PersistentActor cannot invoke persist handler in Future onComplete - scala

I am pretty new using PersistentActor ,
when I try to call updateState from a future onComplete, fails , nothing happanes , tried to debug it and I do get to the persist call but not into the updateState
trait Event
case class Cmd(data: String)
case class Evt(data: String) extends Event
class BarActor extends PersistentActor{
implicit val system = context.system
implicit val executionContext = system.dispatcher
def updateState(event: Evt): Unit ={
println("Updating state")
state = state.updated(event)
sender() ! state
}
def timeout(implicit ec: ExecutionContext) =
akka.pattern.after(duration = 2 seconds, using = system.scheduler)(Future.failed(new TimeoutException("Got timed out!")))
val receiveCommand: Receive = {
case Cmd(data) =>
def anotherFuture(i: Int)(implicit system: ActorSystem) = {
val realF = Future {
i % 2 match {
case 0 =>
Thread.sleep(100)
case _ =>
Thread.sleep(500)
}
i
}
Future.firstCompletedOf(Seq(realF, timeout))
.recover {
case _ => -1
}
}
val res = (1 to 10).map(anotherFuture(_))
val list = Future.sequence(res)
list.onComplete{
case _ =>
persist(Evt("testing"))(updateState)
}
}
}

You could try this:
list.onComplete {
case _ => self ! Evt("testing")
}
And add this to receiveCommand
case evt: Evt =>
persist(Evt("testing"))(updateStates)

Related

How to process Akka stream based on some condition?

Suppose there is a stream of some files to be processed and only a specific file should be processed(consumed) when a condition is met.
i.e. Only if the stream contains a file named "aaa", process a file named "bbb"
SomeFile(name: String)
What would be the correct(recommended) way to do this?
Okay, here's an example. Be careful about building up too big a buffer here before the trigger hits
class FileFinder {
def matchFiles(triggerName: String,
matchName: String): Flow[SomeFile, SomeFile, NotUsed] =
Flow[SomeFile].statefulMapConcat(
statefulMatcher(matches(triggerName), matches(matchName)))
private def matches(matchName: String): SomeFile => Boolean = {
case SomeFile(name) if name == matchName => true
case _ => false
}
private def statefulMatcher(
triggerFilter: => SomeFile => Boolean,
sendFilter: SomeFile => Boolean): () => SomeFile => List[SomeFile] = {
var found = false
var sendFiles: List[SomeFile] = Nil
() => file: SomeFile =>
{
file match {
case f if triggerFilter(f) =>
found = true
val send = sendFiles
sendFiles = Nil
send
case f if sendFilter(f) =>
if (found)
List(f)
else {
sendFiles = f :: sendFiles
Nil
}
case _ => Nil
}
}
}
}
object FileFinder extends FileFinder {
def main(args: Array[String]): Unit = {
implicit val system: ActorSystem = ActorSystem("finder")
implicit val materializer: ActorMaterializer = ActorMaterializer()
implicit val executor: ExecutionContextExecutor =
materializer.executionContext
implicit val loggingAdapter: LoggingAdapter = system.log
val files = List(SomeFile("aaa"), SomeFile("bbb"), SomeFile("aaa"))
Source(files)
.via(matchFiles("bbb", "aaa"))
.runForeach(println(_))
.andThen({
case Success(_) =>
println("Success")
system.terminate()
case Failure(ex) =>
loggingAdapter.error("Shouldn't happen...", ex)
system.terminate()
})
}
}
case class SomeFile(name: String)

