blob: 89931dc207f9116eec4e6d75c6012045529a2cdc [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.s2graph.rest.play.actors
import java.util.concurrent.TimeUnit
import akka.actor._
import org.apache.s2graph.core.ExceptionHandler._
import org.apache.s2graph.core.utils.logger
import org.apache.s2graph.core.{ExceptionHandler, Graph, GraphElement}
import org.apache.s2graph.rest.play.actors.Protocol.FlushAll
import org.apache.s2graph.rest.play.config.Config
import play.api.Play.current
import play.api.libs.concurrent.Akka
import scala.collection.mutable
import scala.concurrent.duration.Duration
object Protocol {
case object Flush
case object FlushAll
}
object QueueActor {
/** we are throttling down here so fixed number of actor to constant */
var router: ActorRef = _
// Akka.system.actorOf(props(), name = "queueActor")
def init(s2: Graph) = {
router = Akka.system.actorOf(props(s2))
}
def shutdown() = {
router ! FlushAll
Akka.system.shutdown()
Thread.sleep(Config.ASYNC_HBASE_CLIENT_FLUSH_INTERVAL * 2)
}
def props(s2: Graph): Props = Props(classOf[QueueActor], s2)
}
class QueueActor(s2: Graph) extends Actor with ActorLogging {
import Protocol._
implicit val ec = context.system.dispatcher
// logger.error(s"QueueActor: $self")
val queue = mutable.Queue.empty[GraphElement]
var queueSize = 0L
val maxQueueSize = Config.LOCAL_QUEUE_ACTOR_MAX_QUEUE_SIZE
val timeUnitInMillis = 10
val rateLimitTimeStep = 1000 / timeUnitInMillis
val rateLimit = Config.LOCAL_QUEUE_ACTOR_RATE_LIMIT / rateLimitTimeStep
context.system.scheduler.schedule(Duration.Zero, Duration(timeUnitInMillis, TimeUnit.MILLISECONDS), self, Flush)
override def receive: Receive = {
case element: GraphElement =>
if (queueSize > maxQueueSize) {
ExceptionHandler.enqueue(toKafkaMessage(Config.KAFKA_FAIL_TOPIC, element, None))
} else {
queueSize += 1L
queue.enqueue(element)
}
case Flush =>
val elementsToFlush =
if (queue.size < rateLimit) queue.dequeueAll(_ => true)
else (0 until rateLimit).map(_ => queue.dequeue())
val flushSize = elementsToFlush.size
queueSize -= elementsToFlush.length
s2.mutateElements(elementsToFlush)
if (flushSize > 0) {
logger.info(s"flush: $flushSize, $queueSize")
}
case FlushAll =>
s2.mutateElements(queue)
context.stop(self)
case _ => logger.error("unknown protocol")
}
}