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How to use thread pool to implement producer consumer pattern in Java 7

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Release: 2023-07-29 08:37:31
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How to use the thread pool to implement the producer-consumer model in Java 7

Introduction: The thread pool is a commonly used thread management mechanism in Java, which can improve the reusability and efficiency of threads. In concurrent programming, the producer-consumer pattern is a common design pattern suitable for collaboration and data exchange between multiple threads. This article will introduce how to use thread pools to implement the producer-consumer pattern in Java 7 and provide code examples.

1. What is the producer-consumer pattern

The producer-consumer pattern is a concurrent design pattern used to solve the data exchange problem between producers and consumers. In the producer-consumer pattern, producers are responsible for generating data, and consumers are responsible for processing data. In order to achieve cooperation and data exchange between threads, it is usually necessary to use a shared buffer. The producer stores data into the buffer, and the consumer takes the data out of the buffer for processing.

2. Advantages of using thread pools to implement the producer-consumer model

Traditionally, we can achieve multi-threaded interaction between producers and consumers by creating Thread objects. However, this method has some problems in practical application. First, when a large number of producers and consumers need to be processed, thread creation and destruction operations will cause a large overhead to system performance. Secondly, there is a certain limit on the number of threads created. Too many threads will lead to resource exhaustion and thread scheduling overhead.

Using a thread pool to implement the producer-consumer model can make full use of the reusability and efficiency of threads. The thread pool can pre-create a certain number of threads when the system starts and put them into the pool. When a new task arrives, the threads in the thread pool can be reused directly, reducing the overhead of thread creation and destruction. At the same time, the thread pool can flexibly control the number of threads and resource allocation, thereby improving the stability and efficiency of the system.

3. Code example of using thread pool to implement producer-consumer pattern

Below we use a simple example to demonstrate how to use thread pool to implement producer-consumer pattern.

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

public class ProducerConsumerExample {
    public static void main(String[] args) {
        ExecutorService executorService = Executors.newFixedThreadPool(5);
        Buffer buffer = new Buffer();

        // 生产者线程
        Runnable producer = new Producer(buffer);
        executorService.submit(producer);

        // 消费者线程
        Runnable consumer = new Consumer(buffer);
        executorService.submit(consumer);

        executorService.shutdown();
    }
}

class Buffer {
    private int value;
    private boolean occupied = false;

    public synchronized void produce(int value) {
        while (occupied) {
            try {
                wait();
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
            }
        }
        this.value = value;
        occupied = true;
        notifyAll();
    }

    public synchronized int consume() {
        while (!occupied) {
            try {
                wait();
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
            }
        }
        occupied = false;
        notifyAll();
        return value;
    }
}

class Producer implements Runnable {
    private static final int MAX_VALUE = 10;
    private Buffer buffer;

    public Producer(Buffer buffer) {
        this.buffer = buffer;
    }

    @Override
    public void run() {
        for (int i = 0; i < MAX_VALUE; i++) {
            buffer.produce(i);
            System.out.println("Producer produced: " + i);
            try {
                Thread.sleep((int) (Math.random() * 1000));
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
            }
        }
    }
}

class Consumer implements Runnable {
    private static final int MAX_VALUE = 10;
    private Buffer buffer;

    public Consumer(Buffer buffer) {
        this.buffer = buffer;
    }

    @Override
    public void run() {
        for (int i = 0; i < MAX_VALUE; i++) {
            int value = buffer.consume();
            System.out.println("Consumer consumed: " + value);
            try {
                Thread.sleep((int) (Math.random() * 1000));
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
            }
        }
    }
}
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In the above code, we use the thread pool classes ExecutorService and Executors in Java 7 to create a thread pool, and use the fixed-length thread pool newFixedThreadPool to control the number of threads. In the Buffer class, we use the synchronized keyword to implement thread synchronization and mutual exclusion. When there is data in the buffer, the producer needs to wait for the consumer thread to consume the data; when there is no data in the buffer, the consumer needs to wait for the producer thread to produce data.

Through the above code, we can see the typical characteristics of the producer-consumer model: a producer thread is responsible for producing data, a consumer thread is responsible for consuming data, and the producer and consumer use a shared buffer. area for data exchange. The use of thread pools can manage these two threads well, improving the performance and efficiency of the system.

Conclusion: This article introduces how to use thread pools to implement the producer-consumer pattern in Java 7, and provides relevant code examples. By using the thread pool, we can make full use of the reusability and efficiency of threads and improve the stability and performance of the system. I hope this article is helpful for you to learn about concurrent programming and thread pools.

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