• Akka源码分析-Actor发消息


      前面两篇文章简单介绍了ActorSystem、actor以及dispatcher和mailbox的创建,下面我们就来看一下actor发消息的内部机制。

    val system = ActorSystem("firstActorSystem",ConfigFactory.load())
    val helloActor = system.actorOf(Props(new HelloActor),"HelloActor")
    helloActor ! "Hello"
    

       同样还是回到一个简单的akka应用,通过之前的分析我们知道,helloActor应该是一个RepointableActorRef类型的对象,那么调用 ! 应该也是调用RepointableActorRef对应的 ! 方法。

    def !(message: Any)(implicit sender: ActorRef = Actor.noSender) = underlying.sendMessage(message, sender)
    

       上面是RepointableActorRef对!方法的实现,其实就是调用underlying.sendMessage。怎么样,underliying是不是似曾相似呢?再来看看underliying的定义,它是一个Cell类,不过获取过程稍显复杂啊。

     /*
       * H E R E   B E   D R A G O N S !
       *
       * There are two main functions of a Cell: message queueing and child lookup.
       * When switching out the UnstartedCell for its real replacement, the former
       * must be switched after all messages have been drained from the temporary
       * queue into the real mailbox, while the latter must be switched before
       * processing the very first message (i.e. before Cell.start()). Hence there
       * are two refs here, one for each function, and they are switched just so.
       */
      @volatile private var _cellDoNotCallMeDirectly: Cell = _
      @volatile private var _lookupDoNotCallMeDirectly: Cell = _
    
      def underlying: Cell = Unsafe.instance.getObjectVolatile(this, cellOffset).asInstanceOf[Cell]
      def lookup = Unsafe.instance.getObjectVolatile(this, lookupOffset).asInstanceOf[Cell]
    
      @tailrec final def swapCell(next: Cell): Cell = {
        val old = underlying
        if (Unsafe.instance.compareAndSwapObject(this, cellOffset, old, next)) old else swapCell(next)
      }
    
      @tailrec final def swapLookup(next: Cell): Cell = {
        val old = lookup
        if (Unsafe.instance.compareAndSwapObject(this, lookupOffset, old, next)) old else swapLookup(next)
      }
    

       从官网源码的注释来看,这两个cell的功能进行了严格区分。一个用来消息的出队、入队,一个用来查找child。不过从initialize的逻辑来看,刚开始underlying是一个UnstartedCell实例。

     def sendMessage(msg: Envelope): Unit = {
        if (lock.tryLock(timeout.length, timeout.unit)) {
          try {
            val cell = self.underlying
            if (cellIsReady(cell)) {
              cell.sendMessage(msg)
            } else if (!queue.offer(msg)) {
              system.eventStream.publish(Warning(self.path.toString, getClass, "dropping message of type " + msg.message.getClass + " due to enqueue failure"))
              system.deadLetters.tell(DeadLetter(msg.message, msg.sender, self), msg.sender)
            } else if (Mailbox.debug) println(s"$self temp queueing ${msg.message} from ${msg.sender}")
          } finally lock.unlock()
        } else {
          system.eventStream.publish(Warning(self.path.toString, getClass, "dropping message of type" + msg.message.getClass + " due to lock timeout"))
          system.deadLetters.tell(DeadLetter(msg.message, msg.sender, self), msg.sender)
        }
      }
    

       上面是UnstartedCell的sendMessage的具体实现。从代码来看如果underlying已经ready的话,就调用相应的sendMessage方法否则就把消息暂存到JLinkedList里面,其实就是java的LinkedList;如果暂存失败,则把消息发送到eventStream,并转发给deadLetters。那么underlying怎么判断是ready呢?

    private[this] final def cellIsReady(cell: Cell): Boolean = (cell ne this) && (cell ne null)
    

       这判断方法也挺简单,就是判断RepointableActorRef的underlying和当前的cell指针是不是相同。还记得underlying是怎么初始化的吗?没错,就是一个UnstartedCell。那么underlying什么时候被修改了呢,或者说什么时候ready了呢?这个就要研究RepointableActorRef中用到underlying字段的地方了。

    def point(catchFailures: Boolean): this.type =
        underlying match {
          case u: UnstartedCell ⇒
            val cell =
              try newCell(u)
              catch {
                case NonFatal(ex) if catchFailures ⇒
                  val safeDispatcher = system.dispatchers.defaultGlobalDispatcher
                  new ActorCell(system, this, props, safeDispatcher, supervisor).initWithFailure(ex)
              }
            /*
             * The problem here was that if the real actor (which will start running
             * at cell.start()) creates children in its constructor, then this may
             * happen before the swapCell in u.replaceWith, meaning that those
             * children cannot be looked up immediately, e.g. if they shall become
             * routees.
             */
            swapLookup(cell)
            cell.start()
            u.replaceWith(cell)
            this
          case null ⇒ throw new IllegalStateException("underlying cell is null")
          case _    ⇒ this // this happens routinely for things which were created async=false
        }
    

