Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def apply[A](elems: A*): Observable[A]

   Given a sequence of elements, builds an observable from it.

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

7.  def coeval[A](value: Coeval[A]): Observable[A]

   Transforms a non-strict Coeval value into an Observable that emits a single element.

8.  def combineLatest2[A1, A2](oa1: Observable[A1], oa2: Observable[A2]): Observable[(A1, A2)]

   Creates a combined observable from 2 source observables.

   Creates a combined observable from 2 source observables.

   This operator behaves in a similar way to zip2, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

9.  def combineLatest3[A1, A2, A3](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3]): Observable[(A1, A2, A3)]

   Creates a combined observable from 3 source observables.

   Creates a combined observable from 3 source observables.

   This operator behaves in a similar way to zip3, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

10.  def combineLatest4[A1, A2, A3, A4](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4]): Observable[(A1, A2, A3, A4)]

    Creates a combined observable from 4 source observables.

    Creates a combined observable from 4 source observables.

    This operator behaves in a similar way to zip4, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

11.  def combineLatest5[A1, A2, A3, A4, A5](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5]): Observable[(A1, A2, A3, A4, A5)]

    Creates a combined observable from 5 source observables.

    Creates a combined observable from 5 source observables.

    This operator behaves in a similar way to zip5, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

12.  def combineLatest6[A1, A2, A3, A4, A5, A6](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5], oa6: Observable[A6]): Observable[(A1, A2, A3, A4, A5, A6)]

    Creates a combined observable from 6 source observables.

    Creates a combined observable from 6 source observables.

    This operator behaves in a similar way to zip6, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

13.  def combineLatestList[A](sources: Observable[A]*): Observable[Seq[A]]

    Given an observable sequence, it combines them together (using combineLatest) returning a new observable that generates sequences.

14.  def combineLatestMap2[A1, A2, R](oa1: Observable[A1], oa2: Observable[A2])(f: (A1, A2) ⇒ R): Observable[R]

    Creates a combined observable from 2 source observables.

    Creates a combined observable from 2 source observables.

    This operator behaves in a similar way to zipMap2, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

15.  def combineLatestMap3[A1, A2, A3, R](a1: Observable[A1], a2: Observable[A2], a3: Observable[A3])(f: (A1, A2, A3) ⇒ R): Observable[R]

    Creates a combined observable from 3 source observables.

    Creates a combined observable from 3 source observables.

    This operator behaves in a similar way to zipMap3, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

16.  def combineLatestMap4[A1, A2, A3, A4, R](a1: Observable[A1], a2: Observable[A2], a3: Observable[A3], a4: Observable[A4])(f: (A1, A2, A3, A4) ⇒ R): Observable[R]

    Creates a combined observable from 4 source observables.

    Creates a combined observable from 4 source observables.

    This operator behaves in a similar way to zipMap4, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

17.  def combineLatestMap5[A1, A2, A3, A4, A5, R](a1: Observable[A1], a2: Observable[A2], a3: Observable[A3], a4: Observable[A4], a5: Observable[A5])(f: (A1, A2, A3, A4, A5) ⇒ R): Observable[R]

    Creates a combined observable from 5 source observables.

    Creates a combined observable from 5 source observables.

    This operator behaves in a similar way to zipMap5, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

18.  def combineLatestMap6[A1, A2, A3, A4, A5, A6, R](a1: Observable[A1], a2: Observable[A2], a3: Observable[A3], a4: Observable[A4], a5: Observable[A5], a6: Observable[A6])(f: (A1, A2, A3, A4, A5, A6) ⇒ R): Observable[R]

    Creates a combined observable from 6 source observables.

    Creates a combined observable from 6 source observables.

    This operator behaves in a similar way to zipMap6, but while zip emits items only when all of the zipped source observables have emitted a previously unzipped item, combine emits an item whenever any of the source Observables emits an item (so long as each of the source Observables has emitted at least one item).

19.  def concat[A](sources: Observable[A]*): Observable[A]

    Concatenates the given list of observables into a single observable.

