Akka(9): 分布式运算:Remoting-远程构建式
上篇我们讨论了Akka-Remoting。我们说Akka-Remoting是一种点对点的通讯方式,能使两个不同JVM上Akka-ActorSystem上的两个Actor之间可以相互沟通。Akka-Remoting还没有实现完全的Actor位置透明(location transparency),因为一个Actor还必须在获得对方Actor确切地址信息后才能启动与之沟通过程。Akka-Remoting支持“远程查找”和“远程构建”两种沟通方式。由于篇幅所限,我们只介绍了“远程查找”。在这一篇里我们将会讨论“远程构建”方式。
同样,我们先通过项目结构来分析:
lazy val local = (project in file("."))
.settings(commonSettings)
.settings(
name := "remoteCreateDemo"
).aggregate(calculator,remote).dependsOn(calculator)
lazy val calculator = (project in file("calculator"))
.settings(commonSettings)
.settings(
name := "calculator"
)
lazy val remote = (project in file("remote"))
.settings(commonSettings)
.settings(
name := "remoteSystem"
).aggregate(calculator).dependsOn(calculator)
远程构建的过程大致是这样的:由local通知remote启动构建Actor;remote从本地库中查找Actor的类定义(class)并把它载入内存。由于驱动、使用远程Actor是在local进行的,所以local,remote项目还必须共享Calculator,包括Calculator的功能消息。这项要求我们在.sbt中用aggregate(calculator)来协同编译。
我们把Calculator的监管supervisor也包括在这个源码文件里。现在这个calculator是个包括监管、功能、消息的完整项目了。Calculator源代码如下:
package remoteCreation.calculator import akka.actor._
import scala.concurrent.duration._ object Calcultor {
sealed trait MathOps
case class Num(dnum: Double) extends MathOps
case class Add(dnum: Double) extends MathOps
case class Sub(dnum: Double) extends MathOps
case class Mul(dnum: Double) extends MathOps
case class Div(dnum: Double) extends MathOps sealed trait CalcOps
case object Clear extends CalcOps
case object GetResult extends CalcOps def props = Props(new Calcultor)
def supervisorProps = Props(new SupervisorActor)
} class Calcultor extends Actor with ActorLogging {
import Calcultor._ var result: Double = 0.0 //internal state override def receive: Receive = {
case Num(d) => result = d
case Add(d) => result += d
case Sub(d) => result -= d
case Mul(d) => result *= d
case Div(d) =>
val _ = result.toInt / d.toInt //yield ArithmeticException
result /= d
case Clear => result = 0.0
case GetResult =>
sender() ! s"Result of calculation is: $result"
} override def preRestart(reason: Throwable, message: Option[Any]): Unit = {
log.info(s"Restarting calculator: ${reason.getMessage}")
super.preRestart(reason, message)
}
} class SupervisorActor extends Actor {
def decider: PartialFunction[Throwable,SupervisorStrategy.Directive] = {
case _: ArithmeticException => SupervisorStrategy.Resume
} override def supervisorStrategy: SupervisorStrategy =
OneForOneStrategy(maxNrOfRetries = , withinTimeRange = seconds){
decider.orElse(SupervisorStrategy.defaultDecider)
} val calcActor = context.actorOf(Calcultor.props,"calculator") override def receive: Receive = {
case msg@ _ => calcActor.forward(msg)
} }
与上一个例子的”远程查找式“相同,remote需要为Remoting公开一个端口。我们可以照搬.conf配置文件内容:remote/src/main/resources/application.conf
akka {
actor {
provider = remote
}
remote {
enabled-transports = ["akka.remote.netty.tcp"]
netty.tcp {
hostname = "127.0.0.1"
port =
}
log-sent-messages = on
log-received-messages = on
}
}
由于远程构建和使用是在local上进行的,在remote上我们只需要启动ActorSystem就行了:
import com.typesafe.config.ConfigFactory
import akka.actor._ object CalculatorRunner extends App {
val remoteSystem = ActorSystem("remoteSystem",ConfigFactory.load("application"))
println("Remote system started.") scala.io.StdIn.readLine()
remoteSystem.terminate() }
Calculator的构建是在localSystem上启动的,我们需要在配置文件中描述远程构建标的(还是未能实现位置透明):local/src/main/resources/application.conf
akka {
actor {
provider = remote,
deployment {
"/calculator" {
remote = "akka.tcp://remoteSystem@127.0.0.1:2552"
}
}
}
remote {
netty.tcp {
hostname = "127.0.0.1",
port=
}
}
}
注意:上面这个/calculator设置实际上指的是SupervisorActor。
现在我们可以在local上开始构建calculator,然后使用它来运算了:
import akka.actor._
import remoteCreation.calculator.Calcultor._
import scala.concurrent.duration._
import akka.pattern._ object RemotingCreate extends App {
val localSystem = ActorSystem("localSystem")
val calcActor = localSystem.actorOf(props,
name = "calculator") //created SupervisorActor import localSystem.dispatcher calcActor ! Clear
calcActor ! Num(13.0)
calcActor ! Mul(1.5) implicit val timeout = akka.util.Timeout( second) ((calcActor ? GetResult).mapTo[String]) foreach println
scala.io.StdIn.readLine() calcActor ! Div(0.0)
calcActor ! Div(1.5)
calcActor ! Add(100.0)
((calcActor ? GetResult).mapTo[String]) foreach println scala.io.StdIn.readLine()
localSystem.terminate() }
从代码上看构建calculator(SupervisorActor)过程与普通的Actor构建没分别,所有细节都放在配置文件里了。但是,要注意actorOf的name必须与配置文档中的设置匹配。
试运行结果与上一个例子相同。值得注意的是实际远程构建的是一个SupervisorActor。Calculator的构建是SupervisorActor构建的其中一部分。从运算结果看:这个SupervisorActor也实现了它的功能。
下面是这次示范的源代码:
local/build.sbt
azy val commonSettings = seq (
name := "RemoteCreateDemo",
version := "1.0",
scalaVersion := "2.11.8",
libraryDependencies := Seq(
"com.typesafe.akka" %% "akka-actor" % "2.5.2",
"com.typesafe.akka" %% "akka-remote" % "2.5.2"
)
) lazy val local = (project in file("."))