Scala Akka actors, ask pattern, dead letters encountered while sending reply

I am trying to send a request to remote actor using ask pattern. The local actor recieves some value and it performs some task on it and updates it.
Then when local actor try to send back the updated value to remote actor , error occurs while sending. How should i handle this error?
Error:
[INFO] [03/31/2017 17:28:18.383] [ClientSystem-akka.actor.default-dispatcher-3] [akka://ClientSystem/deadLetters]
Message [check.package$Rcvdcxt] from Actor[akka://ClientSystem/user/localA1#1050660737] to Actor[akka://ClientSystem/deadLetters] was not delivered.
[1] dead letters encountered.
Remote Actor:
class RemoteActor() extends Actor {
def receive = {
case TaskFromLocal() =>{
implicit val timeout: Timeout = 15000
val currentSender = sender
val f1 = currentSender ? RemoteActor.rtree.cxtA
f1.onComplete{
case Success(Rcvdcxt(cxtA))=>
println("Success"+cxtA)
case Success(s) =>
println("Success :"+s)
case Failure(ex) =>
println("failure:"+ex)
}
}
case _ => println("unknown msg")
}
}
object RemoteActor{
def createRndCxtC(count: Int):List[CxtC] = (for (i <- 1 to count) yield CxtC(Random.nextString(5), Random.nextInt())).toList
def createRndCxtB(count: Int): List[CxtB] = (for (i <- 1 to count) yield CxtB(createRndCxtC(count), Random.nextInt())).toList
def createRndCxtA(count: Int): List[CxtA] = (for (i <- 1 to count) yield CxtA(createRndCxtC(count), 5)).toList
var rtree = RCxt(createRndCxtA(1),createRndCxtB(2),1,"")
def main(args: Array[String]) {
val configFile = getClass.getClassLoader.getResource("remote_application.conf").getFile
val config = ConfigFactory.parseFile(new File(configFile))
val system = ActorSystem("RemoteSystem" , config)
val remoteActor = system.actorOf(Props[RemoteActor], name="remote")
println("remote is ready")
}
}
Local Actor :
class LocalActorA extends Actor{
#throws[Exception](classOf[Exception])
val remoteActor = context.actorSelection("akka.tcp://RemoteSystem#127.0.0.1:5150/user/remote")
def receive = {
case TaskLA1(taskA) => {
implicit val timeout: Timeout = 15000
val rCxt = remoteActor ? TaskFromLocal()
val currentSender = sender
rCxt.onComplete{
case Success(Rcvdcxt(cxtA))=>
println("Success"+cxtA)
println("Sender: "+ sender)
currentSender ! Rcvdcxt(cxtA)
case Success(s)=>
println("Got nothing from Remote"+s)
currentSender ! "Failuree"
case Failure(ex) =>
println("Failure in getting remote")
currentSender ! "Failure"
}
}
}
}
object LocalActorA {
def createRndCxtC(count: Int):List[CxtC] = (for (i <- 1 to count) yield CxtC(Random.nextString(5), Random.nextInt())).toList
def createRndCxtB(count: Int): List[CxtB] = (for (i <- 1 to count) yield CxtB(createRndCxtC(count), Random.nextInt())).toList
def createRndCxtA(count: Int): List[CxtA] = (for (i <- 1 to count) yield CxtA(createRndCxtC(count), 3)).toList
var tree = RCxt(createRndCxtA(2),createRndCxtB(2),1,"")
def main(args: Array[String]) {
val configFile = getClass.getClassLoader.getResource("local_application.conf").getFile
val config = ConfigFactory.parseFile(new File(configFile))
val system = ActorSystem("ClientSystem",config)
val localActorA1 = system.actorOf(Props[LocalActorA], name="localA1")
println("LocalActor A tree : "+tree)
localActorA1 ! TaskLA1(new DummySum())
}
}
Since you didn't post all the code I can't really tell exactly the error, but my best guess is related to the fact that you are calling sender in the onComplete in the LocalActor. This is unsafe and should be avoided at all costs. Instead, do something similar with the remote actor:
class LocalActor {
def receive = {
case TaskLA1(taskA) =>
val currentSender = sender
rCxt.onComplete {
case Success(Rcvdcxt(cxtA))=>
currentSender ! Rcvdcxt(cxtA)
...
}
}
}

