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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 scala.collection.JavaConverters._
import akka.actor.{ActorSystem, ExtendedActorSystem}
import com.typesafe.config.ConfigFactory
import org.apache.log4j.{Level, Logger}
import org.apache.spark.{Logging, SecurityManager, SparkConf}
/**
* Various utility classes for working with Akka.
*/
private[spark] object AkkaUtils extends Logging {
/**
* 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,
conf: SparkConf,
securityManager: SecurityManager): (ActorSystem, Int) = {
val startService: Int => (ActorSystem, Int) = { actualPort =>
doCreateActorSystem(name, host, actualPort, conf, securityManager)
}
Utils.startServiceOnPort(port, startService, conf, name)
}
private def doCreateActorSystem(
name: String,
host: String,
port: Int,
conf: SparkConf,
securityManager: SecurityManager): (ActorSystem, Int) = {
val akkaThreads = conf.getInt("spark.akka.threads", 4)
val akkaBatchSize = conf.getInt("spark.akka.batchSize", 15)
val akkaTimeoutS = conf.getTimeAsSeconds("spark.akka.timeout",
conf.get("spark.network.timeout", "120s"))
val akkaFrameSize = maxFrameSizeBytes(conf)
val akkaLogLifecycleEvents = conf.getBoolean("spark.akka.logLifecycleEvents", false)
val lifecycleEvents = if (akkaLogLifecycleEvents) "on" else "off"
if (!akkaLogLifecycleEvents) {
// As a workaround for Akka issue #3787, we coerce the "EndpointWriter" log to be silent.
// See: https://www.assembla.com/spaces/akka/tickets/3787#/
Option(Logger.getLogger("akka.remote.EndpointWriter")).map(l => l.setLevel(Level.FATAL))
}
val logAkkaConfig = if (conf.getBoolean("spark.akka.logAkkaConfig", false)) "on" else "off"
val akkaHeartBeatPausesS = conf.getTimeAsSeconds("spark.akka.heartbeat.pauses", "6000s")
val akkaHeartBeatIntervalS = conf.getTimeAsSeconds("spark.akka.heartbeat.interval", "1000s")
val secretKey = securityManager.getSecretKey()
val isAuthOn = securityManager.isAuthenticationEnabled()
if (isAuthOn && secretKey == null) {
throw new Exception("Secret key is null with authentication on")
}
val requireCookie = if (isAuthOn) "on" else "off"
val secureCookie = if (isAuthOn) secretKey else ""
logDebug(s"In createActorSystem, requireCookie is: $requireCookie")
val akkaSslConfig = securityManager.getSSLOptions("akka").createAkkaConfig
.getOrElse(ConfigFactory.empty())
val akkaConf = ConfigFactory.parseMap(conf.getAkkaConf.toMap.asJava)
.withFallback(akkaSslConfig).withFallback(ConfigFactory.parseString(
s"""
|akka.daemonic = on
|akka.loggers = [""akka.event.slf4j.Slf4jLogger""]
|akka.stdout-loglevel = "ERROR"
|akka.jvm-exit-on-fatal-error = off
|akka.remote.require-cookie = "$requireCookie"
|akka.remote.secure-cookie = "$secureCookie"
|akka.remote.transport-failure-detector.heartbeat-interval = $akkaHeartBeatIntervalS s
|akka.remote.transport-failure-detector.acceptable-heartbeat-pause = $akkaHeartBeatPausesS s
|akka.actor.provider = "akka.remote.RemoteActorRefProvider"
|akka.remote.netty.tcp.transport-class = "akka.remote.transport.netty.NettyTransport"
|akka.remote.netty.tcp.hostname = "$host"
|akka.remote.netty.tcp.port = $port
|akka.remote.netty.tcp.tcp-nodelay = on
|akka.remote.netty.tcp.connection-timeout = $akkaTimeoutS s
|akka.remote.netty.tcp.maximum-frame-size = ${akkaFrameSize}B
|akka.remote.netty.tcp.execution-pool-size = $akkaThreads
|akka.actor.default-dispatcher.throughput = $akkaBatchSize
|akka.log-config-on-start = $logAkkaConfig
|akka.remote.log-remote-lifecycle-events = $lifecycleEvents
|akka.log-dead-letters = $lifecycleEvents
|akka.log-dead-letters-during-shutdown = $lifecycleEvents
""".stripMargin))
val actorSystem = ActorSystem(name, akkaConf)
val provider = actorSystem.asInstanceOf[ExtendedActorSystem].provider
val boundPort = provider.getDefaultAddress.port.get
(actorSystem, boundPort)
}
private val AKKA_MAX_FRAME_SIZE_IN_MB = Int.MaxValue / 1024 / 1024
/** Returns the configured max frame size for Akka messages in bytes. */
def maxFrameSizeBytes(conf: SparkConf): Int = {
val frameSizeInMB = conf.getInt("spark.akka.frameSize", 128)
if (frameSizeInMB > AKKA_MAX_FRAME_SIZE_IN_MB) {
throw new IllegalArgumentException(
s"spark.akka.frameSize should not be greater than $AKKA_MAX_FRAME_SIZE_IN_MB MB")
}
frameSizeInMB * 1024 * 1024
}
/** Space reserved for extra data in an Akka message besides serialized task or task result. */
val reservedSizeBytes = 200 * 1024
}
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