com.landawn.abacus.util.stream

Class DoubleStream

java.lang.Object

com.landawn.abacus.util.stream.DoubleStream

All Implemented Interfaces:

BaseStream<Double,double[],DoublePredicate,DoubleConsumer,DoubleList,u.OptionalDouble,IndexedDouble,DoubleIterator,DoubleStream>, AutoCloseable

Direct Known Subclasses:

DoubleStream.DoubleStreamEx

public abstract class DoubleStream
extends Object

The Stream will be automatically closed after execution(A terminal method is executed/triggered).

See Also:

BaseStream, Stream

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DoubleStream.DoubleStreamEx

Nested classes/interfaces inherited from interface com.landawn.abacus.util.stream.BaseStream

BaseStream.Splitor

Method Summary

Modifier and Type	Method and Description
<SS extends BaseStream> SS	__(Function<? super DoubleStream,SS> transfer)
abstract <E extends Exception> boolean	allMatch(Try.DoublePredicate<E> predicate)
abstract <E extends Exception> boolean	anyMatch(Try.DoublePredicate<E> predicate)
abstract DoubleStream	append(double... a)
abstract DoubleStream	appendIfEmpty(double... a)
abstract u.OptionalDouble	average()
abstract Stream<Double>	boxed()
S	carry(C action) Same as peek
void	close()
abstract Stream<DoubleList>	collapse(DoubleBiPredicate collapsible) Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
abstract DoubleStream	collapse(DoubleBiPredicate collapsible, DoubleBinaryOperator mergeFunction) Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
abstract <R> R	collect(Supplier<R> supplier, ObjDoubleConsumer<? super R> accumulator)
abstract <R> R	collect(Supplier<R> supplier, ObjDoubleConsumer<? super R> accumulator, BiConsumer<R,R> combiner)
static DoubleStream	concat(Collection<? extends DoubleStream> c)
static DoubleStream	concat(double[]... a)
static DoubleStream	concat(DoubleIterator... a)
static DoubleStream	concat(DoubleStream... a)
static DoubleStream	empty()
abstract <E extends Exception> u.OptionalDouble	findAny(Try.DoublePredicate<E> predicate)
abstract <E extends Exception> u.OptionalDouble	findFirst(Try.DoublePredicate<E> predicate)
abstract <E extends Exception,E2 extends Exception> u.OptionalDouble	findFirstOrLast(Try.DoublePredicate<E> predicateForFirst, Try.DoublePredicate<E> predicateForLast)
abstract <E extends Exception> u.OptionalDouble	findLast(Try.DoublePredicate<E> predicate)
static DoubleStream	flat(double[][] a)
static DoubleStream	flat(double[][][] a)
static DoubleStream	flat(double[][] a, boolean vertically)
static DoubleStream	flat(double[][] a, double valueForNone, boolean vertically)
abstract DoubleStream	flatMap(DoubleFunction<? extends DoubleStream> mapper)
abstract <T> Stream<T>	flatMappToObj(DoubleFunction<T[]> mapper)
abstract FloatStream	flatMapToFloat(DoubleFunction<? extends FloatStream> mapper)
abstract IntStream	flatMapToInt(DoubleFunction<? extends IntStream> mapper)
abstract LongStream	flatMapToLong(DoubleFunction<? extends LongStream> mapper)
abstract <T> Stream<T>	flatMapToObj(DoubleFunction<? extends Stream<T>> mapper)
abstract DoubleStream	flattMap(DoubleFunction<double[]> mapper)
abstract <T> Stream<T>	flattMapToObj(DoubleFunction<? extends Collection<T>> mapper)
abstract <E extends Exception> void	forEach(Try.DoubleConsumer<E> action)
static DoubleStream	from(float... a)
static DoubleStream	from(float[] a, int fromIndex, int toIndex)
static DoubleStream	generate(DoubleSupplier s)
boolean	isParallel()
static DoubleStream	iterate(BooleanSupplier hasNext, DoubleSupplier next)
static DoubleStream	iterate(double init, BooleanSupplier hasNext, DoubleUnaryOperator f)
static DoubleStream	iterate(double init, DoublePredicate hasNext, DoubleUnaryOperator f)
static DoubleStream	iterate(double init, DoubleUnaryOperator f)
DoubleIterator	iterator() Remember to close this Stream after the iteration is done, if needed.
String	join(CharSequence delimiter)
abstract u.OptionalDouble	kthLargest(int k)
abstract DoubleStream	map(DoubleUnaryOperator mapper)
abstract FloatStream	mapToFloat(DoubleToFloatFunction mapper)
abstract IntStream	mapToInt(DoubleToIntFunction mapper)
abstract LongStream	mapToLong(DoubleToLongFunction mapper)
abstract <U> Stream<U>	mapToObj(DoubleFunction<? extends U> mapper)
abstract u.OptionalDouble	max()
static DoubleStream	merge(Collection<? extends DoubleStream> c, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(double[] a, double[] b, double[] c, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(double[] a, double[] b, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(DoubleIterator a, DoubleIterator b, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(DoubleIterator a, DoubleIterator b, DoubleIterator c, DoubleBiFunction<Nth> nextSelector)
abstract DoubleStream	merge(DoubleStream b, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(DoubleStream a, DoubleStream b, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	merge(DoubleStream a, DoubleStream b, DoubleStream c, DoubleBiFunction<Nth> nextSelector)
abstract u.OptionalDouble	min()
abstract <E extends Exception> boolean	noneMatch(Try.DoublePredicate<E> predicate)
static DoubleStream	of(Collection<Double> c)
static DoubleStream	of(double... a)
static DoubleStream	of(Double[] a)
static DoubleStream	of(double[] a, int startIndex, int endIndex)
static DoubleStream	of(Double[] a, int startIndex, int endIndex)
static DoubleStream	of(DoubleIterator iterator)
static DoubleStream	of(DoubleStream stream)
static DoubleStream	of(Supplier<DoubleList> supplier) Lazy evaluation.
S	parallel()
S	parallel(BaseStream.Splitor splitor)
S	parallel(Executor executor)
S	parallel(int maxThreadNum)
S	parallel(int maxThreadNum, BaseStream.Splitor splitor) Returns an equivalent stream that is parallel.
S	parallel(int maxThreadNum, BaseStream.Splitor splitor, Executor executor)
S	parallel(int maxThreadNum, Executor executor)
