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Run multiple call in parallel go generate object using Futures


Run multiple call in parallel go generate object using Futures

By : user3045339
Date : December 01 2020, 04:52 PM
Does that help The problem is that you return custom request before it was populated, because your return the object while it's still being populated in a different thread. If you want the object customRequest to be completely populated before returning it your need to wait for the CompletableFuture to finish by calling the method CompletableFuture.get() like this:
code :
public CustomRequest getCustomRequest(Member member, 
    Address address,Member member){
    CustomRequest customRequest = new CustomRequest();
    CompletableFuture.runAsync(() -> {
        populateAddress(address, customRequest);
        populatecontact(contact, customRequest);
        populateMemberDetails(member, customRequest);
    }).get();//EDIT: added get method here to wait for the execution
    return customRequest;
}
public CompletableFuture<CustomRequest> getCustomRequest(Member member, Address address, Member member){
    return CompletableFuture.supplyAsync(() -> {
        CustomRequest customRequest = new CustomRequest();
        populateAddress(address, customRequest);
        populatecontact(contact, customRequest);
        populateMemberDetails(member, customRequest);
        return customRequest;
    });
}
getCustomRequest(aMember, anAddress, anotherMember).thenAccept(populatedCustomRequest -> populatedCustomRequest.doSomethingUsefull());


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Run multiple futures in parallel, return default value on timeout

Run multiple futures in parallel, return default value on timeout


By : shamimahammed
Date : March 29 2020, 07:55 AM
With these it helps I have to run multiple futures in parallel and the program shouldn't crash or hang.
code :
def toFallback[T](f: Future[T], to: Int, default: T) = {
  future{
  try{
        Await.result(f, to seconds)
   }catch{
        case e:TimeoutException => default
  }
 }
How to run multiple futures that call thread::sleep in parallel?

How to run multiple futures that call thread::sleep in parallel?


By : hvhack
Date : March 29 2020, 07:55 AM
this one helps. If you combine futures with join() they'll be transformed into a single task, running on a single thread.
If the futures are well-behaved, they would run in parallel in an event-driven (asynchronous) manner. You would expect your application to sleep for 1 second.
code :
fn main() {
    let fut1 = SlowComputation {};
    let fut2 = SlowComputation {};

    let mut pool = ThreadPoolBuilder::new()
        .pool_size(5)
        .create()
        .expect("Failed to create threadpool");

    pool.spawn(fut1);
    pool.run(fut2);
}
How to dynamically generate parallel futures with for-yield

How to dynamically generate parallel futures with for-yield


By : Charlie Pontejos
Date : March 29 2020, 07:55 AM
this will help In question1, I understand that you want to exclude one entry (e.g B) from the sequence given some logic and in question2, you want to supress N entries from a total of M, and have the future computed on those results. We could generalize both cases to something like this:
How to implement a stream of futures for a blocking call using futures.rs and Redis PubSub?

How to implement a stream of futures for a blocking call using futures.rs and Redis PubSub?


By : DingXuan
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Heavy caveat I've never used this library before, and my low-level knowledge of some of the concepts is a bit... lacking. Mostly I'm reading through the tutorial. I'm pretty sure anyone who has done async work will read this and laugh, but it may be a useful starting point for other people. Caveat emptor!
How to perform future of futures in parallel and wait for them to complete (running in parallel)

How to perform future of futures in parallel and wait for them to complete (running in parallel)


By : Juan Ito
Date : March 29 2020, 07:55 AM
I wish this help you I want to perform "flows" where each flow is performed in parallel. Each flow in itself performs operations using futures: , Works on my machine:
code :
  import ExecutionContext.Implicits.global

  def doFlow(chunk: Int): Seq[Future[Int]] = {
    (1 to 5) map { i =>
      Future {
        println(s"--> chunk $chunk idx $i")
        Thread.sleep(1000)
        println(s"<-- chunk $chunk idx $i")
        0
      }
    }
  }


  val sequence: Seq[Seq[Future[Int]]] = (1 to 5) map {
    iter => doFlow(iter)
  }
  val flat: Seq[Future[Int]] = sequence.flatten
  val futureSeq = Future.sequence(flat)
  Await.ready(futureSeq, scala.concurrent.duration.Duration.Inf)
--> chunk 1 idx 2

--> chunk 1 idx 4

--> chunk 1 idx 1

--> chunk 1 idx 3

--> chunk 2 idx 1

--> chunk 1 idx 5

--> chunk 2 idx 3

--> chunk 2 idx 2

<-- chunk 1 idx 2

<-- chunk 2 idx 1

<-- chunk 1 idx 3

--> chunk 2 idx 5

--> chunk 3 idx 1

<-- chunk 1 idx 1

<-- chunk 1 idx 5

<-- chunk 1 idx 4

--> chunk 3 idx 3

--> chunk 2 idx 4
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