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package com.xiaoleilu.hutool.util;

import java.util.concurrent.Callable;
import java.util.concurrent.CompletionService;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorCompletionService;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

import com.xiaoleilu.hutool.thread.GlobalThreadPool;

/**
 * 线程池工具
 * 
 * @author luxiaolei
 */
public final class ThreadUtil {
	private ThreadUtil() {}

	/**
	 * 新建一个线程池
	 * 
	 * @param threadSize 同时执行的线程数大小
	 * @return ExecutorService
	 */
	public static ExecutorService newExecutor(int threadSize) {
		return Executors.newFixedThreadPool(threadSize);
	}

	/**
	 * 获得一个新的线程池
	 * 
	 * @return ExecutorService
	 */
	public static ExecutorService newExecutor() {
		return Executors.newCachedThreadPool();
	}

	/**
	 * 获得一个新的线程池,只有单个线程
	 * 
	 * @return ExecutorService
	 */
	public static ExecutorService newSingleExecutor() {
		return Executors.newSingleThreadExecutor();
	}
	
	/**
	 * 获得一个新的线程池
* 如果maximumPoolSize =》 corePoolSize,在没有新任务加入的情况下,多出的线程将最多保留60s * * @param corePoolSize 初始线程池大小 * @param maximumPoolSize 最大线程池大小 * @return {@link ThreadPoolExecutor} */ public static ThreadPoolExecutor newExecutor(int corePoolSize, int maximumPoolSize) { return new ThreadPoolExecutor(corePoolSize, maximumPoolSize, // 60L, TimeUnit.SECONDS, // new LinkedBlockingQueue()); } /** * 获得一个新的线程池
* 传入阻塞系数,线程池的大小计算公式为:CPU可用核心数 / (1 - 阻塞因子)
* Blocking Coefficient(阻塞系数) = 阻塞时间/(阻塞时间+使用CPU的时间)
* 计算密集型任务的阻塞系数为0,而IO密集型任务的阻塞系数则接近于1。 * * see: http://blog.csdn.net/partner4java/article/details/9417663 * * @param blockingCoefficient 阻塞系数,阻塞因子介于0~1之间的数,阻塞因子越大,线程池中的线程数越多。 * @return {@link ThreadPoolExecutor} * @since 3.0.6 */ public static ThreadPoolExecutor newExecutorByBlockingCoefficient(float blockingCoefficient) { if(blockingCoefficient > 1 || blockingCoefficient <=0){ throw new IllegalArgumentException("[blockingCoefficient] must between 0 and 1, or equals 0."); } // 最佳的线程数 = CPU可用核心数 / (1 - 阻塞系数) int poolSize = (int)(Runtime.getRuntime().availableProcessors() / (1-blockingCoefficient)); return new ThreadPoolExecutor(poolSize, poolSize, // 0L, TimeUnit.MILLISECONDS, // new LinkedBlockingQueue()); } /** * 直接在公共线程池中执行线程 * * @param runnable 可运行对象 */ public static void execute(Runnable runnable) { GlobalThreadPool.execute(runnable); } /** * 执行异步方法 * * @param runnable 需要执行的方法体 * @param isDeamon 是否守护线程。守护线程会在主线程结束后自动结束 * @return 执行的方法体 */ public static Runnable excAsync(final Runnable runnable, boolean isDeamon) { Thread thread = new Thread(){ @Override public void run() { runnable.run(); } }; thread.setDaemon(isDeamon); thread.start(); return runnable; } /** * 执行有返回值的异步方法
* Future代表一个异步执行的操作,通过get()方法可以获得操作的结果,如果异步操作还没有完成,则,get()会使当前线程阻塞 * * @param 回调对象类型 * @param task {@link Callable} * @return Future */ public static Future execAsync(Callable task) { return GlobalThreadPool.submit(task); } /** * 执行有返回值的异步方法
* Future代表一个异步执行的操作,通过get()方法可以获得操作的结果,如果异步操作还没有完成,则,get()会使当前线程阻塞 * * @param runnable 可运行对象 * @return {@link Future} * @since 3.0.5 */ public static Future execAsync(Runnable runnable) { return GlobalThreadPool.submit(runnable); } /** * 新建一个CompletionService,调用其submit方法可以异步执行多个任务,最后调用take方法按照完成的顺序获得其结果。
* 若未完成,则会阻塞 * * @param 回调对象类型 * @return CompletionService */ public static CompletionService newCompletionService() { return new ExecutorCompletionService(GlobalThreadPool.getExecutor()); } /** * 新建一个CompletionService,调用其submit方法可以异步执行多个任务,最后调用take方法按照完成的顺序获得其结果。
