spark入门学习（1）---利用akka建立最基础的通信框架

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1、前情导要

首先在学习这个系列之前，scala是必须掌握的基础，由于scala和java的无缝结合以及本身具有的函数编程的思想，所以scala的使用是非常灵活的，但是同时，学好scala也是非常有挑战性的。

2、基础模型图

这里写图片描述
本次简单的实现，就没有用到zk进行集群部署

3、依赖

<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0"         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">    <modelVersion>4.0.0</modelVersion>    <groupId>tianjun.cmcc.org</groupId>    <artifactId>akka-rpc</artifactId>    <version>2.0</version>    <properties>        <maven.compiler.source>1.7</maven.compiler.source>        <maven.compiler.target>1.7</maven.compiler.target>        <encoding>UTF-8</encoding>        <scala.version>2.10.6</scala.version>        <scala.compat.version>2.10</scala.compat.version>    </properties>    <dependencies>        <dependency>            <groupId>org.scala-lang</groupId>            <artifactId>scala-library</artifactId>            <version>${scala.version}</version>        </dependency>        <dependency>            <groupId>com.typesafe.akka</groupId>            <artifactId>akka-actor_2.10</artifactId>            <version>2.3.14</version>        </dependency>        <dependency>            <groupId>com.typesafe.akka</groupId>            <artifactId>akka-remote_2.10</artifactId>            <version>2.3.14</version>        </dependency>    </dependencies>    <build>        <sourceDirectory>src/main/scala</sourceDirectory>        <testSourceDirectory>src/test/scala</testSourceDirectory>        <plugins>            <plugin>                <groupId>net.alchim31.maven</groupId>                <artifactId>scala-maven-plugin</artifactId>                <version>3.2.2</version>                <executions>                    <execution>                        <goals>                            <goal>compile</goal>                            <goal>testCompile</goal>                        </goals>                        <configuration>                            <args>                                <arg>-make:transitive</arg>                                <arg>-dependencyfile</arg>                                <arg>${project.build.directory}/.scala_dependencies</arg>                            </args>                        </configuration>                    </execution>                </executions>            </plugin>            <plugin>                <groupId>org.apache.maven.plugins</groupId>                <artifactId>maven-shade-plugin</artifactId>                <version>2.4.3</version>                <executions>                    <execution>                        <phase>package</phase>                        <goals>                            <goal>shade</goal>                        </goals>                        <configuration>                            <filters>                                <filter>                                    <artifact>*:*</artifact>                                    <excludes>                                        <exclude>META-INF/*.SF</exclude>                                        <exclude>META-INF/*.DSA</exclude>                                        <exclude>META-INF/*.RSA</exclude>                                    </excludes>                                </filter>                            </filters>                            <transformers>                                <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">                                    <resource>reference.conf</resource>                                </transformer>                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">                                    <mainClass>org.tianjun.rpc.Worker</mainClass>                                </transformer>                            </transformers>                        </configuration>                    </execution>                </executions>            </plugin>        </plugins>    </build></project>

4、master部分

package org.tianjun.rpcimport akka.actor.{Props, ActorSystem, Actor}import com.typesafe.config.ConfigFactory/** * 基于akka的rpc * Created by tianjun on 2017/1/11 0011. */class Master extends Actor{  println("constructor invoked!")  override def preStart(): Unit = {    println("preStart invoked!")  }  override def receive: Receive = {    case "connect" => {      println("a client connected")      sender ! "reply"    }    case "hello" => {      println("hello")    }  }}object Master{  def main(args: Array[String]) {    val host = args(0)    val port = args(1).toInt    val configStr =      s"""         |akka.actor.provider = "akka.remote.RemoteActorRefProvider"         |akka.remote.netty.tcp.hostname = "$host"         |akka.remote.netty.tcp.port = "$port"       """.stripMargin    val config = ConfigFactory.parseString(configStr)    //ActorSystem老大，辅助创建和监控actor，它是单例的    val actorSystem = ActorSystem("MasterSystem",config)    val master = actorSystem.actorOf(Props(new Master),"Master")    //master自己给自己发信息    master ! "hello"    actorSystem.awaitTermination()  }}

5、worker部分

package org.tianjun.rpcimport akka.actor.{Props, ActorSystem, ActorSelection, Actor}import com.typesafe.config.ConfigFactory/** * rpc入门 * Created by tianjun on 2017/1/11 0011. */class Worker(val masterHost:String,val masterPort:Int) extends Actor{  var master:ActorSelection = _  override def preStart(): Unit = {    master = context.actorSelection(s"akka.tcp://MasterSystem@$masterHost:$masterPort/user/Master")    master ! "connect"  }  override def receive: Receive = {    case "reply" => {      println("reply from master")    }  }}object Worker{  def main(args: Array[String]) {    val host = args(0)    val port = args(1).toInt    val masterHost=args(2)    val masterPort = args(3).toInt    val configStr =      s"""         |akka.actor.provider = "akka.remote.RemoteActorRefProvider"         |akka.remote.netty.tcp.hostname = "$host"         |akka.remote.netty.tcp.port = "$port"       """.stripMargin    val config = ConfigFactory.parseString(configStr)    //ActorSystem老大，辅助创建和监控actor，它是单例的    val actorSystem = ActorSystem("WorkSystem",config)    actorSystem.actorOf(Props(new Worker(masterHost,masterPort)),"Worker")    actorSystem.awaitTermination()  }}

6、单机运行：
master

[INFO] [01/11/2017 15:33:22.941] [main] [Remoting] Starting remoting[INFO] [01/11/2017 15:33:23.167] [main] [Remoting] Remoting started; listening on addresses :[akka.tcp://MasterSystem@192.168.64.1:8888][INFO] [01/11/2017 15:33:23.168] [main] [Remoting] Remoting now listens on addresses: [akka.tcp://MasterSystem@192.168.64.1:8888]constructor invoked!preStart invoked!helloa client connected

worker

[INFO] [01/11/2017 15:33:26.312] [main] [Remoting] Starting remoting[INFO] [01/11/2017 15:33:26.465] [main] [Remoting] Remoting started; listening on addresses :[akka.tcp://WorkSystem@192.168.64.1:9999][INFO] [01/11/2017 15:33:26.466] [main] [Remoting] Remoting now listens on addresses: [akka.tcp://WorkSystem@192.168.64.1:9999]reply from master

笔者通过改变pom 文件中的MainClass，把master和woker分别丢到两台不通的服务器，也是ok的，这里就可以知道，其实基于akka智商的通信是比较简单的，大家可以比对前面基于netty的rpc就可以知道（akka底层通信也是通过netty来实现的）

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