Actors - Version 2.5-SNAPSHOT


The Actor Model provides a higher level of abstraction for writing concurrent and distributed systems. It alleviates the developer from having to deal with explicit locking and thread management, making it easier to write correct concurrent and parallel systems. Actors were defined in the 1973 paper by Carl Hewitt but have been popularized by the Erlang language, and used for example at Ericsson with great success to build highly concurrent and reliable telecom systems.

The API of Akka’s Actors is similar to Scala Actors which has borrowed some of its syntax from Erlang.

Creating Actors


Since Akka enforces parental supervision every actor is supervised and (potentially) the supervisor of its children, it is advisable that you familiarize yourself with Actor Systems and Supervision and Monitoring and it may also help to read Actor References, Paths and Addresses.

Defining an Actor class

Actors are implemented by extending the Actor base trait and implementing the receive method. The receive method should define a series of case statements (which has the type PartialFunction[Any, Unit]) that defines which messages your Actor can handle, using standard Scala pattern matching, along with the implementation of how the messages should be processed.

Here is an example:

import akka.event.Logging

class MyActor extends Actor {
  val log = Logging(context.system, this)

  def receive = {
    case "test" =>"received test")
    case _      =>"received unknown message")

Please note that the Akka Actor receive message loop is exhaustive, which is different compared to Erlang and the late Scala Actors. This means that you need to provide a pattern match for all messages that it can accept and if you want to be able to handle unknown messages then you need to have a default case as in the example above. Otherwise an, sender, recipient) will be published to the ActorSystem's EventStream.

Note further that the return type of the behavior defined above is Unit; if the actor shall reply to the received message then this must be done explicitly as explained below.

The result of the receive method is a partial function object, which is stored within the actor as its “initial behavior”, see Become/Unbecome for further information on changing the behavior of an actor after its construction.


Props is a configuration class to specify options for the creation of actors, think of it as an immutable and thus freely shareable recipe for creating an actor including associated deployment information (e.g. which dispatcher to use, see more below). Here are some examples of how to create a Props instance.


val props1 = Props[MyActor]
val props2 = Props(new ActorWithArgs("arg")) // careful, see below
val props3 = Props(classOf[ActorWithArgs], "arg") // no support for value class arguments

The second variant shows how to pass constructor arguments to the Actor being created, but it should only be used outside of actors as explained below.

The last line shows a possibility to pass constructor arguments regardless of the context it is being used in. The presence of a matching constructor is verified during construction of the Props object, resulting in an IllegalArgumentException if no or multiple matching constructors are found.


The recommended approach to create the actor Props is not supported for cases when the actor constructor takes value classes as arguments.

Dangerous Variants

// NOT RECOMMENDED within another actor:
// encourages to close over enclosing class
val props7 = Props(new MyActor)

This method is not recommended to be used within another actor because it encourages to close over the enclosing scope, resulting in non-serializable Props and possibly race conditions (breaking the actor encapsulation). On the other hand using this variant in a Props factory in the actor’s companion object as documented under “Recommended Practices” below is completely fine.

There were two use-cases for these methods: passing constructor arguments to the actor—which is solved by the newly introduced Props.apply(clazz, args) method above or the recommended practice below—and creating actors “on the spot” as anonymous classes. The latter should be solved by making these actors named classes instead (if they are not declared within a top-level object then the enclosing instance’s this reference needs to be passed as the first argument).


Declaring one actor within another is very dangerous and breaks actor encapsulation. Never pass an actor’s this reference into Props!

Edge cases

There are two edge cases in actor creation with Props:

  • An actor with AnyVal arguments.
case class MyValueClass(v: Int) extends AnyVal
class ValueActor(value: MyValueClass) extends Actor {
  def receive = {
    case multiplier: Long => sender() ! (value.v * multiplier)
val valueClassProp = Props(classOf[ValueActor], MyValueClass(5)) // Unsupported
  • An actor with default constructor values.
class DefaultValueActor(a: Int, b: Int = 5) extends Actor {
  def receive = {
    case x: Int => sender() ! ((a + x) * b)

val defaultValueProp1 = Props(classOf[DefaultValueActor], 2.0) // Unsupported

class DefaultValueActor2(b: Int = 5) extends Actor {
  def receive = {
    case x: Int => sender() ! (x * b)
val defaultValueProp2 = Props[DefaultValueActor2] // Unsupported
val defaultValueProp3 = Props(classOf[DefaultValueActor2]) // Unsupported

In both cases an IllegalArgumentException will be thrown stating no matching constructor could be found.

The next section explains the recommended ways to create Actor props in a way, which simultaneously safe-guards against these edge cases.

Creating Actors with Props

Actors are created by passing a Props instance into the actorOf factory method which is available on ActorSystem and ActorContext.


// ActorSystem is a heavy object: create only one per application
val system = ActorSystem("mySystem")
val myActor = system.actorOf(Props[MyActor], "myactor2")

Using the ActorSystem will create top-level actors, supervised by the actor system’s provided guardian actor, while using an actor’s context will create a child actor.

class FirstActor extends Actor {
  val child = context.actorOf(Props[MyActor], name = "myChild")
  // plus some behavior ...

It is recommended to create a hierarchy of children, grand-children and so on such that it fits the logical failure-handling structure of the application, see Actor Systems.