* 若未完成,则会阻塞 * * @param 回调对象类型 * @param executor 执行器 {@link ExecutorService} * @return CompletionService */ public static CompletionService newCompletionService(ExecutorService executor) { return new ExecutorCompletionService(executor); } /** * 新建一个CountDownLatch,一个同步辅助类,在完成一组正在其他线程中执行的操作之前,它允许一个或多个线程一直等待。 * * @param threadCount 线程数量 * @return CountDownLatch */ public static CountDownLatch newCountDownLatch(int threadCount) { return new CountDownLatch(threadCount); } /** * 挂起当前线程 * * @param timeout 挂起的时长 * @param timeUnit 时长单位 * @return 被中断返回false,否则true */ public static boolean sleep(Number timeout, TimeUnit timeUnit) { try { timeUnit.sleep(timeout.longValue()); } catch (InterruptedException e) { return false; } return true; } /** * 挂起当前线程 * * @param millis 挂起的毫秒数 * @return 被中断返回false,否则true */ public static boolean sleep(Number millis) { if (millis == null) { return true; } try { Thread.sleep(millis.longValue()); } catch (InterruptedException e) { return false; } return true; } /** * 考虑{@link Thread#sleep(long)}方法有可能时间不足给定毫秒数,此方法保证sleep时间不小于给定的毫秒数 * @see ThreadUtil#sleep(Number) * @param millis 给定的sleep时间 * @return 被中断返回false,否则true */ public static boolean safeSleep(Number millis){ long millisLong = millis.longValue(); long done = 0; while(done < millisLong){ long before = System.currentTimeMillis(); if(false == sleep(millisLong - done)){ return false; } long after = System.currentTimeMillis(); done += (after - before); } return true; } /** * @return 获得堆栈列表 */ public static StackTraceElement[] getStackTrace() { return Thread.currentThread().getStackTrace(); } /** * 获得堆栈项 * * @param i 第几个堆栈项 * @return 堆栈项 */ public static StackTraceElement getStackTraceElement(int i) { StackTraceElement[] stackTrace = getStackTrace(); if (i < 0) { i += stackTrace.length; } return stackTrace[i]; } /** * 创建本地线程对象 * * @param 持有对象类型 * @param isInheritable 是否为子线程提供从父线程那里继承的值 * @return 本地线程 */ public static ThreadLocal createThreadLocal(boolean isInheritable){ if(isInheritable){ return new InheritableThreadLocal<>(); }else{ return new ThreadLocal<>(); } } /** * 结束线程,调用此方法后,线程将抛出 {@link InterruptedException}异常 * @param thread 线程 * @param isJoin 是否等待结束 */ public static void interupt(Thread thread, boolean isJoin){ if(null != thread && false == thread.isInterrupted()){ thread.interrupt(); if(isJoin){ waitForDie(thread); } } } /** * 等待线程结束. 调用 {@link Thread#join()} 并忽略 {@link InterruptedException} * * @param thread 线程 */ public static void waitForDie(Thread thread) { boolean dead = false; do { try { thread.join(); dead = true; } catch (InterruptedException e) { //ignore } } while (!dead); } /** * 获取JVM中与当前线程同组的所有线程
* @return 线程对象数组 */ public static Thread[] getThreads(){ return getThreads(Thread.currentThread().getThreadGroup().getParent()); } /** * 获取JVM中与当前线程同组的所有线程
* 使用数组二次拷贝方式,防止在线程列表获取过程中线程终止
* from Voovan * * @param group 线程组 * @return 线程对象数组 */ public static Thread[] getThreads(ThreadGroup group){ final Thread[] slackList = new Thread[group.activeCount() * 2]; final int actualSize = group.enumerate(slackList); final Thread[] result = new Thread[actualSize]; System.arraycopy(slackList, 0, result, 0, actualSize); return result; } /** * 获取进程的主线程
* from Voovan * @return 进程的主线程 */ public static Thread getMainThread(){ for(Thread thread: getThreads()){ if(thread.getId()==1){ return thread; } } return null; } }




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