目录
- 前景引入
- 批量异步实现
- CompletionService
- 如何创建CompletionService
- CompletionService初体验
- CompletionService接口说明
- 总结
前景引入
我们知道线程池可以执行异步任务,同时可以通过返回值Future获取返回值,所以异步任务大多数采用ThreadPoolExecutor+Future,如果存在如下情况,需要从任务一二三中获取返回值后,保存到数据库中,用异步逻辑实现代码应该如下所示。
public static void main(String[] args) throws ExecutionException, InterruptedException { ExecutorService executorService = Executors.www.devze.comnewFixedThreadPool(3); Future<Integer> f1 = executorService.submit(() -> { System.out.println("执行任务一"); return 1; }); Future<Integer> f2 = executorService.submit(() -> { System.out.println("执行任务二"); return 2; }); Future<Integer> f3 = executorService.submit(() -> { System.out.println("执行任务三"); return 3; }); Integer r1 = f1.get(); executorService.execute(()->{ // 省略保存r1操作 System.out.println(r1); }); Integer r2 = f2.get(); executorService.execute(()->{ // 省略保存r2操作 System.out.println(r2); }); Integer r3 = f3.get(); executorService.execute(()->{ // 省略保编程客栈存r3操作 System.out.println(r3); }); executorService.shutdown(); }
这样写的代码一点毛病没有,逻辑都是正常的,但如果存在任务一查询了比较耗时的操作,由于f1.get是阻塞执行,那么就算任务二和任务三已经返回结果,任务二的返回值和任务三的返回值都是不能保存到数据库的,因为f1.get将主线程阻塞了。
批量异步实现
那可以如何处理呢?可以采用万能的阻塞队列,任务先执行完毕的先入队,这样可以保证其它线程入库的速度不受影响,提高效率。
public static void main(String[] args) throws ExecutionException, InterruptedException { ExecutorService executorService = Executors.newFixedThreadPool(3); ArrayblockingQueue<Integer> queue = new ArrayBlockingQueue(3); Future<Integer> f1 = executorService.submit(() -> { System.out.println("执行任务一"); Thread.sleep(5000); return 1; }); Future<Integer> f2 = executorService.submit(() -> { System.out.println("执行任务二"); return 2; }); Future<Integer> f3 = executorService.submit(() -> { System.out.println("执行任务三"); Thread.sleep(www.devze.com3000); return 3; }); executorService.execute(()->{ try { Integer r1 = f1.get(); // 阻塞队列入队操作 queue.put(r1); System.out.println(r1); } catch (Exception e) { e.printStackTrace(); } }); executorService.execute(()->{ try { Integer r2 = f2.get(); queue.put(r2); System.out.println(r2); } catch (Exception e) { e.printStackTrace(); } }); executorService.execute(()->{ try { Integer r3 = f3.get(); queue.put(r3); System.out.println(r3); } catch (Exception e) { e.printStackTrace(); } }); // 循环次数不要使用queue.sizandroide限制,因为不同时刻queue.size值是有可能不同的 for (int i = 0; i <3; i++) { Integer integer = queue.take(); // 省略保存integer操作 executorService.execute(()->{ System.out.println("保存入库=="+integer); }); } executorService.shutdown(); }
产生结果如下
同样的在生产中不建议使用,因为SDK为我们提供了工具类CompletionService,CompletionService内部就维护了一个阻塞队列,唯一与上述代码实现有所区别的是,阻塞队列入库的是Future对象,其余原理类似。
CompletionService
如何创建CompletionService
CompletionService同样是一个接口,其具体实现为ExecutorCompletionService,创建CompletionService对象有两种方式
public ExecutorCompletionService(Executor executor); public ExecutorCompletionService(Executor executor,BlockingQueue<Future<V>> completionQueue)
CompletionService对象的创建都是需要指定线程池,如果在创建时没有传入阻塞对象,那么会采用默认的LinkedBlockingQueue无界阻塞队列,如果应用到生产可能会产生OOM的情况,这是需要注意的。
CompletionService初体验
CompletionService如何做到批量执行异步任务呢,将上述场景采用CompletionService实现下
public static void main(String[] args) throws InterruptedException, ExecutionException { ExecutorService executorService = Executors.newFixedThreadPool(3); CompletionService completionService = new ExecutorCompletionService(executorService); Future<Integer> f1 = completionService.submit(() -> { System.out.println("执行任务一"); Thread.sleep(5000); return 1; }); Future<Integer> f2 = completionService.submit(() -> { System.out.println("执行任务二"); return 2; }); Future<Integer> f3 = completionService.submit(() -> { System.out.println("执行任务三"); Thread.sleep(3000); return 3; }); for (int i = 0; i <3 ; i++) { Future take = completionService.take(); Integer integer = (Integer) take.get(); executorService.execute(()->{ System.out.println("执行入库=="+integer); }); } executorService.shutdown(); }
CompletionService接口说明
CompletionService的方法不多,使用起来比较简单,方法签名如下
public static void main(String[] args) throws InterruptedException, ExecutionException { ExecutorService executorService = Executors.newFixedThreadPool(3); CompletionService completionService = new ExecutorCompletionService(executorService); Future<Integer> f1 = completionService.submit(() -> { System.out.println("执行任务一"); Thread.sleep(5000); return 1; }); Future<Integer> f2 = completionService.submit(() -> { System.out.println("执行任务二"); return 2; }); Future<Integer> f3 = completionService.submit(() -> { System.out.println("执行任务三"); Thread.sleep(3000); return 3; }); for (int i = 0; i <3 ; i++) { Future take = completionService.take(); Integer integer = (Integer) take.get()www.devze.com; executorService.execute(()->{ System.out.println("执行入库=="+integer); }); } executorService.shutdown(); }
总结
CompletionService主要是去解决无效等待的问题,如果一个耗时较长的任务在执行,那么可以采用这种方式避免无效的等待
CompletionService还能让异步任务的执行结果有序化,先执行完就先进入阻塞队列。
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