手把手带你理解java线程池之工作队列workQueue

时间:2022-07-07 19:30:26

线程池之工作队列

手把手带你理解java线程池之工作队列workQueue

 

ArrayBlockingQueue

采用数组来实现,并采用可重入锁ReentrantLock来做并发控制,无论是添加还是读取,都先要获得锁才能进行操作 可看出进行读写操作都使用了ReentrantLock,ArrayBlockingQueue需要为其指定容量

public boolean offer(E e) {
      checkNotNull(e);
      final ReentrantLock lock = this.lock;
      lock.lock();
      try {
          if (count == items.length)
              return false;
          else {
              enqueue(e);
              return true;
          }
      } finally {
          lock.unlock();
      }
  }
  
  public void put(E e) throws InterruptedException {
      checkNotNull(e);
      final ReentrantLock lock = this.lock;
      lock.lockInterruptibly();
      try {
          while (count == items.length)
              notFull.await();
          enqueue(e);
      } finally {
          lock.unlock();
      }
  }

 

SynchronousQueue

由于SynchronousQueue源码比较复杂,里面大量的Cas操作,SynchronousQueue没有容器,所以里面是装不了任务的,当一个生产者线程生产一个任务的 时候,如果没有对应的消费者消费,那么该生产者会一直阻塞,知道有消费者消费为止。
图示:

手把手带你理解java线程池之工作队列workQueue

如下代码,如果我们将消费者线程注释掉执行,那么生产者哪里将会一直阻塞

package thread.customthreadpool;

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

/**
* 测试SynchronousQueue
*/
public class SynchronousQueueTest {

  private static final SynchronousQueue<String> synchronousQueue = new SynchronousQueue<>();

  private static final ExecutorService service = Executors.newCachedThreadPool();

  public static void main(String[] args) {
      /**
       * Provider
       */
      service.submit(() -> {
          try {
              synchronousQueue.put("liu");
          }catch (Exception e){
              e.printStackTrace();
          }
          System.out.println("Consumer finished spending");
      });

      /**
       * Consumer
       */
      service.submit(() ->{
          try {
              synchronousQueue.take();
          }catch (Exception e){
              e.printStackTrace();
          }
          System.out.println("take over");
      });
  }
}

 

LinkedBlockingDeque

LinkedBlockingDeque是一个双向队列,底层使用单链表实现,任何一段都可进行元素的读写操作,在初始化LinkedBlockingDeque的时候, 我们可以指定容量,也可不指定,如果不指定,则容量为Integer.MAX_VALUE,

注:Deque是双端队列,而Queue是单端队列,双端意思是两端都可以进行读写操作,而单端则只能从一端进,一端出(FIFO)

public LinkedBlockingDeque() {
      this(Integer.MAX_VALUE);
}
package thread.customthreadpool;
import java.util.concurrent.LinkedBlockingDeque;
public class LinkedBlockingDequeTest {

  private static final LinkedBlockingDeque<Integer> deque = new LinkedBlockingDeque<>();

  public static void main(String[] args) throws InterruptedException {
      deque.put(1);
      deque.put(2);
      deque.put(3);
      deque.put(4);
      deque.put(5);
      System.out.println(deque);
      System.out.println("deque size  "+deque.size());
      deque.take();
      deque.take();
      deque.take();
      deque.take();
      deque.take();
      System.out.println(deque);
      System.out.println("deque size  "+deque.size());
  }
}

手把手带你理解java线程池之工作队列workQueue

 

LinkedBlockingQueue

底层基于单向连表实现,是一个单向队列,具有先进先出(FIFO)特点,使用了ReentrantLock来做并发控制,读写操作都上锁

private final ReentrantLock putLock = new ReentrantLock();
  public void put(E e) throws InterruptedException {
      if (e == null) throw new NullPointerException();
      int c = -1;
      Node<E> node = new Node<E>(e);
      final ReentrantLock putLock = this.putLock;
      final AtomicInteger count = this.count;
      putLock.lockInterruptibly();
      try {
          while (count.get() == capacity) {
              notFull.await();
          }
          enqueue(node);
          c = count.getAndIncrement();
          if (c + 1 < capacity)
              notFull.signal();
      } finally {
          putLock.unlock();
      }
      if (c == 0)
          signalNotEmpty();
  }
  public E take() throws InterruptedException {
      E x;
      int c = -1;
      final AtomicInteger count = this.count;
      final ReentrantLock takeLock = this.takeLock;
      takeLock.lockInterruptibly();
      try {
          while (count.get() == 0) {
              notEmpty.await();
          }
          x = dequeue();
          c = count.getAndDecrement();
          if (c > 1)
              notEmpty.signal();
      } finally {
          takeLock.unlock();
      }
      if (c == capacity)
          signalNotFull();
      return x;
  }

