如何 运行 Akka Streams 图形在一个单独的调度器上超时?

How to run Akka Streams graph on a separate dispatcher with timeout?

这个问题是基于我做的一个宠物项目和这个 线程。在 Akka HTTP 路由定义中,我启动了一个 long-运行 进程,我自然希望在不阻塞用户的情况下执行此操作。我可以使用以下代码片段实现此目的:

blocking-io-dispatcher {
  type = Dispatcher
  executor = "thread-pool-executor"
  thread-pool-executor {
    fixed-pool-size = 16
  }
  throughput = 1
}

complete {
  Try(new URL(url)) match {
    case scala.util.Success(u) => {
      val src = Source.fromIterator(() => parseMovies(u).iterator)

      src
        .via(findMovieByTitleAndYear)
        .via(persistMovies)
        .toMat(Sink.fold(Future(0))((acc, elem) => Applicative[Future].map2(acc, elem)(_ + _)))(Keep.right)
        // run the whole graph on a separate dispatcher
        .withAttributes(ActorAttributes.dispatcher("blocking-io-dispatcher"))
        .run.flatten
        .onComplete {
          _ match {
            case scala.util.Success(n) => logger.info(s"Created $n movies")
            case Failure(t) => logger.error(t, "Failed to process movies")
          }
        }

      Accepted
    }
    case Failure(t) => logger.error(t, "Bad URL"); BadRequest -> "Bad URL"
  }
}

如果我已经解决了,那还有什么问题呢?问题是我不确定如何设置超时。图的执行创建了一个 Future,该 Future 在专用的 blocking-io-dispatcher 上执行直到完成。如果我添加一个 Await 调用,代码就会阻塞。有没有办法设置超时?

completionTimeout stage 应该在这里有所帮助。示例如下:

src
    .completionTimeout(5.seconds)
    ...
    .run.flatten
    .onComplete {
        case scala.util.Success(n) => logger.info(s"Created $n movies")
        case Failure(t: TimeoutException) => logger.error(t, "Timed out")
        case Failure(t) => logger.error(t, "Failed to process movies")
    }

文档参考 here.