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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原文链接 : https://blog.csdn.net/qq_47109099/article/details/126371585
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