多生产者多消费者模拟需求:
1、创建100个订单生产者,每个生产者生产100条订单,总共会生产10000条订单,由3个消费者进行订单消费处理。
2、100个订单生产者全部创建完毕,再一起生产消费订单数据
1、定义事件
package com.ljq.multi; public class Order { private String id;// ID private String name; private double price;// 金额 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; } }
2、生产者
package com.ljq.multi; import com.lmax.disruptor.RingBuffer; /** * 生产者 * * @author Administrator * */ public class Producer { private final RingBuffer<Order> ringBuffer; public Producer(RingBuffer<Order> ringBuffer) { this.ringBuffer = ringBuffer; } /** * onData用来发布事件,每调用一次就发布一次事件 它的参数会用过事件传递给消费者 */ public void onData(String data) { // 可以把ringBuffer看做一个事件队列,那么next就是得到下面一个事件槽 long sequence = ringBuffer.next(); try { // 用上面的索引取出一个空的事件用于填充(获取该序号对应的事件对象) Order order = ringBuffer.get(sequence); // 获取要通过事件传递的业务数据 order.setId(data); } finally { // 发布事件 // 注意,最后的 ringBuffer.publish 方法必须包含在 finally 中以确保必须得到调用;如果某个请求的 // sequence 未被提交,将会堵塞后续的发布操作或者其它的 producer。 ringBuffer.publish(sequence); } } }
3、消费者
package com.ljq.multi; import java.util.concurrent.atomic.AtomicInteger; import com.lmax.disruptor.WorkHandler; public class Consumer implements WorkHandler<Order>{ private String consumerId; private static AtomicInteger count = new AtomicInteger(0); public Consumer(String consumerId){ this.consumerId = consumerId; } @Override public void onEvent(Order order) throws Exception { count.incrementAndGet(); System.out.println("当前消费者: " + this.consumerId + ",消费信息:" + order.getId() + ",count:" + getCount()); } public int getCount(){ return count.get(); } }
4、生产者消费者启动类
package com.ljq.multi; import java.util.UUID; import java.util.concurrent.CountDownLatch; import java.util.concurrent.Executors; import java.util.concurrent.atomic.AtomicInteger; import com.lmax.disruptor.EventFactory; import com.lmax.disruptor.ExceptionHandler; import com.lmax.disruptor.RingBuffer; import com.lmax.disruptor.SequenceBarrier; import com.lmax.disruptor.WorkerPool; import com.lmax.disruptor.YieldingWaitStrategy; import com.lmax.disruptor.dsl.ProducerType; /** * disrunptor 多生产者多消费者 * * @author Administrator * */ public class Main { public static void main(String[] args) throws Exception { //创建ringBuffer RingBuffer<Order> ringBuffer = RingBuffer.create(ProducerType.MULTI, new EventFactory<Order>() { @Override public Order newInstance() { return new Order(); } }, 1024 * 1024, new YieldingWaitStrategy()); SequenceBarrier barriers = ringBuffer.newBarrier(); //创建3个消费者消费订单数据 Consumer[] consumers = new Consumer[3]; for(int i = 0; i < consumers.length; i++){ consumers[i] = new Consumer("c" + i); } WorkerPool<Order> workerPool = new WorkerPool<Order>(ringBuffer, barriers, new IntEventExceptionHandler(), consumers); ringBuffer.addGatingSequences(workerPool.getWorkerSequences()); workerPool.start(Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors())); final AtomicInteger count = new AtomicInteger(0); final CountDownLatch latch = new CountDownLatch(1); //100个生产者 for (int i = 0; i < 100; i++) { final Producer p = new Producer(ringBuffer); new Thread(new Runnable() { @Override public void run() { try { System.out.println(count.incrementAndGet()); latch.await(); //等待,直到100个生产者创建完成,再一起生产消费订单数据 } catch (InterruptedException e) { e.printStackTrace(); } //每个生产者生产100条订单 for(int j = 0; j < 100; j ++){ p.onData(UUID.randomUUID().toString()); } } }).start(); } System.out.println("---------------开始生产-----------------"); latch.countDown(); //生产者全部创建完毕,开始生产订单 } static class IntEventExceptionHandler implements ExceptionHandler { public void handleEventException(Throwable ex, long sequence, Object event) {} public void handleOnStartException(Throwable ex) {} public void handleOnShutdownException(Throwable ex) {} } }