static DoubleStream	parallelMerge(Collection<? extends DoubleStream> c, DoubleBiFunction<Nth> nextSelector)
static DoubleStream	parallelMerge(Collection<? extends DoubleStream> c, DoubleBiFunction<Nth> nextSelector, int maxThreadNum)
abstract DoubleStream	prepend(double... a)
void	println()
static DoubleStream	random()
abstract DoubleStream	rangeMap(DoubleBiPredicate sameRange, DoubleBinaryOperator mapper) Note: copied from StreamEx: https://github.com/amaembo/streamex Returns a stream consisting of results of applying the given function to the ranges created from the source elements.
abstract <T> Stream<T>	rangeMapToObj(DoubleBiPredicate sameRange, DoubleBiFunction<T> mapper) Note: copied from StreamEx: https://github.com/amaembo/streamex Returns a stream consisting of results of applying the given function to the ranges created from the source elements.
abstract u.OptionalDouble	reduce(DoubleBinaryOperator op)
abstract double	reduce(double identity, DoubleBinaryOperator op)
static DoubleStream	repeat(double element, long n)
abstract DoubleStream	scan(DoubleBinaryOperator accumulator) Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream.
abstract DoubleStream	scan(double init, DoubleBinaryOperator accumulator) Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream.
abstract DoubleStream	scan(double init, DoubleBinaryOperator accumulator, boolean initIncluded)
S	sequential()
S	shuffled() This method only run sequentially, even in parallel stream and all elements will be loaded to memory.
Stream<S>	sliding(int windowSize)
Stream<PL>	slidingToList(int windowSize)
abstract double	sum()
abstract DoubleSummaryStatistics	summarize()
abstract Pair<DoubleSummaryStatistics,u.Optional<Map<Percentage,Double>>>	summarizeAndPercentiles()
abstract DoubleList	toDoubleList()
ImmutableList<T>	toImmutableList()
ImmutableSet<T>	toImmutableSet()
abstract DoubleStream	toJdkStream()
abstract <K,A,D> Map<K,D>	toMap(DoubleFunction<? extends K> keyMapper, Collector<Double,A,D> downstream)
abstract <K,A,D,M extends Map<K,D>> M	toMap(DoubleFunction<? extends K> keyMapper, Collector<Double,A,D> downstream, Supplier<? extends M> mapFactory)
abstract <K,V> Map<K,V>	toMap(DoubleFunction<? extends K> keyMapper, DoubleFunction<? extends V> valueMapper)
abstract <K,V> Map<K,V>	toMap(DoubleFunction<? extends K> keyMapper, DoubleFunction<? extends V> valueMapper, BinaryOperator<V> mergeFunction)
abstract <K,V,M extends Map<K,V>> M	toMap(DoubleFunction<? extends K> keyMapper, DoubleFunction<? extends V> valueMapper, BinaryOperator<V> mergeFunction, Supplier<? extends M> mapFactory)
abstract <K,V,M extends Map<K,V>> M	toMap(DoubleFunction<? extends K> keyMapper, DoubleFunction<? extends V> valueMapper, Supplier<? extends M> mapFactory)
abstract DoubleStream	top(int n) This method only run sequentially, even in parallel stream.
abstract DoubleStream	top(int n, Comparator<? super Double> comparator) This method only run sequentially, even in parallel stream.
static DoubleStream	zip(Collection<? extends DoubleStream> c, double[] valuesForNone, DoubleNFunction<Double> zipFunction) Zip together the iterators until all of them runs out of values.
static DoubleStream	zip(Collection<? extends DoubleStream> c, DoubleNFunction<Double> zipFunction) Zip together the iterators until one of them runs out of values.
static DoubleStream	zip(double[] a, double[] b, double[] c, double valueForNoneA, double valueForNoneB, double valueForNoneC, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static DoubleStream	zip(double[] a, double[] b, double[] c, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" arrays until one of them runs out of values.
static DoubleStream	zip(double[] a, double[] b, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" arrays until one of them runs out of values.
static DoubleStream	zip(double[] a, double[] b, double valueForNoneA, double valueForNoneB, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static DoubleStream	zip(DoubleIterator a, DoubleIterator b, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" iterators until one of them runs out of values.
static DoubleStream	zip(DoubleIterator a, DoubleIterator b, double valueForNoneA, double valueForNoneB, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static DoubleStream	zip(DoubleIterator a, DoubleIterator b, DoubleIterator c, double valueForNoneA, double valueForNoneB, double valueForNoneC, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static DoubleStream	zip(DoubleIterator a, DoubleIterator b, DoubleIterator c, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until one of them runs out of values.
static DoubleStream	zip(DoubleStream a, DoubleStream b, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" streams until one of them runs out of values.
static DoubleStream	zip(DoubleStream a, DoubleStream b, double valueForNoneA, double valueForNoneB, DoubleBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static DoubleStream	zip(DoubleStream a, DoubleStream b, DoubleStream c, double valueForNoneA, double valueForNoneB, double valueForNoneC, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static DoubleStream	zip(DoubleStream a, DoubleStream b, DoubleStream c, DoubleTernaryOperator zipFunction) Zip together the "a", "b" and "c" streams until one of them runs out of values.
abstract DoubleStream	zipWith(DoubleStream b, DoubleBinaryOperator zipFunction)
abstract DoubleStream	zipWith(DoubleStream b, double valueForNoneA, double valueForNoneB, DoubleBinaryOperator zipFunction)
abstract DoubleStream	zipWith(DoubleStream b, DoubleStream c, double valueForNoneA, double valueForNoneB, double valueForNoneC, DoubleTernaryOperator zipFunction)
abstract DoubleStream	zipWith(DoubleStream b, DoubleStream c, DoubleTernaryOperator zipFunction)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.landawn.abacus.util.stream.BaseStream

