Monix 2.2.4 - monix.reactive.Observable

final def !=(arg0: Any): Boolean

Definition Classes: AnyRef → Any

final def ##(): Int

Definition Classes: AnyRef → Any

final def ==(arg0: Any): Boolean

Definition Classes: AnyRef → Any

def apply[A](elems: A*): Observable[A]

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

final def asInstanceOf[T0]: T0

Definition Classes: Any

def clone(): AnyRef

Attributes: protected[java.lang]
Definition Classes: AnyRef
Annotations: @throws( ... )

def coeval[A](value: Coeval[A]): Observable[A]

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

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

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).

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.

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).

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.

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).

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.

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).

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.

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).

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.

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.

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).

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.

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).

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.

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).

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.

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).

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.

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).

def concat[A](sources: Observable[A]*): Observable[A]

Concatenates the given list of observables into a single observable.

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.

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

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

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.

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

def defer[A](fa: ⇒ Observable[A]): Observable[A]

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

def delay[A](a: ⇒ A): Observable[A]

Alias for eval.

def empty[A]: Observable[A]

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

final def eq(arg0: AnyRef): Boolean

Definition Classes: AnyRef

def equals(arg0: Any): Boolean

Definition Classes: AnyRef → Any

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.

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

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.

def finalize(): Unit

Attributes: protected[java.lang]
Definition Classes: AnyRef
Annotations: @throws( classOf[java.lang.Throwable] )

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.

def flatten[A](sources: Observable[A]*): Observable[A]

Concatenates the given list of observables into a single observable.

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.

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.

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

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.

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

fa: is the observable that will get subscribed asynchronously

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.

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

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.

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

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

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

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.

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

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.

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

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

def fromIterable[A](iterable: Iterable[A]): Observable[A]

Converts any Iterable into an Observable.

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

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

def fromIterator[A](iterator: Iterator[A]): Observable[A]

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

def fromLinesReader(in: BufferedReader): Observable[String]

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

def fromReactivePublisher[A](publisher: Publisher[A]): Observable[A]

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

See the Reactive Streams protocol that Monix implements.

See also: Observable.toReactive for converting an Observable to a reactive publisher.

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.

def fromTask[A](task: Task[A]): Observable[A]

Converts any Task into an Observable.

final def getClass(): Class[_]

Definition Classes: AnyRef → Any

def hashCode(): Int

Definition Classes: AnyRef → Any

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.

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.

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

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

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

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

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

final def isInstanceOf[T0]: Boolean

Definition Classes: Any

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

Merges the given list of observables into a single observable.

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.

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.

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)

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.

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)

final def ne(arg0: AnyRef): Boolean

Definition Classes: AnyRef

def never: Observable[Nothing]

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

final def notify(): Unit

Definition Classes: AnyRef

final def notifyAll(): Unit

Definition Classes: AnyRef

def now[A](elem: A): Observable[A]

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

def pure[A](elem: A): Observable[A]

Lifts an element into the Observable context.

Alias for now.

def raiseError(ex: Throwable): Observable[Nothing]

Creates an Observable that emits an error.

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

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

def repeat[A](elems: A*): Observable[A]

Creates an Observable that continuously emits the given item repeatedly.

def repeatEval[A](task: ⇒ A): Observable[A]

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

def suspend[A](fa: ⇒ Observable[A]): Observable[A]

Alias for defer.

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.

final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes: AnyRef

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.

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)
        }

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.

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.

def toString(): String

Definition Classes: AnyRef → Any

implicit val typeClassInstances: TypeClassInstances

Implicit type-class instances for Observable.

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

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.

final def wait(): Unit

Definition Classes: AnyRef
Annotations: @throws( ... )

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

Definition Classes: AnyRef
Annotations: @throws( ... )

final def wait(arg0: Long): Unit

Definition Classes: AnyRef
Annotations: @throws( ... )

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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.

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

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.

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

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.

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

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.

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

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.

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

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Observable

Companion trait Observable

object Observable extends Serializable

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Observable 

Companion trait Observable

object Observable extends Serializable

Type Members

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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Observable