Akka Streams入门我想执行一个简单的计算。通过调用静态Web api扩展基本的QuickStart https://doc.akka.io/docs/akka/2.5/stream/stream-quickstart.html:
val source: Source[Int, NotUsed] = Source(1 to 100)
source.runForeach(println)
已经可以很好地打印数字了。但是,根据https://doc.akka.io/docs/akka/2.5.5/scala/stream/stream-integrations.html
尝试创建Actor来执行HTTP请求时(实际上是否有必要?)。 import akka.pattern.ask
implicit val askTimeout = Timeout(5.seconds)
val words: Source[String, NotUsed] =
Source(List("hello", "hi"))
words
.mapAsync(parallelism = 5)(elem => (ref ? elem).mapTo[String])
// continue processing of the replies from the actor
.map(_.toLowerCase)
.runWith(Sink.ignore)
由于未定义?
运算符,因此无法进行编译。据我所知,这个角色只能在演员内部定义。
我还不知道我的自定义角色到底在mapAsync
里面什么地方需要被调用。
https://blog.colinbreck.com/backoff-and-retry-error-handling-for-akka-streams/至少包含示例的一部分。 看来创建演员不是强制性的,即
implicit val system = ActorSystem()
implicit val ec = system.dispatcher
implicit val materializer = ActorMaterializer()
val source = Source(List("232::03::14062::19965186", "232::03::14062::19965189"))
.map(cellKey => {
val splits = cellKey.split("::")
val mcc = splits(0)
val mnc = splits(1)
val lac = splits(2)
val ci = splits(3)
CellKeySource(cellKey, mcc, mnc, lac, ci)
})
.limit(2)
.mapAsyncUnordered(2)(ck => getResponse(ck.cellKey, ck.mobileCountryCode, ck.mobileNetworkCode, ck.locationArea, ck.cellKey)("<<myToken>>"))
def getResponse(cellKey: String, mobileCountryCode:String, mobileNetworkCode:String, locationArea:String, cellId:String)(token:String): Future[String] = {
RestartSource.withBackoff(
minBackoff = 10.milliseconds,
maxBackoff = 30.seconds,
randomFactor = 0.2,
maxRestarts = 2
) { () =>
val responseFuture: Future[HttpResponse] =
Http().singleRequest(HttpRequest(uri = s"https://www.googleapis.com/geolocation/v1/geolocate?key=${token}", entity = ByteString(
// TODO use proper JSON objects
s"""
|{
| "cellTowers": [
| "mobileCountryCode": $mobileCountryCode,
| "mobileNetworkCode": $mobileNetworkCode,
| "locationAreaCode": $locationArea,
| "cellId": $cellId,
| ]
|}
""".stripMargin)))
Source.fromFuture(responseFuture)
.mapAsync(parallelism = 1) {
case HttpResponse(StatusCodes.OK, _, entity, _) =>
Unmarshal(entity).to[String]
case HttpResponse(statusCode, _, _, _) =>
throw WebRequestException(statusCode.toString() )
}
}
.runWith(Sink.head)
.recover {
case _ => throw StreamFailedAfterMaxRetriesException()
}
}
val done: Future[Done] = source.runForeach(println)
done.onComplete(_ ⇒ system.terminate())
已经是该问题的(部分)答案,即如何集成Akka-streams + akka-http。但是,它不起作用,即仅引发错误400s并且永不终止。
答案 0 :(得分:2)
我认为您已经找到了api的如何调用akka-http客户端
关于第一个无效的代码段。我认为示例本身发生了一些误解。您希望示例中的代码在复制后即可正常工作。但是该文档的目的只是演示一个示例/概念,如何将一些长期运行的任务从流中委派出去,然后在准备就绪时使用结果。因为对akka actor进行了ask
调用,因为对ask
方法的调用返回了Future
。该文档的作者可能只是省略了actor的定义。您可以尝试以下示例:
import java.lang.System.exit
import akka.NotUsed
import akka.actor.{Actor, ActorRef, ActorSystem, Props}
import akka.pattern.ask
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.{Sink, Source}
import akka.util.Timeout
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
import scala.language.higherKinds
object App extends scala.App {
implicit val sys: ActorSystem = ActorSystem()
implicit val mat: ActorMaterializer = ActorMaterializer()
val ref: ActorRef = sys.actorOf(Props[Translator])
implicit val askTimeout: Timeout = Timeout(5.seconds)
val words: Source[String, NotUsed] = Source(List("hello", "hi"))
words
.mapAsync(parallelism = 5)(elem => (ref ? elem).mapTo[String])
.map(_.toLowerCase)
.runWith(Sink.foreach(println))
.onComplete(t => {
println(s"finished: $t")
exit(1)
})
}
class Translator extends Actor {
override def receive: Receive = {
case msg => sender() ! s"$msg!"
}
}
答案 1 :(得分:0)
您必须从akka导入询问模式。
导入akka.pattern.ask
编辑:好的,抱歉,我可以看到您已经导入了。您的代码中的ref是什么? ActorRef?