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/*
* 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.spark.util
import akka.actor.{ActorSystem, ExtendedActorSystem, IndestructibleActorSystem}
import com.typesafe.config.ConfigFactory
/**
* Various utility classes for working with Akka.
*/
private[spark] object AkkaUtils {
/**
* Creates an ActorSystem ready for remoting, with various Spark features. Returns both the
* ActorSystem itself and its port (which is hard to get from Akka).
*
* Note: the `name` parameter is important, as even if a client sends a message to right
* host + port, if the system name is incorrect, Akka will drop the message.
*
* If indestructible is set to true, the Actor System will continue running in the event
* of a fatal exception. This is used by [[org.apache.spark.executor.Executor]].
*/
def createActorSystem(name: String, host: String, port: Int, indestructible: Boolean = false)
: (ActorSystem, Int) = {
val akkaThreads = System.getProperty("spark.akka.threads", "4").toInt
val akkaBatchSize = System.getProperty("spark.akka.batchSize", "15").toInt
val akkaTimeout = System.getProperty("spark.akka.timeout", "100").toInt
val akkaFrameSize = System.getProperty("spark.akka.frameSize", "10").toInt
val lifecycleEvents =
if (System.getProperty("spark.akka.logLifecycleEvents", "false").toBoolean) "on" else "off"
val akkaHeartBeatPauses = System.getProperty("spark.akka.heartbeat.pauses", "600").toInt
val akkaFailureDetector =
System.getProperty("spark.akka.failure-detector.threshold", "300.0").toDouble
val akkaHeartBeatInterval = System.getProperty("spark.akka.heartbeat.interval", "1000").toInt
val akkaConf = ConfigFactory.parseString(
s"""
|akka.daemonic = on
|akka.loggers = [""akka.event.slf4j.Slf4jLogger""]
|akka.stdout-loglevel = "ERROR"
|akka.jvm-exit-on-fatal-error = off
|akka.remote.transport-failure-detector.heartbeat-interval = $akkaHeartBeatInterval s
|akka.remote.transport-failure-detector.acceptable-heartbeat-pause = $akkaHeartBeatPauses s
|akka.remote.transport-failure-detector.threshold = $akkaFailureDetector
|akka.actor.provider = "akka.remote.RemoteActorRefProvider"
|akka.remote.netty.tcp.transport-class = "akka.remote.transport.netty.NettyTransport"
|akka.remote.netty.tcp.hostname = "$host"
|akka.remote.netty.tcp.port = $port
|akka.remote.netty.tcp.tcp-nodelay = on
|akka.remote.netty.tcp.connection-timeout = $akkaTimeout s
|akka.remote.netty.tcp.maximum-frame-size = ${akkaFrameSize}MiB
|akka.remote.netty.tcp.execution-pool-size = $akkaThreads
|akka.actor.default-dispatcher.throughput = $akkaBatchSize
|akka.remote.log-remote-lifecycle-events = $lifecycleEvents
""".stripMargin)
val actorSystem = if (indestructible) {
IndestructibleActorSystem(name, akkaConf)
} else {
ActorSystem(name, akkaConf)
}
val provider = actorSystem.asInstanceOf[ExtendedActorSystem].provider
val boundPort = provider.getDefaultAddress.port.get
(actorSystem, boundPort)
}
}
|
