* 模式之生产者消费者
定义
- 与前面的保护性暂停中的 GuardObject 不同,不需要产生结果和消费结果的线程一一对应
- 消费队列可以用来平衡生产和消费的线程资源
- 生产者仅负责产生结果数据,不关心数据该如何处理,而消费者专心处理结果数据
- 消息队列是有容量限制的,满时不会再加入数据,空时不会再消耗数据
- JDK 中各种阻塞队列,采用的就是这种模式
实现
java
package org.itcast.pattern;
public class Message {
private int id;
private Object message;
public Message(int id, Object message) {
this.id = id;
this.message = message;
}
public int getId() {
return id;
}
public Object getMessage() {
return message;
}
}
java
package org.itcast.pattern;
import lombok.extern.slf4j.Slf4j;
import java.util.LinkedList;
@Slf4j(topic = "c.MessageQueue")
public class MessageQueue {
private LinkedList<Message> queue;
private final int capacity;
public MessageQueue(int capacity) {
this.capacity = capacity;
queue = new LinkedList<>();
}
/**
* @return 取出消息队列
*/
public Message take() {
synchronized (queue) {
while (queue.isEmpty()) {
log.debug("queue is empty, wait");
try {
queue.wait();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
Message message = queue.removeFirst();
queue.notifyAll();
return message;
}
}
/**
* @param message 放入队列
*/
public void put(Message message) {
synchronized (queue) {
while (queue.size() == capacity) {
log.debug("stocks has reached the limit,wait");
try {
queue.wait();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
queue.addLast(message);
queue.notifyAll();
}
}
}
java
package org.itcast.pattern;
import lombok.extern.slf4j.Slf4j;
import java.io.IOException;
import java.util.List;
@Slf4j(topic = "c.TestProducerConsumer")
public class TestProducerConsumer {
public static void main(String[] args) {
MessageQueue messageQueue = new MessageQueue(2);
// 4 个生产者线程, 下载任务
for (int i = 0; i < 4; i++) {
int id = i;
new Thread(() -> {
try {
log.debug("download...");
List<String> response = Downloader.download();
log.debug("try put message({})", id);
messageQueue.put(new Message(id, response));
} catch (IOException e) {
e.printStackTrace();
}
}, "生产者" + i).start();
}
// 1 个消费者线程, 处理结果
new Thread(() -> {
while (true) {
Message message = messageQueue.take();
List<String> response = (List<String>) message.getMessage();
log.debug("take message({}): [{}] lines", message.getId(), response.size());
}
}, "消费者").start();
}
}
某次运行结果
sh
17:05:15 [生产者2] c.TestProducerConsumer - download...
17:05:15 [消费者] c.MessageQueue - queue is empty, wait
17:05:15 [生产者3] c.TestProducerConsumer - download...
17:05:15 [生产者1] c.TestProducerConsumer - download...
17:05:15 [生产者0] c.TestProducerConsumer - download...
17:05:16 [生产者2] c.TestProducerConsumer - try put message(2)
17:05:16 [生产者1] c.TestProducerConsumer - try put message(1)
17:05:16 [生产者0] c.TestProducerConsumer - try put message(0)
17:05:16 [生产者3] c.TestProducerConsumer - try put message(3)
17:05:16 [生产者0] c.MessageQueue - stocks has reached the limit,wait
17:05:16 [生产者1] c.MessageQueue - stocks has reached the limit,wait
17:05:16 [消费者] c.TestProducerConsumer - take message(2): [3] lines
17:05:16 [消费者] c.TestProducerConsumer - take message(3): [3] lines
17:05:16 [消费者] c.TestProducerConsumer - take message(0): [3] lines
17:05:16 [消费者] c.TestProducerConsumer - take message(1): [3] lines
17:05:16 [消费者] c.MessageQueue - queue is empty, wait