Question

情况：

有许多阻塞同步调用（这是一个无法更改的给定调用），这可能需要很长时间才能聚合结果。

目标：

使呼叫无阻塞，然后等待最长时间（ms）并收集所有已成功的呼叫，即使有些可能因为超时而失败（因此我们可以降低失败呼叫的功能）。

当前解决方案：

下面的解决方案通过组合期货，等待那个期货完成或超时，并且在NonFatal错误（超时）的情况下，它使用completedFutureValues方法提取成功完成的期货。< / p>

  import scala.concurrent.{Await, Future}
  import scala.util.Random._
  import scala.concurrent.duration._
  import scala.concurrent.ExecutionContext.Implicits.global
  import scala.util.{Failure, Success}
  import scala.util.control.NonFatal

  def potentialLongBlockingHelloWorld(i: Int): String = {Thread.sleep(nextInt(500)); s"hello world $i" }

  // use the same method 3 times, but in reality is different methods (with different types)
  val futureHelloWorld1 = Future(potentialLongBlockingHelloWorld(1))
  val futureHelloWorld2 = Future(potentialLongBlockingHelloWorld(2))
  val futureHelloWorld3 = Future(potentialLongBlockingHelloWorld(3))

  val combinedFuture: Future[(String, String, String)] = for {
    hw1 <- futureHelloWorld1
    hw2 <- futureHelloWorld2
    hw3 <- futureHelloWorld3
  } yield (hw1, hw2, hw3)

  val res = try {
    Await.result(combinedFuture, 250.milliseconds)
  } catch {
    case NonFatal(_) => {
      (
        completedFutureValue(futureHelloWorld1, "fallback hello world 1"),
        completedFutureValue(futureHelloWorld2, "fallback hello world 2"),
        completedFutureValue(futureHelloWorld3, "fallback hello world 3")
      )
    }
  }

  def completedFutureValue[T](future: Future[T], fallback: T): T =
    future.value match {
      case Some(Success(value)) => value
      case Some(Failure(e)) =>
        fallback
      case None =>
        fallback
    }

它将返回tuple3，其中包含已完成的未来结果或后备，例如： (hello world,fallback hello world 2,fallback hello world 3)

虽然这有效，但我对此并不特别满意。

问题：

我们如何才能改善这一点？

Answer 1

如果我也建议采用一种方法。想法是避免一起阻塞，并在每个未来实际设置超时。这是一篇博文，我发现在做我的例子时非常有用，它有点陈旧，但是黄金的东西：

https://nami.me/2015/01/20/scala-futures-with-timeout/

这方面的一个负面观点是你可能需要在解决方案中添加akka，但是再次它并不是完全丑陋的：

  import akka.actor.ActorSystem
  import akka.pattern.after

  import scala.concurrent.ExecutionContext.Implicits.global
  import scala.concurrent.duration.{FiniteDuration, _}
  import scala.concurrent.{Await, Future}
  import scala.util.Random._

  implicit val system = ActorSystem("theSystem")

  implicit class FutureExtensions[T](f: Future[T]) {
    def withTimeout(timeout: => Throwable)(implicit duration: FiniteDuration, system: ActorSystem): Future[T] = {
      Future firstCompletedOf Seq(f, after(duration, system.scheduler)(Future.failed(timeout)))
    }
  }

  def potentialLongBlockingHelloWorld(i: Int): String = {
    Thread.sleep(nextInt(500)); s"hello world $i"
  }

  implicit val timeout: FiniteDuration = 250.milliseconds

  val timeoutException = new TimeoutException("Future timed out!")

  // use the same method 3 times, but in reality is different methods (with different types)
  val futureHelloWorld1 = Future(potentialLongBlockingHelloWorld(1)).withTimeout(timeoutException).recoverWith { case _ ⇒ Future.successful("fallback hello world 1") }
  val futureHelloWorld2 = Future(potentialLongBlockingHelloWorld(2)).withTimeout(timeoutException).recoverWith { case _ ⇒ Future.successful("fallback hello world 2") }
  val futureHelloWorld3 = Future(potentialLongBlockingHelloWorld(3)).withTimeout(timeoutException).recoverWith { case _ ⇒ Future.successful("fallback hello world 3") }

  val results = Seq(futureHelloWorld1, futureHelloWorld2, futureHelloWorld3)

  val combinedFuture = Future.sequence(results)

  // this is just to show what you would have in your future
  // combinedFuture is not blocking anything
  val justToShow = Await.result(combinedFuture, 1.seconds)
  println(justToShow)
  // some of my runs:
  // List(hello world 1, hello world 2, fallback hello world 3)
  // List(fallback hello world 1, fallback hello world 2, hello world 3)

使用这种方法没有阻塞，你在每个阶段都有一个超时，这样你就可以微调并适应你真正需要的东西。我正在使用的只是为了说明这是如何工作的。

Answer 2

在这里发布由同事提供的解决方案，该解决方案基本上与问题中提供的解决方案相同，但使其更加干净。

使用他的解决方案可以写：

(
  Recoverable(futureHelloWorld1, "fallback hello world 1"),
  Recoverable(futureHelloWorld2, "fallback hello world 1"),
  Recoverable(futureHelloWorld3, "fallback hello world 1")
).fallbackAfter(250.milliseconds) {
  case (hw1, hw2, hw3) =>
    // Do something with the results.
    println(hw1.value)
    println(hw2.value)
    println(hw3.value)
}

