akka框架:(十四)akka分布式实战

转载:https://blog.csdn.net/liubenlong007/article/details/54603296

上一篇文章介绍了akka集群的搭建,现在假如服务的生产者与消费者两个角色,模拟真实的服务调用。
本篇文章主要参考 使用Akka构建集群(二)

整体架构

服务端三个服务,端口为2552,2553,2551;客户端有两个:2554,2555
服务端角色为[server];客户端角色为[client]

服务端

集群角色

首先配置服务端集群角色为[server]:

akka {
  loglevel = "INFO"

  actor {
      provider = "akka.cluster.ClusterActorRefProvider"
    }
    remote {
      log-remote-lifecycle-events = off
      netty.tcp {
        hostname = "127.0.0.1"
        port = 2551
      }
    }

    cluster {
      seed-nodes = [
        "akka.tcp://[email protected]:2551",
        "akka.tcp://[email protected]:2552"]

      #//#snippet
      # excluded from snippet
      auto-down-unreachable-after = 10s
      #//#snippet
      # auto downing is NOT safe for production deployments.
      # you may want to use it during development, read more about it in the docs.
      #
      auto-down-unreachable-after = 10s

      roles = [server]
      # Disable legacy metrics in akka-cluster.
      metrics.enabled=off
    }
}

# 持久化相关
akka.persistence.journal.plugin = "akka.persistence.journal.inmem"
# Absolute path to the default snapshot store plugin configuration entry.
akka.persistence.snapshot-store.plugin = "akka.persistence.snapshot-store.local"
   
   
   
   
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定义通讯的数据结构

实际开发过程中,可以将该数据结构作为单独的接口供服务端和客户端引用。

package akka.myCluster;

import java.io.Serializable;

public class TransformationMessages {

    /**
     * 传递的数据(参数)
     */
    public static class TransformationJob implements Serializable {
        private final String text;  

        public TransformationJob(String text) {  
            this.text = text;  
        }  

        public String getText() {  
            return text;  
        }  
    }

    /**
     * 返回结果
     */
    public static class TransformationResult implements Serializable {  
        private final String text;  

        public TransformationResult(String text) {  
            this.text = text;  
        }  

        public String getText() {  
            return text;  
        }  

        @Override  
        public String toString() {  
            return "TransformationResult(" + text + ")";  
        }  
    }

    /**
     * 异常处理
     */
    public static class JobFailed implements Serializable {  
        private final String reason;  
        private final TransformationJob job;  

        public JobFailed(String reason, TransformationJob job) {  
            this.reason = reason;  
            this.job = job;  
        }  

        public String getReason() {  
            return reason;  
        }  

        public TransformationJob getJob() {  
            return job;  
        }  

        @Override  
        public String toString() {  
            return "JobFailed(" + reason + ")";  
        }  
    }  

    /**
     * 用于服务端向客户端注册
     */
    public static final int BACKEND_REGISTRATION = 1;

}  
   
   
   
   
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真正服务端业务逻辑处理代码:简单讲收到的字符串转为大写返回

package akka.myCluster;

import akka.actor.ActorSystem;
import akka.actor.Props;
import akka.actor.UntypedActor;
import akka.cluster.Cluster;
import akka.cluster.ClusterEvent;
import akka.cluster.Member;
import akka.cluster.MemberStatus;
import akka.event.Logging;
import akka.event.LoggingAdapter;
import com.typesafe.config.ConfigFactory;

import static akka.myCluster.TransformationMessages.BACKEND_REGISTRATION;

public class MyAkkaClusterServer extends UntypedActor {

    LoggingAdapter logger = Logging.getLogger(getContext().system(), this);

    Cluster cluster = Cluster.get(getContext().system());

    // subscribe to cluster changes  
    @Override  
    public void preStart() {  
        // #subscribe  
        cluster.subscribe(getSelf(), ClusterEvent.MemberUp.class);
        // #subscribe  
    }  

    // re-subscribe when restart  
    @Override  
    public void postStop() {  
        cluster.unsubscribe(getSelf());  
    }  