.settings(commonSettings)
.settings(
name := "remoteCreateDemo"
).aggregate(calculator).dependsOn(calculator) lazy val calculator = (project in file("calculator"))
.settings(commonSettings)
.settings(
name := "calculator"
) lazy val remote = (project in file("remote"))
.settings(commonSettings)
.settings(
name := "remoteSystem"
).aggregate(calculator).dependsOn(calculator)
calculator/calculator.scala
package remoteCreation.calculator import akka.actor._
import scala.concurrent.duration._ object Calcultor {
sealed trait MathOps
case class Num(dnum: Double) extends MathOps
case class Add(dnum: Double) extends MathOps
case class Sub(dnum: Double) extends MathOps
case class Mul(dnum: Double) extends MathOps
case class Div(dnum: Double) extends MathOps sealed trait CalcOps
case object Clear extends CalcOps
case object GetResult extends CalcOps def props = Props(new Calcultor)
def supervisorProps = Props(new SupervisorActor)
} class Calcultor extends Actor with ActorLogging {
import Calcultor._ var result: Double = 0.0 //internal state override def receive: Receive = {
case Num(d) => result = d
case Add(d) => result += d
case Sub(d) => result -= d
case Mul(d) => result *= d
case Div(d) =>
val _ = result.toInt / d.toInt //yield ArithmeticException
result /= d
case Clear => result = 0.0
case GetResult =>
sender() ! s"Result of calculation is: $result"
} override def preRestart(reason: Throwable, message: Option[Any]): Unit = {
log.info(s"Restarting calculator: ${reason.getMessage}")
super.preRestart(reason, message)
}
} class SupervisorActor extends Actor {
def decider: PartialFunction[Throwable,SupervisorStrategy.Directive] = {
case _: ArithmeticException => SupervisorStrategy.Resume
} override def supervisorStrategy: SupervisorStrategy =
OneForOneStrategy(maxNrOfRetries = , withinTimeRange = seconds){
decider.orElse(SupervisorStrategy.defaultDecider)
} val calcActor = context.actorOf(Calcultor.props,"calculator") override def receive: Receive = {
case msg@ _ => calcActor.forward(msg)
} }
remote/src/main/resources/application.conf
akka {
actor {
provider = remote
}
remote {
enabled-transports = ["akka.remote.netty.tcp"]
netty.tcp {
hostname = "127.0.0.1"
port =
}
log-sent-messages = on
log-received-messages = on
}
}
remote/CalculatorRunner.scala
package remoteCreation.remote
import com.typesafe.config.ConfigFactory
import akka.actor._ object CalculatorRunner extends App {
val remoteSystem = ActorSystem("remoteSystem",ConfigFactory.load("application"))
println("Remote system started.") scala.io.StdIn.readLine()
remoteSystem.terminate() }
local/src/main/resources/application.conf
akka {
actor {
provider = remote,
deployment {
"/calculator" {
remote = "akka.tcp://remoteSystem@127.0.0.1:2552"
}
}
}
remote {
netty.tcp {
hostname = "127.0.0.1",
port=
}
}
}
local/RemotingCreation.scala
import akka.actor._
import remoteCreation.calculator.Calcultor._
import scala.concurrent.duration._
import akka.pattern._ object RemotingCreate extends App {
val localSystem = ActorSystem("localSystem")
val calcActor = localSystem.actorOf(props,
name = "calculator") //created SupervisorActor import localSystem.dispatcher calcActor ! Clear
calcActor ! Num(13.0)
calcActor ! Mul(1.5) implicit val timeout = akka.util.Timeout( second) ((calcActor ? GetResult).mapTo[String]) foreach println
scala.io.StdIn.readLine() calcActor ! Div(0.0)
calcActor ! Div(1.5)
calcActor ! Add(100.0)
((calcActor ? GetResult).mapTo[String]) foreach println scala.io.StdIn.readLine()
localSystem.terminate() }
Akka(9): 分布式运算:Remoting-远程构建式的更多相关文章
- Akka(10): 分布式运算:集群-Cluster
Akka-Cluster可以在一部物理机或一组网络连接的服务器上搭建部署.用Akka开发同一版本的分布式程序可以在任何硬件环境中运行,这样我们就可以确定以Akka分布式程序作为标准的编程方式了. 在上 ...