20.  def concatDelayError[A](sources: Observable[A]*): Observable[A]

    Concatenates the given list of observables into a single observable.

    Concatenates the given list of observables into a single observable. Delays errors until the end.

21.  def cons[A](head: A, tail: Observable[A]): Observable[A]

    Builds a new observable from a strict head and a lazily evaluated head.

22.  def create[A](overflowStrategy: Synchronous[A])(f: (Sync[A]) ⇒ Cancelable): Observable[A]

    Creates an observable from a function that receives a concurrent and safe Subscriber.Sync.

    Creates an observable from a function that receives a concurrent and safe Subscriber.Sync.

    This builder represents the safe way of building observables from data-sources that cannot be back-pressured.

23.  def defer[A](fa: ⇒ Observable[A]): Observable[A]

    Returns a new observable that creates a sequence from the given factory on each subscription.

24.  def delay[A](a: ⇒ A): Observable[A]

    Alias for eval.

25.  def empty[A]: Observable[A]

    Creates an observable that doesn't emit anything, but immediately calls onComplete instead.

26.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

27.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

28.  def eval[A](a: ⇒ A): Observable[A]

    Given a non-strict value, converts it into an Observable that upon subscription, evaluates the expression and emits a single element.

29.  def evalDelayed[A](delay: FiniteDuration, a: ⇒ A): Observable[A]

    Lifts a non-strict value into an observable that emits a single element, but upon subscription delay its evaluation by the specified timespan

30.  def evalOnce[A](f: ⇒ A): Observable[A]

    Given a non-strict value, converts it into an Observable that emits a single element and that memoizes the value for subsequent invocations.

31.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

32.  def firstStartedOf[A](source: Observable[A]*): Observable[A]

    Given a list of source Observables, emits all of the items from the first of these Observables to emit an item or to complete, and cancel the rest.

33.  def flatten[A](sources: Observable[A]*): Observable[A]

    Concatenates the given list of observables into a single observable.

34.  def flattenDelayError[A](sources: Observable[A]*): Observable[A]

    Concatenates the given list of observables into a single observable.

    Concatenates the given list of observables into a single observable. Delays errors until the end.

35.  def fork[A](fa: Observable[A], scheduler: Scheduler): Observable[A]

    Mirrors the given source Observable, but upon subscription ensure that evaluation forks into a separate (logical) thread, managed by the given scheduler, which will also be used for subsequent asynchronous execution, overriding the default.

    Mirrors the given source Observable, but upon subscription ensure that evaluation forks into a separate (logical) thread, managed by the given scheduler, which will also be used for subsequent asynchronous execution, overriding the default.

    The given Scheduler will be used for evaluation of the source Observable, effectively overriding the Scheduler that's passed in subscribe(). Thus you can evaluate an observable on a separate thread-pool, useful for example in case of doing I/O.

    fa

    is the source observable that will evaluate asynchronously on the specified scheduler

    scheduler

    is the scheduler to use for evaluation

36.  def fork[A](fa: Observable[A]): Observable[A]

    Mirrors the given source Observable, but upon subscription ensure that evaluation forks into a separate (logical) thread.

    Mirrors the given source Observable, but upon subscription ensure that evaluation forks into a separate (logical) thread.

    The Scheduler used will be the one that is injected in subscribe().

    fa

    is the observable that will get subscribed asynchronously

37.  def fromAsyncStateAction[S, A](f: (S) ⇒ Task[(A, S)])(initialState: ⇒ S): Observable[A]

    Given an initial state and a generator function that produces the next state and the next element in the sequence, creates an observable that keeps generating elements produced by our generator function.

38.  def fromCharsReader(in: Reader, chunkSize: Int): Observable[Array[Char]]

    Converts a java.io.Reader into an observable that will emit Array[Char] elements.

    Converts a java.io.Reader into an observable that will emit Array[Char] elements.

    WARNING: reading from a reader is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source such as a java.io.File from which you can open how many file handles you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    in

    is the Reader to convert into an observable

    chunkSize

    is the maximum length of the emitted arrays of chars. It's also used when reading from the reader.