    @Override  
    public void onReceive(Object message) {
        if (message instanceof TransformationMessages.TransformationJob) {
            TransformationMessages.TransformationJob job = (TransformationMessages.TransformationJob) message;
            logger.info(job.getText());
            getSender().tell(new TransformationMessages.TransformationResult(job.getText().toUpperCase()), getSelf());

        } else if (message instanceof ClusterEvent.CurrentClusterState) {
            /**
             * 当前节点在刚刚加入集群时,会收到CurrentClusterState消息,从中可以解析出集群中的所有前端节点(即roles为frontend的),并向其发送BACKEND_REGISTRATION消息,用于注册自己
             */
            ClusterEvent.CurrentClusterState state = (ClusterEvent.CurrentClusterState) message;
            for (Member member : state.getMembers()) {
                if (member.status().equals(MemberStatus.up())) {
                    register(member);
                }
            }

        } else if (message instanceof ClusterEvent.MemberUp) {
            /**
             * 有新的节点加入
             */
            ClusterEvent.MemberUp mUp = (ClusterEvent.MemberUp) message;
            register(mUp.member());

        } else {
            unhandled(message);
        }

    }

    /**
     * 如果是客户端角色,则像客户端注册自己的信息。客户端收到消息以后会讲这个服务端存到本机服务列表中
     * @param member
     */
    void register(Member member) {
        if (member.hasRole("client"))
            getContext().actorSelection(member.address() + "/user/myAkkaClusterClient").tell(BACKEND_REGISTRATION, getSelf());
    }

    public static void main(String [] args){
        System.out.println("Start MyAkkaClusterServer");
        ActorSystem system = ActorSystem.create("akkaClusterTest", ConfigFactory.load("reference.conf"));
        system.actorOf(Props.create(MyAkkaClusterServer.class), "myAkkaClusterServer");
        System.out.println("Started MyAkkaClusterServer");

    }
}
   
   
   
   
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如何保证服务发现与维护

上面代码已经有注释了,有2点:
- 有新节点加入时,如果是客户端角色,则像客户端注册自己的信息。客户端收到消息以后会讲这个服务端存到本机服务列表中
- 服务端当前节点在刚刚加入集群时,会收到CurrentClusterState消息,从中可以解析出集群中的所有前端节点(即roles为frontend的),并向其发送BACKEND_REGISTRATION消息,用于注册自己

客户端

修改客户端roles为client

akka {
  loglevel = "INFO"

  actor {
      provider = "akka.cluster.ClusterActorRefProvider"
    }
    remote {
      log-remote-lifecycle-events = off
      netty.tcp {
        hostname = "127.0.0.1"
        port = 2554
      }
    }

    cluster {
      seed-nodes = [
        "akka.tcp://[email protected]:2551",
        "akka.tcp://[email protected]:2552"]

      #//#snippet
      # excluded from snippet
      auto-down-unreachable-after = 10s
      #//#snippet
      # auto downing is NOT safe for production deployments.
      # you may want to use it during development, read more about it in the docs.
      #
      auto-down-unreachable-after = 10s

    roles = [client]
      # Disable legacy metrics in akka-cluster.
      metrics.enabled=off
    }
}

# 持久化相关
akka.persistence.journal.plugin = "akka.persistence.journal.inmem"
# Absolute path to the default snapshot store plugin configuration entry.
akka.persistence.snapshot-store.plugin = "akka.persistence.snapshot-store.local"
   
   
   
   
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客户端代码

package akka.myCluster;

import akka.actor.*;
import akka.dispatch.OnSuccess;
import akka.util.Timeout;
import com.typesafe.config.ConfigFactory;
import scala.concurrent.ExecutionContext;
import scala.concurrent.duration.Duration;
import scala.concurrent.duration.FiniteDuration;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import static akka.myCluster.TransformationMessages.BACKEND_REGISTRATION;
import static akka.pattern.Patterns.ask;

public class MyAkkaClusterClient extends UntypedActor {

    List backends = new ArrayList();
    int jobCounter = 0;