Akka consolidate concurrent database requests

I want to be able to make concurrent requests to multiple data repositories and consolidate the results. I am trying to understand if my approach is at all valid or if there is a better way to approach this problem. I am definitely new to Akka / Spray / Scala and really want to get a better understanding of how to properly build these components. Any suggestions / Tips would be greatly appreciated. Trying to wrap my head around the use of actors and futures for this type of implementation.
Spray Service:
trait DemoService extends HttpService with Actor with ActorLogging {
implicit val timeout = Timeout(5 seconds) // needed for `?` below
val mongoMasterActor = context.actorOf(Props[MongoMasterActor], "redisactor")
val dbMaster = context.actorOf(Props[DbMasterActor], "dbactor")
val messageApiRouting =
path("summary" / Segment / Segment) { (dataset, timeslice) =>
onComplete(getDbResponses(dbMaster, dataset, timeslice)) {
case Success(dbMessageResponse) => complete(s"The result was $dbMessageResponse")
case Failure(ex) => complete(s"An error occurred: ${ex.getMessage}")
}
}
/** Passes the desired actor reference for a specific dataset and timeslice for summary data retrieval
*
* #param mongoActor an actor reference to the RedisActor that will handle the appropriate request routing
* #param dataset The dataset for which the summary has been requested
* #param timeslice The timeslice (Month, Week, Day, etc.) for which the summary has been requested
*/
def getSummary(mongoActor: ActorRef, dataset: String, timeslice: String): Future[DbMessageResponse] = {
log.debug(s"dataset: $dataset timeslice: $timeslice")
val dbMessage = DbMessage("summary", dataset + timeslice)
(mongoActor ? dbMessage).mapTo[DbMessageResponse]
}
def getDbResponses(dbActor: ActorRef, dataset: String, timeslice: String): Future[SummaryResponse] = {
log.debug(s"dataset: $dataset timeslice: $timeslice")
val dbMessage = DbMessage("summary", dataset + timeslice)
(dbActor ? dbMessage).mapTo[SummaryResponse]
}
def getSummaryPayload(mongoSummary: DbMessageResponse, redisSummary: DbMessageResponse): String = {
mongoSummary.response + redisSummary.response
}
}
Akka Actor / Future mock db requests:
class DbMasterActor extends Actor with ActorLogging {
private var originalSender: ActorRef = _
//TODO: Need to add routing to the config to limit instances
val summaryActor = context.actorOf(Props(new SummaryActor), "summaryactor")
def receive = {
case msg: DbMessage => {
this.originalSender = sender
msg.query match {
case "summary" => {
getDbResults().onComplete{
case Success(result) => originalSender ! result
case Failure(ex) => log.error(ex.getMessage)
}
}
}
}
//If not match log an error
case _ => log.error("Received unknown message: {} ")
}
def getDbResults(): Future[SummaryResponse] = {
log.debug("hitting db results")
val mongoResult = Future{ Thread.sleep(500); "Mongo"}
val redisResult = Future{ Thread.sleep(800); "redis"}
for{
mResult <- mongoResult
rResult <- redisResult
} yield SummaryResponse(mResult, rResult)
}
}
Following the reading of Effective Akka by Jamie Allen, I am going to attempt to apply his "Cameo" pattern suggestion.
Slideshare:
http://www.slideshare.net/shinolajla/effective-akka-scalaio
Github:
https://github.com/jamie-allen/effective_akka
I think what I created will work, but doesn't sound like the best approach based on Jamie's comments in his talks. I will update / edit back to this post what I have implemented (or try to).
Summary Actor (Cameo Actor):
object SummaryResponseHandler {
case object DbRetrievalTimeout
def props(mongoDb: ActorRef, redisDb: ActorRef, originalSender: ActorRef): Props = {
Props(new SummaryResponseHandler(mongoDb, redisDb, originalSender))
}
}
class SummaryResponseHandler(mongoDb: ActorRef, redisDb: ActorRef,
originalSender: ActorRef) extends Actor with ActorLogging {
import SummaryResponseHandler._
var mongoSummary, redisSummary: Option[String] = None
def receive = LoggingReceive {
case MongoSummary(summary) =>
log.debug(s"Received mongo summary: $summary")
mongoSummary = summary
collectSummaries
case RedisSummary(summary) =>
log.debug(s"Received redis summary: $summary")
redisSummary = summary
collectSummaries
case DbRetrievalTimeout =>
log.debug("Timeout occurred")
sendResponseAndShutdown(DbRetrievalTimeout)
}
def collectSummaries = (mongoSummary, redisSummary) match {
case (Some(m), Some(r)) =>
log.debug(s"Values received for both databases")
timeoutMessager.cancel
sendResponseAndShutdown(DataSetSummary(mongoSummary, redisSummary))
case _ =>
}
def sendResponseAndShutdown(response: Any) = {
originalSender ! response
log.debug("Stopping context capturing actor")
context.stop(self)
}
import context.dispatcher
val timeoutMessager = context.system.scheduler.scheduleOnce(
250 milliseconds, self, DbRetrievalTimeout)
}
class SummaryRetriever(mongoDb: ActorRef, redisDb: ActorRef) extends Actor with ActorLogging {
def receive = {
case GetSummary(dataSet) =>
log.debug("received dataSet")
val originalSender = sender
val handler = context.actorOf(SummaryResponseHandler.props(mongoDb,redisDb, originalSender), "cameo-message-handler")
mongoDb.tell(GetSummary(dataSet), handler)
redisDb.tell(GetSummary(dataSet), handler)
case _ => log.debug(s"Unknown result $GetSummary(datset)")
}
}
Common:
case class GetSummary(dataSet: String)
case class DataSetSummary(
mongo: Option[String],
redis: Option[String]
)
case class MongoSummary(
summary: Option[String]
)
case class RedisSummary(
summary: Option[String]
)
trait MongoProxy extends Actor with ActorLogging
trait RedisProxy extends Actor with ActorLogging
Mock Stubs:
class MongoProxyStub extends RedisProxy {
val summaryData = Map[String, String](
"dataset1" -> "MongoData1",
"dataset2" -> "MongoData2")
def receive = LoggingReceive {
case GetSummary(dataSet: String) =>
log.debug(s"Received GetSummary for ID: $dataSet")
summaryData.get(dataSet) match {
case Some(data) => sender ! MongoSummary(Some(data))
case None => sender ! MongoSummary(Some(""))
}
}
}
class RedisProxyStub extends MongoProxy{
val summaryData = Map[String, String](
"dataset1" -> "RedisData1",
"dataset2" -> "RedisData2")
def receive = LoggingReceive {
case GetSummary(dataSet: String) =>
log.debug(s"Received GetSummary for ID: $dataSet")
summaryData.get(dataSet) match {
case Some(data) => sender ! RedisSummary(Some(data))
case None => sender ! RedisSummary(Some(""))
}
}
}
Boot (You should use test, but was just wanting to run from boot):
object Boot extends App{
val system = ActorSystem("DbSystem")
val redisProxy = system.actorOf(Props[RedisProxyStub], "cameo-success-mongo")
val mongoProxy = system.actorOf(Props[MongoProxyStub], "cameo-success-redis")
val summaryRetrieverActor = system.actorOf(Props(new SummaryRetriever(redisProxy, mongoProxy)), "cameo-retriever1")
implicit val timeout = Timeout(5 seconds)
val future = summaryRetrieverActor ? GetSummary("dataset1")
val result = Await.result(future, timeout.duration).asInstanceOf[DataSetSummary]
println(Some(result.mongo).x)
println(result.redis)
system.shutdown()
}
Application Config:
akka.loglevel = "DEBUG"
akka.event-handlers = ["akka.event.slf4j.Slf4jEventHandler"]
akka.actor.debug.autoreceive = on
akka.actor.debug.lifecycle = on
akka.actor.debug.receive = on
akka.actor.debug.event-stream = on