39.  def fromCharsReader(in: Reader): Observable[Array[Char]]

    Converts a java.io.Reader into an observable that will emit Array[Char] elements.

    Converts a java.io.Reader into an observable that will emit Array[Char] elements.

    WARNING: reading from a reader is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source such as a java.io.File from which you can open how many file handles you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    in

    is the Reader to convert into an observable

40.  def fromFuture[A](factory: ⇒ Future[A]): Observable[A]

    Converts a Scala Future provided into an Observable.

    Converts a Scala Future provided into an Observable.

    If the created instance is a CancelableFuture, then it will be used for the returned Cancelable on subscribe.

41.  def fromInputStream(in: InputStream, chunkSize: Int): Observable[Array[Byte]]

    Converts a java.io.InputStream into an observable that will emit Array[Byte] elements.

    Converts a java.io.InputStream into an observable that will emit Array[Byte] elements.

    WARNING: reading from the input stream is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source such as a java.io.File from which you can open how many file handles you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    in

    is the InputStream to convert into an observable

    chunkSize

    is the maximum length of the emitted arrays of bytes. It's also used when reading from the input stream.

42.  def fromInputStream(in: InputStream): Observable[Array[Byte]]

    Converts a java.io.InputStream into an observable that will emit Array[Byte] elements.

    Converts a java.io.InputStream into an observable that will emit Array[Byte] elements.

    WARNING: reading from the input stream is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source such as a java.io.File from which you can open how many file handles you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    in

    is the InputStream to convert into an observable

43.  def fromIterable[A](iterable: Iterable[A]): Observable[A]

    Converts any Iterable into an Observable.

44.  def fromIterator[A](iterator: Iterator[A], onFinish: () ⇒ Unit): Observable[A]

    Converts any Iterator into an observable.

    Converts any Iterator into an observable.

    WARNING: reading from an Iterator is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source from which you can open how many iterators you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    This variant of fromIterator takes an onFinish callback that will be called when the streaming is finished, either with onComplete, onError, when the downstream signals a Stop or when the subscription gets canceled.

    This onFinish callback is guaranteed to be called only once.

    Useful for controlling resource deallocation (e.g. closing file handles).

    iterator

    to transform into an observable

    onFinish

    a callback that will be called for resource deallocation whenever the iterator is complete, or when the stream is canceled

45.  def fromIterator[A](iterator: Iterator[A]): Observable[A]

    Converts any Iterator into an observable.

    Converts any Iterator into an observable.

    WARNING: reading from an Iterator is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source from which you can open how many iterators you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    iterator

    to transform into an observable

46.  def fromLinesReader(in: BufferedReader): Observable[String]

    Converts a java.io.BufferedReader into an observable that will emit String text lines from the input.

    Converts a java.io.BufferedReader into an observable that will emit String text lines from the input.

    Note that according to the specification of BufferedReader, a line is considered to be terminated by any one of a line feed (\n), a carriage return (\r), or a carriage return followed immediately by a linefeed.

    WARNING: reading from a reader is a destructive process. Therefore only a single subscriber is supported, the result being a single-subscriber observable. If multiple subscribers are attempted, all subscribers, except for the first one, will be terminated with a APIContractViolationException.

    Therefore, if you need a factory of data sources, from a cold source such as a java.io.File from which you can open how many file handles you want, you can use Observable.defer to build such a factory. Or you can share the resulting observable by converting it into a ConnectableObservable by means of multicast.

    in

    is the Reader to convert into an observable

47.  def fromReactivePublisher[A](publisher: Publisher[A], requestCount: Int): Observable[A]

    Given a org.reactivestreams.Publisher, converts it into a Monix / Rx Observable.

    Given a org.reactivestreams.Publisher, converts it into a Monix / Rx Observable.