    @Override
    public void onReceive(Object message) {
        if ((message instanceof TransformationMessages.TransformationJob) && backends.isEmpty()) {//无服务提供者
            TransformationMessages.TransformationJob job = (TransformationMessages.TransformationJob) message;
            getSender().tell(
                    new TransformationMessages.JobFailed("Service unavailable, try again later", job),
                    getSender());

        } else if (message instanceof TransformationMessages.TransformationJob) {
            TransformationMessages.TransformationJob job = (TransformationMessages.TransformationJob) message;
            /**
             * 这里在客户端业务代码里进行负载均衡操作。实际业务中可以提供多种负载均衡策略,并且也可以做分流限流等各种控制。
             */
            jobCounter++;
            backends.get(jobCounter % backends.size())
                    .forward(job, getContext());

        } else if (message == BACKEND_REGISTRATION) {
            /**
             * 注册服务提供者
             */
            getContext().watch(getSender());//这里对服务提供者进行watch
            backends.add(getSender());

        } else if (message instanceof Terminated) {
            /**
             * 移除服务提供者
             */
            Terminated terminated = (Terminated) message;
            backends.remove(terminated.getActor());

        } else {
            unhandled(message);
        }
    }

    public static void main(String [] args){
        System.out.println("Start myAkkaClusterClient");
        ActorSystem actorSystem = ActorSystem.create("akkaClusterTest", ConfigFactory.load("reference.conf"));
        final ActorRef myAkkaClusterClient = actorSystem.actorOf(Props.create(MyAkkaClusterClient.class), "myAkkaClusterClient");
        System.out.println("Started myAkkaClusterClient");

        final FiniteDuration interval = Duration.create(2, TimeUnit.SECONDS);
        final Timeout timeout = new Timeout(Duration.create(5, TimeUnit.SECONDS));
        final ExecutionContext ec = actorSystem.dispatcher();
        final AtomicInteger counter = new AtomicInteger();

        actorSystem.scheduler().schedule(interval, interval, new Runnable() {
            public void run() {
                ask(myAkkaClusterClient, new TransformationMessages.TransformationJob("hello-" + counter.incrementAndGet()), timeout)
                        .onSuccess(new OnSuccess() {
                            public void onSuccess(Object result) {
                                System.out.println(result.toString());
                            }
                        }, ec);
            }
        }, ec);

    }
}
   
   
   
   
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可以看到TransformationFrontend处理的消息分为以下三种:

  • BACKEND_REGISTRATION:收到此消息说明有服务端通知客户端,TransformationFrontend首先将服务端的ActorRef加入backends列表,然后对服务端的ActorRef添加监管;
  • Terminated:由于TransformationFrontend对服务端的ActorRef添加了监管,所以当服务端进程奔溃或者重启时,将收到Terminated消息,此时TransformationFrontend将此服务端的ActorRef从backends列表中移除;
  • TransformationJob:此消息说明有新的转换任务需要TransformationFrontend处理,处理分两种情况:
    • backends列表为空,则向发送此任务的发送者返回JobFailed消息,并告知“目前没有服务端可用,请稍后再试”;
    • backends列表不为空,则通过取模运算选出一个服务端,将TransformationJob转发给服务端进一步处理;

运行结果

启动3个服务端,2个客户端

服务端2551输出:

[INFO] [01/18/2017 17:01:57.167] [akkaClusterTest-akka.actor.default-dispatcher-20] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-4
[INFO] [01/18/2017 17:02:02.438] [akkaClusterTest-akka.actor.default-dispatcher-20] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-4
[INFO] [01/18/2017 17:02:03.124] [akkaClusterTest-akka.actor.default-dispatcher-3] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-7
[INFO] [01/18/2017 17:02:08.416] [akkaClusterTest-akka.actor.default-dispatcher-20] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-7
[INFO] [01/18/2017 17:02:09.137] [akkaClusterTest-akka.actor.default-dispatcher-18] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-10
[INFO] [01/18/2017 17:02:14.414] [akkaClusterTest-akka.actor.default-dispatcher-17] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-10
[WARN] [01/18/2017 17:02:15.104] [akkaClusterTest-akka.remote.default-remote-dispatcher-6] 
[INFO] [01/18/2017 17:02:15.204] [akkaClusterTest-akka.actor.default-dispatcher-17] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-13
   
