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) {}
}
}