标签:固定 time car cache cto ice public run cal
线程池要在执行execute时才会正式创建线程
public ThreadPoolExecutor(int corePoolSize,
int maximumPoolSize,
long keepAliveTime,
TimeUnit unit,
BlockingQueue<Runnable> workQueue,
ThreadFactory threadFactory,
RejectedExecutionHandler handler)
线程池7大参数
corePoolSize:线程池中心的常驻核心线程数
maximumPoolSize:线程池中能够容纳同时执行的最大线程数,此值必须要大于等于!
keepAliveTime:多余的空间线程的存活时间,当前池中线程数量超过corePoolSize时,当空闲时间达到keepAliveTime,多余线程会被销毁直到只剩下corePoolSize个线程为止
TimeUnit:KeepAliveTime的单位
workQueue:任务队列,被提交但尚未被执行的任务
threadFactory:表示生成线程池中工作线程的线程工厂,用于创建线程,一般默认即可
handler:拒绝策略,表示当前队列满了,并且工作线程大于等于线程池的最大线程数时如何拒绝请求执行的runnable的策略
public static ExecutorService newFixedThreadPool(int nThreads, ThreadFactory threadFactory) {
return new ThreadPoolExecutor(nThreads, nThreads,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>(),
threadFactory);
}
public ThreadPoolExecutor(int corePoolSize,
int maximumPoolSize,
long keepAliveTime,
TimeUnit unit,
BlockingQueue<Runnable> workQueue,
ThreadFactory threadFactory) {
this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
threadFactory, defaultHandler);
在实际工作中
newFixedThreadPool(固定)
newSingleThreadExecutor(单一)
newCachedThreadPool(可变)
的这三个接口都不用,原因在于
(1)FixedThreadPool 和 SingleThreadPool 允许的请求队列长度为Integer.MAX_VALUE,可能会堆积大量的请求,从而导致OOM
(2)CachedThreadPool 和 ScheduledThreadPool 允许的请求队列长度为Integer.MAX_VALUE,可能会堆积大量的线程,从而导致OOM
例子
public class MyThreadPoolDemo {
public static void main(String[] args) {
ExecutorService threadPool = new ThreadPoolExecutor(
2,
5,
3L,
TimeUnit.SECONDS,
new ArrayBlockingQueue<Runnable>(3),
Executors.defaultThreadFactory(),
new ThreadPoolExecutor.DiscardPolicy()
//new ThreadPoolExecutor.DiscardOldestPolicy()
//new ThreadPoolExecutor.CallerRunsPolicy()
//new ThreadPoolExecutor.AbortPolicy()
);
try {
for (int i = 1; i <=10 ; i++) {
threadPool.execute(()->{
System.out.println(Thread.currentThread().getName()
+"\t 号业务员办理业务");
});
}
} catch (Exception e) {
e.printStackTrace();
} finally {
threadPool.shutdown();
}
}
private static void threadPool() {
ExecutorService threadPool = Executors.newFixedThreadPool(3);//银行网点3个窗口
ExecutorService threadPool2 = Executors.newSingleThreadExecutor();//银行网点1个窗口
ExecutorService threadPool3 = Executors.newCachedThreadPool();//银行网点可扩展窗口
try {
for (int i = 1; i <=30 ; i++) {
threadPool3.execute(()->{
System.out.println(Thread.currentThread().getName()
+"\t 号业务员办理业务");
});
}
} catch (Exception e) {
e.printStackTrace();
} finally {
threadPool3.shutdown();
}
}
}
标签:固定 time car cache cto ice public run cal
原文地址:https://www.cnblogs.com/hpdblogs/p/12501687.html