The call to actorOf returns an instance of ActorRef. This is a handle to the actor instance and the only way to interact with it. The ActorRef is immutable and has a one to one relationship with the Actor it represents. The ActorRef is also serializable and network-aware. This means that you can serialize it, send it over the wire and use it on a remote host and it will still be representing the same Actor on the original node, across the network.

The name parameter is optional, but you should preferably name your actors, since that is used in log messages and for identifying actors. The name must not be empty or start with $, but it may contain URL encoded characters (eg. %20 for a blank space). If the given name is already in use by another child to the same parent an InvalidActorNameException is thrown.

Actors are automatically started asynchronously when created.

Value classes as constructor arguments

The recommended way to instantiate actor props uses reflection at runtime to determine the correct actor constructor to be invoked and due to technical limitations is not supported when said constructor takes arguments that are value classes. In these cases you should either unpack the arguments or create the props by calling the constructor manually:

class Argument(val value: String) extends AnyVal
class ValueClassActor(arg: Argument) extends Actor {
  def receive = { case _ => () }

object ValueClassActor {
  def props1(arg: Argument) = Props(classOf[ValueClassActor], arg) // fails at runtime
  def props2(arg: Argument) = Props(classOf[ValueClassActor], arg.value) // ok
  def props3(arg: Argument) = Props(new ValueClassActor(arg)) // ok

Dependency Injection

If your Actor has a constructor that takes parameters then those need to be part of the Props as well, as described above. But there are cases when a factory method must be used, for example when the actual constructor arguments are determined by a dependency injection framework.


class DependencyInjector(applicationContext: AnyRef, beanName: String)
  extends IndirectActorProducer {

  override def actorClass = classOf[Actor]
  override def produce =
    // obtain fresh Actor instance from DI framework ...

val actorRef = system.actorOf(
  Props(classOf[DependencyInjector], applicationContext, "hello"),


You might be tempted at times to offer an IndirectActorProducer which always returns the same instance, e.g. by using a lazy val. This is not supported, as it goes against the meaning of an actor restart, which is described here: What Restarting Means.

When using a dependency injection framework, actor beans MUST NOT have singleton scope.

Techniques for dependency injection and integration with dependency injection frameworks are described in more depth in the Using Akka with Dependency Injection guideline and the Akka Java Spring tutorial.

The Inbox

When writing code outside of actors which shall communicate with actors, the ask pattern can be a solution (see below), but there are two things it cannot do: receiving multiple replies (e.g. by subscribing an ActorRef to a notification service) and watching other actors’ lifecycle. For these purposes there is the Inbox class:

implicit val i = inbox()
echo ! "hello"
i.receive() should ===("hello")

There is an implicit conversion from inbox to actor reference which means that in this example the sender reference will be that of the actor hidden away within the inbox. This allows the reply to be received on the last line. Watching an actor is quite simple as well:

val target = // some actor
val i = inbox()
i watch target

Actor API

The Actor trait defines only one abstract method, the above mentioned receive, which implements the behavior of the actor.

If the current actor behavior does not match a received message, unhandled is called, which by default publishes an, sender, recipient) on the actor system’s event stream (set configuration item to on to have them converted into actual Debug messages).

In addition, it offers:

  • self reference to the ActorRef of the actor

  • sender reference sender Actor of the last received message, typically used as described in Reply to messages

  • supervisorStrategy user overridable definition the strategy to use for supervising child actors

    This strategy is typically declared inside the actor in order to have access to the actor’s internal state within the decider function: since failure is communicated as a message sent to the supervisor and processed like other messages (albeit outside of the normal behavior), all values and variables within the actor are available, as is the sender reference (which will be the immediate child reporting the failure; if the original failure occurred within a distant descendant it is still reported one level up at a time).

  • context exposes contextual information for the actor and the current message, such as:

    • factory methods to create child actors (actorOf)
    • system that the actor belongs to
    • parent supervisor
    • supervised children
    • lifecycle monitoring
    • hotswap behavior stack as described in Become/Unbecome

You can import the members in the context to avoid prefixing access with context.

class FirstActor extends Actor {
  import context._
  val myActor = actorOf(Props[MyActor], name = "myactor")
  def receive = {
    case x => myActor ! x

The remaining visible methods are user-overridable life-cycle hooks which are described in the following:

def preStart(): Unit = ()

def postStop(): Unit = ()

def preRestart(reason: Throwable, message: Option[Any]): Unit = {
  context.children foreach { child 

def postRestart(reason: Throwable): Unit = {

The implementations shown above are the defaults provided by the Actor trait.

Actor Lifecycle


A path in an actor system represents a "place" which might be occupied by a living actor. Initially (apart from system initialized actors) a path is empty. When actorOf() is called it assigns an incarnation of the actor described by the passed Props to the given path. An actor incarnation is identified by the path and a UID. A restart only swaps the Actor instance defined by the Props but the incarnation and hence the UID remains the same.

The lifecycle of an incarnation ends when the actor is stopped. At that point the appropriate lifecycle events are called and watching actors are notified of the termination. After the incarnation is stopped, the path can be reused again by creating an actor with actorOf(). In this case the name of the new incarnation will be the same as the previous one but the UIDs will differ. An actor can be stopped by the actor itself, another actor or the ActorSystem (see Stopping actors).


It is important to note that Actors do not stop automatically when no longer referenced, every Actor that is created must also explicitly be destroyed. The only simplification is that stopping a parent Actor will also recursively stop all the child Actors that this parent has created.

