/*
* Copyright (c) 2011-2017 Pivotal Software Inc, All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package reactor.core.publisher;
import java.util.function.
Function;
import reactor.core.
CoreSubscriber;
import reactor.core.
Fuseable;
import reactor.core.
Scannable;
import reactor.util.annotation.
Nullable;
/**
* Maps each 'rail' of the source ParallelFlux with a mapper function.
*
* @param <T> the input value type
* @param <R> the output value type
*/
final class
ParallelMap<T, R> extends
ParallelFlux<R> implements
Scannable {
final
ParallelFlux<T>
source;
final
Function<? super T, ? extends R>
mapper;
ParallelMap(
ParallelFlux<T>
source,
Function<? super T, ? extends R>
mapper) {
this.
source =
source;
this.
mapper =
mapper;
}
@
Override
@
Nullable
public
Object scanUnsafe(
Attr key) {
if (
key ==
Attr.
PARENT) return
source;
if (
key ==
Attr.
PREFETCH) return
getPrefetch();
return null;
}
@
Override
@
SuppressWarnings("unchecked")
public void
subscribe(
CoreSubscriber<? super R>[]
subscribers) {
if (!
validate(
subscribers)) {
return;
}
int
n =
subscribers.length;
CoreSubscriber<? super T>[]
parents = new
CoreSubscriber[
n];
boolean
conditional =
subscribers[0] instanceof
Fuseable.
ConditionalSubscriber;
for (int
i = 0;
i <
n;
i++) {
if (
conditional) {
parents[
i] =
new
FluxMap.
MapConditionalSubscriber<>((
Fuseable.
ConditionalSubscriber<R>)
subscribers[
i],
mapper);
}
else {
parents[
i] = new
FluxMap.
MapSubscriber<>(
subscribers[
i],
mapper);
}
}
source.
subscribe(
parents);
}
@
Override
public int
parallelism() {
return
source.
parallelism();
}
}