pekko/akka-actor/src/main/scala/akka/routing/Pool.scala

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/**
* Copyright (C) 2009-2011 Scalable Solutions AB <http://scalablesolutions.se>
*/
package akka.routing
import akka.actor.{Actor, ActorRef, ErrorHandler, ErrorHandlerEvent}
/**
* Actor pooling
*
* An actor pool is an message router for a set of delegate actors. The pool is an actor itself.
* There are a handful of basic concepts that need to be understood when working with and defining your pool.
*
* Selectors - A selector is a trait that determines how and how many pooled actors will receive an incoming message.
* Capacitors - A capacitor is a trait that influences the size of pool. There are effectively two types.
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* The first determines the size itself - either fixed or bounded.
* The second determines how to adjust of the pool according to some internal pressure characteristic.
* Filters - A filter can be used to refine the raw pressure value returned from a capacitor.
*
* It should be pointed out that all actors in the pool are treated as essentially equivalent. This is not to say
* that one couldn't instance different classes within the pool, only that the pool, when selecting and routing,
* will not take any type information into consideration.
*
* @author Garrick Evans
*/
object ActorPool
{
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case object Stat
case class Stats(size:Int)
}
/**
* Defines the nature of an actor pool.
*/
trait ActorPool
{
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def instance():ActorRef
def capacity(delegates:Seq[ActorRef]):Int
def select(delegates:Seq[ActorRef]):Tuple2[Iterator[ActorRef], Int]
}
/**
* A default implementation of a pool, on each message to route,
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* - checks the current capacity and adjusts accordingly if needed
* - routes the incoming message to a selection set of delegate actors
*/
trait DefaultActorPool extends ActorPool
{
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this: Actor =>
import ActorPool._
import collection.mutable.LinkedList
import akka.actor.MaximumNumberOfRestartsWithinTimeRangeReached
protected var _delegates = LinkedList[ActorRef]()
private var _lastCapacityChange = 0
private var _lastSelectorCount = 0
override def postStop = _delegates foreach {_ stop}
protected def _route:Receive =
{
//
// for testing...
//
case Stat =>
self reply_? Stats(_delegates length)
case max:MaximumNumberOfRestartsWithinTimeRangeReached =>
_delegates = _delegates filter {delegate => (delegate.uuid != max.victim.uuid)}
case msg =>
_capacity
_select foreach {delegate =>
self.senderFuture match {
case None => delegate ! msg
case Some(future) =>
Actor.spawn {
try {
future completeWithResult (delegate !! msg).getOrElse(None)
} catch {
case e =>
ErrorHandler notifyListeners ErrorHandlerEvent(e, this)
future completeWithException e
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}
}
}
}
}
private def _capacity =
{
_lastCapacityChange = capacity(_delegates)
if (_lastCapacityChange > 0) {
_delegates ++= {
for (i <- 0 until _lastCapacityChange) yield {
val delegate = instance()
self startLink delegate
delegate
}
}
}
else if (_lastCapacityChange < 0) {
val s = _delegates splitAt(_delegates.length + _lastCapacityChange)
s._2 foreach {_ stop}
_delegates = s._1
}
}
private def _select =
{
val s = select(_delegates)
_lastSelectorCount = s._2
s._1
}
}
/**
* Selectors
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* These traits define how, when a message needs to be routed, delegate(s) are chosen from the pool
**/
/**
* Returns the set of delegates with the least amount of message backlog.