An ActorRef always represents an incarnation (path and UID) not just a given path. Therefore if an actor is stopped and a new one with the same name is created an ActorRef of the old incarnation will not point to the new one.

ActorSelection on the other hand points to the path (or multiple paths if wildcards are used) and is completely oblivious to which incarnation is currently occupying it. ActorSelection cannot be watched for this reason. It is possible to resolve the current incarnation's ActorRef living under the path by sending an Identify message to the ActorSelection which will be replied to with an ActorIdentity containing the correct reference (see Identifying Actors via Actor Selection). This can also be done with the resolveOne method of the ActorSelection, which returns a Future of the matching ActorRef.

Lifecycle Monitoring aka DeathWatch

In order to be notified when another actor terminates (i.e. stops permanently, not temporary failure and restart), an actor may register itself for reception of the Terminated message dispatched by the other actor upon termination (see Stopping Actors). This service is provided by the DeathWatch component of the actor system.

Registering a monitor is easy:

import{ Actor, Props, Terminated }

class WatchActor extends Actor {
  val child = context.actorOf(Props.empty, "child") // <-- this is the only call needed for registration
  var lastSender = context.system.deadLetters

  def receive = {
    case "kill" =>
      context.stop(child); lastSender = sender()
    case Terminated(`child`) => lastSender ! "finished"

It should be noted that the Terminated message is generated independent of the order in which registration and termination occur. In particular, the watching actor will receive a Terminated message even if the watched actor has already been terminated at the time of registration.

Registering multiple times does not necessarily lead to multiple messages being generated, but there is no guarantee that only exactly one such message is received: if termination of the watched actor has generated and queued the message, and another registration is done before this message has been processed, then a second message will be queued, because registering for monitoring of an already terminated actor leads to the immediate generation of the Terminated message.

It is also possible to deregister from watching another actor’s liveliness using context.unwatch(target). This works even if the Terminated message has already been enqueued in the mailbox; after calling unwatch no Terminated message for that actor will be processed anymore.

Start Hook

Right after starting the actor, its preStart method is invoked.

override def preStart() {
  child = context.actorOf(Props[MyActor], "child")

This method is called when the actor is first created. During restarts it is called by the default implementation of postRestart, which means that by overriding that method you can choose whether the initialization code in this method is called only exactly once for this actor or for every restart. Initialization code which is part of the actor’s constructor will always be called when an instance of the actor class is created, which happens at every restart.

Restart Hooks

All actors are supervised, i.e. linked to another actor with a fault handling strategy. Actors may be restarted in case an exception is thrown while processing a message (see Supervision and Monitoring). This restart involves the hooks mentioned above:

  1. The old actor is informed by calling preRestart with the exception which caused the restart and the message which triggered that exception; the latter may be None if the restart was not caused by processing a message, e.g. when a supervisor does not trap the exception and is restarted in turn by its supervisor, or if an actor is restarted due to a sibling’s failure. If the message is available, then that message’s sender is also accessible in the usual way (i.e. by calling sender).

    This method is the best place for cleaning up, preparing hand-over to the fresh actor instance, etc. By default it stops all children and calls postStop.

  2. The initial factory from the actorOf call is used to produce the fresh instance.

  3. The new actor’s postRestart method is invoked with the exception which caused the restart. By default the preStart is called, just as in the normal start-up case.

An actor restart replaces only the actual actor object; the contents of the mailbox is unaffected by the restart, so processing of messages will resume after the postRestart hook returns. The message that triggered the exception will not be received again. Any message sent to an actor while it is being restarted will be queued to its mailbox as usual.


Be aware that the ordering of failure notifications relative to user messages is not deterministic. In particular, a parent might restart its child before it has processed the last messages sent by the child before the failure. See Discussion: Message Ordering for details.

Stop Hook

After stopping an actor, its postStop hook is called, which may be used e.g. for deregistering this actor from other services. This hook is guaranteed to run after message queuing has been disabled for this actor, i.e. messages sent to a stopped actor will be redirected to the deadLetters of the ActorSystem.

Identifying Actors via Actor Selection

As described in Actor References, Paths and Addresses, each actor has a unique logical path, which is obtained by following the chain of actors from child to parent until reaching the root of the actor system, and it has a physical path, which may differ if the supervision chain includes any remote supervisors. These paths are used by the system to look up actors, e.g. when a remote message is received and the recipient is searched, but they are also useful more directly: actors may look up other actors by specifying absolute or relative paths—logical or physical—and receive back an ActorSelection with the result:

// will look up this absolute path
// will look up sibling beneath same supervisor


It is always preferable to communicate with other Actors using their ActorRef instead of relying upon ActorSelection. Exceptions are

In all other cases ActorRefs can be provided during Actor creation or initialization, passing them from parent to child or introducing Actors by sending their ActorRefs to other Actors within messages.

The supplied path is parsed as a, which basically means that it is split on / into path elements. If the path starts with /, it is absolute and the look-up starts at the root guardian (which is the parent of "/user"); otherwise it starts at the current actor. If a path element equals .., the look-up will take a step “up” towards the supervisor of the currently traversed actor, otherwise it will step “down” to the named child. It should be noted that the .. in actor paths here always means the logical structure, i.e. the supervisor.

