阻塞队列(BlockingQueue)
阻塞队列:
Queue接口与List、Set同一级别,都是继承了Collection接口。LinkedList实现了Queue接口。
BlockingQueue接口的实现类

BlockingQUeue的核心方法


一、ArrayBlockingQueue
1、抛出异常:
BlockingQueue<String> queue = new ArrayBlockingQueue<>(3);
// 1、抛出异常:add/remove
System.out.println(queue.add("a"));
System.out.println(queue.add("b"));
System.out.println(queue.add("c"));
// 超出队列长度报错:Queue full
// System.out.println(queue.add("x"));
queue.remove();
queue.remove();
queue.remove();
// 队列中没有元素报错:NoSuchElementException
//queue.remove();
2、特殊值
BlockingQueue<String> queue = new ArrayBlockingQueue<>(3);
// 2、特殊值:offer/poll
System.out.println(queue.offer("a"));
System.out.println(queue.offer("b"));
System.out.println(queue.offer("c"));
// 插入不进去元素会返回false
System.out.println(queue.offer("x"));
System.out.println(queue.poll());
System.out.println(queue.poll());
System.out.println(queue.poll());
// 取不到数据会返回null
System.out.println(queue.poll());
3、阻塞
BlockingQueue<String> queue = new ArrayBlockingQueue<>(3);
// 3、阻塞
queue.put("a");
queue.put("b");
queue.put("c");
// 队列插入不了数据,会一直卡住
// queue.put("x");
System.out.println(queue.take());
System.out.println(queue.take());
System.out.println(queue.take());
// 检索并删除此队列的头,如有必要,请等待直到元素可用
System.out.println(queue.take());
4、超时
BlockingQueue<String> queue = new ArrayBlockingQueue<>(3);
// 3、超时
System.out.println(queue.offer("a", 2L, TimeUnit.SECONDS));
System.out.println(queue.offer("b", 2L, TimeUnit.SECONDS));
System.out.println(queue.offer("c", 2L, TimeUnit.SECONDS));
// 队列已满会等待指定的时间,返回false
System.out.println(queue.offer("x", 2L, TimeUnit.SECONDS));
System.out.println(queue.poll(2L, TimeUnit.SECONDS));
System.out.println(queue.poll(2L, TimeUnit.SECONDS));
System.out.println(queue.poll(2L, TimeUnit.SECONDS));
// 队列已满会等待指定的时间,返回null
System.out.println(queue.poll(2L, TimeUnit.SECONDS));
二、SynchronizeousQueue:生产一个消费一个
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
/**
* @author zhangzhixi
* @date 2021-4-20 22:08
*/
public class Demo_05_阻塞队列 {
public static void main(String[] args) throws InterruptedException {
SynchronousQueue<String> queue = new SynchronousQueue<>();
// 一个线程用来生产
new Thread(() -> {
try {
System.out.println(Thread.currentThread().getName() + "\t put:" + "a");
queue.put("a");
System.out.println(Thread.currentThread().getName() + "\t put:" + "b");
queue.put("b");
System.out.println(Thread.currentThread().getName() + "\t put:" + "c");
queue.put("c");
} catch (InterruptedException e) {
e.printStackTrace();
}
}, "AAA").start();
// 一个线程用来消费
new Thread(() -> {
try {
TimeUnit.SECONDS.sleep(3);
System.out.println(Thread.currentThread().getName() +"\t释放 " +queue.take());
TimeUnit.SECONDS.sleep(3);
System.out.println(Thread.currentThread().getName() +"\t释放 " +queue.take());
TimeUnit.SECONDS.sleep(3);
System.out.println(Thread.currentThread().getName() +"\t释放 " +queue.take());
} catch (InterruptedException e) {
e.printStackTrace();
}
}, "BBB").start();
}
}

三、PriorityBlockingQueue:阻塞优先队列
PriorityBlockingQueue是一个无界队列,它没有限制,在内存允许的情况下可以无限添加元素;它又是具有优先级的队列,是通过构造函数传入的对象来判断,传入的对象必须实现comparable接口。
public static void main(String[] args) {
// 1、新建一个优先阻塞队列
BlockingQueue<Person> blockingQueue = new PriorityBlockingQueue<>();
Person per = null;
// 2、添加数据
blockingQueue.add(new Person(6, "张三", 20));
blockingQueue.add(new Person(5, "李四", 20));
blockingQueue.add(new Person(1, "王五", 28));
// 3、取出数据
blockingQueue.forEach(System.out::println);
}
class Person implements Comparable<Person> {
private Integer id;
private String name;
private Integer age;
public Person() {
}
public Person(Integer id, String name, Integer age) {
this.id = id;
this.name = name;
this.age = age;
}
@Override
public int compareTo(Person o) {
// 比较规则,先按照age进行从小到大排序,如果年龄一样再按照id进行从小到大排序
if (this.age.compareTo(o.age) == 0) {
return this.id.compareTo(o.id);
}
return this.age.compareTo(o.age);
}
@Override
public String toString() {
return "Person{" +
"id=" + id +
", name='" + name + '\'' +
", age=" + age +
'}';
}
}
结果:
Person{id=5, name='李四', age=20}
Person{id=6, name='张三', age=20}
Person{id=1, name='王五', age=28}

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