pekko/akka-actor/src/main/scala/akka/dispatch/ExecutorBasedEventDrivenDispatcher.scala

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/**
* Copyright (C) 2009-2011 Scalable Solutions AB <http://scalablesolutions.se>
*/
package akka.dispatch
import akka.actor.{ActorRef, IllegalActorStateException, EventHandler}
import akka.util.{ReflectiveAccess, Switch}
import java.util.Queue
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import java.util.concurrent.atomic.AtomicReference
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import java.util.concurrent.{ TimeUnit, ExecutorService, RejectedExecutionException, ConcurrentLinkedQueue, LinkedBlockingQueue}
/**
* Default settings are:
* <pre/>
* - withNewThreadPoolWithLinkedBlockingQueueWithUnboundedCapacity
* - NR_START_THREADS = 16
* - NR_MAX_THREADS = 128
* - KEEP_ALIVE_TIME = 60000L // one minute
* </pre>
* <p/>
*
* The dispatcher has a fluent builder interface to build up a thread pool to suite your use-case.
* There is a default thread pool defined but make use of the builder if you need it. Here are some examples.
* <p/>
*
* Scala API.
* <p/>
* Example usage:
* <pre/>
* val dispatcher = new ExecutorBasedEventDrivenDispatcher("name")
* dispatcher
* .withNewThreadPoolWithBoundedBlockingQueue(100)
* .setCorePoolSize(16)
* .setMaxPoolSize(128)
* .setKeepAliveTimeInMillis(60000)
* .setRejectionPolicy(new CallerRunsPolicy)
* .buildThreadPool
* </pre>
* <p/>
*
* Java API.
* <p/>
* Example usage:
* <pre/>
* ExecutorBasedEventDrivenDispatcher dispatcher = new ExecutorBasedEventDrivenDispatcher("name");
* dispatcher
* .withNewThreadPoolWithBoundedBlockingQueue(100)
* .setCorePoolSize(16)
* .setMaxPoolSize(128)
* .setKeepAliveTimeInMillis(60000)
* .setRejectionPolicy(new CallerRunsPolicy())
* .buildThreadPool();
* </pre>
* <p/>
*
* But the preferred way of creating dispatchers is to use
* the {@link akka.dispatch.Dispatchers} factory object.
*
* @author <a href="http://jonasboner.com">Jonas Bon&#233;r</a>
* @param throughput positive integer indicates the dispatcher will only process so much messages at a time from the
* mailbox, without checking the mailboxes of other actors. Zero or negative means the dispatcher
* always continues until the mailbox is empty.
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* Larger values (or zero or negative) increase througput, smaller values increase fairness
*/
class ExecutorBasedEventDrivenDispatcher(
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_name: String,
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val throughput: Int = Dispatchers.THROUGHPUT,
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val throughputDeadlineTime: Int = Dispatchers.THROUGHPUT_DEADLINE_TIME_MILLIS,
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val mailboxType: MailboxType = Dispatchers.MAILBOX_TYPE,
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val config: ThreadPoolConfig = ThreadPoolConfig())
extends MessageDispatcher {
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def this(_name: String, throughput: Int, throughputDeadlineTime: Int, mailboxType: MailboxType) =
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this(_name, throughput, throughputDeadlineTime, mailboxType,ThreadPoolConfig()) // Needed for Java API usage
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def this(_name: String, throughput: Int, mailboxType: MailboxType) =
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this(_name, throughput, Dispatchers.THROUGHPUT_DEADLINE_TIME_MILLIS, mailboxType) // Needed for Java API usage
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def this(_name: String, throughput: Int) =
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this(_name, throughput, Dispatchers.THROUGHPUT_DEADLINE_TIME_MILLIS, Dispatchers.MAILBOX_TYPE) // Needed for Java API usage
def this(_name: String, _config: ThreadPoolConfig) =
this(_name, Dispatchers.THROUGHPUT, Dispatchers.THROUGHPUT_DEADLINE_TIME_MILLIS, Dispatchers.MAILBOX_TYPE, _config)
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def this(_name: String) =
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this(_name, Dispatchers.THROUGHPUT, Dispatchers.THROUGHPUT_DEADLINE_TIME_MILLIS, Dispatchers.MAILBOX_TYPE) // Needed for Java API usage
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val name = "akka:event-driven:dispatcher:" + _name
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private[akka] val threadFactory = new MonitorableThreadFactory(name)
private[akka] val executorService = new AtomicReference[ExecutorService](config.createLazyExecutorService(threadFactory))
private[akka] def dispatch(invocation: MessageInvocation) = {
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val mbox = getMailbox(invocation.receiver)
mbox enqueue invocation
registerForExecution(mbox)
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}
private[akka] def executeFuture(invocation: FutureInvocation): Unit = if (active.isOn) {
try executorService.get() execute invocation
catch {
case e: RejectedExecutionException =>
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EventHandler notifyListeners EventHandler.Warning(this, e.toString)
