Movatterモバイル変換

java.lang.Object
- io.reactivex.parallel.ParallelFlowable<T>

Type Parameters:
T - the value type
```
public abstract classParallelFlowable<T>extendsObject
```
Abstract base class for Parallel publishers that take an array of Subscribers.
Usefrom() to start processing a regular Publisher in 'rails'. UserunOn() to introduce where each 'rail' should run on thread-vise. Usesequential() to merge the sources back into a single Flowable.
History: 2.0.5 - experimental; 2.1 - beta
Since:
2.2

Constructor Summary
Constructors
Constructor and Description
ParallelFlowable()

Constructors
Constructor and Description
`ParallelFlowable()`

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method and Description
`<R> R`	`as(ParallelFlowableConverter<T,R> converter)` Calls the specified converter function during assembly time and returns its resulting value.
`<C> ParallelFlowable<C>`	`collect(Callable<? extends C> collectionSupplier,BiConsumer<? super C,? superT> collector)` Collect the elements in each rail into a collection supplied via a collectionSupplier and collected into with a collector action, emitting the collection at the end.
`<U> ParallelFlowable<U>`	`compose(ParallelTransformer<T,U> composer)` Allows composing operators, in assembly time, on top of this ParallelFlowable and returns another ParallelFlowable with composed features.
`<R> ParallelFlowable<R>`	`concatMap(Function<? superT,? extendsPublisher<? extends R>> mapper)` Generates and concatenates Publishers on each 'rail', signalling errors immediately and generating 2 publishers upfront.
`<R> ParallelFlowable<R>`	`concatMap(Function<? superT,? extendsPublisher<? extends R>> mapper, int prefetch)` Generates and concatenates Publishers on each 'rail', signalling errors immediately and using the given prefetch amount for generating Publishers upfront.
`<R> ParallelFlowable<R>`	`concatMapDelayError(Function<? superT,? extendsPublisher<? extends R>> mapper, boolean tillTheEnd)` Generates and concatenates Publishers on each 'rail', optionally delaying errors and generating 2 publishers upfront.
`<R> ParallelFlowable<R>`	`concatMapDelayError(Function<? superT,? extendsPublisher<? extends R>> mapper, int prefetch, boolean tillTheEnd)` Generates and concatenates Publishers on each 'rail', optionally delaying errors and using the given prefetch amount for generating Publishers upfront.
`ParallelFlowable<T>`	`doAfterNext(Consumer<? superT> onAfterNext)` Call the specified consumer with the current element passing through any 'rail' after it has been delivered to downstream within the rail.
`ParallelFlowable<T>`	`doAfterTerminated(Action onAfterTerminate)` Run the specified Action when a 'rail' completes or signals an error.
`ParallelFlowable<T>`	`doOnCancel(Action onCancel)` Run the specified Action when a 'rail' receives a cancellation.
`ParallelFlowable<T>`	`doOnComplete(Action onComplete)` Run the specified Action when a 'rail' completes.
`ParallelFlowable<T>`	`doOnError(Consumer<Throwable> onError)` Call the specified consumer with the exception passing through any 'rail'.
`ParallelFlowable<T>`	`doOnNext(Consumer<? superT> onNext)` Call the specified consumer with the current element passing through any 'rail'.
`ParallelFlowable<T>`	`doOnNext(Consumer<? superT> onNext,BiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)` Call the specified consumer with the current element passing through any 'rail' and handles errors based on the returned value by the handler function.
`ParallelFlowable<T>`	`doOnNext(Consumer<? superT> onNext,ParallelFailureHandling errorHandler)` Call the specified consumer with the current element passing through any 'rail' and handles errors based on the given`ParallelFailureHandling` enumeration value.
`ParallelFlowable<T>`	`doOnRequest(LongConsumer onRequest)` Call the specified consumer with the request amount if any rail receives a request.
`ParallelFlowable<T>`	`doOnSubscribe(Consumer<? superSubscription> onSubscribe)` Call the specified callback when a 'rail' receives a Subscription from its upstream.
`ParallelFlowable<T>`	`filter(Predicate<? superT> predicate)` Filters the source values on each 'rail'.
`ParallelFlowable<T>`	`filter(Predicate<? superT> predicate,BiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)` Filters the source values on each 'rail' and handles errors based on the returned value by the handler function.
`ParallelFlowable<T>`	`filter(Predicate<? superT> predicate,ParallelFailureHandling errorHandler)` Filters the source values on each 'rail' and handles errors based on the given`ParallelFailureHandling` enumeration value.
`<R> ParallelFlowable<R>`	`flatMap(Function<? superT,? extendsPublisher<? extends R>> mapper)` Generates and flattens Publishers on each 'rail'.
`<R> ParallelFlowable<R>`	`flatMap(Function<? superT,? extendsPublisher<? extends R>> mapper, boolean delayError)` Generates and flattens Publishers on each 'rail', optionally delaying errors.
