Java Stream.isParallel方法代码示例

import java.util.stream.Stream; //导入方法依赖的package包/类
/**
 * Returns a {@link Stream} containing the elements of the first stream, followed by the elements
 * of the second stream, and so on.
 *
 * <p>This is equivalent to {@code Stream.of(streams).flatMap(stream -> stream)}, but the returned
 * stream may perform better.
 *
 * @see Stream#concat(Stream, Stream)
 */
@SafeVarargs
public static <T> Stream<T> concat(Stream<? extends T>... streams) {
  // TODO(lowasser): consider an implementation that can support SUBSIZED
  boolean isParallel = false;
  int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
  long estimatedSize = 0L;
  ImmutableList.Builder<Spliterator<? extends T>> splitrsBuilder =
      new ImmutableList.Builder<>(streams.length);
  for (Stream<? extends T> stream : streams) {
    isParallel |= stream.isParallel();
    Spliterator<? extends T> splitr = stream.spliterator();
    splitrsBuilder.add(splitr);
    characteristics &= splitr.characteristics();
    estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
  }
  return StreamSupport.stream(
      CollectSpliterators.flatMap(
          splitrsBuilder.build().spliterator(),
          splitr -> (Spliterator<T>) splitr,
          characteristics,
          estimatedSize),
      isParallel);
}
 

import java.util.stream.Stream; //导入方法依赖的package包/类
/**
 * Zips two streams together using the zipper function, resulting in a single stream of
 * items from each stream combined using the provided function.
 *
 * The resultant stream will have the length of the shorter of the two input streams.
 *
 * Sourced from https://stackoverflow.com/questions/17640754/zipping-streams-using-jdk8-with-lambda-java-util-stream-streams-zip
 */
static <A , B, C> Stream<C> zip(Stream<A> a, Stream<B> b, BiFunction<A, B, C> zipper) {
    Objects.requireNonNull(zipper);
    Spliterator<? extends A> aSpliterator = Objects.requireNonNull(a).spliterator();
    Spliterator<? extends B> bSpliterator = Objects.requireNonNull(b).spliterator();

    // Zipping looses DISTINCT and SORTED characteristics
    int characteristics = aSpliterator.characteristics() & bSpliterator.characteristics() &
        ~(Spliterator.DISTINCT | Spliterator.SORTED);

    long zipSize = ((characteristics & Spliterator.SIZED) != 0)
        ? Math.min(aSpliterator.getExactSizeIfKnown(), bSpliterator.getExactSizeIfKnown())
        : -1;

    Iterator<A> aIterator = Spliterators.iterator(aSpliterator);
    Iterator<B> bIterator = Spliterators.iterator(bSpliterator);
    Iterator<C> cIterator = new Iterator<C>() {
        @Override
        public boolean hasNext() {
            return aIterator.hasNext() && bIterator.hasNext();
        }

        @Override
        public C next() {
            return zipper.apply(aIterator.next(), bIterator.next());
        }
    };

    Spliterator<C> split = Spliterators.spliterator(cIterator, zipSize, characteristics);
    return (a.isParallel() || b.isParallel())
        ? StreamSupport.stream(split, true)
        : StreamSupport.stream(split, false);
}
 

import java.util.stream.Stream; //导入方法依赖的package包/类
/**
 * Returns a stream in which each element is the result of passing the corresponding elementY of
 * each of {@code streamA} and {@code streamB} to {@code function}.
 *
 * <p>For example:
 *
 * <pre>{@code
 * Streams.zip(
 *   Stream.of("foo1", "foo2", "foo3"),
 *   Stream.of("bar1", "bar2"),
 *   (arg1, arg2) -> arg1 + ":" + arg2)
 * }</pre>
 *
 * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
 *
 * <p>The resulting stream will only be as long as the shorter of the two input streams; if one
 * stream is longer, its extra elements will be ignored.
 *
 * <p>Note that if you are calling {@link Stream#forEach} on the resulting stream, you might want
 * to consider using {@link #forEachPair} instead of this method.
 *
 * <p><b>Performance note:</b> The resulting stream is not <a
 * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
 * This may harm parallel performance.
 */
public static <A, B, R> Stream<R> zip(
    Stream<A> streamA, Stream<B> streamB, BiFunction<? super A, ? super B, R> function) {
  checkNotNull(streamA);
  checkNotNull(streamB);
  checkNotNull(function);
  boolean isParallel = streamA.isParallel() || streamB.isParallel(); // same as Stream.concat
  Spliterator<A> splitrA = streamA.spliterator();
  Spliterator<B> splitrB = streamB.spliterator();
  int characteristics =
      splitrA.characteristics()
          & splitrB.characteristics()
          & (Spliterator.SIZED | Spliterator.ORDERED);
  Iterator<A> itrA = Spliterators.iterator(splitrA);
  Iterator<B> itrB = Spliterators.iterator(splitrB);
  return StreamSupport.stream(
      new AbstractSpliterator<R>(
          Math.min(splitrA.estimateSize(), splitrB.estimateSize()), characteristics) {
        @Override
        public boolean tryAdvance(Consumer<? super R> action) {
          if (itrA.hasNext() && itrB.hasNext()) {
            action.accept(function.apply(itrA.next(), itrB.next()));
            return true;
          }
          return false;
        }
      },
      isParallel);
}
 