- Akka(13): 分布式运算:Cluster-Sharding-运算的集群分片
通过上篇关于Cluster-Singleton的介绍,我们了解了Akka为分布式程序提供的编程支持:基于消息驱动的运算模式特别适合分布式程序编程,我们不需要特别的努力,只需要按照普通的Actor编程方 ...
- alpakka-kafka(9)-kafka在分布式运算中的应用
kafka具备的分布式.高吞吐.高可用特性,以及所提供的各种消息消费模式可以保证在一个多节点集群环境里消息被消费的安全性:即防止每条消息遗漏处理或重复消费.特别是exactly-once消费策略:可以 ...
- Jenkins 远程构建任务
开发过程中提交代码以后,如何不登录Jenkins就自动触发jenkins 任务来发布软件版本. 1.首先我们创建一个Jenkins任务. 2.选择"构建触发器"->勾选&qu ...
- jenkins构建触发器详解-不登录触发远程构建详解
利用jenkins的远程构建功能,我们可以使用任何脚本,甚至定制一个Web页来控制Job的执行,但是远程构建你如果直接使用的话,老是需要登录才能执行,如何避免登录?稍微折腾了一下,调通了. 1.首先去 ...
- jenkins构建触发器详解-不登录触发远程构建
利用jenkins的远程构建功能,我们可以使用任何脚本,甚至定制一个Web页来控制Job的执行,但是远程构建你如果直接使用的话,老是需要登录才能执行,如何避免登录?稍微折腾了一下,调通了. 1.首先去 ...
- Jenkins进阶-远程构建任务(4)
开发过程中提交代码以后,如何不登录Jenkins就自动触发jenkins 任务来发布软件版本. 1.首先我们创建一个Jenkins任务. 2.选择"构建触发器"->勾选&qu ...
- Linux centos 安装 jenkins & 本地构建jar & 远程构建jar
一.部署 jenkins 需要的前奏 1.安装 JDK:https://www.cnblogs.com/chuyi-/p/10644440.html 2.安装tomcat:https://www.cn ...
- [源码解析] PyTorch 分布式(11) ----- DistributedDataParallel 之 构建Reducer
[源码解析] PyTorch 分布式(11) ----- DistributedDataParallel 之 构建Reducer 目录 [源码解析] PyTorch 分布式(11) ----- Dis ...
随机推荐
- poj1269计算几何直线和直线的关系
We all know that a pair of distinct points on a plane defines a line and that a pair of lines on a p ...
- php中表单提交复选框与下拉列表项
在赶项目中,抽出半个小时来写篇博客吧,这个功能说实话不难,为什么要写呢,因为在复选框那里有小小的难点,我试了好多遍才试成功的,希望能为以后需要帮助的同学提供点思路. 先看一下我做的效果吧 就是给每个业 ...
- 产品经理学Python:条件控制
条件控制其实就是if...else...(如果...条件是成立的,就做...:反之,就做...)的使用,其基本结构是: 具体看下面这个例子: def account_login(): # 定义函数 p ...
- 解决css引用图片不显示问题:background-image: url(../image/document.png);
.icon-document { background-image: url(../image/document.png); display:block; float: left; width: 25 ...
- 学习笔记:javascript内置对象:字符串对象
1.字符串的创建 var str = "Hello Microsoft!"; 2.字符串属性 constructor 返回创建字符串属性的函数 length ...
- NancyFx 2.0的开源框架的使用-Stateless(二)
继续上一篇Stateless的博文,在上一篇的博文的基础上稍微加点东西 接下来右键解决方案添加新项目,一样建一个空的Web项目 然后在StatelessDemoWeb项目里面添加Views文件夹,Sc ...
- Ubuntu16.04 安装flash player
sudo apt-get install browser-plugin-freshplayer-pepperflash
- Log4j2 — Log4j2导入、LogEvent、配置文件编写及路径
1. Log4j2的导入 首先到http://logging.apache.org/log4j/2.x/download.html 上下载最新的log4j2的jar包,然后再eclipse中加入log ...
- ArrayList源码解析(四)
这篇文章主要看ArrayList的Iterator和ListIterator的实现. 1.Iterator和类Itr 当我们调用iterator方法时返回一个Iterator. /** * Retur ...
- (数字IC)低功耗设计入门(六)——门级电路低功耗设计优化
三.门级电路低功耗设计优化 (1)门级电路的功耗优化综述 门级电路的功耗优化(Gate Level Power Optimization,简称GLPO)是从已经映射的门级网表开始,对设计进行功耗的优化 ...