acceptIfNotEmpty, append, appendIfEmpty, applyIfNotEmpty, count, difference, distinct, dropWhile, dropWhile, filter, filter, first, indexed, intersection, join, last, limit, onClose, onlyOne, peek, percentiles, prepend, removeIf, removeIf, reversed, reverseSorted, rotated, shuffled, skip, skip, sliding, slidingToList, sorted, split, split, splitAt, splitBy, splitToList, splitToList, step, symmetricDifference, takeWhile, toArray, toCollection, toList, toLongMultiset, toLongMultiset, toMultiset, toMultiset, toSet

Method Detail

map

public abstract DoubleStream map(DoubleUnaryOperator mapper)

mapToInt

public abstract IntStream mapToInt(DoubleToIntFunction mapper)

mapToLong

public abstract LongStream mapToLong(DoubleToLongFunction mapper)

mapToFloat

public abstract FloatStream mapToFloat(DoubleToFloatFunction mapper)

mapToObj

public abstract <U> Stream<U> mapToObj(DoubleFunction<? extends U> mapper)

flatMap

public abstract DoubleStream flatMap(DoubleFunction<? extends DoubleStream> mapper)

flattMap

public abstract DoubleStream flattMap(DoubleFunction<double[]> mapper)

flatMapToInt

public abstract IntStream flatMapToInt(DoubleFunction<? extends IntStream> mapper)

flatMapToLong

public abstract LongStream flatMapToLong(DoubleFunction<? extends LongStream> mapper)

flatMapToFloat

public abstract FloatStream flatMapToFloat(DoubleFunction<? extends FloatStream> mapper)

flatMapToObj

public abstract <T> Stream<T> flatMapToObj(DoubleFunction<? extends Stream<T>> mapper)

flattMapToObj

public abstract <T> Stream<T> flattMapToObj(DoubleFunction<? extends Collection<T>> mapper)

flatMappToObj

public abstract <T> Stream<T> flatMappToObj(DoubleFunction<T[]> mapper)

rangeMap

@SequentialOnly
public abstract DoubleStream rangeMap(DoubleBiPredicate sameRange,
                                                       DoubleBinaryOperator mapper)

Note: copied from StreamEx: https://github.com/amaembo/streamex
Returns a stream consisting of results of applying the given function to the ranges created from the source elements. This is a quasi-intermediate partial reduction operation.