    See the Reactive Streams protocol that Monix implements.

    publisher

    is the org.reactivestreams.Publisher reference to wrap into an Observable

    requestCount

    a strictly positive number, representing the size of the buffer used and the number of elements requested on each cycle when communicating demand, compliant with the reactive streams specification. If Int.MaxValue is given, then no back-pressuring logic will be applied (e.g. an unbounded buffer is used and the source has a license to stream as many events as it wants).

    See also

    Observable.toReactive for converting an Observable to a reactive publisher.

48.  def fromReactivePublisher[A](publisher: Publisher[A]): Observable[A]

    Given a org.reactivestreams.Publisher, converts it into a Monix / Rx Observable.

    Given a org.reactivestreams.Publisher, converts it into a Monix / Rx Observable.

    See the Reactive Streams protocol that Monix implements.

    publisher

    is the org.reactivestreams.Publisher reference to wrap into an Observable

    See also

    Observable.toReactive for converting an Observable to a reactive publisher.

49.  def fromStateAction[S, A](f: (S) ⇒ (A, S))(initialState: ⇒ S): Observable[A]

    Given an initial state and a generator function that produces the next state and the next element in the sequence, creates an observable that keeps generating elements produced by our generator function.

50.  def fromTask[A](task: Task[A]): Observable[A]

    Converts any Task into an Observable.

51.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

52.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

53.  def interleave2[A](oa1: Observable[A], oa2: Observable[A]): Observable[A]

    Creates a new observable from this observable and another given observable by interleaving their items into a strictly alternating sequence.

    Creates a new observable from this observable and another given observable by interleaving their items into a strictly alternating sequence.

    So the first item emitted by the new observable will be the item emitted by self, the second item will be emitted by the other observable, and so forth; when either self or other calls onCompletes, the items will then be directly coming from the observable that has not completed; when onError is called by either self or other, the new observable will call onError and halt.

    See merge for a more relaxed alternative that doesn't emit items in strict alternating sequence.

54.  def interval(delay: FiniteDuration): Observable[Long]

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval.

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval. Starts from 0 with no delay, after which it emits incremented numbers spaced by the period of time. The given period of time acts as a fixed delay between successive events.

    delay

    the delay between 2 successive events

55.  def intervalAtFixedRate(initialDelay: FiniteDuration, period: FiniteDuration): Observable[Long]

    Creates an Observable that emits auto-incremented natural numbers (longs) at a fixed rate, as given by the specified period.

    Creates an Observable that emits auto-incremented natural numbers (longs) at a fixed rate, as given by the specified period. The time it takes to process an onNext event gets subtracted from the specified period and thus the created observable tries to emit events spaced by the given time interval, regardless of how long the processing of onNext takes.

    This version of the intervalAtFixedRate allows specifying an initialDelay before events start being emitted.

    initialDelay

    is the initial delay before emitting the first event

    period

    the period between 2 successive onNext events

56.  def intervalAtFixedRate(period: FiniteDuration): Observable[Long]

    Creates an Observable that emits auto-incremented natural numbers (longs) at a fixed rate, as given by the specified period.

    Creates an Observable that emits auto-incremented natural numbers (longs) at a fixed rate, as given by the specified period. The time it takes to process an onNext event gets subtracted from the specified period and thus the created observable tries to emit events spaced by the given time interval, regardless of how long the processing of onNext takes.

    period

    the period between 2 successive onNext events

57.  def intervalWithFixedDelay(initialDelay: FiniteDuration, delay: FiniteDuration): Observable[Long]

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval.

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval. Starts from 0 with no delay, after which it emits incremented numbers spaced by the period of time. The given period of time acts as a fixed delay between successive events.

    initialDelay

    is the delay to wait before emitting the first event

    delay

    the time to wait between 2 successive events

58.  def intervalWithFixedDelay(delay: FiniteDuration): Observable[Long]

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval.

    Creates an Observable that emits auto-incremented natural numbers (longs) spaced by a given time interval. Starts from 0 with no delay, after which it emits incremented numbers spaced by the period of time. The given period of time acts as a fixed delay between successive events.

    delay

    the delay between 2 successive events

59.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

60.  def merge[A](sources: Observable[A]*)(implicit os: OverflowStrategy[A] = OverflowStrategy.Default): Observable[A]

    Merges the given list of observables into a single observable.

