forkjoinpool

What's the advantage of a Java-5 ThreadPoolExecutor over a Java-7 ForkJoinPool?

倖福魔咒の 提交于 2019-11-29 20:09:53
Java 5 has introduced support for asynchronous task execution by a thread pool in the form of the Executor framework, whose heart is the thread pool implemented by java.util.concurrent.ThreadPoolExecutor. Java 7 has added an alternative thread pool in the form of java.util.concurrent.ForkJoinPool. Looking at their respective API, ForkJoinPool provides a superset of ThreadPoolExecutor's functionality in standard scenarios (though strictly speaking ThreadPoolExecutor offers more opportunities for tuning than ForkJoinPool). Adding to this the observation that fork/join tasks seem to be faster

Calling sequential on parallel stream makes all previous operations sequential

旧街凉风 提交于 2019-11-29 17:26:49
问题 I've got a significant set of data, and want to call slow, but clean method and than call fast method with side effects on result of the first one. I'm not interested in intermediate results, so i would like not to collect them. Obvious solution is to create parallel stream, make slow call , make stream sequential again, and make fast call. The problem is, ALL code executing in single thread, there is no actual parallelism. Example code: @Test public void testParallelStream() throws

Java ForkJoinPool with non-recursive tasks, does work-stealing work?

余生长醉 提交于 2019-11-29 05:20:26
问题 I want to submit Runnable tasks into ForkJoinPool via a method: forkJoinPool.submit(Runnable task) Note, I use JDK 7. Under the hood, they are transformed into ForkJoinTask objects. I know that ForkJoinPool is efficient when a task is split into smaller ones recursively. Question: Does work-stealing still work in the ForkJoinPool if there is no recursion? Is it worth it in this case? Update 1: Tasks are small and can be unbalanced. Even for strictly equal tasks, such things like context

Where does official documentation say that Java's parallel stream operations use fork/join?

浪尽此生 提交于 2019-11-28 21:13:01
Here's my understanding of the Stream framework of Java 8: Something creates a source Stream The implementation is responsible for providing a BaseStream#parallel() method, which in turns returns a Stream that can run it's operations in parallel. While someone has already found a way to use a custom thread pool with Stream framework's parallel executions, I cannot for the life of me find any mention in the Java 8 API that the default Java 8 parallel Stream implementations would use ForkJoinPool#commonPool() . ( Collection#parallelStream() , the methods in StreamSupport class, and others

What's the advantage of a Java-5 ThreadPoolExecutor over a Java-7 ForkJoinPool?

為{幸葍}努か 提交于 2019-11-28 15:58:54
问题 Java 5 has introduced support for asynchronous task execution by a thread pool in the form of the Executor framework, whose heart is the thread pool implemented by java.util.concurrent.ThreadPoolExecutor. Java 7 has added an alternative thread pool in the form of java.util.concurrent.ForkJoinPool. Looking at their respective API, ForkJoinPool provides a superset of ThreadPoolExecutor's functionality in standard scenarios (though strictly speaking ThreadPoolExecutor offers more opportunities

java Fork/Join pool, ExecutorService and CountDownLatch

ぃ、小莉子 提交于 2019-11-28 07:06:41
We have three different multi threading techniques in java - Fork/Join pool, Executor Service & CountDownLatch Fork/Join pool ( http://www.javacodegeeks.com/2011/02/java-forkjoin-parallel-programming.html ) The Fork/Join framework is designed to make divide-and-conquer algorithms easy to parallelize. That type of algorithms is perfect for problems that can be divided into two or more sub-problems of the same type. They use recursion to break down the problem to simple tasks until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a

Where does official documentation say that Java's parallel stream operations use fork/join?

試著忘記壹切 提交于 2019-11-27 13:36:16
问题 Here's my understanding of the Stream framework of Java 8: Something creates a source Stream The implementation is responsible for providing a BaseStream#parallel() method, which in turns returns a Stream that can run it's operations in parallel. While someone has already found a way to use a custom thread pool with Stream framework's parallel executions, I cannot for the life of me find any mention in the Java 8 API that the default Java 8 parallel Stream implementations would use

In which thread does CompletableFuture's completion handlers execute in?

夙愿已清 提交于 2019-11-27 04:30:59
I have a question about CompletableFuture method: public <U> CompletableFuture<U> thenApply(Function<? super T, ? extends U> fn) The thing is the JavaDoc says just this: Returns a new CompletionStage that, when this stage completes normally, is executed with this stage's result as the argument to the supplied function. See the CompletionStage documentation for rules covering exceptional completion. What about threading? In which thread this is going to be executed? What if the future is completed by a thread pool? The policies as specified in the CompletableFuture docs could help you

java Fork/Join pool, ExecutorService and CountDownLatch

孤街醉人 提交于 2019-11-27 01:43:20
问题 We have three different multi threading techniques in java - Fork/Join pool, Executor Service & CountDownLatch Fork/Join pool (http://www.javacodegeeks.com/2011/02/java-forkjoin-parallel-programming.html) The Fork/Join framework is designed to make divide-and-conquer algorithms easy to parallelize. That type of algorithms is perfect for problems that can be divided into two or more sub-problems of the same type. They use recursion to break down the problem to simple tasks until these become

In which thread does CompletableFuture&#39;s completion handlers execute in?

旧城冷巷雨未停 提交于 2019-11-26 08:23:14
问题 I have a question about CompletableFuture method: public <U> CompletableFuture<U> thenApply(Function<? super T, ? extends U> fn) The thing is the JavaDoc says just this: Returns a new CompletionStage that, when this stage completes normally, is executed with this stage\'s result as the argument to the supplied function. See the CompletionStage documentation for rules covering exceptional completion. What about threading? In which thread this is going to be executed? What if the future is