Parameters:

sameRange - a non-interfering, stateless predicate to apply to the leftmost and next elements which returns true for elements which belong to the same range.

mapper - a non-interfering, stateless function to apply to the range borders and produce the resulting element. If value was not merged to the interval, then mapper will receive the same value twice, otherwise it will receive the leftmost and the rightmost values which were merged to the range.

Returns:

See Also:

collapse(DoubleBiPredicate, DoubleBinaryOperator), Stream.rangeMap(BiPredicate, BiFunction)

rangeMapToObj

@SequentialOnly
public abstract <T> Stream<T> rangeMapToObj(DoubleBiPredicate sameRange,
                                                             DoubleBiFunction<T> mapper)

Note: copied from StreamEx: https://github.com/amaembo/streamex
Returns a stream consisting of results of applying the given function to the ranges created from the source elements. This is a quasi-intermediate partial reduction operation.

Parameters:

sameRange - a non-interfering, stateless predicate to apply to the leftmost and next elements which returns true for elements which belong to the same range.

mapper - a non-interfering, stateless function to apply to the range borders and produce the resulting element. If value was not merged to the interval, then mapper will receive the same value twice, otherwise it will receive the leftmost and the rightmost values which were merged to the range.

Returns:

See Also:

Stream.rangeMap(BiPredicate, BiFunction)

collapse

@SequentialOnly
public abstract Stream<DoubleList> collapse(DoubleBiPredicate collapsible)

Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
This method only run sequentially, even in parallel stream.

Parameters:

collapsible -

Returns:

collapse

@SequentialOnly
public abstract DoubleStream collapse(DoubleBiPredicate collapsible,
                                                       DoubleBinaryOperator mergeFunction)

Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
This method only run sequentially, even in parallel stream.

Parameters:

collapsible -

mergeFunction -

Returns:

scan

@SequentialOnly
public abstract DoubleStream scan(DoubleBinaryOperator accumulator)

Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream. Produces a Stream consisting of init, acc(init, value1), acc(acc(init, value1), value2), etc.

This is an intermediate operation.

Example:

 accumulator: (a, b) -> a + b
 stream: [1, 2, 3, 4, 5]
 result: [1, 3, 6, 10, 15]
 

This method only run sequentially, even in parallel stream.

Parameters:

accumulator - the accumulation function

Returns:

scan

@SequentialOnly
public abstract DoubleStream scan(double init,
                                                   DoubleBinaryOperator accumulator)

Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream. Produces a Stream consisting of init, acc(init, value1), acc(acc(init, value1), value2), etc.

This is an intermediate operation.

Example:

 init:10
 accumulator: (a, b) -> a + b
 stream: [1, 2, 3, 4, 5]
 result: [11, 13, 16, 20, 25]
 

This method only run sequentially, even in parallel stream.

Parameters:

init - the initial value. it's only used once by accumulator to calculate the fist element in the returned stream. It will be ignored if this stream is empty and won't be the first element of the returned stream.

accumulator - the accumulation function

Returns:

scan

@SequentialOnly
public abstract DoubleStream scan(double init,
                                                   DoubleBinaryOperator accumulator,
                                                   boolean initIncluded)

Parameters:

init -

accumulator -

initIncluded -

Returns:

prepend

public abstract DoubleStream prepend(double... a)

append

public abstract DoubleStream append(double... a)

appendIfEmpty

public abstract DoubleStream appendIfEmpty(double... a)

top

@SequentialOnly
public abstract DoubleStream top(int n)

This method only run sequentially, even in parallel stream.

Parameters:

n -

Returns:

top

@SequentialOnly
public abstract DoubleStream top(int n,
                                                  Comparator<? super Double> comparator)

This method only run sequentially, even in parallel stream.

Parameters:

n -

comparator -

Returns:

toDoubleList

public abstract DoubleList toDoubleList()

toMap

public abstract <K,V> Map<K,V> toMap(DoubleFunction<? extends K> keyMapper,
                                     DoubleFunction<? extends V> valueMapper)

Parameters:

keyMapper -

valueMapper -

Returns:

See Also:

Collectors.toMap(Function, Function)

toMap

public abstract <K,V,M extends Map<K,V>> M toMap(DoubleFunction<? extends K> keyMapper,
                                                 DoubleFunction<? extends V> valueMapper,
                                                 Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

valueMapper -

mapFactory -

Returns:

See Also:

Collectors.toMap(Function, Function, Supplier)

toMap

public abstract <K,V> Map<K,V> toMap(DoubleFunction<? extends K> keyMapper,
                                     DoubleFunction<? extends V> valueMapper,
                                     BinaryOperator<V> mergeFunction)

Parameters:

keyMapper -

valueMapper -

mergeFunction -

Returns:

See Also:

Collectors.toMap(Function, Function, BinaryOperator)

toMap

public abstract <K,V,M extends Map<K,V>> M toMap(DoubleFunction<? extends K> keyMapper,
                                                 DoubleFunction<? extends V> valueMapper,
                                                 BinaryOperator<V> mergeFunction,
                                                 Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

valueMapper -

mergeFunction -

mapFactory -

Returns:

See Also:

Collectors.toMap(Function, Function, BinaryOperator, Supplier)

toMap

public abstract <K,A,D> Map<K,D> toMap(DoubleFunction<? extends K> keyMapper,
                                       Collector<Double,A,D> downstream)

Parameters:

keyMapper -

downstream -

Returns:

See Also:

Collectors.groupingBy(Function, Collector)

toMap

public abstract <K,A,D,M extends Map<K,D>> M toMap(DoubleFunction<? extends K> keyMapper,
                                                   Collector<Double,A,D> downstream,
                                                   Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

downstream -

mapFactory -

Returns:

See Also:

Collectors.groupingBy(Function, Collector, Supplier)

reduce

public abstract double reduce(double identity,
                              DoubleBinaryOperator op)

reduce

public abstract u.OptionalDouble reduce(DoubleBinaryOperator op)

collect

public abstract <R> R collect(Supplier<R> supplier,
                              ObjDoubleConsumer<? super R> accumulator,
                              BiConsumer<R,R> combiner)

collect

public abstract <R> R collect(Supplier<R> supplier,
                              ObjDoubleConsumer<? super R> accumulator)

forEach

public abstract <E extends Exception> void forEach(Try.DoubleConsumer<E> action)
                                            throws E extends Exception

Throws:

E extends Exception

anyMatch

public abstract <E extends Exception> boolean anyMatch(Try.DoublePredicate<E> predicate)
                                                throws E extends Exception

Throws:

E extends Exception

allMatch

public abstract <E extends Exception> boolean allMatch(Try.DoublePredicate<E> predicate)
                                                throws E extends Exception

Throws:

E extends Exception

noneMatch

public abstract <E extends Exception> boolean noneMatch(Try.DoublePredicate<E> predicate)
                                                 throws E extends Exception

Throws:

E extends Exception

findFirst

public abstract <E extends Exception> u.OptionalDouble findFirst(Try.DoublePredicate<E> predicate)
                                                          throws E extends Exception

Throws:

E extends Exception

findLast

public abstract <E extends Exception> u.OptionalDouble findLast(Try.DoublePredicate<E> predicate)
                                                         throws E extends Exception

Throws:

E extends Exception

findFirstOrLast

public abstract <E extends Exception,E2 extends Exception> u.OptionalDouble findFirstOrLast(Try.DoublePredicate<E> predicateForFirst,
                                                                                            Try.DoublePredicate<E> predicateForLast)
                                                                                     throws E extends Exception,
                                                                                            E2 extends Exception

Throws:

E extends Exception

findAny

public abstract <E extends Exception> u.OptionalDouble findAny(Try.DoublePredicate<E> predicate)
                                                        throws E extends Exception

Throws:

E extends Exception

min

public abstract u.OptionalDouble min()

max

public abstract u.OptionalDouble max()

kthLargest

public abstract u.OptionalDouble kthLargest(int k)

Parameters:

k -

Returns:

OptionalByte.empty() if there is no element or count less than k, otherwise the kth largest element.

sum

public abstract double sum()

average

public abstract u.OptionalDouble average()

summarize

public abstract DoubleSummaryStatistics summarize()

summarizeAndPercentiles

public abstract Pair<DoubleSummaryStatistics,u.Optional<Map<Percentage,Double>>> summarizeAndPercentiles()

merge

public abstract DoubleStream merge(DoubleStream b,
                                   DoubleBiFunction<Nth> nextSelector)

Parameters:

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

zipWith

public abstract DoubleStream zipWith(DoubleStream b,
                                     DoubleBinaryOperator zipFunction)

zipWith

public abstract DoubleStream zipWith(DoubleStream b,
                                     DoubleStream c,
                                     DoubleTernaryOperator zipFunction)

zipWith

public abstract DoubleStream zipWith(DoubleStream b,
                                     double valueForNoneA,
                                     double valueForNoneB,
                                     DoubleBinaryOperator zipFunction)

zipWith

public abstract DoubleStream zipWith(DoubleStream b,
                                     DoubleStream c,
                                     double valueForNoneA,
                                     double valueForNoneB,
                                     double valueForNoneC,
                                     DoubleTernaryOperator zipFunction)

toJdkStream

public abstract DoubleStream toJdkStream()

boxed

public abstract Stream<Double> boxed()

iterator

public DoubleIterator iterator()

Remember to close this Stream after the iteration is done, if needed.

Returns:

__

@SequentialOnly
 @Beta
public <SS extends BaseStream> SS __(Function<? super DoubleStream,SS> transfer)

empty

public static DoubleStream empty()

of

@SafeVarargs
public static DoubleStream of(double... a)

of

public static DoubleStream of(double[] a,
                              int startIndex,
                              int endIndex)

of

public static DoubleStream of(Double[] a)

of

public static DoubleStream of(Double[] a,
                              int startIndex,
                              int endIndex)

of

public static DoubleStream of(Collection<Double> c)

of

public static DoubleStream of(DoubleIterator iterator)

of

public static DoubleStream of(Supplier<DoubleList> supplier)

Lazy evaluation.