   
   
   
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服务端2552输出:

[INFO] [01/18/2017 17:01:53.178] [akkaClusterTest-akka.actor.default-dispatcher-5] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-2
[INFO] [01/18/2017 17:01:59.125] [akkaClusterTest-akka.actor.default-dispatcher-22] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-5
[INFO] [01/18/2017 17:02:00.433] [akkaClusterTest-akka.actor.default-dispatcher-17] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-3
[INFO] [01/18/2017 17:02:05.126] [akkaClusterTest-akka.actor.default-dispatcher-6] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-8
[INFO] [01/18/2017 17:02:06.427] [akkaClusterTest-akka.actor.default-dispatcher-17] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-6
[INFO] [01/18/2017 17:02:11.130] [akkaClusterTest-akka.actor.default-dispatcher-5] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-11
[INFO] [01/18/2017 17:02:12.420] [akkaClusterTest-akka.actor.default-dispatcher-17] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-9
[WARN] [01/18/2017 17:02:15.053] [akkaClusterTest-akka.remote.default-remote-dispatcher-7] 
[INFO] [01/18/2017 17:02:17.123] [akkaClusterTest-akka.actor.default-dispatcher-16] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-14

   
   
   
   
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服务端2553输出:

[INFO] [01/18/2017 17:01:55.144] [akkaClusterTest-akka.actor.default-dispatcher-20] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-3
[INFO] [01/18/2017 17:01:58.428] [akkaClusterTest-akka.actor.default-dispatcher-4] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-2
[INFO] [01/18/2017 17:02:01.130] [akkaClusterTest-akka.actor.default-dispatcher-16] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-6
[INFO] [01/18/2017 17:02:04.413] [akkaClusterTest-akka.actor.default-dispatcher-16] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-5
[INFO] [01/18/2017 17:02:07.141] [akkaClusterTest-akka.actor.default-dispatcher-5] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-9
[INFO] [01/18/2017 17:02:10.413] [akkaClusterTest-akka.actor.default-dispatcher-18] [akka://akkaClusterTest/user/myAkkaClusterServer] hello.2555-8
[INFO] [01/18/2017 17:02:13.128] [akkaClusterTest-akka.actor.default-dispatcher-18] [akka://akkaClusterTest/user/myAkkaClusterServer] hello-12
   
   
   
   
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客户端2554输出

JobFailed(Service unavailable, try again later)
TransformationResult(HELLO-2)
TransformationResult(HELLO-3)
TransformationResult(HELLO-4)
TransformationResult(HELLO-5)
TransformationResult(HELLO-6)
TransformationResult(HELLO-7)
TransformationResult(HELLO-8)
TransformationResult(HELLO-9)
TransformationResult(HELLO-10)
TransformationResult(HELLO-11)
TransformationResult(HELLO-12)
   
   
   
   
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客户端2555输出

JobFailed(Service unavailable, try again later)
TransformationResult(HELLO.2555-2)
TransformationResult(HELLO.2555-3)
TransformationResult(HELLO.2555-4)
TransformationResult(HELLO.2555-5)
TransformationResult(HELLO.2555-6)
TransformationResult(HELLO.2555-7)
TransformationResult(HELLO.2555-8)
TransformationResult(HELLO.2555-9)
TransformationResult(HELLO.2555-10)
   
   
   
   
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可以发现,客户端发送的消息被服务端正确消费,并且进行了负载均衡。不过上面第一条消息由于客户端节点刚开始处理消息时,backends列表里还没有缓存好任何backend的ActorRef,所以报错JobFailed(Service unavailable, try again later)

总结

与thrift一样,使用akka需要自己进行服务的发现治理工作。但是著名的spark都完全依赖akka,所以我们在工作中是可以使用akka的。当然akka的一些概念比较困难,学习路线比较长,所以想要学会也需要一些时日,必须经过深入学习实战才可。

参考资料

  • 书籍《java高并发程序设计》
  • AKKA官方文档

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