自己编写的线程池的工具类(挺好用的)

x33g5p2x  于2022-08-17 转载在 其他  
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简介:

线程池的工具类
<p>用于进行线程的管理,防止重复创建、杀死线程。
<p>多线程运行期间,如果系统不断的创建、杀死新线程,会产生过度消耗系统资源,以及过度切换线程的问题,甚至可能导致系统资源的崩溃。因此需要线程池,对线程进行管理。
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

/*
 * 使用的话 : 获取线程池: ThreadUtils.getInstance().getExecutor();
 *           执行任务:  ThreadUtils.getInstance().execute(Runnable runnable);
 *           杀死线程:  ThreadUtils.getInstance().remove(Runnable runnable);
 *
 * */
public class ThreadPoolUtil {

    /*
     * volatile 保证变量操作的可见性,也防止指令重排序   应用就是双锁检测的单例模式
     * */
    private static volatile ThreadPoolUtil mInstance;

    /**
     * 核心线程池的数量,同时能够执行的线程数量
     */
    private int corePoolSize;
    /**
     * 最大线程池数量,表示当缓冲队列满的时候能继续容纳的等待任务的数量
     */
    private int maxPoolSize;
    /**
     * 存活时间
     */
    private long keepAliveTime = 1;

    private ThreadPoolExecutor executor;

    public ThreadPoolExecutor getExecutor() {
        return executor;
    }

    private ThreadPoolUtil() {
        //给corePoolSize赋值:当前设备可用处理器核心数*2 + 1,能够让cpu的效率得到最大程度执行(有研究论证的)
        corePoolSize = Runtime.getRuntime().availableProcessors() * 2 + 1;
        maxPoolSize = corePoolSize;
        TimeUnit unit = TimeUnit.HOURS;
        executor = new ThreadPoolExecutor(
                //当某个核心任务执行完毕,会依次从缓冲队列中取出等待任务
                corePoolSize,
                // 然后new LinkedBlockingQueue<Runnable>(),然后maximumPoolSize,但是它的数量是包含了corePoolSize的
                maxPoolSize,
                //表示的是maximumPoolSize当中等待任务的存活时间
                keepAliveTime,
                unit,
                //缓冲队列,用于存放等待任务,Linked的先进先出
                new LinkedBlockingQueue<>(),
                new DefaultThreadFactory(Thread.NORM_PRIORITY, "thread-pool-"),
                new ThreadPoolExecutor.AbortPolicy()
        );
    }

    /**
     * 获取线程池单例
     */
    public static ThreadPoolUtil getInstance() {
        if (mInstance == null) {
            synchronized (ThreadPoolUtil.class) {
                if (mInstance == null) {
                    mInstance = new ThreadPoolUtil();
                }
            }
        }
        return mInstance;
    }

    /**
     * 执行任务
     */
    public void execute(Runnable runnable) {
        if (executor == null) {
            executor = new ThreadPoolExecutor(
                    corePoolSize,
                    maxPoolSize,
                    keepAliveTime,
                    TimeUnit.SECONDS,
                    new LinkedBlockingQueue<>(),
                    new DefaultThreadFactory(Thread.NORM_PRIORITY, "thread-pool-"),
                    new ThreadPoolExecutor.AbortPolicy());
        }
        if (runnable != null) {
            executor.execute(runnable);
        }
    }

    /**
     * 移除任务
     */
    public void remove(Runnable runnable) {
        if (runnable != null) {
            executor.remove(runnable);
        }
    }

    private static class DefaultThreadFactory implements ThreadFactory {
        //线程池的计数
        private static final AtomicInteger POOL_NUMBER = new AtomicInteger(1);
        //线程的计数
        private final AtomicInteger threadNumber = new AtomicInteger(1);
        private final ThreadGroup group;
        private final String namePrefix;
        private final int threadPriority;

        DefaultThreadFactory(int threadPriority, String threadNamePrefix) {
            this.threadPriority = threadPriority;
            this.group = Thread.currentThread().getThreadGroup();
            this.namePrefix = threadNamePrefix + POOL_NUMBER.getAndIncrement() + "-thread-";
        }

        @Override
        public Thread newThread(Runnable r) {
            Thread thread = new Thread(group, r, namePrefix + threadNumber.getAndIncrement(), 0);
            // 返回True该线程就是守护线程,守护线程应该永远不去访问固有资源,如:数据库、文件等。因为它会在任何时候甚至在一个操作的中间发生中断。
            if (thread.isDaemon()) {
                thread.setDaemon(false);
            }
            thread.setPriority(threadPriority);
            return thread;
        }
    }

}

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