 

DelayDeque

DelayDeque是一个*队列,添加进DelayDeque的元素会经过compareTo方法计算,然后按照时间 进行排序,排在队头的元素是最早到期的,越往后到期时间越长,DelayDeque只能接受Delayed接口类型 如图所示,队列里的元素并不是按照先进先出的规则,而是按照过期时间

手把手带你理解java线程池之工作队列workQueue

示例

package thread.customthreadpool.delayDeque;

import java.util.concurrent.Delayed;
import java.util.concurrent.TimeUnit;

public class MyDelayed implements Delayed {

  private final String taskName ;
  private final long nowTime = System.currentTimeMillis();
  private final long expireTime ;

  public MyDelayed(String taskName,long expireTime) {
      this.taskName = taskName;
      this.expireTime = expireTime;
  }

  @Override
  public long getDelay(TimeUnit unit) {
      return unit.convert((nowTime+expireTime) - System.currentTimeMillis(),TimeUnit.MILLISECONDS);
  }

  @Override
  public int compareTo(Delayed o) {
      MyDelayed myDelayed = (MyDelayed) o;
      return (int) (this.getDelay(TimeUnit.MILLISECONDS) - o.getDelay(TimeUnit.MILLISECONDS));
  }

  @Override
  public String toString() {
      return "MyDelayed{" +
              "taskName='" + taskName + '\'' +
              ", nowTime=" + nowTime +
              ", expireTime=" + expireTime +
              '}';
  }
}
package thread.customthreadpool.delayDeque;

import java.util.concurrent.*;

public class MyDelayQueue {

  private static final DelayQueue<MyDelayed> delayQueue = new DelayQueue<>();

  private static final ExecutorService service = Executors.newCachedThreadPool();

  public static void main(String[] args) throws InterruptedException {
      service.submit(() -> {
          delayQueue.put(new MyDelayed("A-Task",5000));
          delayQueue.put(new MyDelayed("B-Task",4000));
          delayQueue.put(new MyDelayed("C-Task",3000));
          delayQueue.put(new MyDelayed("D-Task",2000));
          delayQueue.put(new MyDelayed("E-Task",1000));
      });
      while (true){
          System.out.println(delayQueue.take());
      }
  }
}

result

手把手带你理解java线程池之工作队列workQueue

应用场景

1.美团外卖订单:当我们下单后没付款 ,30分钟后将自动取消订单
2.缓存,对于某些任务,需要在特定的时间清理;

and so on

 

LinkedTransferQueue

当消费线程从队列中取元素时,如果队列为空,那么生成一个为null的节点,消费者线程就一直等待,此时如果生产者线程发现队列中有一个null节点, 它就不入队了,而是将元素填充到这个null节点并唤醒消费者线程,然后消费者线程取走元素。
LinkedTransferQueue是 SynchronousQueue 和 LinkedBlockingQueue 的整合,性能比较高,因为没有锁操作, SynchronousQueue不能存储元素,而LinkedTransferQueue能存储元素,

 

PriorityBlockingQueue

PriorityBlockingQueue是一个*的阻塞队列,同时是一个支持优先级的队列,读写操作都是基于ReentrantLock, 内部使用堆算法保证每次出队都是优先级最高的元素

public E take() throws InterruptedException {
      final ReentrantLock lock = this.lock;
      lock.lockInterruptibly();
      E result;
      try {
          while ( (result = dequeue()) == null)
              notEmpty.await();
      } finally {
          lock.unlock();
      }
      return result;
}

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原文链接:https://www.cnblogs.com/steakliu/p/15245736.html