ExecutorService,另一种服务,线程
http://heipark.iteye.com/blog/1393847
Executors.newFixedThreadPool和ArrayBlockingQueue一点使用心得
-
博客分类:
- Java
newFixedThreadPool使用范例:
- import java.io.IOException;
- import java.util.concurrent.ExecutorService;
- import java.util.concurrent.Executors;
- public class Test {
- public static void main(String[] args) throws IOException, InterruptedException {
- ExecutorService service = Executors.newFixedThreadPool(2);
- for (int i = 0; i < 6; i++) {
- final int index = i;
- System.out.println("task: " + (i+1));
- Runnable run = new Runnable() {
- @Override
- public void run() {
- System.out.println("thread start" + index);
- try {
- Thread.sleep(Long.MAX_VALUE);
- } catch (InterruptedException e) {
- e.printStackTrace();
- }
- System.out.println("thread end" + index);
- }
- };
- service.execute(run);
- }
- }
- }
输出:
task: 1
task: 2
thread start0
task: 3
task: 4
task: 5
task: 6
task: 7
thread start1
task: 8
task: 9
task: 10
task: 11
task: 12
task: 13
task: 14
task: 15
task: 2
thread start0
task: 3
task: 4
task: 5
task: 6
task: 7
thread start1
task: 8
task: 9
task: 10
task: 11
task: 12
task: 13
task: 14
task: 15
从实例可以看到for循环并没有被固定的线程池阻塞住,也就是说所有的线程task都被提交到了ExecutorService中,查看 Executors.newFixedThreadPool()如下:
public static ExecutorService newFixedThreadPool(int nThreads) {
return new ThreadPoolExecutor(nThreads, nThreads,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>());
}
return new ThreadPoolExecutor(nThreads, nThreads,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>());
}
可以看到task被提交都了LinkedBlockingQueue中。这里有个问题,如果任务列表很大,一定会把内存撑爆,如何解决?看下面:
- import java.io.IOException;
- import java.util.concurrent.ArrayBlockingQueue;
- import java.util.concurrent.BlockingQueue;
- import java.util.concurrent.ThreadPoolExecutor;
- import java.util.concurrent.TimeUnit;
- public class Test {
- public static void main(String[] args) throws IOException, InterruptedException {
- BlockingQueue<Runnable> queue = new ArrayBlockingQueue<Runnable>(3);
- ThreadPoolExecutor executor = new ThreadPoolExecutor(3, 3, 1, TimeUnit.HOURS, queue, new ThreadPoolExecutor.CallerRunsPolicy());
- for (int i = 0; i < 10; i++) {
- final int index = i;
- System.out.println("task: " + (index+1));
- Runnable run = new Runnable() {
- @Override
- public void run() {
- System.out.println("thread start" + (index+1));
- try {
- Thread.sleep(Long.MAX_VALUE);
- } catch (InterruptedException e) {
- e.printStackTrace();
- }
- System.out.println("thread end" + (index+1));
- }
- };
- executor.execute(run);
- }
- }
- }
输出:
task: 1
task: 2
thread start1
task: 3
task: 4
task: 5
task: 6
task: 7
thread start2
thread start7
thread start6
task: 2
thread start1
task: 3
task: 4
task: 5
task: 6
task: 7
thread start2
thread start7
thread start6
线程池最大值为4(??这里我不明白为什么是设置值+1,即3+1,而不是3),准备执行的任务队列为3。可以看到for循环先处理4个task,然后把3个放到队列。这样就实现了自动阻塞队列的效果。记得要使用ArrayBlockingQueue这个队列,然后设置容量就OK了。
--heipark