这可以使用期货元组和后备。使这成为可能的代码：

import org.slf4j.LoggerFactory
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
import scala.concurrent.{Await, ExecutionContext, Future, TimeoutException}
import scala.util.Try
import scala.util.control.NonFatal

sealed abstract class FallbackFuture[T] private(private val future: Future[T]) {
  def value: T
}

object FallbackFuture {
  final case class Recoverable[T](future: Future[T], fallback: T) extends FallbackFuture[T](future) {
    override def value: T = {
      if (future.isCompleted) future.value.flatMap(t => t.toOption).getOrElse(fallback)
      else fallback
    }
  }

  object Recoverable {
    def apply[T](fun: => T, fallback: T)(implicit ec: ExecutionContext): FallbackFuture[T] = {
      new Recoverable[T](Future(fun), fallback)
    }
  }

  final case class Irrecoverable[T](future: Future[T]) extends FallbackFuture[T](future) {
    override def value: T = {
      def except = throw new IllegalAccessException("Required future did not compelete before timeout")
      if (future.isCompleted) future.value.flatMap(_.toOption).getOrElse(except)
      else except
    }
  }

  object Irrecoverable {
    def apply[T](fun: => T)(implicit ec: ExecutionContext): FallbackFuture[T] = {
      new Irrecoverable[T](Future(fun))
    }
  }

  object Implicits {
    private val logger = LoggerFactory.getLogger(Implicits.getClass)

    type FF[X] = FallbackFuture[X]

    implicit class Tuple2Ops[V1, V2](t: (FF[V1], FF[V2])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple3Ops[V1, V2, V3](t: (FF[V1], FF[V2], FF[V3])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple4Ops[V1, V2, V3, V4](t: (FF[V1], FF[V2], FF[V3], FF[V4])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple5Ops[V1, V2, V3, V4, V5](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple6Ops[V1, V2, V3, V4, V5, V6](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple7Ops[V1, V2, V3, V4, V5, V6, V7](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple8Ops[V1, V2, V3, V4, V5, V6, V7, V8](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple9Ops[V1, V2, V3, V4, V5, V6, V7, V8, V9](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8], FF[V9])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8], FF[V9])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    implicit class Tuple10Ops[V1, V2, V3, V4, V5, V6, V7, V8, V9, V10](t: (FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8], FF[V9], FF[V10])) {
      def fallbackAfter[R](timeout: Duration)(fn: ((FF[V1], FF[V2], FF[V3], FF[V4], FF[V5], FF[V6], FF[V7], FF[V8], FF[V9], FF[V10])) => R): R =
        awaitAll(timeout, t) {
          fn(t)
        }
    }

    private implicit def toFutures(fallbackFuturesTuple: Product): Seq[Future[Any]] = {
      fallbackFuturesTuple.productIterator.toList
        .map(_.asInstanceOf[FallbackFuture[Any]])
        .map(_.future)
    }

    private def awaitAll[R](timeout: Duration, futureSeq: Seq[Future[Any]])(fn: => R) = {
      Try {
        Await.ready(Future.sequence(futureSeq), timeout)
      } recover {
        case _: TimeoutException => logger.warn("Call timed out")
        case NonFatal(ex) => throw ex
      }
      fn
    }
  }
}

Answer 3

一旦（据我所知）你将阻止当前线程并同步等待结果，我会说最简单的解决方案应该是：

import java.util.concurrent.atomic.AtomicReference

import scala.concurrent.{Await, Future}
import scala.util.Random._
import scala.concurrent.ExecutionContext.Implicits.global

def potentialLongBlockingHelloWorld(i: Int): String = {Thread.sleep(nextInt(500)); s"hello world $i" }


// init with fallback
val result1 = new AtomicReference[String]("fallback hello world 1")
val result2 = new AtomicReference[String]("fallback hello world 2")
val result3 = new AtomicReference[String]("fallback hello world 3")

// use the same method 3 times, but in reality is different methods (with different types)
val f1 = Future(potentialLongBlockingHelloWorld(1)).map {res =>
  result1.set(res)
}
val f2 = Future(potentialLongBlockingHelloWorld(2)).map {res =>
  result2.set(res)
}
val f3 = Future(potentialLongBlockingHelloWorld(3)).map {res =>
  result1.set(res)
}

for (i <- 1 to 5 if !(f1.isCompleted && f2.isCompleted && f3.isCompleted)) {
  Thread.sleep(50)
}

(result1.get(), result2.get(), result3.get())

在这里，您只需在AtomicReferences中引入结果，这些结果将在未来完成时更新，并且检查结果并勾选所有期货已完成或最多250毫秒（超时）并带有刻度。

或者，您可以使用后备和超时从here扩展Future with timeout实施，而不仅仅使用Future.sequence和Await，并保证所有Futures都将在 - 成功或后退的时间。

Answer 4

可能最好使用Future.sequence（）从Collection [Future]中返回Future [Collection]

Answer 5

为什么不写：

val futures: f1 :: f2 :: f3 :: Nil
val results = futures map { f =>
    Await.result(f, yourTimeOut)
}
results.collect {
    case Success => /* your logic */
}

???

Scala：等待一系列期货的超时，然后收集完成的结果

情况：

目标：

当前解决方案：

问题：

5 个答案: