scala – akka在tcp上流

以下是设置：我希望能够通过tcp连接将消息(jsons转换为bytestrings)从发布者流式传输到远程服务器订阅者.
理想情况下,发布者将是一个接收内部消息,排队然后然后将它们流式传输到订阅者服务器的参与者,如果当然有出色的需求.据我所知,这需要扩展ActorPublisher类,以便在需要时将消息扩展到onNext().
我的问题是,到目前为止,我只能向服务器发送(接收和解码)一次性消息,每次都打开一个新的连接.我没有设法绕过akka doc并能够使用ActorPublisher设置正确的tcp Flow.
以下是发布商的代码：

def send(message: Message): Unit = {
    val system = Akka.system()
    implicit val sys = system

    import system.dispatcher

    implicit val materializer = ActorMaterializer()

    val address =     Play.current.configuration.getString("eventservice.location").getOrElse("localhost")
    val port = Play.current.configuration.getInt("eventservice.port").getOrElse(9000)

    /*** Try with actorPublisher ***/
    //val result = Source.actorPublisher[Message]    (Props[EventActor]).via(Flow[Message].map(Json.toJson(_).toString.map(ByteString(_))))

    /*** Try with actorRef ***/
    /*val source = Source.actorRef[Message](0,OverflowStrategy.fail).map(
  m => {
    Logger.info(s"Sending message: ${m.toString}")
    ByteString(Json.toJson(m).toString)
  }
)
    val ref = Flow[ByteString].via(Tcp().outgoingConnection(address,port)).to(Sink.ignore).runWith(source)*/

    val result = Source(Json.toJson(message).toString.map(ByteString(_))).
  via(Tcp().outgoingConnection(address,port)).
  runFold(ByteString.empty) { (acc,in) ⇒ acc ++ in }//Handle the future
}

以及最终非常标准的演员代码：

import akka.actor.Actor
import akka.stream.actor.ActorSubscriberMessage.{OnComplete,OnError}
import akka.stream.actor.{ActorPublisherMessage,ActorPublisher}

import models.events.Message

import play.api.Logger

import scala.collection.mutable

class EventActor extends Actor with ActorPublisher[Message] {
   import ActorPublisherMessage._
   var queue: mutable.Queue[Message] = mutable.Queue.empty

   def receive = {
      case m: Message =>
         Logger.info(s"EventActor - message received and queued: ${m.toString}")
         queue.enqueue(m)
         publish()

      case Request => publish()

      case Cancel =>
          Logger.info("EventActor - cancel message received")
          context.stop(self)

      case OnError(err: Exception) =>
          Logger.info("EventActor - error message received")
          onError(err)
          context.stop(self)

      case OnComplete =>
          Logger.info("EventActor - onComplete message received")
          onComplete()
          context.stop(self)
   }

    def publish() = {
     while (queue.nonEmpty && isActive && totalDemand > 0) {
     Logger.info("EventActor - message published")
     onNext(queue.dequeue())
   }
 }

如有必要,我可以提供订阅者的代码：

def connect(system: ActorSystem,address: String,port: Int): Unit = {
implicit val sys = system
import system.dispatcher
implicit val materializer = ActorMaterializer()

val handler = Sink.foreach[Tcp.IncomingConnection] { conn =>
  Logger.info("Event server connected to: " + conn.remoteAddress)
  // Get the ByteString flow and reconstruct the msg for handling and then output it back
  // that is how handleWith work apparently
  conn.handleWith(
    Flow[ByteString].fold(ByteString.empty)((acc,b) => acc ++ b).
      map(b => handleIncomingMessages(system,b.utf8String)).
      map(ByteString(_))
  )
}

val connections = Tcp().bind(address,port)
val binding = connections.to(handler).run()

binding.onComplete {
  case Success(b) =>
    Logger.info("Event server started,listening on: " + b.localAddress)
  case Failure(e) =>
    Logger.info(s"Event server could not bind to $address:$port: ${e.getMessage}")
    system.terminate()
}
}

提前感谢提示.

解决方法

我的第一个建议是不要编写自己的队列逻辑. Akka提供了这种开箱即用的功能.您也不需要编写自己的Actor,Akka Streams也可以提供它.

首先,我们可以创建Flow,通过Tcp将您的发布者连接到您的订阅者.在您的发布商代码中,您只需创建一次ActorSystem并连接到外部服务器一次：

//this code is at top level of your application

implicit val actorSystem = ActorSystem()
implicit val actorMaterializer = ActorMaterializer()
import actorSystem.dispatcher

val host = Play.current.configuration.getString("eventservice.location").getOrElse("localhost")
val port    = Play.current.configuration.getInt("eventservice.port").getOrElse(9000)

val publishFlow = Tcp().outgoingConnection(host,port)

publishFlow是一个Flow,它将输入您要发送给外部订阅者的ByteString数据,并输出来自订阅者的ByteString数据：

//  data to subscriber ----> publishFlow ----> data returned from subscriber

下一步是发布者来源.您可以使用Source.actorRef到“materialize”将Stream转换为ActorRef,而不是编写自己的Actor.基本上,Stream将成为我们稍后使用的ActorRef：

//these values control the buffer
val bufferSize = 1024
val overflowStrategy = akka.stream.OverflowStrategy.dropHead

val messageSource = Source.actorRef[Message](bufferSize,overflowStrategy)

我们还需要一个Flow将Messages转换为ByteString

val marshalFlow = 
  Flow[Message].map(message => ByteString(Json.toJson(message).toString))

最后,我们可以连接所有部分.由于您没有从外部订户接收任何数据,我们将忽略来自连接的任何数据：

val subscriberRef : ActorRef = messageSource.via(marshalFlow)
                                            .via(publishFlow)
                                            .runWith(Sink.ignore)

我们现在可以将此流视为一个Actor：

val message1 : Message = ???

subscriberRef ! message1

val message2 : Message = ???

subscriberRef ! message2