`<R> ParallelFlowable<R>`	`flatMap(Function<? superT,? extendsPublisher<? extends R>> mapper, boolean delayError, int maxConcurrency)` Generates and flattens Publishers on each 'rail', optionally delaying errors and having a total number of simultaneous subscriptions to the inner Publishers.
`<R> ParallelFlowable<R>`	`flatMap(Function<? superT,? extendsPublisher<? extends R>> mapper, boolean delayError, int maxConcurrency, int prefetch)` Generates and flattens Publishers on each 'rail', optionally delaying errors, having a total number of simultaneous subscriptions to the inner Publishers and using the given prefetch amount for the inner Publishers.
`static <T> ParallelFlowable<T>`	`from(Publisher<? extends T> source)` Take a Publisher and prepare to consume it on multiple 'rails' (number of CPUs) in a round-robin fashion.
`static <T> ParallelFlowable<T>`	`from(Publisher<? extends T> source, int parallelism)` Take a Publisher and prepare to consume it on parallelism number of 'rails' in a round-robin fashion.
`static <T> ParallelFlowable<T>`	`from(Publisher<? extends T> source, int parallelism, int prefetch)` Take a Publisher and prepare to consume it on parallelism number of 'rails' , possibly ordered and round-robin fashion and use custom prefetch amount and queue for dealing with the source Publisher's values.
`static <T> ParallelFlowable<T>`	`fromArray(Publisher<T>... publishers)` Wraps multiple Publishers into a ParallelFlowable which runs them in parallel and unordered.
`<R> ParallelFlowable<R>`	`map(Function<? superT,? extends R> mapper)` Maps the source values on each 'rail' to another value.
`<R> ParallelFlowable<R>`	`map(Function<? superT,? extends R> mapper,BiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)` Maps the source values on each 'rail' to another value and handles errors based on the returned value by the handler function.
`<R> ParallelFlowable<R>`	`map(Function<? superT,? extends R> mapper,ParallelFailureHandling errorHandler)` Maps the source values on each 'rail' to another value and handles errors based on the given`ParallelFailureHandling` enumeration value.
`abstract int`	`parallelism()` Returns the number of expected parallel Subscribers.
`Flowable<T>`	`reduce(BiFunction<T,T,T> reducer)` Reduces all values within a 'rail' and across 'rails' with a reducer function into a single sequential value.
`<R> ParallelFlowable<R>`	`reduce(Callable<R> initialSupplier,BiFunction<R,? superT,R> reducer)` Reduces all values within a 'rail' to a single value (with a possibly different type) via a reducer function that is initialized on each rail from an initialSupplier value.
`ParallelFlowable<T>`	`runOn(Scheduler scheduler)` Specifies where each 'rail' will observe its incoming values with no work-stealing and default prefetch amount.
`ParallelFlowable<T>`	`runOn(Scheduler scheduler, int prefetch)` Specifies where each 'rail' will observe its incoming values with possibly work-stealing and a given prefetch amount.
`Flowable<T>`	`sequential()` Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a default prefetch value for the rails.
`Flowable<T>`	`sequential(int prefetch)` Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a give prefetch value for the rails.
`Flowable<T>`	`sequentialDelayError()` Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Flowable sequence, running with a default prefetch value for the rails and delaying errors from all rails till all terminate.
`Flowable<T>`	`sequentialDelayError(int prefetch)` Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a give prefetch value for the rails and delaying errors from all rails till all terminate.
`Flowable<T>`	`sorted(Comparator<? superT> comparator)` Sorts the 'rails' of this ParallelFlowable and returns a Publisher that sequentially picks the smallest next value from the rails.
`Flowable<T>`	`sorted(Comparator<? superT> comparator, int capacityHint)` Sorts the 'rails' of this ParallelFlowable and returns a Publisher that sequentially picks the smallest next value from the rails.
`abstract void`	`subscribe(Subscriber<? superT>[] subscribers)` Subscribes an array of Subscribers to this ParallelFlowable and triggers the execution chain for all 'rails'.
`<U> U`	`to(Function<? superParallelFlowable<T>,U> converter)` Perform a fluent transformation to a value via a converter function which receives this ParallelFlowable.
`Flowable<List<T>>`	`toSortedList(Comparator<? superT> comparator)` Sorts the 'rails' according to the comparator and returns a full sorted list as a Publisher.
`Flowable<List<T>>`	`toSortedList(Comparator<? superT> comparator, int capacityHint)` Sorts the 'rails' according to the comparator and returns a full sorted list as a Publisher.
`protected boolean`	`validate(Subscriber<?>[] subscribers)` Validates the number of subscribers and returns true if their number matches the parallelism level of this ParallelFlowable.