61.  def mergeDelayError[A](sources: Observable[A]*)(implicit os: OverflowStrategy[A] = OverflowStrategy.Default): Observable[A]

    Merges the given list of observables into a single observable.

    Merges the given list of observables into a single observable. Delays errors until the end.

62.  def multicast[A](multicast: MulticastStrategy[A], overflow: Synchronous[A])(implicit s: Scheduler): (Sync[A], Observable[A])

    Creates an input channel and an output observable pair for building a multicast data-source.

    Creates an input channel and an output observable pair for building a multicast data-source.

    Useful for building multicast observables from data-sources that cannot be back-pressured.

    Prefer Observable.create when possible.

    multicast

    is the multicast strategy to use (e.g. publish, behavior, reply, async)

    overflow

    is the overflow strategy for the buffer that gets placed in front (since this will be a hot data-source that cannot be back-pressured)

63.  def multicast[A](multicast: MulticastStrategy[A])(implicit s: Scheduler): (Sync[A], Observable[A])

    Creates an input channel and an output observable pair for building a multicast data-source.

    Creates an input channel and an output observable pair for building a multicast data-source.

    Useful for building multicast observables from data-sources that cannot be back-pressured.

    Prefer Observable.create when possible.

    multicast

    is the multicast strategy to use (e.g. publish, behavior, reply, async)

64.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

65.  def never: Observable[Nothing]

    Creates an Observable that doesn't emit anything and that never completes.

66.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

67.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

68.  def now[A](elem: A): Observable[A]

    Returns an Observable that on execution emits the given strict value.

69.  def pure[A](elem: A): Observable[A]

    Lifts an element into the Observable context.

    Lifts an element into the Observable context.

    Alias for now.

70.  def raiseError(ex: Throwable): Observable[Nothing]

    Creates an Observable that emits an error.

71.  def range(from: Long, until: Long, step: Long = 1L): Observable[Long]

    Creates an Observable that emits items in the given range.

    Creates an Observable that emits items in the given range.

    from

    the range start

    until

    the range end

    step

    increment step, either positive or negative

72.  def repeat[A](elems: A*): Observable[A]

    Creates an Observable that continuously emits the given item repeatedly.

73.  def repeatEval[A](task: ⇒ A): Observable[A]

    Repeats the execution of the given task, emitting the results indefinitely.

74.  def suspend[A](fa: ⇒ Observable[A]): Observable[A]

    Alias for defer.

75.  def switch[A](sources: Observable[A]*): Observable[A]

    Given a sequence of observables, builds an observable that emits the elements of the most recently emitted observable.

76.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

77.  def tailRecM[A, B](a: A)(f: (A) ⇒ Observable[Either[A, B]]): Observable[B]

    Keeps calling f and concatenating the resulting observables for each scala.util.Left event emitted by the source, concatenating the resulting observables and pushing every scala.util.Right[B] events downstream.

    Keeps calling f and concatenating the resulting observables for each scala.util.Left event emitted by the source, concatenating the resulting observables and pushing every scala.util.Right[B] events downstream.

    Based on Phil Freeman's Stack Safety for Free.

    It helps to wrap your head around it if you think of it as being equivalent to this inefficient and unsafe implementation (for Observable):

    def tailRecM[A, B](a: A)(f: (A) => Observable[Either[A, B]]): Observable[B] =
      f(a).flatMap {
        case Right(b) => pure(b)
        case Left(nextA) => tailRecM(nextA)(f)
            }

78.  def timerRepeated[A](initialDelay: FiniteDuration, period: FiniteDuration, unit: A): Observable[A]

    Create an Observable that repeatedly emits the given item, until the underlying Observer cancels.

79.  def toReactive[A](source: Observable[A])(implicit s: Scheduler): Publisher[A]

    Wraps this Observable into a org.reactivestreams.Publisher.