Parameters:

supplier -

Returns:

of

public static DoubleStream of(DoubleStream stream)

flat

public static DoubleStream flat(double[][] a)

flat

public static DoubleStream flat(double[][] a,
                                boolean vertically)

flat

public static DoubleStream flat(double[][] a,
                                double valueForNone,
                                boolean vertically)

flat

public static DoubleStream flat(double[][][] a)

from

@SafeVarargs
public static DoubleStream from(float... a)

from

public static DoubleStream from(float[] a,
                                int fromIndex,
                                int toIndex)

repeat

public static DoubleStream repeat(double element,
                                  long n)

random

public static DoubleStream random()

iterate

public static DoubleStream iterate(BooleanSupplier hasNext,
                                   DoubleSupplier next)

iterate

public static DoubleStream iterate(double init,
                                   BooleanSupplier hasNext,
                                   DoubleUnaryOperator f)

iterate

public static DoubleStream iterate(double init,
                                   DoublePredicate hasNext,
                                   DoubleUnaryOperator f)

Parameters:

init -

hasNext - test if has next by hasNext.test(init) for first time and hasNext.test(f.apply(previous)) for remaining.

f -

Returns:

iterate

public static DoubleStream iterate(double init,
                                   DoubleUnaryOperator f)

generate

public static DoubleStream generate(DoubleSupplier s)

concat

@SafeVarargs
public static DoubleStream concat(double[]... a)

concat

@SafeVarargs
public static DoubleStream concat(DoubleIterator... a)

concat

@SafeVarargs
public static DoubleStream concat(DoubleStream... a)

concat

public static DoubleStream concat(Collection<? extends DoubleStream> c)

zip

public static DoubleStream zip(double[] a,
                               double[] b,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" arrays until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static DoubleStream zip(double[] a,
                               double[] b,
                               double[] c,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" arrays until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

Returns:

zip

public static DoubleStream zip(DoubleIterator a,
                               DoubleIterator b,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static DoubleStream zip(DoubleIterator a,
                               DoubleIterator b,
                               DoubleIterator c,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static DoubleStream zip(DoubleStream a,
                               DoubleStream b,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" streams until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static DoubleStream zip(DoubleStream a,
                               DoubleStream b,
                               DoubleStream c,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" streams until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static DoubleStream zip(Collection<? extends DoubleStream> c,
                               DoubleNFunction<Double> zipFunction)

Zip together the iterators until one of them runs out of values. Each array of values is combined into a single value using the supplied zipFunction function.

Parameters:

c -

zipFunction -

Returns:

zip

public static DoubleStream zip(double[] a,
                               double[] b,
                               double valueForNoneA,
                               double valueForNoneB,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static DoubleStream zip(double[] a,
                               double[] b,
                               double[] c,
                               double valueForNoneA,
                               double valueForNoneB,
                               double valueForNoneC,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static DoubleStream zip(DoubleIterator a,
                               DoubleIterator b,
                               double valueForNoneA,
                               double valueForNoneB,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static DoubleStream zip(DoubleIterator a,
                               DoubleIterator b,
                               DoubleIterator c,
                               double valueForNoneA,
                               double valueForNoneB,
                               double valueForNoneC,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static DoubleStream zip(DoubleStream a,
                               DoubleStream b,
                               double valueForNoneA,
                               double valueForNoneB,
                               DoubleBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static DoubleStream zip(DoubleStream a,
                               DoubleStream b,
                               DoubleStream c,
                               double valueForNoneA,
                               double valueForNoneB,
                               double valueForNoneC,
                               DoubleTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static DoubleStream zip(Collection<? extends DoubleStream> c,
                               double[] valuesForNone,
                               DoubleNFunction<Double> zipFunction)

Zip together the iterators until all of them runs out of values. Each array of values is combined into a single value using the supplied zipFunction function.

Parameters:

c -

valuesForNone - value to fill for any iterator runs out of values.

zipFunction -

Returns:

merge

public static DoubleStream merge(double[] a,
                                 double[] b,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(double[] a,
                                 double[] b,
                                 double[] c,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(DoubleIterator a,
                                 DoubleIterator b,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(DoubleIterator a,
                                 DoubleIterator b,
                                 DoubleIterator c,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(DoubleStream a,
                                 DoubleStream b,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(DoubleStream a,
                                 DoubleStream b,
                                 DoubleStream c,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static DoubleStream merge(Collection<? extends DoubleStream> c,
                                 DoubleBiFunction<Nth> nextSelector)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

parallelMerge

public static DoubleStream parallelMerge(Collection<? extends DoubleStream> c,
                                         DoubleBiFunction<Nth> nextSelector)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

parallelMerge

public static DoubleStream parallelMerge(Collection<? extends DoubleStream> c,
                                         DoubleBiFunction<Nth> nextSelector,
                                         int maxThreadNum)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

maxThreadNum -

Returns:

carry

public S carry(C action)

Description copied from interface: BaseStream

Same as peek

Specified by:

carry in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.peek(Object)

sliding

public Stream<S> sliding(int windowSize)

Specified by:

sliding in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.sliding(int, int)

slidingToList

public Stream<PL> slidingToList(int windowSize)

Specified by:

slidingToList in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.sliding(int, int)

shuffled

public S shuffled()

Description copied from interface: BaseStream

This method only run sequentially, even in parallel stream and all elements will be loaded to memory.