The path elements of an actor selection may contain wildcard patterns allowing for broadcasting of messages to that section:

// will look all children to serviceB with names starting with worker
// will look up all siblings beneath same supervisor

Messages can be sent via the ActorSelection and the path of the ActorSelection is looked up when delivering each message. If the selection does not match any actors the message will be dropped.

To acquire an ActorRef for an ActorSelection you need to send a message to the selection and use the sender() reference of the reply from the actor. There is a built-in Identify message that all Actors will understand and automatically reply to with a ActorIdentity message containing the ActorRef. This message is handled specially by the actors which are traversed in the sense that if a concrete name lookup fails (i.e. a non-wildcard path element does not correspond to a live actor) then a negative result is generated. Please note that this does not mean that delivery of that reply is guaranteed, it still is a normal message.

import{ Actor, Props, Identify, ActorIdentity, Terminated }

class Follower extends Actor {
  val identifyId = 1
  context.actorSelection("/user/another") ! Identify(identifyId)

  def receive = {
    case ActorIdentity(`identifyId`, Some(ref)) =>
    case ActorIdentity(`identifyId`, None) => context.stop(self)


  def active(another: ActorRef): Actor.Receive = {
    case Terminated(`another`) => context.stop(self)

You can also acquire an ActorRef for an ActorSelection with the resolveOne method of the ActorSelection. It returns a Future of the matching ActorRef if such an actor exists. It is completed with failure [[]] if no such actor exists or the identification didn't complete within the supplied timeout.

Remote actor addresses may also be looked up, if remoting is enabled:


An example demonstrating actor look-up is given in Remoting Sample.

Messages and immutability

IMPORTANT: Messages can be any kind of object but have to be immutable. Scala can’t enforce immutability (yet) so this has to be by convention. Primitives like String, Int, Boolean are always immutable. Apart from these the recommended approach is to use Scala case classes which are immutable (if you don’t explicitly expose the state) and works great with pattern matching at the receiver side.

Here is an example:

// define the case class
case class Register(user: User)

// create a new case class message
val message = Register(user)

Send messages

Messages are sent to an Actor through one of the following methods.

  • ! means “fire-and-forget”, e.g. send a message asynchronously and return immediately. Also known as tell.
  • ? sends a message asynchronously and returns a Future representing a possible reply. Also known as ask.

Message ordering is guaranteed on a per-sender basis.


There are performance implications of using ask since something needs to keep track of when it times out, there needs to be something that bridges a Promise into an ActorRef and it also needs to be reachable through remoting. So always prefer tell for performance, and only ask if you must.

Tell: Fire-forget

This is the preferred way of sending messages. No blocking waiting for a message. This gives the best concurrency and scalability characteristics.

actorRef ! message

If invoked from within an Actor, then the sending actor reference will be implicitly passed along with the message and available to the receiving Actor in its sender(): ActorRef member method. The target actor can use this to reply to the original sender, by using sender() ! replyMsg.

If invoked from an instance that is not an Actor the sender will be deadLetters actor reference by default.

Ask: Send-And-Receive-Future

The ask pattern involves actors as well as futures, hence it is offered as a use pattern rather than a method on ActorRef:

import akka.pattern.{ ask, pipe }
import system.dispatcher // The ExecutionContext that will be used
final case class Result(x: Int, s: String, d: Double)
case object Request

implicit val timeout = Timeout(5 seconds) // needed for `?` below

val f: Future[Result] =
  for {
    x <- ask(actorA, Request).mapTo[Int] // call pattern directly
    s <- (actorB ask Request).mapTo[String] // call by implicit conversion
    d <- (actorC ? Request).mapTo[Double] // call by symbolic name
  } yield Result(x, s, d)

f pipeTo actorD // .. or ..
pipe(f) to actorD

This example demonstrates ask together with the pipeTo pattern on futures, because this is likely to be a common combination. Please note that all of the above is completely non-blocking and asynchronous: ask produces a Future, three of which are composed into a new future using the for-comprehension and then pipeTo installs an onComplete-handler on the future to affect the submission of the aggregated Result to another actor.

Using ask will send a message to the receiving Actor as with tell, and the receiving actor must reply with sender() ! reply in order to complete the returned Future with a value. The ask operation involves creating an internal actor for handling this reply, which needs to have a timeout after which it is destroyed in order not to leak resources; see more below.


To complete the future with an exception you need send a Failure message to the sender. This is not done automatically when an actor throws an exception while processing a message.

try {
  val result = operation()
  sender() ! result
} catch {
  case e: Exception =>
    sender() !
    throw e

If the actor does not complete the future, it will expire after the timeout period, completing it with an AskTimeoutException. The timeout is taken from one of the following locations in order of precedence:

  1. explicitly given timeout as in:
import scala.concurrent.duration._
import akka.pattern.ask
val future = myActor.ask("hello")(5 seconds)
  1. implicit argument of type akka.util.Timeout, e.g.
import scala.concurrent.duration._
import akka.util.Timeout
import akka.pattern.ask
implicit val timeout = Timeout(5 seconds)
val future = myActor ? "hello"

See Futures for more information on how to await or query a future.

The onComplete, onSuccess, or onFailure methods of the Future can be used to register a callback to get a notification when the Future completes, giving you a way to avoid blocking.


