线程池使用
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
public class ExecutorUtils {
private static final ThreadPoolExecutor executor;
static {
final int max = Runtime.getRuntime().availableProcessors() * 2;
executor = new ThreadPoolExecutor(max, max, 30
, TimeUnit.SECONDS
, new LinkedBlockingDeque<>()
, Executors.defaultThreadFactory(), new ThreadPoolExecutor.AbortPolicy());
executor.allowCoreThreadTimeOut(true);
}
public static void submit(Runnable task) {
log();
executor.submit(task);
}
public static <T> Future<T> submit(Callable<T> task) {
log();
return executor.submit(task);
}
private static void log() {
printThreadPoolStatus(executor, "JOB_WORKERS");
if (executor.getTaskCount() > Runtime.getRuntime().availableProcessors() * 2) {
System.out.println("Too many pending tasks (" + executor.getTaskCount() + ")");
}
}
public static void printThreadPoolStatus(ExecutorService executorService, String serviceName) {
ThreadPoolExecutor executor = (ThreadPoolExecutor) executorService;
Object[] args = {
serviceName,
executor.getKeepAliveTime(TimeUnit.SECONDS),
executor.getPoolSize(),
executor.getQueue().size(),
executor.getTaskCount(),
executor.getCompletedTaskCount()
};
System.out.println(args[0] + " keep alive time:" +
args[1] + ", poolSize:" +
args[2] + ", waiting queue size:" +
args[3] + ", task count:" +
args[4] + ", completed task size:" +
args[5]);
}
public static class Task implements Runnable {
@Override
public void run() {
System.out.println("开始" + Thread.currentThread().getName());
try {
Thread.sleep(10000L);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
public static void main(String[] args) {
for (int i = 0; i < 10; i++) {
submit(new Task());
}
}
}
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 【自荐】一款简洁、开源的在线白板工具 Drawnix
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
· Docker 太简单,K8s 太复杂?w7panel 让容器管理更轻松!