Specified by:

shuffled in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

toImmutableList

public ImmutableList<T> toImmutableList()

Specified by:

toImmutableList in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

toImmutableSet

public ImmutableSet<T> toImmutableSet()

Specified by:

toImmutableSet in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

join

public String join(CharSequence delimiter)

Specified by:

join in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

println

public void println()

Specified by:

println in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

isParallel

public boolean isParallel()

Specified by:

isParallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

sequential

public S sequential()

Specified by:

sequential in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel()

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(int maxThreadNum)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(BaseStream.Splitor splitor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(int maxThreadNum,
                  BaseStream.Splitor splitor)

Description copied from interface: BaseStream

Returns an equivalent stream that is parallel. May return itself if the stream was already parallel with the same maxThreadNum and splitor as the specified ones.

When to use parallel Streams?

• First of all, do NOT and should NOT use parallel Streams if you don't have any problem with sequential Streams, because using parallel Streams has extra cost.
• Consider using parallel Streams only when N(the number of elements) * Q(cost per element of F, the per-element function (usually a lambda)) is big enough(e.g. IO involved. Network: DB/web service request..., Reading/Writing file...).
• It's easy to test out the differences of performance by sequential Streams and parallel Streams with Profiler:

 
 Profiler.run(1, 1, 3, "sequential", () -> Stream.of(list).operation(F)...).printResult();
 Profiler.run(1, 1, 3, "parallel", () -> Stream.of(list).parallel().operation(F)...).printResult();
 
 

Here is a sample performance test with computer: CPU Intel i7-3520M 4-cores 2.9 GHz, JDK 1.8.0_101, Windows 7:

 
 public void test_perf() {
     final String[] strs = new String[10_000];
     N.fill(strs, N.uuid());

     final int m = 1;
     final Function mapper = str -> {
         long result = 0;
         for (int i = 0; i < m; i++) {
             result += sum(str.toCharArray()) + 1;
         }
         return result;
     };

     final MutableLong sum = MutableLong.of(0);

     for (int i = 0, len = strs.length; i < len; i++) {
         sum.add(mapper.apply(strs[i]));
     }

     final int threadNum = 1, loopNum = 100, roundNum = 3;

     Profiler.run(threadNum, loopNum, roundNum, "For Loop", () -> {
         long result = 0;
         for (int i = 0, len = strs.length; i < len; i++) {
             result += mapper.apply(strs[i]);
         }
         assertEquals(sum.longValue(), result);
     }).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "JDK Sequential",
             () -> assertEquals(sum.longValue(), java.util.stream.Stream.of(strs).map(mapper).mapToLong(e -> e).sum())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "JDK Parallel",
             () -> assertEquals(sum.longValue(), java.util.stream.Stream.of(strs).parallel().map(mapper).mapToLong(e -> e).sum())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "Abcus Sequential",
             () -> assertEquals(sum.longValue(), Stream.of(strs).map(mapper).mapToLong(e -> e).sum().longValue())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "Abcus Parallel",
             () -> assertEquals(sum.longValue(), Stream.of(strs).parallel().map(mapper).mapToLong(e -> e).sum().longValue())).printResult();
 }
 
 

And test result: Unit is milliseconds. N(the number of elements) is 10_000, Q(cost per element of F, the per-element function (usually a lambda), here is mapper) is calculated by: value of 'For loop' / N(10_000).

	m = 1	m = 10	m = 50	m = 100	m = 500	m = 1000
Q	0.00002	0.0002	0.001	0.002	0.01	0.02
For Loop	0.23	2.3	11	22	110	219
JDK Sequential	0.28	2.3	11	22	114	212
JDK Parallel	0.22	1.3	6	12	66	122
Abcus Sequential	0.3	2	11	22	112	212
Abcus Parallel	11	11	11	16	77	128

Comparison:

• Again, do NOT and should NOT use parallel Streams if you don't have any performance problem with sequential Streams, because using parallel Streams has extra cost.
• Again, consider using parallel Streams only when N(the number of elements) * Q(cost per element of F, the per-element function (usually a lambda)) is big enough.
• The implementation of parallel Streams in Abacus is more than 10 times, slower than parallel Streams in JDK when Q is tiny(here is less than 0.0002 milliseconds by the test):
• The implementation of parallel Streams in JDK 8 still can beat the sequential/for loop when Q is tiny(Here is 0.00002 milliseconds by the test). That's amazing, considering the extra cost brought by parallel computation. It's well done.
• The implementation of parallel Streams in Abacus is pretty simple and straight forward. The extra cost(starting threads/synchronization/queue...) brought by parallel Streams in Abacus is too bigger to tiny Q(Here is less than 0.001 milliseconds by the test). But it starts to be faster than sequential Streams when Q is big enough(Here is 0.001 milliseconds by the test) and starts to catch the parallel Streams in JDK when Q is bigger(Here is 0.01 milliseconds by the test).
• Consider using the parallel Streams in Abacus when Q is big enough, specially when IO involved in F. Because one IO operation(e.g. DB/web service request..., Reading/Writing file...) usually takes 1 to 1000 milliseconds, or even longer. By the parallel Streams APIs in Abacus, it's very simple to specify max thread numbers. Sometimes, it's much faster to execute IO/Network requests with a bit more threads. It's fair to say that the parallel Streams in Abacus is high efficient, may same as or faster than the parallel Streams in JDK when Q is big enough, except F is heavy cpu-used operation. Most of the times, the Q is big enough to consider using parallel Stream is because IO/Network is involved in F.
• JDK 7 is supported by the Streams in Abacus. It's perfect to work with retrolambda on Android
• All primitive types are supported by Stream APIs in Abacus except boolean

A bit more about Lambdas/Stream APIs, you may heard that Lambdas/Stream APIs is 5 time slower than imperative programming. It's true when Q and F is VERY, VERY tiny, like f = (int a, int b) -> a + b;. But if we look into the samples in the article and think about it: it just takes less than 1 milliseconds to get the max value in 100k numbers. There is potential performance issue only if the "get the max value in 100K numbers" call many, many times in your API or single request. Otherwise, the difference between 0.1 milliseconds to 0.5 milliseconds can be totally ignored. Usually we meet performance issue only if Q and F is big enough. However, the performance of Lambdas/Streams APIs is closed to for loop when Q and F is big enough. No matter in which scenario, We don't need and should not concern the performance of Lambdas/Stream APIs.

Although it's is parallel Streams, it doesn't means all the methods are executed in parallel. Because the sequential way is as fast, or even faster than the parallel way for some methods, or is pretty difficult, if not possible, to implement the method by parallel approach. Here are the methods which are executed sequentially even in parallel Streams.

splitXXX/splitAt/splitBy/slidingXXX/collapse, distinct, reverse, rotate, shuffle, indexed, cached, top, kthLargest, count, toArray, toList, toList, toSet, toMultiset, toLongMultiset, intersection(Collection c), difference(Collection c), symmetricDifference(Collection c), forEach(identity, accumulator, predicate), findFirstOrLast, findFirstAndLast

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Parameters:

maxThreadNum - Default value is the number of cpu-cores. Steps/operations will be executed sequentially if maxThreadNum is 1.

splitor - The target array is split by ranges for multiple threads if splitor is splitor.ARRAY and target stream composed by array. It looks like:

 for (int i = 0; i < maxThreadNum; i++) {
     final int sliceIndex = i;

     futureList.add(asyncExecutor.execute(new Runnable() {
         public void run() {
             int cursor = fromIndex + sliceIndex * sliceSize;
             final int to = toIndex - cursor > sliceSize ? cursor + sliceSize : toIndex;
             while (cursor < to) {
                 action.accept(elements[cursor++]);
             }
        }
    }));
 }
 

Otherwise, each thread will get the elements from the target array/iterator in the stream one by one with the target array/iterator synchronized. It looks like:

 for (int i = 0; i < maxThreadNum; i++) {
     futureList.add(asyncExecutor.execute(new Runnable() {
         public void run() {
             T next = null;

             while (true) {
                 synchronized (elements) {
                     if (cursor.intValue() < toIndex) {
                         next = elements[cursor.getAndIncrement()];
                     } else {
                         break;
                     }
                 }

                 action.accept(next);
             }
         }
     }));
 }
 

Using splitor.ARRAY only when F (the per-element function (usually a lambda)) is very tiny and the cost of synchronization on the target array/iterator is too big to it. For the F involving IO or taking 'long' to complete, choose splitor.ITERATOR. Default value is splitor.ITERATOR.

Returns:

See Also:

Nth, com.landawn.abacus.util.Profiler#run(int, int, int, String, Runnable), Understanding Parallel Stream Performance in Java SE 8, When to use parallel Streams

parallel

public S parallel(int maxThreadNum,
                  BaseStream.Splitor splitor,
                  Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

parallel

public S parallel(int maxThreadNum,
                  Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

parallel

public S parallel(Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Parameters:

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

close

public void close()

Specified by:

close in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Specified by:

close in interface AutoCloseable