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一. Disruptor
Disruptor 是一个高性能的异步处理框架。
Disruptor 是 LMAX 在线交易平台的关键组成部分,LMAX平台使用该框架对订单处理速度能达到600万TPS,除金融领域之外,其他一般的应用中都可以用到Disruptor,它可以带来显著的性能提升。其实 Disruptor 与其说是一个框架,不如说是一种设计思路,这个设计思路对于存在“并发、缓冲区、生产者—消费者模型、事务处理”这些元素的程序来说,Disruptor提出了一种大幅提升性能(TPS)的方案。
二. 实践
NetDiscovery 是基于 Vert.x、RxJava 2 等框架实现的爬虫框架。
NetDiscovery 默认的消息队列采用 JDK 的 ConcurrentLinkedQueue,由于爬虫框架各个组件都可以被替换,所以下面基于 Disruptor 实现爬虫的 Queue。
2.1 事件的封装
将爬虫的 request 封装成一个 RequestEvent,该事件会在 Disruptor 中传输。
import com.cv4j.netdiscovery.core.domain.Request;import lombok.Data;/**
* Created by tony on 2018/9/1.
*/@Datapublic class RequestEvent { private Request request; public String toString() { return request.toString();
}
}2.2 发布事件
下面编写事件的发布,从 RingBuffer 中获取下一个可写入事件的序号,将爬虫要请求的 request 设置到 RequestEvent 事件中,最后将事件提交到 RingBuffer。
import com.cv4j.netdiscovery.core.domain.Request;import com.lmax.disruptor.RingBuffer;import java.util.concurrent.atomic.AtomicInteger;/**
* Created by tony on 2018/9/2.
*/public class Producer { private final RingBuffer<RequestEvent> ringBuffer; private AtomicInteger count = new AtomicInteger(0); // 计数器
public Producer(RingBuffer<RequestEvent> ringBuffer) { this.ringBuffer = ringBuffer;
} public void pushData(Request request){ long sequence = ringBuffer.next(); try{
RequestEvent event = ringBuffer.get(sequence);
event.setRequest(request);
}finally {
ringBuffer.publish(sequence);
count.incrementAndGet();
}
} /**
* 发送到队列中到Request的数量
* @return
*/
public int getCount() { return count.get();
}
}2.3 消费事件
RequestEvent 设置了 request 之后,消费者需要处理具体的事件。下面的 Consumer 仅仅是记录消费者的线程名称以及 request。真正的“消费”还是需要从 DisruptorQueue 的 poll() 中获取 request ,然后在 Spider 中进行“消费”。
import com.lmax.disruptor.WorkHandler;import lombok.extern.slf4j.Slf4j;import java.util.concurrent.atomic.AtomicInteger;/**
* Created by tony on 2018/9/2.
*/@Slf4jpublic class Consumer implements WorkHandler<RequestEvent> { @Override
public void onEvent(RequestEvent requestEvent) throws Exception {
log.info("consumer:" + Thread.currentThread().getName() + " requestEvent: value=" + requestEvent.toString());
}
}2.4 DisruptorQueue 的实现
Disruptor 支持单生产者单消费者、多生产者、多消费者、分组等方式。
在 NetDiscovery 中采用多生产者多消费者。
在 RingBuffer 创建时,ProducerType 使用 MULTI 类型表示多生产者。创建 RingBuffer 采用了 YieldingWaitStrategy 。YieldingWaitStrategy 是一种WaitStrategy,不同的 WaitStrategy 会有不同的性能。
YieldingWaitStrategy 性能是最好的,适合用于低延迟的系统。在要求极高性能且事件处理线数小于CPU逻辑核心数的场景中,推荐使用此策略;例如,CPU开启超线程的特性。
ringBuffer = RingBuffer.create(ProducerType.MULTI, new EventFactory<RequestEvent>() { @Override
public RequestEvent newInstance() { return new RequestEvent();
}
},
ringBufferSize , new YieldingWaitStrategy());EventProcessor 用于处理 Disruptor 中的事件。
EventProcessor 的实现类包括:BatchEventProcessor 用于单线程批量处理事件,WorkProcessor 用于多线程处理事件。
WorkerPool 管理着一组 WorkProcessor。创建完 ringBuffer 之后,创建 workerPool:
SequenceBarrier barriers = ringBuffer.newBarrier(); for (int i = 0; i < consumers.length; i++) {
consumers[i] = new Consumer();
}
workerPool = new WorkerPool<RequestEvent>(ringBuffer,
barriers, new EventExceptionHandler(),
consumers);启动 workerPool:
ringBuffer.addGatingSequences(workerPool.getWorkerSequences()); workerPool.start(Executors.newFixedThreadPool(threadNum));
最后是 DisruptorQueue 完整的代码:
import com.cv4j.netdiscovery.core.domain.Request;import com.cv4j.netdiscovery.core.queue.AbstractQueue;import com.lmax.disruptor.*;import com.lmax.disruptor.dsl.ProducerType;import lombok.extern.slf4j.Slf4j;import java.util.concurrent.Executors;import java.util.concurrent.atomic.AtomicInteger;/**
* Created by tony on 2018/9/1.
*/@Slf4jpublic class DisruptorQueue extends AbstractQueue { private RingBuffer<RequestEvent> ringBuffer; private Consumer[] consumers = null; private Producer producer = null; private WorkerPool<RequestEvent> workerPool = null; private int ringBufferSize = 1024*1024; // RingBuffer 大小,必须是 2 的 N 次方
private AtomicInteger consumerCount = new AtomicInteger(0); private static final int CONSUME_NUM = 2; private static final int THREAD_NUM = 4; public DisruptorQueue() { this(CONSUME_NUM,THREAD_NUM);
} public DisruptorQueue(int consumerNum,int threadNum) {
consumers = new Consumer[consumerNum]; //创建ringBuffer
ringBuffer = RingBuffer.create(ProducerType.MULTI, new EventFactory<RequestEvent>() { @Override
public RequestEvent newInstance() { return new RequestEvent();
}
},
ringBufferSize , new YieldingWaitStrategy());
SequenceBarrier barriers = ringBuffer.newBarrier(); for (int i = 0; i < consumers.length; i++) {
consumers[i] = new Consumer();
}
workerPool = new WorkerPool<RequestEvent>(ringBuffer,
barriers, new EventExceptionHandler(),
consumers);
ringBuffer.addGatingSequences(workerPool.getWorkerSequences());
workerPool.start(Executors.newFixedThreadPool(threadNum));
producer = new Producer(ringBuffer);
} @Override
protected void pushWhenNoDuplicate(Request request) {
producer.pushData(request); try {
Thread.sleep(100);
} catch (InterruptedException e) {
e.printStackTrace();
}
} @Override
public Request poll(String spiderName) {
Request request = ringBuffer.get(ringBuffer.getCursor() - producer.getCount() +1).getRequest();
ringBuffer.next();
consumerCount.incrementAndGet(); return request;
} @Override
public int getLeftRequests(String spiderName) { return producer.getCount()-consumerCount.get();
} public int getTotalRequests(String spiderName) { return super.getTotalRequests(spiderName);
} static class EventExceptionHandler implements ExceptionHandler { public void handleEventException(Throwable ex, long sequence, Object event) {
log.debug("handleEventException:" + ex);
} public void handleOnStartException(Throwable ex) {
log.debug("handleOnStartException:" + ex);
} public void handleOnShutdownException(Throwable ex) {
log.debug("handleOnShutdownException:" + ex);
}
}
}
作者:fengzhizi715
链接:https://www.jianshu.com/p/4a202ef547cc
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