您不应该在 Java EE 中使用 ForkJoinPool。只有应用服务器应该提供并行结构(如 Java EE 7 中的ManagedExecutorService),因为线程必须由容器管理。
奇怪的是,这个答案中提到的邮件列表中有一条消息声称 ForkJoinPool 将优雅地降级为 EE 容器中的单线程。我已经用 glassfish 4.1 对此进行了测试,并创建了通常的线程。运行此代码:
@Singleton
public class SomeSingleton {
public void fireStream() {
IntStream.range(0, 32)
.parallel()
.mapToObj(i -> String.format("Task %d on thread %s",
i, Thread.currentThread().getName()))
.forEach(System.out::println);
}
}
我得到以下输出:
Info: Task 20 on thread http-listener-1(4)
Info: Task 10 on thread ForkJoinPool.commonPool-worker-3
Info: Task 21 on thread http-listener-1(4)
Info: Task 11 on thread ForkJoinPool.commonPool-worker-3
Info: Task 22 on thread http-listener-1(4)
Info: Task 8 on thread ForkJoinPool.commonPool-worker-3
Info: Task 23 on thread http-listener-1(4)
Info: Task 9 on thread ForkJoinPool.commonPool-worker-3
Info: Task 18 on thread http-listener-1(4)
Info: Task 14 on thread ForkJoinPool.commonPool-worker-3
Info: Task 19 on thread http-listener-1(4)
Info: Task 15 on thread ForkJoinPool.commonPool-worker-3
Info: Task 16 on thread http-listener-1(4)
Info: Task 17 on thread http-listener-1(4)
Info: Task 4 on thread http-listener-1(4)
Info: Task 5 on thread http-listener-1(4)
Info: Task 6 on thread http-listener-1(4)
Info: Task 7 on thread http-listener-1(4)
Info: Task 2 on thread http-listener-1(4)
Info: Task 3 on thread http-listener-1(4)
Info: Task 0 on thread http-listener-1(4)
Info: Task 1 on thread http-listener-1(4)
Info: Task 26 on thread http-listener-1(4)
Info: Task 27 on thread http-listener-1(4)
Info: Task 24 on thread http-listener-1(4)
Info: Task 25 on thread http-listener-1(4)
Info: Task 12 on thread http-listener-1(4)
Info: Task 13 on thread http-listener-1(4)
Info: Task 30 on thread http-listener-1(4)
Info: Task 31 on thread http-listener-1(4)
Info: Task 28 on thread ForkJoinPool.commonPool-worker-0
Info: Task 29 on thread ForkJoinPool.commonPool-worker-0
当大多数单独的规范将利用 SE 8 特性时,Java EE 8 上可能会出现降级。
编辑
我检查了 glassfish 4.1.1 的源代码,并没有单独使用ForkJoinPool
,ForkJoinWorkerThreadFactory
或ForkJoinWorkerThread
. 因此,应用服务器管理的并行资源不基于任何这些结构。不幸的是,实际上没有可用的降级机制。