我有以下演员设置,使用Akka演员(2.10)
A -spawn-> B -spawn-> ç
A -sendWork-> B -sendWork-> ç
C -sendResults-> A(反复)
然而,在某些时候A注意到它应该改变发送到B / C的工作量,因为C发送的大量消息结果是无用的。但是,在这种情况下,C的收件箱似乎非常满,和/或C可能被阻止。
如何告诉B立即关闭C?丢失B和C的状态和消息是可以接受的,因此可以选择销毁它们并生成新的消息。
答案 0 :(得分:1)
鉴于演员按照您描述的方式开始,然后以正确的方式使用stop
将完成您的要求。根据文档,调用stop将同时:
1)阻止其他邮件进入邮箱(发送到deadletter)
2)获取邮箱的当前内容并将其发送到deadletter(虽然这是基于邮箱impl,但重点是它们不会被处理)
现在如果演员需要完全完成它正在处理的消息,那么它会一直停止,所以如果它被“卡住”,停止(或者任何事情)就不会解决这个问题,但我不会认为这就是你所描述的情况。
我将一些代码示例拉到一起进行演示。基本上,A会向B发送一条消息,开始向C发送工作.B会将C工作淹没,C会将该工作的结果发回给A.当A收到一定数量的回复时,它会通过停止B触发B和C的停止。当B完全停止时,它将再次重新启动该过程,最多2次,因为它自行停止。代码如下所示:
case object StartWork
case class DoWork(i:Int, a:ActorRef)
case class WorkResults(i:Int)
class ActorA extends Actor{
import context._
var responseCount = 0
var restarts = 0
def receive = startingWork
def startingWork:Receive = {
case sw @ StartWork =>
val myb = actorOf(Props[ActorB])
myb ! sw
become(waitingForResponses(myb))
}
def waitingForResponses(myb:ActorRef):Receive = {
case WorkResults(i) =>
println(s"Got back work results: $i")
responseCount += 1
if (responseCount > 200){
println("Got too many responses, terminating children and starting again")
watch(myb)
stop(myb)
become(waitingForDeath)
}
}
def waitingForDeath:Receive = {
case Terminated(ref) =>
restarts += 1
if (restarts <= 2){
println("children terminated, starting work again")
responseCount = 0
become(startingWork)
self ! StartWork
}
else{
println("too many restarts, stopping self")
context.stop(self)
}
}
}
class ActorB extends Actor{
import concurrent.duration._
import context._
var sched:Option[Cancellable] = None
override def postStop = {
println("stopping b")
sched foreach (_.cancel)
}
def receive = starting
def starting:Receive = {
case sw @ StartWork =>
val myc = context.actorOf(Props[ActorC])
sched = Some(context.system.scheduler.schedule(1 second, 1 second, self, "tick"))
become(sendingWork(myc, sender))
}
def sendingWork(myc:ActorRef, a:ActorRef):Receive = {
case "tick" =>
for(j <- 1 until 1000) myc ! DoWork(j, a)
}
}
class ActorC extends Actor{
override def postStop = {
println("stopping c")
}
def receive = {
case DoWork(i, a) =>
a ! WorkResults(i)
}
}
边缘有点粗糙,但它应该表明,从B到C的级联级联将阻止C将响应发送回A,即使它仍然在邮箱中有消息。我希望这就是你要找的东西。