throw e
}
}
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/**
* @return the mailbox associated with the actor
*/
protected def getMailbox(receiver: ActorRef) = receiver.mailbox.asInstanceOf[MessageQueue with ExecutableMailbox]
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override def mailboxSize(actorRef: ActorRef) = getMailbox(actorRef).size
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def createMailbox(actorRef: ActorRef): AnyRef = mailboxType match {
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case UnboundedMailbox(blocking) => new DefaultUnboundedMessageQueue(blocking) with ExecutableMailbox {
def dispatcher = ExecutorBasedEventDrivenDispatcher.this
}
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case BoundedMailbox(blocking, capacity, pushTimeOut) =>
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new DefaultBoundedMessageQueue(capacity, pushTimeOut, blocking) with ExecutableMailbox {
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def dispatcher = ExecutorBasedEventDrivenDispatcher.this
}
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}
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private[akka] def start {}
private[akka] def shutdown {
val old = executorService.getAndSet(config.createLazyExecutorService(threadFactory))
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if (old ne null) {
old.shutdownNow()
}
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}
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private[akka] def registerForExecution(mbox: MessageQueue with ExecutableMailbox): Unit = {
if (mbox.dispatcherLock.tryLock()) {
if (active.isOn && !mbox.suspended.locked) { //If the dispatcher is active and the actor not suspended
try {
executorService.get() execute mbox
} catch {
case e: RejectedExecutionException =>
EventHandler notifyListeners EventHandler.Warning(this, e.toString)
mbox.dispatcherLock.unlock()
throw e
}
} else {
mbox.dispatcherLock.unlock() //If the dispatcher isn't active or if the actor is suspended, unlock the dispatcher lock
}
}
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}
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private[akka] def reRegisterForExecution(mbox: MessageQueue with ExecutableMailbox): Unit =
registerForExecution(mbox)
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override val toString = getClass.getSimpleName + "[" + name + "]"
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def suspend(actorRef: ActorRef) {
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getMailbox(actorRef).suspended.tryLock
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}
def resume(actorRef: ActorRef) {
val mbox = getMailbox(actorRef)
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mbox.suspended.tryUnlock
reRegisterForExecution(mbox)
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}
}
/**
* This is the behavior of an ExecutorBasedEventDrivenDispatchers mailbox.
*/
trait ExecutableMailbox extends Runnable { self: MessageQueue =>
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def dispatcher: ExecutorBasedEventDrivenDispatcher
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final def run = {
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try {
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processMailbox()
} catch {
case ie: InterruptedException =>
} finally {
dispatcherLock.unlock()
}
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if (!self.isEmpty)
dispatcher.reRegisterForExecution(this)
}
/**
* Process the messages in the mailbox
*
* @return true if the processing finished before the mailbox was empty, due to the throughput constraint
*/
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final def processMailbox() {
if (!self.suspended.locked) {
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var nextMessage = self.dequeue
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if (nextMessage ne null) { //If we have a message
if (dispatcher.throughput <= 1) //If we only run one message per process
nextMessage.invoke //Just run it
else { //But otherwise, if we are throttled, we need to do some book-keeping
var processedMessages = 0
val isDeadlineEnabled = dispatcher.throughputDeadlineTime > 0
val deadlineNs = if (isDeadlineEnabled) System.nanoTime + TimeUnit.MILLISECONDS.toNanos(dispatcher.throughputDeadlineTime) else 0
do {
nextMessage.invoke
nextMessage =
if (self.suspended.locked) {
null //If we are suspended, abort
}
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else { //If we aren't suspended, we need to make sure we're not overstepping our boundaries
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processedMessages += 1
if ((processedMessages >= dispatcher.throughput) || (isDeadlineEnabled && System.nanoTime >= deadlineNs)) // If we're throttled, break out
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null //We reached our boundaries, abort
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else
self.dequeue //Dequeue the next message
}
} while (nextMessage ne null)
}
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}
}
}
}