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

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/**
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* Copyright (C) 2009-2010 Scalable Solutions AB <http://scalablesolutions.se>
*/
package se.scalablesolutions.akka.dispatch
import se.scalablesolutions.akka.actor.{ActorRef, IllegalActorStateException}
import java.util.Queue
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import java.util.concurrent.{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
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* the {@link se.scalablesolutions.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 throughputDeadlineMs: Int = Dispatchers.THROUGHPUT_DEADLINE_MS,
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mailboxConfig: MailboxConfig = Dispatchers.MAILBOX_CONFIG,
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config: (ThreadPoolBuilder) => Unit = _ => ()) extends MessageDispatcher with ThreadPoolBuilder {
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def this(_name: String, throughput: Int, throughputDeadlineMs: Int, capacity: Int) = this(_name,throughput,throughputDeadlineMs,MailboxConfig(capacity,None,false))
def this(_name: String, throughput: Int) = this(_name, throughput, Dispatchers.THROUGHPUT_DEADLINE_MS, Dispatchers.MAILBOX_CAPACITY) // Needed for Java API usage
def this(_name: String) = this(_name,Dispatchers.THROUGHPUT, Dispatchers.THROUGHPUT_DEADLINE_MS,Dispatchers.MAILBOX_CAPACITY) // Needed for Java API usage
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//FIXME remove this from ThreadPoolBuilder
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mailboxCapacity = mailboxConfig.capacity
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@volatile private var active: Boolean = false
val name = "akka:event-driven:dispatcher:" + _name
init
/**
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* This is the behavior of an ExecutorBasedEventDrivenDispatchers mailbox
*/
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trait ExecutableMailbox extends Runnable { self: MessageQueue =>
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final def run = {
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val reschedule = try {
processMailbox()
} finally {
dispatcherLock.unlock()
}
if (reschedule || !self.isEmpty)
registerForExecution(self)
}
/**
* 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(): Boolean = {
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var nextMessage = self.dequeue
if (nextMessage ne null) {
val throttle = throughput > 0
var processedMessages = 0
val isDeadlineEnabled = throttle && throughputDeadlineMs > 0
val started = if (isDeadlineEnabled) System.currentTimeMillis else 0
do {
nextMessage.invoke
if(throttle) { //Will be elided when false
processedMessages += 1
if ((processedMessages >= throughput)
|| (isDeadlineEnabled && (System.currentTimeMillis - started) >= throughputDeadlineMs)) //If we're throttled, break out
return !self.isEmpty
}
nextMessage = self.dequeue
}
while (nextMessage ne null)
}
false
}
}
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def dispatch(invocation: MessageInvocation) = {
val mbox = getMailbox(invocation.receiver)
mbox enqueue invocation
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registerForExecution(mbox)
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}
protected def registerForExecution(mailbox: MessageQueue with ExecutableMailbox): Unit = if (active) {
if (mailbox.dispatcherLock.tryLock()) {
try {
executor execute mailbox
} catch {
case e: RejectedExecutionException =>
mailbox.dispatcherLock.unlock()
throw e
}
}
} else {
log.warning("%s is shut down,\n\tignoring the rest of the messages in the mailbox of\n\t%s", toString, mailbox)
}
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/**
* @return the mailbox associated with the actor
*/
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private 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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override def createMailbox(actorRef: ActorRef): AnyRef = {
if (mailboxCapacity > 0)
new DefaultBoundedMessageQueue(mailboxCapacity,mailboxConfig.pushTimeOut,blockDequeue = false) with ExecutableMailbox
else
new DefaultUnboundedMessageQueue(blockDequeue = false) with ExecutableMailbox
}
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def start = if (!active) {
log.debug("Starting up %s\n\twith throughput [%d]", toString, throughput)
active = true
}
def shutdown = if (active) {
log.debug("Shutting down %s", toString)
executor.shutdownNow
active = false
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uuids.clear
}
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def ensureNotActive(): Unit = if (active) {
throw new IllegalActorStateException(
"Can't build a new thread pool for a dispatcher that is already up and running")
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}
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override def toString = "ExecutorBasedEventDrivenDispatcher[" + name + "]"
// FIXME: should we have an unbounded queue and not bounded as default ????
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private[akka] def init = {
withNewThreadPoolWithLinkedBlockingQueueWithUnboundedCapacity
config(this)
buildThreadPool
}
}