Scala Monix:InputStreamObservable不支持多个订阅者
我试图将(字符串、日期)的一个可观察对象拆分为两个不同的可观察对象,并将它们压缩在一起,如下所示Scala Monix:InputStreamObservable不支持多个订阅者,scala,reactive-programming,monix,Scala,Reactive Programming,Monix,我试图将(字符串、日期)的一个可观察对象拆分为两个不同的可观察对象,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.fr
import monix.execution.Scheduler.Implicits.global
val x = Observable.fromIterator((0 to 10).map(i => (s"a $i", s"b $i")).toIterator)
val y = Observable.toReactive(x)
val fileStream = Observable.fromReactivePublisher(y).mapAsync(5)(a => Task{println(a._1); a._1})
val dateStream = Observable.fromReactivePublisher(y).mapAsync(5)(a => Task{println(a._2); a._2})
fileStream.zip(dateStream)
.map(println)
.subscribe()
但我得到了以下例外
monix.reactive.exceptions.MultipleSubscribersException: InputStreamObservable does not support multiple subscribers
at monix.reactive.exceptions.MultipleSubscribersException$.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$5.subscribe(Observable.scala:136)
是否强制转换为/从被动 解决这个问题的一种方法是
valx=Observable.fromIterable((0到10).map(i=>(s“a$i”,s“b$i”))
,但对于无限多的流,它将超出内存错误
另一种方法是使用.multicast(Pipe.publish[])
然后obs.connect()
下载代码:
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)
除了sergei shubin的回答之外,还可以临时将
可观察的
转换为“热”可观察的,可以使用将其拆分为多个流,而无需手动处理多播
。这看起来像:
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()
我想知道从reactivepublisher
到reactive再到的意义是什么?也就是说,为什么不干脆val connectY=x.multicast(Pipe.publish[(String,String)])
?