Methods inherited from class java.lang.Object
clone,equals,finalize,getClass,hashCode,notify,notifyAll,toString,wait,wait,wait

- Constructor Detail
  - ParallelFlowable
```
public ParallelFlowable()
```
- Method Detail
  - subscribe
```
public abstract void subscribe(@NonNullSubscriber<? superT>[] subscribers)
```
    Subscribes an array of Subscribers to this ParallelFlowable and triggers the execution chain for all 'rails'.
    Parameters:
    subscribers - the subscribers array to run in parallel, the number of items must be equal to the parallelism level of this ParallelFlowable
    See Also:
    parallelism()
  - parallelism
```
public abstract int parallelism()
```
    Returns the number of expected parallel Subscribers.
    Returns:
    the number of expected parallel Subscribers
  - validate
```
protected final boolean validate(@NonNullSubscriber<?>[] subscribers)
```
    Validates the number of subscribers and returns true if their number matches the parallelism level of this ParallelFlowable.
    Parameters:
    subscribers - the array of Subscribers
    Returns:
    true if the number of subscribers equals to the parallelism level
  - from
```
@CheckReturnValuepublic static <T> ParallelFlowable<T> from(@NonNullPublisher<? extends T> source)
```
    Take a Publisher and prepare to consume it on multiple 'rails' (number of CPUs) in a round-robin fashion.
    Type Parameters:
    T - the value type
    Parameters:
    source - the source Publisher
    Returns:
    the ParallelFlowable instance
  - from
```
@CheckReturnValuepublic static <T> ParallelFlowable<T> from(@NonNullPublisher<? extends T> source,        int parallelism)
```
    Take a Publisher and prepare to consume it on parallelism number of 'rails' in a round-robin fashion.
    Type Parameters:
    T - the value type
    Parameters:
    source - the source Publisher
    parallelism - the number of parallel rails
    Returns:
    the new ParallelFlowable instance
  - from
```
@CheckReturnValue@NonNullpublic static <T> ParallelFlowable<T> from(@NonNullPublisher<? extends T> source,        int parallelism,        int prefetch)
```
    Take a Publisher and prepare to consume it on parallelism number of 'rails' , possibly ordered and round-robin fashion and use custom prefetch amount and queue for dealing with the source Publisher's values.
    Type Parameters:
    T - the value type
    Parameters:
    source - the source Publisher
    parallelism - the number of parallel rails
    prefetch - the number of values to prefetch from the source the source until there is a rail ready to process it.
    Returns:
    the new ParallelFlowable instance
  - as
```
@CheckReturnValue@NonNullpublic final <R> R as(@NonNullParallelFlowableConverter<T,R> converter)
```
    Calls the specified converter function during assembly time and returns its resulting value.
    This allows fluent conversion to any other type.
    History: 2.1.7 - experimental
    Type Parameters:
    R - the resulting object type
    Parameters:
    converter - the function that receives the current ParallelFlowable instance and returns a value
    Returns:
    the converted value
    Throws:
    NullPointerException - if converter is null
    Since:
    2.2
  - map
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> map(@NonNullFunction<? superT,? extends R> mapper)
```
    Maps the source values on each 'rail' to another value.
    Note that the same mapper function may be called from multiple threads concurrently.
    Type Parameters:
    R - the output value type
    Parameters:
    mapper - the mapper function turning Ts into Us.
    Returns:
    the new ParallelFlowable instance
  - map
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> map(@NonNullFunction<? superT,? extends R> mapper,@NonNullParallelFailureHandling errorHandler)
```
    Maps the source values on each 'rail' to another value and handles errors based on the givenParallelFailureHandling enumeration value.
    Note that the same mapper function may be called from multiple threads concurrently.
    History: 2.0.8 - experimental
    Type Parameters:
    R - the output value type
    Parameters:
    mapper - the mapper function turning Ts into Us.
    errorHandler - the enumeration that defines how to handle errors thrown from the mapper function
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - map
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> map(@NonNullFunction<? superT,? extends R> mapper,@NonNullBiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)
```
    Maps the source values on each 'rail' to another value and handles errors based on the returned value by the handler function.
    Note that the same mapper function may be called from multiple threads concurrently.
    History: 2.0.8 - experimental
    Type Parameters:
    R - the output value type
    Parameters:
    mapper - the mapper function turning Ts into Us.
    errorHandler - the function called with the current repeat count and failure Throwable and should return one of theParallelFailureHandling enumeration values to indicate how to proceed.