*/
trait SmallestMailboxSelector
{
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def selectionCount:Int
def partialFill:Boolean
def select(delegates:Seq[ActorRef]):Tuple2[Iterator[ActorRef], Int] =
{
var set:Seq[ActorRef] = Nil
var take = {
if (partialFill) math.min(selectionCount, delegates.length)
else selectionCount
}
while (take > 0) {
set = delegates.sortWith((a,b) => a.mailboxSize < b.mailboxSize).take(take) ++ set
take -= set.size
}
(set.iterator, set.size)
}
}
/**
* Returns the set of delegates that occur sequentially 'after' the last delegate from the previous selection
*/
trait RoundRobinSelector
{
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private var _last:Int = -1;
def selectionCount:Int
def partialFill:Boolean
def select(delegates:Seq[ActorRef]):Tuple2[Iterator[ActorRef], Int] =
{
val length = delegates.length
val take = {
if (partialFill) math.min(selectionCount, length)
else selectionCount
}
var set = for (i <- 0 to take) yield {
_last += 1
if (_last >= length) _last = 0
delegates(_last)
}
(set.iterator, set.size)
}
}
/**
* Capacitors
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* These traits define how to alter the size of the pool
*/
/**
* Ensures a fixed number of delegates in the pool
*/
trait FixedSizeCapacitor
{
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def limit:Int
def capacity(delegates:Seq[ActorRef]):Int =
{
val d = limit - delegates.size
if (d>0) d
else 0
}
}
/**
* Constrains the pool capacity to a bounded range
*/
trait BoundedCapacitor
{
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def lowerBound:Int
def upperBound:Int
def capacity(delegates:Seq[ActorRef]):Int =
{
val current = delegates length
var delta = _eval(delegates)
val proposed = current + delta
if (proposed < lowerBound) delta += (lowerBound - proposed)
else if (proposed > upperBound) delta -= (proposed - upperBound)
delta
}
protected def _eval(delegates:Seq[ActorRef]):Int
}
/**
* Returns the number of delegates required to manage the current message backlogs
*/
trait MailboxPressureCapacitor
{
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def pressureThreshold:Int
def pressure(delegates:Seq[ActorRef]):Int =
{
var n = 0;
delegates foreach {d => if (d.mailboxSize > pressureThreshold) n+=1}
n
}
}
/**
* Returns the number of delegates required to respond to the number of pending futures
*/
trait ActiveFuturesPressureCapacitor
{
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def pressure(delegates:Seq[ActorRef]):Int =
{
var n = 0;
delegates foreach {d => if (d.senderFuture.isDefined) n+=1}
n
}
}
/**
*/
trait CapacityStrategy
{
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import ActorPool._
def pressure(delegates:Seq[ActorRef]):Int
def filter(pressure:Int, capacity:Int):Int
protected def _eval(delegates:Seq[ActorRef]):Int = filter(pressure(delegates), delegates.size)
}
trait FixedCapacityStrategy extends FixedSizeCapacitor
trait BoundedCapacityStrategy extends CapacityStrategy with BoundedCapacitor
/**
* Filters
* These traits refine the raw pressure reading into a more appropriate capacity delta.
*/
/**
* The basic filter trait that composes ramp-up and and back-off subfiltering.
*/
trait Filter
{
def rampup(pressure:Int, capacity:Int):Int
def backoff(pressure:Int, capacity:Int):Int
def filter(pressure:Int, capacity:Int):Int =
{
//
// pass through both filters just to be sure any internal counters
// are updated consistently. ramping up is always + and backing off
// is always - and each should return 0 otherwise...
//
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rampup (pressure, capacity) + backoff (pressure, capacity)
}
}
trait BasicFilter extends Filter with BasicRampup with BasicBackoff
/**
* Filter performs steady incremental growth using only the basic ramp-up subfilter
*/
trait BasicNoBackoffFilter extends BasicRampup
{
def filter(pressure:Int, capacity:Int):Int = rampup(pressure, capacity)
}
/**
* Basic incremental growth as a percentage of the current pool capacity
*/
trait BasicRampup
{
def rampupRate:Double
def rampup(pressure:Int, capacity:Int):Int =
{
if (pressure < capacity) 0
else math.ceil(rampupRate * capacity) toInt
}
}
/**
* Basic decrement as a percentage of the current pool capacity
*/
trait BasicBackoff
{
def backoffThreshold:Double
def backoffRate:Double
def backoff(pressure:Int, capacity:Int):Int =
{
if (capacity > 0 && pressure/capacity < backoffThreshold)
math.ceil(-1.0 * backoffRate * capacity) toInt
else
0
}
}
/**
* This filter tracks the average pressure over the lifetime of the pool (or since last reset) and
* will begin to reduce capacity once this value drops below the provided threshold. The number of
* delegates to cull from the pool is determined by some scaling factor (the backoffRate) multiplied
* by the difference in capacity and pressure.
*/
trait RunningMeanBackoff
{
def backoffThreshold:Double
def backoffRate:Double
private var _pressure:Double = 0.0
private var _capacity:Double = 0.0
def backoff(pressure:Int, capacity:Int):Int =
{
_pressure += pressure
_capacity += capacity
if (capacity > 0 && pressure/capacity < backoffThreshold &&
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_capacity > 0 && _pressure/_capacity < backoffThreshold) {
math.floor(-1.0 * backoffRate * (capacity-pressure)).toInt
}
else
0
}
def backoffReset =
{
_pressure - 0.0
_capacity = 0.0
}
}