我正在尝试将(String,Date)的一个可观测对象拆分为两个不同的可观测对象,并将它们压缩在一起,如下所示
import monix.execution.Scheduler.Implicits.global
val x = Observable.fromIterator((0 to 10).map(i => (s"a $i", s"b $i")).toIterator)
val y = Observable.toReactive(x)
val fileStream = Observable.fromReactivePublisher(y).mapAsync(5)(a => Task{println(a._1); a._1})
val dateStream = Observable.fromReactivePublisher(y).mapAsync(5)(a => Task{println(a._2); a._2})
fileStream.zip(dateStream)
.map(println)
.subscribe()但是我得到了以下异常
monix.reactive.exceptions.MultipleSubscribersException: InputStreamObservable does not support multiple subscribers
at monix.reactive.exceptions.MultipleSubscribersException$.build(MultipleSubscribersException.scala:51)
at monix.reactive.internal.builders.IteratorAsObservable.unsafeSubscribeFn(IteratorAsObservable.scala:42)
at monix.reactive.Observable$$anon$6.subscribe(Observable.scala:155)
at monix.reactive.internal.builders.ReactiveObservable.unsafeSubscribeFn(ReactiveObservable.scala:38)
at monix.reactive.internal.operators.MapAsyncParallelObservable.unsafeSubscribeFn(MapAsyncParallelObservable.scala:60)
at monix.reactive.internal.builders.Zip2Observable.unsafeSubscribeFn(Zip2Observable.scala:158)
at monix.reactive.Observable$$anon$5.unsafeSubscribeFn(Observable.scala:139)
at monix.reactive.Observable$class.subscribe(Observable.scala:71)
at monix.reactive.Observable$$anon$5.subscribe(Observable.scala:136)
at monix.reactive.Observable$class.subscribe(Observable.scala:90)
at monix.reactive.Observable$$anon$5.subscribe(Observable.scala:136)
at monix.reactive.Observable$class.subscribe(Observable.scala:120)
at monix.reactive.Observable$$anon$5.subscribe(Observable.scala:136)
at monix.reactive.Observable$class.subscribe(Observable.scala:112)
at monix.reactive.Observable$$anon$5.subscribe(Observable.scala:136)发布于 2018-02-07 16:17:43
从反应式转换到反应式是强制的吗?
解决这个问题的一种方法是使用val x = Observable.fromIterable((0 to 10).map(i => (s"a $i", s"b $i"))),但是对于无限大的数据流,它将使用OutOfMemoryError。
另一种方法是使用.multicast(Pipe.publish[]),然后向下obs.connect()代码:
import monix.execution.Scheduler.Implicits.global
val x = Observable.fromIterator((0 to 10).map(i => (s"a $i", s"b $i")).iterator)
val y = Observable.toReactive(x)
val obsY = Observable.fromReactivePublisher(y)
val connectY = obsY.multicast(Pipe.publish[(String, String)])
val fileStream = connectY.mapAsync(5)(a => Task{println(a._1); a._1})
val dateStream = connectY.mapAsync(5)(a => Task{println(a._2); a._2})
fileStream.zip(dateStream)
.map(println)
.subscribe()
connectY.connect()
Thread.sleep(5000)发布于 2019-01-12 05:39:11
除了谢尔盖-舒宾的回答之外,还可以将Observable临时转换为“热”可观察物,可以使用publishSelector将其分割为多个流,而不必手动处理multicast。这看起来像这样:
val x = Observable.fromIterator((0 to 10).map(i => (s"a $i", s"b $i")).toIterator)
val zipped = x.publishSelector { o =>
val fileStream = o.mapParallelUnordered(5)(a => Task{println(a._1); a._1})
val dateStream = o.mapParallelUnordered(5)(a => Task{println(a._2); a._2})
fileStream.zip(dateStream)
}
zipped
.map(println)
.subscribe()https://stackoverflow.com/questions/48657005
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