How can I execute multiple tasks in Scala?

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挽巷
挽巷 2021-01-30 04:33

I have 50,000 tasks and want to execute them with 10 threads. In Java I should create Executers.threadPool(10) and pass runnable to is then wait to process all. Scala as I under

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  •  佛祖请我去吃肉
    2021-01-30 04:47

    Scala 2.9.3 and later

    THe simplest approach is to use the scala.concurrent.Future class and associated infrastructure. The scala.concurrent.future method asynchronously evaluates the block passed to it and immediately returns a Future[A] representing the asynchronous computation. Futures can be manipulated in a number of non-blocking ways, including mapping, flatMapping, filtering, recovering errors, etc.

    For example, here's a sample that creates 10 tasks, where each tasks sleeps an arbitrary amount of time and then returns the square of the value passed to it.

    import scala.concurrent.duration._
    import scala.concurrent.ExecutionContext.Implicits.global
    
    val tasks: Seq[Future[Int]] = for (i <- 1 to 10) yield future {
      println("Executing task " + i)
      Thread.sleep(i * 1000L)
      i * i
    }
    
    val aggregated: Future[Seq[Int]] = Future.sequence(tasks)
    
    val squares: Seq[Int] = Await.result(aggregated, 15.seconds)
    println("Squares: " + squares)
    

    In this example, we first create a sequence of individual asynchronous tasks that, when complete, provide an int. We then use Future.sequence to combine those async tasks in to a single async task -- swapping the position of the Future and the Seq in the type. Finally, we block the current thread for up to 15 seconds while waiting for the result. In the example, we use the global execution context, which is backed by a fork/join thread pool. For non-trivial examples, you probably would want to use an application specific ExecutionContext.

    Generally, blocking should be avoided when at all possible. There are other combinators available on the Future class that can help program in an asynchronous style, including onSuccess, onFailure, and onComplete.

    Also, consider investigating the Akka library, which provides actor-based concurrency for Scala and Java, and interoperates with scala.concurrent.

    Scala 2.9.2 and prior

    This simplest approach is to use Scala's Future class, which is a sub-component of the Actors framework. The scala.actors.Futures.future method creates a Future for the block passed to it. You can then use scala.actors.Futures.awaitAll to wait for all tasks to complete.

    For example, here's a sample that creates 10 tasks, where each tasks sleeps an arbitrary amount of time and then returns the square of the value passed to it.

    import scala.actors.Futures._
    
    val tasks = for (i <- 1 to 10) yield future {
      println("Executing task " + i)
      Thread.sleep(i * 1000L)
      i * i
    }
    
    val squares = awaitAll(20000L, tasks: _*)
    println("Squares: " + squares)
    

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