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - filter
```
@CheckReturnValuepublic final ParallelFlowable<T> filter(@NonNullPredicate<? superT> predicate)
```
    Filters the source values on each 'rail'.
    Note that the same predicate may be called from multiple threads concurrently.
    Parameters:
    predicate - the function returning true to keep a value or false to drop a value
    Returns:
    the new ParallelFlowable instance
  - filter
```
@CheckReturnValuepublic final ParallelFlowable<T> filter(@NonNullPredicate<? superT> predicate,@NonNullParallelFailureHandling errorHandler)
```
    Filters the source values on each 'rail' and handles errors based on the givenParallelFailureHandling enumeration value.
    Note that the same predicate may be called from multiple threads concurrently.
    History: 2.0.8 - experimental
    Parameters:
    predicate - the function returning true to keep a value or false to drop a value
    errorHandler - the enumeration that defines how to handle errors thrown from the predicate
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - filter
```
@CheckReturnValuepublic final ParallelFlowable<T> filter(@NonNullPredicate<? superT> predicate,@NonNullBiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)
```
    Filters the source values on each 'rail' and handles errors based on the returned value by the handler function.
    Note that the same predicate may be called from multiple threads concurrently.
    History: 2.0.8 - experimental
    Parameters:
    predicate - the function returning true to keep a value or false to drop a value
    errorHandler - the function called with the current repeat count and failure Throwable and should return one of theParallelFailureHandling enumeration values to indicate how to proceed.
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - runOn
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> runOn(@NonNullScheduler scheduler)
```
    Specifies where each 'rail' will observe its incoming values with no work-stealing and default prefetch amount.
    This operator uses the default prefetch size returned byFlowable.bufferSize().
    The operator will callScheduler.createWorker() as many times as this ParallelFlowable's parallelism level is.
    No assumptions are made about the Scheduler's parallelism level, if the Scheduler's parallelism level is lower than the ParallelFlowable's, some rails may end up on the same thread/worker.
    This operator doesn't require the Scheduler to be trampolining as it does its own built-in trampolining logic.
    Parameters:
    scheduler - the scheduler to use
    Returns:
    the new ParallelFlowable instance
  - runOn
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> runOn(@NonNullScheduler scheduler,        int prefetch)
```
    Specifies where each 'rail' will observe its incoming values with possibly work-stealing and a given prefetch amount.
    This operator uses the default prefetch size returned byFlowable.bufferSize().
    The operator will callScheduler.createWorker() as many times as this ParallelFlowable's parallelism level is.
    No assumptions are made about the Scheduler's parallelism level, if the Scheduler's parallelism level is lower than the ParallelFlowable's, some rails may end up on the same thread/worker.
    This operator doesn't require the Scheduler to be trampolining as it does its own built-in trampolining logic.
    Parameters:
    scheduler - the scheduler to use that rail's worker has run out of work.
    prefetch - the number of values to request on each 'rail' from the source
    Returns:
    the new ParallelFlowable instance
  - reduce
```
@CheckReturnValue@NonNullpublic final Flowable<T> reduce(@NonNullBiFunction<T,T,T> reducer)
```
    Reduces all values within a 'rail' and across 'rails' with a reducer function into a single sequential value.
    Note that the same reducer function may be called from multiple threads concurrently.
    Parameters:
    reducer - the function to reduce two values into one.
    Returns:
    the new Flowable instance emitting the reduced value or empty if the ParallelFlowable was empty
  - reduce
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> reduce(@NonNullCallable<R> initialSupplier,@NonNullBiFunction<R,? superT,R> reducer)
```
    Reduces all values within a 'rail' to a single value (with a possibly different type) via a reducer function that is initialized on each rail from an initialSupplier value.
    Note that the same mapper function may be called from multiple threads concurrently.
    Type Parameters:
    R - the reduced output type
    Parameters:
    initialSupplier - the supplier for the initial value
    reducer - the function to reduce a previous output of reduce (or the initial value supplied) with a current source value.
    Returns:
    the new ParallelFlowable instance
  - sequential
```
@BackpressureSupport(value=FULL)@SchedulerSupport(value="none")@CheckReturnValuepublic final Flowable<T> sequential()
```
    Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a default prefetch value for the rails.
    This operator uses the default prefetch size returned byFlowable.bufferSize().
    Backpressure:
    The operator honors backpressure.
    Scheduler:
    sequential does not operate by default on a particularScheduler.
    Returns:
    the new Flowable instance
    See Also:
    sequential(int),sequentialDelayError()
  - sequential
```
@BackpressureSupport(value=FULL)@SchedulerSupport(value="none")@CheckReturnValue@NonNullpublic final Flowable<T> sequential(int prefetch)
```
    Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a give prefetch value for the rails.
    Backpressure:
    The operator honors backpressure.
    Scheduler:
    sequential does not operate by default on a particularScheduler.
    Parameters:
    prefetch - the prefetch amount to use for each rail
    Returns:
    the new Flowable instance
    See Also:
    sequential(),sequentialDelayError(int)
  - sequentialDelayError
```
@BackpressureSupport(value=FULL)@SchedulerSupport(value="none")@CheckReturnValue@NonNullpublic final Flowable<T> sequentialDelayError()
```
    Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Flowable sequence, running with a default prefetch value for the rails and delaying errors from all rails till all terminate.
    This operator uses the default prefetch size returned byFlowable.bufferSize().
    Backpressure:
    The operator honors backpressure.
    Scheduler:
    sequentialDelayError does not operate by default on a particularScheduler.
    History: 2.0.7 - experimental
    Returns:
    the new Flowable instance
    Since:
    2.2
    See Also:
    sequentialDelayError(int),sequential()
  - sequentialDelayError
```
@BackpressureSupport(value=FULL)@SchedulerSupport(value="none")@CheckReturnValue@NonNullpublic final Flowable<T> sequentialDelayError(int prefetch)
```
    Merges the values from each 'rail' in a round-robin or same-order fashion and exposes it as a regular Publisher sequence, running with a give prefetch value for the rails and delaying errors from all rails till all terminate.
    Backpressure:
    The operator honors backpressure.
    Scheduler:
    sequentialDelayError does not operate by default on a particularScheduler.
    History: 2.0.7 - experimental
    Parameters:
    prefetch - the prefetch amount to use for each rail
    Returns:
    the new Flowable instance
    Since:
    2.2
    See Also:
    sequential(),sequentialDelayError()
  - sorted
```
@CheckReturnValue@NonNullpublic final Flowable<T> sorted(@NonNullComparator<? superT> comparator)
```
    Sorts the 'rails' of this ParallelFlowable and returns a Publisher that sequentially picks the smallest next value from the rails.
    This operator requires a finite source ParallelFlowable.
    Parameters:
    comparator - the comparator to use
    Returns:
    the new Flowable instance
  - sorted
```
@CheckReturnValue@NonNullpublic final Flowable<T> sorted(@NonNullComparator<? superT> comparator,        int capacityHint)
```
    Sorts the 'rails' of this ParallelFlowable and returns a Publisher that sequentially picks the smallest next value from the rails.
    This operator requires a finite source ParallelFlowable.
    Parameters:
    comparator - the comparator to use
    capacityHint - the expected number of total elements
    Returns:
    the new Flowable instance
  - toSortedList
```
@CheckReturnValue@NonNullpublic final Flowable<List<T>> toSortedList(@NonNullComparator<? superT> comparator)
```
    Sorts the 'rails' according to the comparator and returns a full sorted list as a Publisher.
    This operator requires a finite source ParallelFlowable.
    Parameters:
    comparator - the comparator to compare elements
    Returns:
    the new Flowable instance
  - toSortedList
```
@CheckReturnValue@NonNullpublic final Flowable<List<T>> toSortedList(@NonNullComparator<? superT> comparator,        int capacityHint)
```
    Sorts the 'rails' according to the comparator and returns a full sorted list as a Publisher.
    This operator requires a finite source ParallelFlowable.
    Parameters:
    comparator - the comparator to compare elements
    capacityHint - the expected number of total elements
    Returns:
    the new Flowable instance
  - doOnNext
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnNext(@NonNullConsumer<? superT> onNext)
```
    Call the specified consumer with the current element passing through any 'rail'.
    Parameters:
    onNext - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnNext
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnNext(@NonNullConsumer<? superT> onNext,@NonNullParallelFailureHandling errorHandler)
```
    Call the specified consumer with the current element passing through any 'rail' and handles errors based on the givenParallelFailureHandling enumeration value.
    History: 2.0.8 - experimental
    Parameters:
    onNext - the callback
    errorHandler - the enumeration that defines how to handle errors thrown from the onNext consumer
