1.写在前面
前面已经写过akka的很多文章了,具体如下:
今天主要讲一下如何在一个akka集群环境中提交任务并在集群中执行
2.代码工程
pom.xml
<?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">
<parent>
<artifactId>springboot-demo</artifactId>
<groupId>com.et</groupId>
<version>1.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>akka</artifactId>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-autoconfigure</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.typesafe.akka</groupId>
<artifactId>akka-actor_2.13</artifactId>
<version>2.6.0</version>
</dependency>
<!-- Akka Streams -->
<dependency>
<groupId>com.typesafe.akka</groupId>
<artifactId>akka-stream_2.13</artifactId>
<version>2.6.0</version>
</dependency>
<!-- Akka Actor dependency -->
<dependency>
<groupId>com.typesafe.akka</groupId>
<artifactId>akka-actor-typed_2.13</artifactId>
<version>2.6.0</version>
</dependency>
<!-- Akka Remote dependency -->
<dependency>
<groupId>com.typesafe.akka</groupId>
<artifactId>akka-remote_2.13</artifactId>
<version>2.6.0</version>
</dependency>
<!-- Akka Cluster dependency -->
<dependency>
<groupId>com.typesafe.akka</groupId>
<artifactId>akka-cluster-typed_2.13</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
</dependencies>
</project>
MasterActor
- 作用:
MasterActor
是系统中的主控制器或协调者。它负责管理和分配任务,监控工作进度,以及处理系统的全局状态。
- 功能:
- 任务分配:接收任务请求并将这些任务分发给工作节点(
WorkActor
)。
- 协调工作:协调多个
WorkActor
的工作,确保任务按预期执行。
- 结果汇总:汇总来自
WorkActor
的结果,可能还会对结果进行处理或存储。
- 监控与容错:监控
WorkActor
的状态,处理异常情况,进行故障恢复等。
package com.et.akka.cluster;
import akka.actor.AbstractActor;
import akka.actor.Props;
import akka.actor.ActorRef;
import akka.event.Logging;
import akka.event.LoggingAdapter;
import java.util.HashMap;
import java.util.Map;
public class MasterActor extends AbstractActor {
private final LoggingAdapter log = Logging.getLogger(getContext().getSystem(), this);
private final ActorRef workerRouter;
// Constructor to initialize the worker router
public MasterActor(ActorRef workerRouter) {
this.workerRouter = workerRouter;
}
public static Props props(ActorRef workerRouter) {
return Props.create(MasterActor.class, workerRouter);
}
@Override
public Receive createReceive() {
return receiveBuilder()
.match(TaskMessage.class, msg -> {
log.info("Received task message: {}", msg.task);
workerRouter.tell(msg, getSelf()); // Forward task to worker router
})
.build();
}
}
WorkerRouterActor
- 作用:
WorkerRouterActor
是一个路由器,负责将任务分发给多个 WorkActor
实例。它通常用于负载均衡和高效地管理工作负载。
- 功能:
- 任务路由:根据路由策略将任务分发给一个或多个
WorkActor
实例。常见的路由策略包括轮询、随机、最少工作量等。
- 负载均衡:确保工作负载在所有
WorkActor
实例中均匀分布。
- 动态调整:可以根据系统负载动态调整
WorkActor
的数量,进行扩展或收缩。
package com.et.akka.cluster;
import akka.actor.AbstractActor;
import akka.actor.ActorRef;
import akka.actor.Props;
import akka.actor.Terminated;
import akka.routing.RoundRobinPool;
import akka.routing.Router;
public class WorkerRouterActor extends AbstractActor {
private final ActorRef router;
public WorkerRouterActor(int numberOfWorkers) {
this.router = getContext().actorOf(new RoundRobinPool(numberOfWorkers).props(WorkerActor.props()), "workerRouter");
}
@Override
public Receive createReceive() {
return receiveBuilder()
.match(TaskMessage.class, msg -> router.tell(msg, getSelf()))
.match(Terminated.class, t -> getContext().stop(getSelf()))
.build();
}
public static Props props(int numberOfWorkers) {
return Props.create(WorkerRouterActor.class, numberOfWorkers);
}
}
WorkActor
- 作用:
WorkActor
是实际执行任务的工作单元。它负责处理具体的工作负载,并返回结果给 MasterActor
或通过 WorkerRouterActor
进行汇总。
- 功能:
- 执行任务:接收任务并执行相关操作,如计算、数据处理等。
- 报告结果:完成任务后,将结果发送回
MasterActor
或其他负责汇总结果的组件。
- 错误处理:处理任务执行过程中可能出现的错误或异常情况。
package com.et.akka.cluster;
import akka.actor.AbstractActor;
import akka.actor.Props;
import akka.event.Logging;
import akka.event.LoggingAdapter;
public class WorkerActor extends AbstractActor {
private final LoggingAdapter log = Logging.getLogger(getContext().getSystem(), this);
public static Props props() {
return Props.create(WorkerActor.class);
}
@Override
public Receive createReceive() {
return receiveBuilder()
.match(TaskMessage.class, msg -> {
log.info("Processing task: {}", msg.task);
// Simulate task processing
Thread.sleep(1000);
log.info("Task completed: {}", msg.task);
})
.build();
}
}
ClusterApp2
package com.et.akka.cluster;
import akka.actor.ActorRef;
import akka.actor.ActorSystem;
import akka.cluster.Cluster;
import com.typesafe.config.Config;
import com.typesafe.config.ConfigFactory;
public class ClusterApp2 {
public static void main(String[] args) {
// Load configuration
Config config = ConfigFactory.load();
ActorSystem system = ActorSystem.create("ClusterSystem", config);
// Create WorkerRouterActor with 5 workers
ActorRef workerRouter = system.actorOf(WorkerRouterActor.props(5), "workerRouter");
// Create MasterActor
ActorRef masterActor = system.actorOf(MasterActor.props(workerRouter), "masterActor");
// Log cluster membership
Cluster cluster = Cluster.get(system);
System.out.println("Cluster initialized with self member: " + cluster.selfAddress());
// Submit tasks
masterActor.tell(new TaskMessage("Task 1"), ActorRef.noSender());
masterActor.tell(new TaskMessage("Task 2"), ActorRef.noSender());
masterActor.tell(new TaskMessage("Task 3"), ActorRef.noSender());
// Keep system alive for demonstration purposes
try {
Thread.sleep(5000);
} catch (InterruptedException e) {
e.printStackTrace();
}
system.terminate();
}
}
3.测试
启动ClusterApp2类之中的main方法,查看日志,发现任务执行成功
Cluster initialized with self member: akka://ClusterSystem@127.0.0.1:2551
22:03:04.948 [ClusterSystem-akka.actor.default-dispatcher-15] INFO com.et.akka.cluster.MasterActor - Received task message: Task 1
22:03:04.949 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Processing task: Task 1
22:03:04.949 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.MasterActor - Received task message: Task 2
22:03:04.949 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.MasterActor - Received task message: Task 3
22:03:04.950 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Processing task: Task 2
22:03:04.950 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Processing task: Task 3
22:03:05.951 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Task completed: Task 3
22:03:05.952 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Task completed: Task 2
22:03:05.952 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.et.akka.cluster.WorkerActor - Task completed: Task 1
4.引用