How to use actor to receive http requests and requests from other actors?

I want TestHttp class to be able to receive http requests or messages from other actors. How can I do it?
Code:
object Main extends App with SimpleRoutingApp {
implicit val system = ActorSystem("system")
import system.dispatcher
implicit val timeout = Timeout(240.seconds)
startServer(interface = "localhost", port = 3000) {
get {
path("register" / IntNumber) { n =>
respondWithMediaType(MediaTypes.`application/json`) { ctx =>
val future = IO(Http) ? Bind(system.actorOf(Props[TestHttp]), interface = "localhost", port = 3000 + n)
future onSuccess {
case Http.Bound(msg) => ctx.complete(s"Ok:"+msg)
case _ => ctx.complete("...")
}
}
} // : Route == RequestContext => Unit
} // : Route
}
}
trait TestHttpService extends HttpService {
val oneRoute = {
path("test") {
complete("test")
}
}
}
class TestHttp extends Actor with TestHttpService {
def actorRefFactory = context
val sealedRoute = sealRoute(oneRoute)
def receive = {
// case HttpRequest(GET, Uri.Path("/ping"), _, _, _) => //not working
// sender ! HttpResponse(entity = "PONG")
case ctx: RequestContext => sealedRoute(ctx) //not working
}
// def receive = runRoute(oneRoute) //it works
}
Actor.Receive is a partial function that takes Any value and returns Unit (PartialFunction[Any, Unit]), so you can do it by regular PF composition.
HttpService.runRoute returns Actor.Receive (see https://github.com/spray/spray/blob/master/spray-routing/src/main/scala/spray/routing/HttpService.scala#L31)
So, your solution would be:
class TestHttp extends Actor with TestHttpService {
def actorRefFactory = context
val sealedRoute = sealRoute(oneRoute)
def receive = {
case s: String => println(s"Just got string $s")
} orElse runRoute(oneRoute)
}

Implement weak-referenced Eventbus actors?

