disruptor架构三 使用场景 使用WorkHandler和BatchEventProcessor辅助创建消费者

package bhz.generate1;

import java.util.concurrent.atomic.AtomicInteger;

public class Trade {  
    
    private String id;//ID  
    private String name;
    private double price;//金额  
    private AtomicInteger count = new AtomicInteger(0);
    
    public String getId() {
        return id;
    }
    public void setId(String id) {
        this.id = id;
    }
    public String getName() {
        return name;
    }
    public void setName(String name) {
        this.name = name;
    }
    public double getPrice() {
        return price;
    }
    public void setPrice(double price) {
        this.price = price;
    }
    public AtomicInteger getCount() {
        return count;
    }
    public void setCount(AtomicInteger count) {
        this.count = count;
    } 
      
      
}  

package bhz.generate1;

import java.util.UUID;

import com.lmax.disruptor.EventHandler;
import com.lmax.disruptor.WorkHandler;

public class TradeHandler implements EventHandler<Trade>, WorkHandler<Trade> {  
      
    @Override  
    public void onEvent(Trade event, long sequence, boolean endOfBatch) throws Exception {  
        this.onEvent(event);  
    }  
  
    @Override  
    public void onEvent(Trade event) throws Exception {  
        //杩欓噷鍋氬叿浣撶殑娑堣垂閫昏緫  
        event.setId(UUID.randomUUID().toString());//绠?崟鐢熸垚涓婭D  
        System.out.println(event.getId());  
    }  
}  

package bhz.generate1;

import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;

import com.lmax.disruptor.BatchEventProcessor;
import com.lmax.disruptor.EventFactory;
import com.lmax.disruptor.EventProcessor;
import com.lmax.disruptor.RingBuffer;
import com.lmax.disruptor.SequenceBarrier;
import com.lmax.disruptor.YieldingWaitStrategy;

public class Main1 {  
   
    public static void main(String[] args) throws Exception {  
        int BUFFER_SIZE=1024;  
        int THREAD_NUMBERS=4;  
        /* 
         * createSingleProducer创建一个单生产者的RingBuffer， 
         * 第一个参数叫EventFactory，从名字上理解就是"事件工厂"，其实它的职责就是产生数据填充RingBuffer的区块。 
         * 第二个参数是RingBuffer的大小，它必须是2的指数倍 目的是为了将求模运算转为&运算提高效率 
         * 第三个参数是RingBuffer的生产都在没有可用区块的时候(可能是消费者（或者说是事件处理器） 太慢了)的等待策略 
         */  
        final RingBuffer<Trade> ringBuffer = RingBuffer.createSingleProducer(new EventFactory<Trade>() {  
            @Override  
            public Trade newInstance() {  
                return new Trade();  
            }  
        }, BUFFER_SIZE, new YieldingWaitStrategy());  
        
        //创建线程池  
        ExecutorService executors = Executors.newFixedThreadPool(THREAD_NUMBERS);  
        
        //创建SequenceBarrier  ,用于平衡生产者和消费者速率，用障碍来处理
        SequenceBarrier sequenceBarrier = ringBuffer.newBarrier();  
          
        //创建消息处理器  
        BatchEventProcessor<Trade> transProcessor = new BatchEventProcessor<Trade>(  
                ringBuffer, sequenceBarrier, new TradeHandler());  
          
        //这一步的目的就是把消费者的位置信息引用注入到生产者    如果只有一个消费者的情况可以省略 ，将生产者和消费者关联起来
        ringBuffer.addGatingSequences(transProcessor.getSequence());  
          
        //把消息处理器提交到线程池  
        executors.submit(transProcessor);  
        
        //如果存在多个消费者 那重复执行上面3行代码 把TradeHandler换成其它消费者类  
          
        Future<?> future= executors.submit(new Callable<Void>() {  
            @Override  
            public Void call() throws Exception {  
                long seq;  
                for(int i=0;i<10;i++){  
                    seq = ringBuffer.next();//占个坑 --ringBuffer一个可用区块  
                    ringBuffer.get(seq).setPrice(Math.random()*9999);//给这个区块放入 数据 
                    ringBuffer.publish(seq);//发布这个区块的数据使handler(consumer)可见  
                }  
                return null;  
            }  
        }); 
        
        future.get();//等待生产者结束  
        Thread.sleep(1000);//等上1秒，等消费都处理完成  
        transProcessor.halt();//通知事件(或者说消息)处理器 可以结束了（并不是马上结束!!!）  
        executors.shutdown();//终止线程  
    }  
}  

package bhz.generate1;

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

import com.lmax.disruptor.EventFactory;
import com.lmax.disruptor.IgnoreExceptionHandler;
import com.lmax.disruptor.RingBuffer;
import com.lmax.disruptor.SequenceBarrier;
import com.lmax.disruptor.WorkHandler;
import com.lmax.disruptor.WorkerPool;

public class Main2 {  
    public static void main(String[] args) throws InterruptedException {  
        int BUFFER_SIZE=1024;  
        int THREAD_NUMBERS=4;  
        
        EventFactory<Trade> eventFactory = new EventFactory<Trade>() {  
            public Trade newInstance() {  
                return new Trade();  
            }  
        };  
        
        RingBuffer<Trade> ringBuffer = RingBuffer.createSingleProducer(eventFactory, BUFFER_SIZE);  
          
        SequenceBarrier sequenceBarrier = ringBuffer.newBarrier();  
          
        ExecutorService executor = Executors.newFixedThreadPool(THREAD_NUMBERS);  
          
        WorkHandler<Trade> handler = new TradeHandler();  

        WorkerPool<Trade> workerPool = new WorkerPool<Trade>(ringBuffer, sequenceBarrier, new IgnoreExceptionHandler(), handler);  
          
        workerPool.start(executor);  
          
        //下面这个生产8个数据
        for(int i=0;i<8;i++){  
            long seq=ringBuffer.next();  
            ringBuffer.get(seq).setPrice(Math.random()*9999);  
            ringBuffer.publish(seq);  
        }           
        Thread.sleep(1000);  
        workerPool.halt();  
        executor.shutdown();  
    }  
}