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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