Is it correct to say that unreferenced actors remain subscribed to the event stream ? At least, that's what I get from experimenting with Akka...
I'm trying to implement weak-referencing for actors in an EventBus scenario. In those cases the event listeners/actors typically come and go. Unlike independent actors which are supposed to be present all of the time. Explicit unregistering of course does work. But I'm not always able to perceive the right moment to do this.
Does Akka provide in such a use case ?
val as = ActorSystem.create("weak")
var actor = as.actorOf(Props[ExceptionHandler])
as.eventStream.subscribe(actor,classOf[Exception])
// an event is published & received
as.eventStream.publish(new KnownProblem)
//session expires or whatever that makes the actor redundant
actor = null
(1 to 30).foreach(_ => System.gc)
// an event is published & STILL received
as.eventStream.publish(new KnownProblem)
Okay, I could not actually implement it, but actor is stopping on GC. Using Scala 2.9.2 (REPL) + Akka 2.0.3.
The EventBus with WeakReference[ActorRef] did not help - because in Akka you also have a dungeon with ChildrenContainer (self.children), also there could be Monitor subscriptions to lifecycle events. The thing I did not try - creating actors with dispatcher that only knows about our new shiny WeakEventBus - so maybe I missed the point?
Here goes the code for REPL (start it with appropriate imports, and :paste it in 2 steps):
// Start REPL with something like:
// scala -Yrepl-sync -classpath "/opt/akka-2.0.3/lib/akka/akka-actor-2.0.3.jar:
// /opt/akka-2.0.3/lib/akka/akka-remote-2.0.3.jar:
// /opt/akka-2.0.3/lib/akka/config-0.3.1.jar:
// /opt/akka-2.0.3/lib/akka/protobuf-java-2.4.1.jar:
// /opt/akka-2.0.3/lib/akka/netty-3.5.3.Final.jar"
// :paste 1/2
import akka.actor._
import akka.pattern._
import akka.event._
import akka.util._
import com.typesafe.config.ConfigFactory
import akka.util.Timeout
import akka.dispatch.Await
import scala.ref.WeakReference
import java.util.Comparator
import java.util.concurrent.atomic._
import java.util.UUID
case class Message(val id:String,val timestamp: Long)
case class PostMessage(
override val id:String=UUID.randomUUID().toString(),
override val timestamp: Long=new java.util.Date().getTime(),
text:String) extends Message(id, timestamp)
case class MessageEvent(val channel:String, val message:Message)
case class StartServer(nodeName: String)
case class ServerStarted(nodeName: String, actor: ActorRef)
case class IsAlive(nodeName: String)
case class IsAliveWeak(nodeName: String)
case class AmAlive(nodeName: String, actor: ActorRef)
case class GcCheck()
case class GcCheckScheduled(isScheduled: Boolean,
gcFlag: WeakReference[AnyRef])
trait WeakLookupClassification { this: WeakEventBus ⇒
protected final val subscribers = new Index[Classifier,
WeakReference[Subscriber]](mapSize(),
new Comparator[WeakReference[Subscriber]] {
def compare(a: WeakReference[Subscriber],
b: WeakReference[Subscriber]): Int = {
if (a.get == None || b.get == None) -1
else compareSubscribers(a.get.get, b.get.get)
}
})
protected def mapSize(): Int
protected def compareSubscribers(a: Subscriber, b: Subscriber): Int
protected def classify(event: Event): Classifier
protected def publish(event: Event, subscriber: Subscriber): Unit
def subscribe(subscriber: Subscriber, to: Classifier): Boolean =
subscribers.put(to, new WeakReference(subscriber))
def unsubscribe(subscriber: Subscriber, from: Classifier): Boolean =
subscribers.remove(from, new WeakReference(subscriber))
def unsubscribe(subscriber: Subscriber): Unit =
subscribers.removeValue(new WeakReference(subscriber))
def publish(event: Event): Unit = {
val i = subscribers.valueIterator(classify(event))
while (i.hasNext) publish(event, i.next().get.get)
}
}
class WeakEventBus extends EventBus with WeakLookupClassification {
type Event = MessageEvent
type Classifier=String
type Subscriber = ActorRef