    Wraps this Observable into a org.reactivestreams.Publisher. See the Reactive Streams protocol that Monix implements.

80.  def toString(): String

    Definition Classes

    AnyRef → Any

81.  implicit val typeClassInstances: TypeClassInstances

    Implicit type-class instances for Observable.

82.  def unsafeCreate[A](f: (Subscriber[A]) ⇒ Cancelable): Observable[A]

    Given a subscribe function, lifts it into an Observable.

    Given a subscribe function, lifts it into an Observable.

    This function is unsafe to use because users have to know and apply the Monix communication contract, related to thread-safety, communicating demand (back-pressure) and error handling.

    Only use if you know what you're doing. Otherwise prefer create.

83.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

84.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

85.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

86.  def zip2[A1, A2](oa1: Observable[A1], oa2: Observable[A2]): Observable[(A1, A2)]

    Creates a new observable from two observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from two observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap2 for a more relaxed alternative that doesn't combine items in strict sequence.

87.  def zip3[A1, A2, A3](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3]): Observable[(A1, A2, A3)]

    Creates a new observable from three observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from three observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap3 for a more relaxed alternative that doesn't combine items in strict sequence.

88.  def zip4[A1, A2, A3, A4](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4]): Observable[(A1, A2, A3, A4)]

    Creates a new observable from four observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from four observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap4 for a more relaxed alternative that doesn't combine items in strict sequence.

89.  def zip5[A1, A2, A3, A4, A5](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5]): Observable[(A1, A2, A3, A4, A5)]

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap5 for a more relaxed alternative that doesn't combine items in strict sequence.

90.  def zip6[A1, A2, A3, A4, A5, A6](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5], oa6: Observable[A6]): Observable[(A1, A2, A3, A4, A5, A6)]

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap5 for a more relaxed alternative that doesn't combine items in strict sequence.

91.  def zipList[A](sources: Observable[A]*): Observable[Seq[A]]

    Given an observable sequence, it zips them together returning a new observable that generates sequences.

92.  def zipMap2[A1, A2, R](oa1: Observable[A1], oa2: Observable[A2])(f: (A1, A2) ⇒ R): Observable[R]

    Creates a new observable from two observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from two observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap2 for a more relaxed alternative that doesn't combine items in strict sequence.

    f

    is the mapping function applied over the generated pairs

93.  def zipMap3[A1, A2, A3, R](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3])(f: (A1, A2, A3) ⇒ R): Observable[R]

    Creates a new observable from three observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from three observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap3 for a more relaxed alternative that doesn't combine items in strict sequence.

    f

    is the mapping function applied over the generated pairs

94.  def zipMap4[A1, A2, A3, A4, R](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4])(f: (A1, A2, A3, A4) ⇒ R): Observable[R]

    Creates a new observable from four observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from four observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap4 for a more relaxed alternative that doesn't combine items in strict sequence.

    f

    is the mapping function applied over the generated pairs

95.  def zipMap5[A1, A2, A3, A4, A5, R](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5])(f: (A1, A2, A3, A4, A5) ⇒ R): Observable[R]

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap5 for a more relaxed alternative that doesn't combine items in strict sequence.

    f

    is the mapping function applied over the generated pairs

96.  def zipMap6[A1, A2, A3, A4, A5, A6, R](oa1: Observable[A1], oa2: Observable[A2], oa3: Observable[A3], oa4: Observable[A4], oa5: Observable[A5], oa6: Observable[A6])(f: (A1, A2, A3, A4, A5, A6) ⇒ R): Observable[R]

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    Creates a new observable from five observable sequences by combining their items in pairs in a strict sequence.

    So the first item emitted by the new observable will be the result of the function applied to the first items emitted by each of the source observables; the second item emitted by the new observable will be the result of the function applied to the second items emitted by each of those observables; and so forth.

    See combineLatestMap5 for a more relaxed alternative that doesn't combine items in strict sequence.

    f

    is the mapping function applied over the generated pairs