When using future callbacks, such as onComplete, onSuccess, and onFailure, inside actors you need to carefully avoid closing over the containing actor’s reference, i.e. do not call methods or access mutable state on the enclosing actor from within the callback. This would break the actor encapsulation and may introduce synchronization bugs and race conditions because the callback will be scheduled concurrently to the enclosing actor. Unfortunately there is not yet a way to detect these illegal accesses at compile time. See also: Actors and shared mutable state

Forward message

You can forward a message from one actor to another. This means that the original sender address/reference is maintained even though the message is going through a 'mediator'. This can be useful when writing actors that work as routers, load-balancers, replicators etc.

target forward message

Receive messages

An Actor has to implement the receive method to receive messages:

type Receive = PartialFunction[Any, Unit]

def receive: Actor.Receive

This method returns a PartialFunction, e.g. a ‘match/case’ clause in which the message can be matched against the different case clauses using Scala pattern matching. Here is an example:

import akka.event.Logging

class MyActor extends Actor {
  val log = Logging(context.system, this)

  def receive = {
    case "test" =>"received test")
    case _      =>"received unknown message")

Reply to messages

If you want to have a handle for replying to a message, you can use sender(), which gives you an ActorRef. You can reply by sending to that ActorRef with sender() ! replyMsg. You can also store the ActorRef for replying later, or passing on to other actors. If there is no sender (a message was sent without an actor or future context) then the sender defaults to a 'dead-letter' actor ref.

case request =>
  val result = process(request)
  sender() ! result       // will have dead-letter actor as default

Receive timeout

The ActorContext setReceiveTimeout defines the inactivity timeout after which the sending of a ReceiveTimeout message is triggered. When specified, the receive function should be able to handle an message. 1 millisecond is the minimum supported timeout.

Please note that the receive timeout might fire and enqueue the ReceiveTimeout message right after another message was enqueued; hence it is not guaranteed that upon reception of the receive timeout there must have been an idle period beforehand as configured via this method.

Once set, the receive timeout stays in effect (i.e. continues firing repeatedly after inactivity periods). Pass in Duration.Undefined to switch off this feature.

import scala.concurrent.duration._
class MyActor extends Actor {
  // To set an initial delay
  context.setReceiveTimeout(30 milliseconds)
  def receive = {
    case "Hello" =>
      // To set in a response to a message
      context.setReceiveTimeout(100 milliseconds)
    case ReceiveTimeout =>
      // To turn it off
      throw new RuntimeException("Receive timed out")

Messages marked with NotInfluenceReceiveTimeout will not reset the timer. This can be useful when ReceiveTimeout should be fired by external inactivity but not influenced by internal activity, e.g. scheduled tick messages.

Stopping actors

Actors are stopped by invoking the stop method of a ActorRefFactory, i.e. ActorContext or ActorSystem. Typically the context is used for stopping the actor itself or child actors and the system for stopping top level actors. The actual termination of the actor is performed asynchronously, i.e. stop may return before the actor is stopped.

class MyActor extends Actor {

  val child: ActorRef = ???

  def receive = {
    case "interrupt-child" =>
      context stop child

    case "done" =>
      context stop self


Processing of the current message, if any, will continue before the actor is stopped, but additional messages in the mailbox will not be processed. By default these messages are sent to the deadLetters of the ActorSystem, but that depends on the mailbox implementation.

Termination of an actor proceeds in two steps: first the actor suspends its mailbox processing and sends a stop command to all its children, then it keeps processing the internal termination notifications from its children until the last one is gone, finally terminating itself (invoking postStop, dumping mailbox, publishing Terminated on the DeathWatch, telling its supervisor). This procedure ensures that actor system sub-trees terminate in an orderly fashion, propagating the stop command to the leaves and collecting their confirmation back to the stopped supervisor. If one of the actors does not respond (i.e. processing a message for extended periods of time and therefore not receiving the stop command), this whole process will be stuck.

Upon ActorSystem.terminate, the system guardian actors will be stopped, and the aforementioned process will ensure proper termination of the whole system.

The postStop hook is invoked after an actor is fully stopped. This enables cleaning up of resources:

override def postStop() {
  // clean up some resources ...


Since stopping an actor is asynchronous, you cannot immediately reuse the name of the child you just stopped; this will result in an InvalidActorNameException. Instead, watch the terminating actor and create its replacement in response to the Terminated message which will eventually arrive.


You can also send an actor the message, which will stop the actor when the message is processed. PoisonPill is enqueued as ordinary messages and will be handled after messages that were already queued in the mailbox.

Graceful Stop

gracefulStop is useful if you need to wait for termination or compose ordered termination of several actors:

import akka.pattern.gracefulStop
import scala.concurrent.Await

try {
  val stopped: Future[Boolean] = gracefulStop(actorRef, 5 seconds, Manager.Shutdown)
  Await.result(stopped, 6 seconds)
  // the actor has been stopped
} catch {
  // the actor wasn't stopped within 5 seconds
  case e: akka.pattern.AskTimeoutException =>
object Manager {
  case object Shutdown

class Manager extends Actor {
  import Manager._
  val worker =[Cruncher], "worker"))

  def receive = {
    case "job" => worker ! "crunch"
    case Shutdown =>
      worker ! PoisonPill
      context become shuttingDown

  def shuttingDown: Receive = {
    case "job" => sender() ! "service unavailable, shutting down"
    case Terminated(`worker`) =>
      context stop self

When gracefulStop() returns successfully, the actor’s postStop() hook will have been executed: there exists a happens-before edge between the end of postStop() and the return of gracefulStop().

