状态机就是状态转移图。
关于状态机的一个极度确切的描述是它是一个有向图形,由一组节点和一组相应的转移函数组成。状态机通过响应一系列事件而“运行”。每个事件都在属于“当前” 节点的转移函数的控制范围内,其中函数的范围是节点的一个子集。函数返回“下一个”(也许是同一个)节点。这些节点中至少有一个必须是终态。当到达终态, 状态机停止。
状态机可归纳为4个要素,即现态、条件、动作、次态。这样的归纳,主要是出于对状态机的内在因果关系的考虑。“现态”和“条件”是因,“动作”和“次态”是果。
我们定义一个jobEvent
public class JobEvent extends AbstractEvent<JobEventType> { private String jobID; public JobEvent(JobEventType type,String jobID) { super(type); this.jobID=jobID; } public String getJobID() { return jobID; } }
JobEventType:
package org.apache.hadoop.state; public enum JobEventType { JOB_KILL, JOB_INIT, JOB_START, JOB_SETUP_COMPLETED, JOB_COMPLETED }
作业内部状态JobStateInternal:
package org.apache.hadoop.state; /** * 定义作业内部状态 * @author joqk * */ public enum JobStateInternal { NEW, SETUP, INITED, RUNNING, SUCCEEDED, KILLED, }
作业状态机JobStateMachine:
package org.apache.hadoop.state; import java.util.concurrent.locks.Lock; import java.util.concurrent.locks.ReadWriteLock; import java.util.concurrent.locks.ReentrantReadWriteLock; import org.apache.hadoop.event.JobEvent; import org.apache.hadoop.yarn.event.EventHandler; import org.apache.hadoop.yarn.state.SingleArcTransition; import org.apache.hadoop.yarn.state.StateMachine; import org.apache.hadoop.yarn.state.StateMachineFactory; public class JobStateMachine implements EventHandler<JobEvent> { private String jobID; private EventHandler eventHandler; private Lock writeLock=null; private Lock readLock=null; private StateMachine<JobStateInternal,JobEventType,JobEvent> stateMacthie; protected static final StateMachineFactory<JobStateMachine,JobStateInternal,JobEventType,JobEvent> stateMachineFactory = new StateMachineFactory<JobStateMachine,JobStateInternal,JobEventType,JobEvent>(JobStateInternal.NEW) .addTransition(JobStateInternal.NEW, JobStateInternal.INITED, JobEventType.JOB_INIT,new InitTranstion()) .addTransition(JobStateInternal.INITED, JobStateInternal.SETUP, JobEventType.JOB_START,new StartTransition()) .installTopology(); public static class InitTranstion implements SingleArcTransition<JobStateMachine, JobEvent>{ @Override public void transition(JobStateMachine job, JobEvent event) { System.out.println("receiving event "+event); // job.eventHandler.handle(new JobEvent(JobEventType.JOB_START,job.jobID)); job.eventHandler.handle(new JobEvent(org.apache.hadoop.event.JobEventType.JOB_START, job.jobID)); } } public static class StartTransition implements SingleArcTransition<JobStateMachine, JobEvent>{ @Override public void transition(JobStateMachine job, JobEvent event) { System.out.println("receiving event "+event); // job.eventHandler.handle(new JobEvent(JobEventType.JOB_START,job.jobID)); // job.eventHandler.handle(new JobEvent(JobEventType.JOB_SETUP_COMPLETED, job.jobID)); } } public JobStateMachine(String jobID,EventHandler eventHandler){ this.jobID = jobID; ReadWriteLock readWriteLock = new ReentrantReadWriteLock(); this.readLock = readWriteLock.readLock(); this.writeLock = readWriteLock.writeLock(); this.eventHandler =eventHandler; stateMacthie = stateMachineFactory.make(this); } /** * 得到当前状态机 * @return */ protected StateMachine<JobStateInternal,JobEventType,JobEvent> getStateMachine(){ return stateMacthie; } /** * 获取作业内部状态的变化 * @return */ public JobStateInternal getInternalState(){ readLock.lock(); try{ return getStateMachine().getCurrentState(); }finally{ readLock.unlock(); } } @Override public void handle(JobEvent event) { try{ writeLock.lock(); JobStateInternal oldState = getInternalState(); try{ getStateMachine().doTransition(event.getType(), event); }catch(InvalidStateTranstitonException e){ System.out.println("Can‘t handle thi event at current state "); } if(oldState != getInternalState()){ System.out.println("JOb Transtitioned from "+oldState +"to"+getInternalState()); } }finally{ writeLock.unlock(); } } }
这样就完成了一个状态机的定义。
时间: 2024-11-07 11:50:00