java中ThreadPoolExecutor并发调用的实例代码分析

java ThreadPoolExecutor 并发调用实例详解

概述

通常为了提供任务的处理速度,会使用一些并发模型，ThreadPoolExecutor中的invokeAll便是一种。

代码

package test.current;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;

public class TestCallable {

  public static void main(String[] args) throws InterruptedException, ExecutionException {

    List<Callable<List<Long>>> tasks = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
      Callable<List<Long>> task = new Callable<List<Long>>() {
        @Override
        public List<Long> call() throws Exception {
          return Arrays.asList(1L,2L);
        }
      };

      tasks.add(task);
    }

    List<Long> finalResults = new ArrayList<>(10);
    List<Future<List<Long>>> results = ThreadPool.getThreadPool().invokeAll(tasks);
    for(Future<List<Long>> ele : results) {
      List<Long> list = ele.get();
      finalResults.addAll(list);
    }

    System.out.println(finalResults);
  }
}

package test.current;

import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

public class ThreadPool {
  private static final int CORE_SIZE = 8;

  private static final int MAX_SIZE = 12;

  private static final long KEEP_ALIVE_TIME = 30;

  private static final int QUEUE_SIZE = 50000;

  private static ThreadPoolExecutor threadPool = new ThreadPoolExecutor(CORE_SIZE, MAX_SIZE, KEEP_ALIVE_TIME,
      TimeUnit.SECONDS, new ArrayBlockingQueue<Runnable>(QUEUE_SIZE), new ThreadPoolExecutor.AbortPolicy());

  public static ThreadPoolExecutor getThreadPool() {
    return threadPool;
  }
}

可以把需要执行的任务创建一个Callable task,利用线程池中的线程并发的执行这些task,从而提高任务的执行效率。

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