protected def compareSubscribers(a: ActorRef, b: ActorRef) = a compareTo b
protected def mapSize(): Int = 10
protected def classify(event: Event): Classifier = event.channel
protected def publish(event: Event, subscriber: Subscriber): Unit =
subscriber ! event
}
lazy val weakEventBus = new WeakEventBus
implicit val timeout = akka.util.Timeout(1000)
lazy val actorSystem = ActorSystem("serversys", ConfigFactory.parseString("""
akka {
loglevel = "DEBUG"
actor {
provider = "akka.remote.RemoteActorRefProvider"
debug {
receive = on
autoreceive = on
lifecycle = on
event-stream = on
}
}
remote {
transport = "akka.remote.netty.NettyRemoteTransport"
log-sent-messages = on
log-received-messages = on
}
}
serverconf {
include "common"
akka {
actor {
deployment {
/root {
remote = "akka://serversys#127.0.0.1:2552"
}
}
}
remote {
netty {
hostname = "127.0.0.1"
port = 2552
}
}
}
}
""").getConfig("serverconf"))
class Server extends Actor {
private[this] val scheduled = new AtomicBoolean(false)
private[this] val gcFlagRef = new AtomicReference[WeakReference[AnyRef]]()
val gcCheckPeriod = Duration(5000, "millis")
override def preRestart(reason: Throwable, message: Option[Any]) {
self ! GcCheckScheduled(scheduled.get, gcFlagRef.get)
super.preRestart(reason, message)
}
def schedule(period: Duration, who: ActorRef) =
actorSystem.scheduler.scheduleOnce(period)(who ! GcCheck)
def receive = {
case StartServer(nodeName) =>
sender ! ServerStarted(nodeName, self)
if (scheduled.compareAndSet(false, true))
schedule(gcCheckPeriod, self)
val gcFlagObj = new AnyRef()
gcFlagRef.set(new WeakReference(gcFlagObj))
weakEventBus.subscribe(self, nodeName)
actorSystem.eventStream.unsubscribe(self)
case GcCheck =>
val gcFlag = gcFlagRef.get
if (gcFlag == null) {
sys.error("gcFlag")
}
gcFlag.get match {
case Some(gcFlagObj) =>
scheduled.set(true)
schedule(gcCheckPeriod, self)
case None =>
println("Actor stopped because of GC: " + self)
context.stop(self)
}
case GcCheckScheduled(isScheduled, gcFlag) =>
if (isScheduled && scheduled.compareAndSet(false, isScheduled)) {
gcFlagRef.compareAndSet(null, gcFlag)
schedule(gcCheckPeriod, self)
}
case IsAlive(nodeName) =>
println("Im alive (default EventBus): " + nodeName)
sender ! AmAlive(nodeName, self)
case e: MessageEvent =>
println("Im alive (weak EventBus): " + e)
}
}
// :paste 2/2
class Root extends Actor {
def receive = {
case start # StartServer(nodeName) =>
val server = context.actorOf(Props[Server], nodeName)
context.watch(server)
Await.result(server ? start, timeout.duration)
.asInstanceOf[ServerStarted] match {
case started # ServerStarted(nodeName, _) =>
sender ! started
case _ =>
throw new RuntimeException(
"[S][FAIL] Could not start server: " + start)
}
case isAlive # IsAlive(nodeName) =>
Await.result(context.actorFor(nodeName) ? isAlive,
timeout.duration).asInstanceOf[AmAlive] match {
case AmAlive(nodeName, _) =>
println("[S][SUCC] Server is alive : " + nodeName)
case _ =>
throw new RuntimeException("[S][FAIL] Wrong answer: " + nodeName)
}
case isAliveWeak # IsAliveWeak(nodeName) =>
actorSystem.eventStream.publish(MessageEvent(nodeName,
PostMessage(text="isAlive-default")))
weakEventBus.publish(MessageEvent(nodeName,
PostMessage(text="isAlive-weak")))
}
}
lazy val rootActor = actorSystem.actorOf(Props[Root], "root")
object Root {
def start(nodeName: String) = {
val msg = StartServer(nodeName)
var startedActor: Option[ActorRef] = None
Await.result(rootActor ? msg, timeout.duration)
.asInstanceOf[ServerStarted] match {
case succ # ServerStarted(nodeName, actor) =>
println("[S][SUCC] Server started: " + succ)
startedActor = Some(actor)
case _ =>
throw new RuntimeException("[S][FAIL] Could not start server: " + msg)
}
startedActor
}
def isAlive(nodeName: String) = rootActor ! IsAlive(nodeName)
def isAliveWeak(nodeName: String) = rootActor ! IsAliveWeak(nodeName)
}
////////////////
// actual test
Root.start("weak")
Thread.sleep(7000L)
System.gc()
Root.isAlive("weak")