In the above example a custom Manager.Shutdown message is sent to the target actor to initiate the process of stopping the actor. You can use PoisonPill for this, but then you have limited possibilities to perform interactions with other actors before stopping the target actor. Simple cleanup tasks can be handled in postStop.


Keep in mind that an actor stopping and its name being deregistered are separate events which happen asynchronously from each other. Therefore it may be that you will find the name still in use after gracefulStop() returned. In order to guarantee proper deregistration, only reuse names from within a supervisor you control and only in response to a Terminated message, i.e. not for top-level actors.

Coordinated Shutdown

There is an extension named CoordinatedShutdown that will stop certain actors and services in a specific order and perform registered tasks during the shutdown process.

The order of the shutdown phases is defined in configuration akka.coordinated-shutdown.phases. The default phases are defined as:

# CoordinatedShutdown will run the tasks that are added to these
# phases. The phases can be ordered as a DAG by defining the 
# dependencies between the phases.  
# Each phase is defined as a named config section with the
# following optional properties:
# - timeout=15s: Override the default-phase-timeout for this phase.
# - recover=off: If the phase fails the shutdown is aborted
#                and depending phases will not be executed.
# depends-on=[]: Run the phase after the given phases
phases {

  # The first pre-defined phase that applications can add tasks to.
  # Note that more phases can be be added in the application's
  # configuration by overriding this phase with an additional 
  # depends-on.
  before-service-unbind {

  # Stop accepting new incoming requests in for example HTTP.
  service-unbind {
    depends-on = [before-service-unbind]
  # Wait for requests that are in progress to be completed.
  service-requests-done {
    depends-on = [service-unbind]
  # Final shutdown of service endpoints.
  service-stop {
    depends-on = [service-requests-done]
  # Phase for custom application tasks that are to be run
  # after service shutdown and before cluster shutdown.
  before-cluster-shutdown {
    depends-on = [service-stop]
  # Graceful shutdown of the Cluster Sharding regions.
  cluster-sharding-shutdown-region {
    timeout = 10 s
    depends-on = [before-cluster-shutdown]
  # Emit the leave command for the node that is shutting down.
  cluster-leave {
    depends-on = [cluster-sharding-shutdown-region]
  # Shutdown cluster singletons
  cluster-exiting {
    timeout = 10 s
    depends-on = [cluster-leave]
  # Wait until exiting has been completed
  cluster-exiting-done {
    depends-on = [cluster-exiting]
  # Shutdown the cluster extension
  cluster-shutdown {
    depends-on = [cluster-exiting-done]
  # Phase for custom application tasks that are to be run
  # after cluster shutdown and before ActorSystem termination.
  before-actor-system-terminate {
    depends-on = [cluster-shutdown]
  # Last phase. See terminate-actor-system and exit-jvm above.
  # Don't add phases that depends on this phase because the 
  # dispatcher and scheduler of the ActorSystem have been shutdown. 
  actor-system-terminate {
    timeout = 10 s
    depends-on = [before-actor-system-terminate]

More phases can be be added in the application's configuration if needed by overriding a phase with an additional depends-on. Especially the phases before-service-unbind, before-cluster-shutdown and before-actor-system-terminate are intended for application specific phases or tasks.

The default phases are defined in a single linear order, but the phases can be ordered as a directed acyclic graph (DAG) by defining the dependencies between the phases. The phases are ordered with topological sort of the DAG.

Tasks can be added to a phase with:

  CoordinatedShutdown.PhaseBeforeServiceUnbind, "someTaskName") { () =>
  import akka.pattern.ask
  import system.dispatcher
  implicit val timeout = Timeout(5.seconds)
  (someActor ? "stop").map(_ => Done)

The returned Future[Done] should be completed when the task is completed. The task name parameter is only used for debugging/logging.

Tasks added to the same phase are executed in parallel without any ordering assumptions. Next phase will not start until all tasks of previous phase have been completed.

If tasks are not completed within a configured timeout (see reference.conf) the next phase will be started anyway. It is possible to configure recover=off for a phase to abort the rest of the shutdown process if a task fails or is not completed within the timeout.

Tasks should typically be registered as early as possible after system startup. When running the coordinated shutdown tasks that have been registered will be performed but tasks that are added too late will not be run.

To start the coordinated shutdown process you can invoke run on the CoordinatedShutdown extension:

val done: Future[Done] = CoordinatedShutdown(system).run()

It's safe to call the run method multiple times. It will only run once.

That also means that the ActorSystem will be terminated in the last phase. By default, the JVM is not forcefully stopped (it will be stopped if all non-daemon threads have been terminated). To enable a hard System.exit as a final action you can configure:

akka.coordinated-shutdown.exit-jvm = on

When using Akka Cluster the CoordinatedShutdown will automatically run when the cluster node sees itself as Exiting, i.e. leaving from another node will trigger the shutdown process on the leaving node. Tasks for graceful leaving of cluster including graceful shutdown of Cluster Singletons and Cluster Sharding are added automatically when Akka Cluster is used, i.e. running the shutdown process will also trigger the graceful leaving if it's not already in progress.

By default, the CoordinatedShutdown will be run when the JVM process exits, e.g. via kill SIGTERM signal (SIGINT ctrl-c doesn't work). This behavior can be disabled with:

If you have application specific JVM shutdown hooks it's recommended that you register them via the CoordinatedShutdown so that they are running before Akka internal shutdown hooks, e.g. those shutting down Akka Remoting (Artery).