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - doOnNext
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnNext(@NonNullConsumer<? superT> onNext,@NonNullBiFunction<? superLong,? superThrowable,ParallelFailureHandling> errorHandler)
```
    Call the specified consumer with the current element passing through any 'rail' and handles errors based on the returned value by the handler function.
    History: 2.0.8 - experimental
    Parameters:
    onNext - the callback
    errorHandler - the function called with the current repeat count and failure Throwable and should return one of theParallelFailureHandling enumeration values to indicate how to proceed.
    Returns:
    the new ParallelFlowable instance
    Since:
    2.2
  - doAfterNext
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doAfterNext(@NonNullConsumer<? superT> onAfterNext)
```
    Call the specified consumer with the current element passing through any 'rail' after it has been delivered to downstream within the rail.
    Parameters:
    onAfterNext - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnError
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnError(@NonNullConsumer<Throwable> onError)
```
    Call the specified consumer with the exception passing through any 'rail'.
    Parameters:
    onError - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnComplete
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnComplete(@NonNullAction onComplete)
```
    Run the specified Action when a 'rail' completes.
    Parameters:
    onComplete - the callback
    Returns:
    the new ParallelFlowable instance
  - doAfterTerminated
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doAfterTerminated(@NonNullAction onAfterTerminate)
```
    Run the specified Action when a 'rail' completes or signals an error.
    Parameters:
    onAfterTerminate - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnSubscribe
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnSubscribe(@NonNullConsumer<? superSubscription> onSubscribe)
```
    Call the specified callback when a 'rail' receives a Subscription from its upstream.
    Parameters:
    onSubscribe - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnRequest
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnRequest(@NonNullLongConsumer onRequest)
```
    Call the specified consumer with the request amount if any rail receives a request.
    Parameters:
    onRequest - the callback
    Returns:
    the new ParallelFlowable instance
  - doOnCancel
```
@CheckReturnValue@NonNullpublic final ParallelFlowable<T> doOnCancel(@NonNullAction onCancel)
```
    Run the specified Action when a 'rail' receives a cancellation.
    Parameters:
    onCancel - the callback
    Returns:
    the new ParallelFlowable instance
  - collect
```
@CheckReturnValue@NonNullpublic final <C> ParallelFlowable<C> collect(@NonNullCallable<? extends C> collectionSupplier,@NonNullBiConsumer<? super C,? superT> collector)
```
    Collect the elements in each rail into a collection supplied via a collectionSupplier and collected into with a collector action, emitting the collection at the end.
    Type Parameters:
    C - the collection type
    Parameters:
    collectionSupplier - the supplier of the collection in each rail
    collector - the collector, taking the per-rail collection and the current item
    Returns:
    the new ParallelFlowable instance
  - fromArray
```
@CheckReturnValue@NonNullpublic static <T> ParallelFlowable<T> fromArray(@NonNullPublisher<T>... publishers)
```
    Wraps multiple Publishers into a ParallelFlowable which runs them in parallel and unordered.
    Type Parameters:
    T - the value type
    Parameters:
    publishers - the array of publishers
    Returns:
    the new ParallelFlowable instance
  - to
```
@CheckReturnValue@NonNullpublic final <U> U to(@NonNullFunction<? superParallelFlowable<T>,U> converter)
```
    Perform a fluent transformation to a value via a converter function which receives this ParallelFlowable.
    Type Parameters:
    U - the output value type
    Parameters:
    converter - the converter function from ParallelFlowable to some type
    Returns:
    the value returned by the converter function
  - compose
```
@CheckReturnValue@NonNullpublic final <U> ParallelFlowable<U> compose(@NonNullParallelTransformer<T,U> composer)
```
    Allows composing operators, in assembly time, on top of this ParallelFlowable and returns another ParallelFlowable with composed features.
    Type Parameters:
    U - the output value type
    Parameters:
    composer - the composer function from ParallelFlowable (this) to another ParallelFlowable
    Returns:
    the ParallelFlowable returned by the function
  - flatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> flatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper)
```
    Generates and flattens Publishers on each 'rail'.
    Errors are not delayed and uses unbounded concurrency along with default inner prefetch.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    Returns:
    the new ParallelFlowable instance
  - flatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> flatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        boolean delayError)
```
    Generates and flattens Publishers on each 'rail', optionally delaying errors.
    It uses unbounded concurrency along with default inner prefetch.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    delayError - should the errors from the main and the inner sources delayed till everybody terminates?
    Returns:
    the new ParallelFlowable instance
  - flatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> flatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        boolean delayError,        int maxConcurrency)
```
    Generates and flattens Publishers on each 'rail', optionally delaying errors and having a total number of simultaneous subscriptions to the inner Publishers.
    It uses a default inner prefetch.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    delayError - should the errors from the main and the inner sources delayed till everybody terminates?
    maxConcurrency - the maximum number of simultaneous subscriptions to the generated inner Publishers
    Returns:
    the new ParallelFlowable instance
  - flatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> flatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        boolean delayError,        int maxConcurrency,        int prefetch)
```
    Generates and flattens Publishers on each 'rail', optionally delaying errors, having a total number of simultaneous subscriptions to the inner Publishers and using the given prefetch amount for the inner Publishers.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    delayError - should the errors from the main and the inner sources delayed till everybody terminates?
    maxConcurrency - the maximum number of simultaneous subscriptions to the generated inner Publishers
    prefetch - the number of items to prefetch from each inner Publisher
    Returns:
    the new ParallelFlowable instance
  - concatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> concatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper)
```
    Generates and concatenates Publishers on each 'rail', signalling errors immediately and generating 2 publishers upfront.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher source and the inner Publishers (immediate, boundary, end)
    Returns:
    the new ParallelFlowable instance
  - concatMap
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> concatMap(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        int prefetch)
```
    Generates and concatenates Publishers on each 'rail', signalling errors immediately and using the given prefetch amount for generating Publishers upfront.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    prefetch - the number of items to prefetch from each inner Publisher source and the inner Publishers (immediate, boundary, end)
    Returns:
    the new ParallelFlowable instance
  - concatMapDelayError
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> concatMapDelayError(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        boolean tillTheEnd)
```
    Generates and concatenates Publishers on each 'rail', optionally delaying errors and generating 2 publishers upfront.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    tillTheEnd - if true all errors from the upstream and inner Publishers are delayed till all of them terminate, if false, the error is emitted when an inner Publisher terminates. source and the inner Publishers (immediate, boundary, end)
    Returns:
    the new ParallelFlowable instance
  - concatMapDelayError
```
@CheckReturnValue@NonNullpublic final <R> ParallelFlowable<R> concatMapDelayError(@NonNullFunction<? superT,? extendsPublisher<? extends R>> mapper,        int prefetch,        boolean tillTheEnd)
```
    Generates and concatenates Publishers on each 'rail', optionally delaying errors and using the given prefetch amount for generating Publishers upfront.
    Type Parameters:
    R - the result type
    Parameters:
    mapper - the function to map each rail's value into a Publisher
    prefetch - the number of items to prefetch from each inner Publisher
    tillTheEnd - if true all errors from the upstream and inner Publishers are delayed till all of them terminate, if false, the error is emitted when an inner Publisher terminates.
    Returns:
    the new ParallelFlowable instance

Movatterモバイル変換

Class ParallelFlowable<T>

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ParallelFlowable

Method Detail

subscribe

parallelism

validate

from

from

from

as

map

map

map

filter

filter

filter

runOn

runOn

reduce

reduce

sequential

sequential

sequentialDelayError

sequentialDelayError

sorted

sorted

toSortedList

toSortedList

doOnNext

doOnNext

doOnNext

doAfterNext

doOnError

doOnComplete

doAfterTerminated

doOnSubscribe

doOnRequest

doOnCancel

collect

fromArray

to

compose

flatMap

flatMap

flatMap

flatMap

concatMap

concatMap

concatMapDelayError

concatMapDelayError