import java.util.ArrayList; import java.util.List; import java.util.concurrent.Callable; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import java.util.concurrent.Future; /** * 线程池测试案例 */ public class ThreadPoolTest { public static void main(String[] args) throws Exception { // 开始时间 long start = System.currentTimeMillis(); List list = new ArrayList(); for (int i = 1; i <= 3000; i++) { list.add(i + ""); } // 每500条数据开启一条线程 int threadSize = 500; // 总数据条数 int dataSize = list.size(); // 线程数 int threadNum = dataSize / threadSize + 1; // 定义标记,过滤threadNum为整数 boolean special = dataSize % threadSize == 0; // 创建一个线程池 ExecutorService exec = Executors.newFixedThreadPool(threadNum); // 定义一个任务集合 List> tasks = new ArrayList>(); Callable task = null; List cutList = null; // 确定每条线程的数据 for (int i = 0; i < threadNum; i++) { if (i == threadNum - 1) { if (special) { break; } cutList = list.subList(threadSize * i, dataSize); } else { cutList = list.subList(threadSize * i, threadSize * (i + 1)); } final List listStr = cutList; task = new Callable() { @Override public Integer call() throws Exception { System.out.println(Thread.currentThread().getName() + "线程:" + listStr); return 1; } }; // 这里提交的任务容器列表和返回的Future列表存在顺序对应的关系 tasks.add(task); } List> results = exec.invokeAll(tasks); for (Future future : results) { System.out.println(future.get()); } // 关闭线程池 exec.shutdown(); System.out.println("线程任务执行结束"); System.err.println("执行任务消耗了 :" + (System.currentTimeMillis() - start) + "毫秒"); } }