CoordinatedShutdown(system).addJvmShutdownHook {
  println("custom JVM shutdown hook...")

For some tests it might be undesired to terminate the ActorSystem via CoordinatedShutdown. You can disable that by adding the following to the configuration of the ActorSystem that is used in the test:

# Don't terminate ActorSystem via CoordinatedShutdown in tests
akka.coordinated-shutdown.terminate-actor-system = off = off = off



Akka supports hotswapping the Actor’s message loop (e.g. its implementation) at runtime: invoke the context.become method from within the Actor. become takes a PartialFunction[Any, Unit] that implements the new message handler. The hotswapped code is kept in a Stack which can be pushed and popped.


Please note that the actor will revert to its original behavior when restarted by its Supervisor.

To hotswap the Actor behavior using become:

class HotSwapActor extends Actor {
  import context._
  def angry: Receive = {
    case "foo" => sender() ! "I am already angry?"
    case "bar" => become(happy)

  def happy: Receive = {
    case "bar" => sender() ! "I am already happy :-)"
    case "foo" => become(angry)

  def receive = {
    case "foo" => become(angry)
    case "bar" => become(happy)

This variant of the become method is useful for many different things, such as to implement a Finite State Machine (FSM, for an example see Dining Hakkers). It will replace the current behavior (i.e. the top of the behavior stack), which means that you do not use unbecome, instead always the next behavior is explicitly installed.

The other way of using become does not replace but add to the top of the behavior stack. In this case care must be taken to ensure that the number of “pop” operations (i.e. unbecome) matches the number of “push” ones in the long run, otherwise this amounts to a memory leak (which is why this behavior is not the default).

case object Swap
class Swapper extends Actor {
  import context._
  val log = Logging(system, this)

  def receive = {
    case Swap =>"Hi")
        case Swap =>
          unbecome() // resets the latest 'become' (just for fun)
      }, discardOld = false) // push on top instead of replace

object SwapperApp extends App {
  val system = ActorSystem("SwapperSystem")
  val swap = system.actorOf(Props[Swapper], name = "swapper")
  swap ! Swap // logs Hi
  swap ! Swap // logs Ho
  swap ! Swap // logs Hi
  swap ! Swap // logs Ho
  swap ! Swap // logs Hi
  swap ! Swap // logs Ho

Encoding Scala Actors nested receives without accidentally leaking memory

See this Unnested receive example.


The Stash trait enables an actor to temporarily stash away messages that can not or should not be handled using the actor's current behavior. Upon changing the actor's message handler, i.e., right before invoking context.become or context.unbecome, all stashed messages can be "unstashed", thereby prepending them to the actor's mailbox. This way, the stashed messages can be processed in the same order as they have been received originally.


The trait Stash extends the marker trait RequiresMessageQueue[DequeBasedMessageQueueSemantics] which requests the system to automatically choose a deque based mailbox implementation for the actor. If you want more control over the mailbox, see the documentation on mailboxes: Mailboxes.

Here is an example of the Stash in action:

class ActorWithProtocol extends Actor with Stash {
  def receive = {
    case "open" =>
        case "write" => // do writing...
        case "close" =>
        case msg => stash()
      }, discardOld = false) // stack on top instead of replacing
    case msg => stash()

Invoking stash() adds the current message (the message that the actor received last) to the actor's stash. It is typically invoked when handling the default case in the actor's message handler to stash messages that aren't handled by the other cases. It is illegal to stash the same message twice; to do so results in an IllegalStateException being thrown. The stash may also be bounded in which case invoking stash() may lead to a capacity violation, which results in a StashOverflowException. The capacity of the stash can be configured using the stash-capacity setting (an Int) of the mailbox's configuration.

Invoking unstashAll() enqueues messages from the stash to the actor's mailbox until the capacity of the mailbox (if any) has been reached (note that messages from the stash are prepended to the mailbox). In case a bounded mailbox overflows, a MessageQueueAppendFailedException is thrown. The stash is guaranteed to be empty after calling unstashAll().

The stash is backed by a scala.collection.immutable.Vector. As a result, even a very large number of messages may be stashed without a major impact on performance.


Note that the Stash trait must be mixed into (a subclass of) the Actor trait before any trait/class that overrides the preRestart callback. This means it's not possible to write Actor with MyActor with Stash if MyActor overrides preRestart.

Note that the stash is part of the ephemeral actor state, unlike the mailbox. Therefore, it should be managed like other parts of the actor's state which have the same property. The Stash trait’s implementation of preRestart will call unstashAll(), which is usually the desired behavior.


If you want to enforce that your actor can only work with an unbounded stash, then you should use the UnboundedStash trait instead.

Killing an Actor

You can kill an actor by sending a Kill message. This will cause the actor to throw a ActorKilledException, triggering a failure. The actor will suspend operation and its supervisor will be asked how to handle the failure, which may mean resuming the actor, restarting it or terminating it completely. See What Supervision Means for more information.

Use Kill like this:

// kill the 'victim' actor
victim ! Kill

Actors and exceptions

It can happen that while a message is being processed by an actor, that some kind of exception is thrown, e.g. a database exception.