       还记得initialize最后调用了point么,我们来看看这个函数是干啥的?看到没,它在判断underlying的类型,如果是UnstartedCell做了什么呢?简单来说就是它创建了一个新的ActorCell,然后调用新ActorCell的start函数,最后调用UnstartedCell的replaceWith函数。那么replaceWith做了什么呢?

      def replaceWith(cell: Cell): Unit = locked {
        try {
          def drainSysmsgQueue(): Unit = {
            // using while in case a sys msg enqueues another sys msg
            while (sysmsgQueue.nonEmpty) {
              var sysQ = sysmsgQueue.reverse
              sysmsgQueue = SystemMessageList.LNil
              while (sysQ.nonEmpty) {
                val msg = sysQ.head
                sysQ = sysQ.tail
                msg.unlink()
                cell.sendSystemMessage(msg)
              }
            }
          }
    
          drainSysmsgQueue()
    
          while (!queue.isEmpty) {
            cell.sendMessage(queue.poll())
            // drain sysmsgQueue in case a msg enqueues a sys msg
            drainSysmsgQueue()
          }
        } finally {
          self.swapCell(cell)
        }
      }
    

       代码也比较简单,就是先把系统消息取出发送给新的Cell,然后把原来暂存的消息通过sendMessage转发给新Cell。最后调用了原来的swapCell函数,用刚才新创建的ActorCell替换underlying。

    /**
       * This is called by activate() to obtain the cell which is to replace the
       * unstarted cell. The cell must be fully functional.
       */
      def newCell(old: UnstartedCell): Cell =
        new ActorCell(system, this, props, dispatcher, supervisor).init(sendSupervise = false, mailboxType)
    

       我们来看看新ActorCell的创建代码,也比较简单,就是new了一个ActorCell,然后调用init进行初始化。其实分析到这里,基本也就清楚了,helloActor ! "Hello"最终调用了ActorCell的sendMessage方法。不过在ActorCell里面并没有直接找到sendMessage的方法,这是为啥呢?是不是我们分析错了呢。在分析一下newCell方法我们会发现,它并没有直接返回ActorCell,而是返回了ActorCell调用你init之后的对象,我们似乎没有分析init,那就继续看吧。

      通过追踪代码我们发现,init这是ActorCell从Dispatch继承的方法。

    /**
       * Initialize this cell, i.e. set up mailboxes and supervision. The UID must be
       * reasonably different from the previous UID of a possible actor with the same path,
       * which can be achieved by using ThreadLocalRandom.current.nextInt().
       */
      final def init(sendSupervise: Boolean, mailboxType: MailboxType): this.type = {
        /*
         * Create the mailbox and enqueue the Create() message to ensure that
         * this is processed before anything else.
         */
        val mbox = dispatcher.createMailbox(this, mailboxType)
    
        /*
         * The mailboxType was calculated taking into account what the MailboxType
         * has promised to produce. If that was more than the default, then we need
         * to reverify here because the dispatcher may well have screwed it up.
         */
        // we need to delay the failure to the point of actor creation so we can handle
        // it properly in the normal way
        val actorClass = props.actorClass
        val createMessage = mailboxType match {
          case _: ProducesMessageQueue[_] if system.mailboxes.hasRequiredType(actorClass) ⇒
            val req = system.mailboxes.getRequiredType(actorClass)
            if (req isInstance mbox.messageQueue) Create(None)
            else {
              val gotType = if (mbox.messageQueue == null) "null" else mbox.messageQueue.getClass.getName
              Create(Some(ActorInitializationException(
                self,
                s"Actor [$self] requires mailbox type [$req] got [$gotType]")))
            }
          case _ ⇒ Create(None)
        }
    
        swapMailbox(mbox)
        mailbox.setActor(this)
    
        // ➡➡➡ NEVER SEND THE SAME SYSTEM MESSAGE OBJECT TO TWO ACTORS ⬅⬅⬅
        mailbox.systemEnqueue(self, createMessage)
    
        if (sendSupervise) {
          // ➡➡➡ NEVER SEND THE SAME SYSTEM MESSAGE OBJECT TO TWO ACTORS ⬅⬅⬅
          parent.sendSystemMessage(akka.dispatch.sysmsg.Supervise(self, async = false))
        }
        this
      }
    

       首先用dispatcher创建了mailbox,那么dispatcher从哪里来的呢?从Dispatch的定义我们看出,继承Dispatch的一定子类必定是一个ActorCell,那么很明显,这个Dispatch就是子类ActorCell的的dispatcher字段。

    private[akka] trait Dispatch { this: ActorCell ⇒
    

       从前面的分析我们知道dispatcher是akka.dispatch.Dispatcher的一个实例,下面是createMailbox函数的具体实现。

      /**
       * INTERNAL API
       */
      protected[akka] def createMailbox(actor: akka.actor.Cell, mailboxType: MailboxType): Mailbox = {
        new Mailbox(mailboxType.create(Some(actor.self), Some(actor.system))) with DefaultSystemMessageQueue
      }
    

       下面是Mailbox的定义,它继承了ForkJoinTask[Unit] 、SystemMessageQueue、Runnable,这好像可以放到线程池去执行的,不过我们先略过不作分析。

