value: T) -> Boolean): Flow<R>

Applies transform function to each value of the given flow while this function returns true.

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Returns a flow that wraps each element into IndexedValue, containing value and its index (starting from zero).

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fun <T1, T2, R> Flow<T1>.zip(other: Flow<T2>, transform: suspend (T1, T2) -> R): Flow<R>

Zips values from the current flow (this) with other flow using provided transform function applied to each pair of values. The resulting flow completes as soon as one of the flows completes and cancel is called on the remaining flow.