import java.util.stream.Stream; //导入方法依赖的package包/类
/**
 * Returns a stream in which each element is the result of passing the corresponding element of
 * each of {@code streamA} and {@code streamB} to {@code function}.
 *
 * <p>For example:
 *
 * <pre>{@code
 * Streams.zip(
 *   Stream.of("foo1", "foo2", "foo3"),
 *   Stream.of("bar1", "bar2"),
 *   (arg1, arg2) -> arg1 + ":" + arg2)
 * }</pre>
 *
 * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
 *
 * <p>The resulting stream will only be as long as the shorter of the two input streams; if one
 * stream is longer, its extra elements will be ignored.
 *
 * <p>The resulting stream is not <a
 * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
 * This may harm parallel performance.
 */
public static <A, B, R> Stream<R> zip(
    Stream<A> streamA, Stream<B> streamB, BiFunction<? super A, ? super B, R> function) {
  checkNotNull(streamA);
  checkNotNull(streamB);
  checkNotNull(function);
  boolean isParallel = streamA.isParallel() || streamB.isParallel(); // same as Stream.concat
  Spliterator<A> splitrA = streamA.spliterator();
  Spliterator<B> splitrB = streamB.spliterator();
  int characteristics =
      splitrA.characteristics()
          & splitrB.characteristics()
          & (Spliterator.SIZED | Spliterator.ORDERED);
  Iterator<A> itrA = Spliterators.iterator(splitrA);
  Iterator<B> itrB = Spliterators.iterator(splitrB);
  return StreamSupport.stream(
      new AbstractSpliterator<R>(
          Math.min(splitrA.estimateSize(), splitrB.estimateSize()), characteristics) {
        @Override
        public boolean tryAdvance(Consumer<? super R> action) {
          if (itrA.hasNext() && itrB.hasNext()) {
            action.accept(function.apply(itrA.next(), itrB.next()));
            return true;
          }
          return false;
        }
      },
      isParallel);
}
 

import java.util.stream.Stream; //导入方法依赖的package包/类
/**
 * Invokes {@code consumer} once for each pair of <i>corresponding</i> elements in {@code streamA}
 * and {@code streamB}. If one stream is longer than the other, the extra elements are silently
 * ignored. Elements passed to the consumer are guaranteed to come from the same position in their
 * respective source streams. For example:
 *
 * <pre>{@code
 * Streams.forEachPair(
 *   Stream.of("foo1", "foo2", "foo3"),
 *   Stream.of("bar1", "bar2"),
 *   (arg1, arg2) -> System.out.println(arg1 + ":" + arg2)
 * }</pre>
 *
 * <p>will print:
 *
 * <pre>{@code
 * foo1:bar1
 * foo2:bar2
 * }</pre>
 *
 * <p><b>Warning:</b> If either supplied stream is a parallel stream, the same correspondence
 * between elements will be made, but the order in which those pairs of elements are passed to the
 * consumer is <i>not</i> defined.
 *
 * <p>Note that many usages of this method can be replaced with simpler calls to {@link #zip}.
 * This method behaves equivalently to {@linkplain #zip zipping} the stream elements into
 * temporary pair objects and then using {@link Stream#forEach} on that stream.
 *
 * @since 22.0
 */
public static <A, B> void forEachPair(
    Stream<A> streamA, Stream<B> streamB, BiConsumer<? super A, ? super B> consumer) {
  checkNotNull(consumer);

  if (streamA.isParallel() || streamB.isParallel()) {
    zip(streamA, streamB, TemporaryPair::new).forEach(pair -> consumer.accept(pair.a, pair.b));
  } else {
    Iterator<A> iterA = streamA.iterator();
    Iterator<B> iterB = streamB.iterator();
    while (iterA.hasNext() && iterB.hasNext()) {
      consumer.accept(iterA.next(), iterB.next());
    }
  }
}