    /**
     * Mailbox and InternalMailbox is separated in two classes because ActorCell is needed for implementation,
     * but can't be exposed to user defined mailbox subclasses.
     *
     * INTERNAL API
     */
    private[akka] abstract class Mailbox(val messageQueue: MessageQueue)
      extends ForkJoinTask[Unit] with SystemMessageQueue with Runnable
    

       继续分析init我们发现,它通过swapMailbox方法把新创建的mbox赋值给了mailbox,然后又通过setActor把ActorCell与mailbox进行关联,最后给mailBox发送了一个createMessage。这也不再深入分析,继续回到Dispatch特质。

      我们发现ActorCell虽然没有实现sendMessage,但它继承的Dispatch实现了这个方法。

    def sendMessage(msg: Envelope): Unit =
        try {
          val msgToDispatch =
            if (system.settings.SerializeAllMessages) serializeAndDeserialize(msg)
            else msg
    
          dispatcher.dispatch(this, msgToDispatch)
        } catch handleException
    

       很明显,最终调用了dispatcher的dispatch方法,把消息发送出去了。

     /**
       * INTERNAL API
       */
      protected[akka] def dispatch(receiver: ActorCell, invocation: Envelope): Unit = {
        val mbox = receiver.mailbox
        mbox.enqueue(receiver.self, invocation)
        registerForExecution(mbox, true, false)
      }
    

       上面是dispatch的方法,它调用receiver.mailbox的enqueue方法,把消息入队列,然后调用registerForExecution。

      /**
       * Returns if it was registered
       *
       * INTERNAL API
       */
      protected[akka] override def registerForExecution(mbox: Mailbox, hasMessageHint: Boolean, hasSystemMessageHint: Boolean): Boolean = {
        if (mbox.canBeScheduledForExecution(hasMessageHint, hasSystemMessageHint)) { //This needs to be here to ensure thread safety and no races
          if (mbox.setAsScheduled()) {
            try {
              executorService execute mbox
              true
            } catch {
              case e: RejectedExecutionException ⇒
                try {
                  executorService execute mbox
                  true
                } catch { //Retry once
                  case e: RejectedExecutionException ⇒
                    mbox.setAsIdle()
                    eventStream.publish(Error(e, getClass.getName, getClass, "registerForExecution was rejected twice!"))
                    throw e
                }
            }
          } else false
        } else false
      }
    

       registerForExecution做了什么呢?很明显它修改了Mailbox的状态使其变成Scheduled 。如果设置成功,则把该Mailbox放到executorService去调度。还记不记得Mailbox都实现了哪些接口呢:ForkJoinTask[Unit] 、SystemMessageQueue、Runnable。它当然是可以被线程池调度的啊。

      至此消息的发送就已经分析完毕了,通过上面的分析我们知道,发送消息的过程大概就是先把消息通过Mailbox的enque进入队列,当然这默认实现就是akka.dispatch.UnboundedMailbox。Mailbox会在ForkJoinPool(默认是这样的)线程池中申请一个线程进行调度,执行最终的run方法。

     override final def run(): Unit = {
        try {
          if (!isClosed) { //Volatile read, needed here
            processAllSystemMessages() //First, deal with any system messages
            processMailbox() //Then deal with messages
          }
        } finally {
          setAsIdle() //Volatile write, needed here
          dispatcher.registerForExecution(this, false, false)
        }
      }
    

       下面是run方法的具体实现,也比较简单,就是调用processAllSystemMessages/processMailbox分别处理系统消息和用户发送的消息,当然不会全部把消息处理完毕,会有一定的限制(dispatch的吞吐量参数)。最后设置mailbox状态为idle,然后又调用了dispatcher.registerForExecution,进入下一次线程调度。mailbox这样以循环的方式对队列中的消息进行处理。

      由于时间关系,今天就先分析到这里。我们已经知道了 ! 的内部细节,它只是把消息放到了mailbox的队列中,然后mailbox被线程池异步调度,循环处理队列中的数据。当然考虑到多线程,这个队列是一个一致性队列,线程安全。下一篇博文,我们会详细介绍processMailbox的功能,下面只是简单的贴出这个函数的源码,读者也可以先简单分析一下。

     /**
       * Process the messages in the mailbox
       */
      @tailrec private final def processMailbox(
        left:       Int  = java.lang.Math.max(dispatcher.throughput, 1),
        deadlineNs: Long = if (dispatcher.isThroughputDeadlineTimeDefined == true) System.nanoTime + dispatcher.throughputDeadlineTime.toNanos else 0L): Unit =
        if (shouldProcessMessage) {
          val next = dequeue()
          if (next ne null) {
            if (Mailbox.debug) println(actor.self + " processing message " + next)
            actor invoke next
            if (Thread.interrupted())
              throw new InterruptedException("Interrupted while processing actor messages")
            processAllSystemMessages()
            if ((left > 1) && ((dispatcher.isThroughputDeadlineTimeDefined == false) || (System.nanoTime - deadlineNs) < 0))
              processMailbox(left - 1, deadlineNs)
          }
        }
    
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  • 原文地址:https://www.cnblogs.com/gabry/p/9343066.html
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