What happens to the Message

If an exception is thrown while a message is being processed (i.e. taken out of its mailbox and handed over to the current behavior), then this message will be lost. It is important to understand that it is not put back on the mailbox. So if you want to retry processing of a message, you need to deal with it yourself by catching the exception and retry your flow. Make sure that you put a bound on the number of retries since you don't want a system to livelock (so consuming a lot of cpu cycles without making progress). Another possibility would be to have a look at the PeekMailbox pattern.

What happens to the mailbox

If an exception is thrown while a message is being processed, nothing happens to the mailbox. If the actor is restarted, the same mailbox will be there. So all messages on that mailbox will be there as well.

What happens to the actor

If code within an actor throws an exception, that actor is suspended and the supervision process is started (see Supervision and Monitoring). Depending on the supervisor’s decision the actor is resumed (as if nothing happened), restarted (wiping out its internal state and starting from scratch) or terminated.

Extending Actors using PartialFunction chaining

Sometimes it can be useful to share common behavior among a few actors, or compose one actor's behavior from multiple smaller functions. This is possible because an actor's receive method returns an Actor.Receive, which is a type alias for PartialFunction[Any,Unit], and partial functions can be chained together using the PartialFunction#orElse method. You can chain as many functions as you need, however you should keep in mind that "first match" wins - which may be important when combining functions that both can handle the same type of message.

For example, imagine you have a set of actors which are either Producers or Consumers, yet sometimes it makes sense to have an actor share both behaviors. This can be easily achieved without having to duplicate code by extracting the behaviors to traits and implementing the actor's receive as combination of these partial functions.

trait ProducerBehavior {
  this: Actor =>

  val producerBehavior: Receive = {
    case GiveMeThings =>
      sender() ! Give("thing")

trait ConsumerBehavior {
  this: Actor with ActorLogging =>

  val consumerBehavior: Receive = {
    case ref: ActorRef =>
      ref ! GiveMeThings

    case Give(thing) =>"Got a thing! It's {}", thing)

class Producer extends Actor with ProducerBehavior {
  def receive = producerBehavior

class Consumer extends Actor with ActorLogging with ConsumerBehavior {
  def receive = consumerBehavior

class ProducerConsumer extends Actor with ActorLogging
  with ProducerBehavior with ConsumerBehavior {

  def receive = producerBehavior.orElse[Any, Unit](consumerBehavior)

// protocol
case object GiveMeThings
final case class Give(thing: Any)

Instead of inheritance the same pattern can be applied via composition - one would simply compose the receive method using partial functions from delegates.

Initialization patterns

The rich lifecycle hooks of Actors provide a useful toolkit to implement various initialization patterns. During the lifetime of an ActorRef, an actor can potentially go through several restarts, where the old instance is replaced by a fresh one, invisibly to the outside observer who only sees the ActorRef.

One may think about the new instances as "incarnations". Initialization might be necessary for every incarnation of an actor, but sometimes one needs initialization to happen only at the birth of the first instance when the ActorRef is created. The following sections provide patterns for different initialization needs.

Initialization via constructor

Using the constructor for initialization has various benefits. First of all, it makes it possible to use val fields to store any state that does not change during the life of the actor instance, making the implementation of the actor more robust. The constructor is invoked for every incarnation of the actor, therefore the internals of the actor can always assume that proper initialization happened. This is also the drawback of this approach, as there are cases when one would like to avoid reinitializing internals on restart. For example, it is often useful to preserve child actors across restarts. The following section provides a pattern for this case.

Initialization via preStart

The method preStart() of an actor is only called once directly during the initialization of the first instance, that is, at creation of its ActorRef. In the case of restarts, preStart() is called from postRestart(), therefore if not overridden, preStart() is called on every incarnation. However, by overriding postRestart() one can disable this behavior, and ensure that there is only one call to preStart().

One useful usage of this pattern is to disable creation of new ActorRefs for children during restarts. This can be achieved by overriding preRestart():

override def preStart(): Unit = {
  // Initialize children here

// Overriding postRestart to disable the call to preStart()
// after restarts
override def postRestart(reason: Throwable): Unit = ()

// The default implementation of preRestart() stops all the children
// of the actor. To opt-out from stopping the children, we
// have to override preRestart()
override def preRestart(reason: Throwable, message: Option[Any]): Unit = {
  // Keep the call to postStop(), but no stopping of children

Please note, that the child actors are still restarted, but no new ActorRef is created. One can recursively apply the same principles for the children, ensuring that their preStart() method is called only at the creation of their refs.

For more information see What Restarting Means.

Initialization via message passing

There are cases when it is impossible to pass all the information needed for actor initialization in the constructor, for example in the presence of circular dependencies. In this case the actor should listen for an initialization message, and use become() or a finite state-machine state transition to encode the initialized and uninitialized states of the actor.

var initializeMe: Option[String] = None

override def receive = {
  case "init" =>
    initializeMe = Some("Up and running")
    context.become(initialized, discardOld = true)


def initialized: Receive = {
  case "U OK?" => initializeMe foreach { sender() ! _ }

If the actor may receive messages before it has been initialized, a useful tool can be the Stash to save messages until the initialization finishes, and replaying them after the actor became initialized.


This pattern should be used with care, and applied only when none of the patterns above are applicable. One of the potential issues is that messages might be lost when sent to remote actors. Also, publishing an ActorRef in an uninitialized state might lead to the condition that it receives a user message before the initialization has been done.