This object provides extension methods to create Java Streams that operate on Scala collections (sequentially or in parallel). For more information on Java streams, consult the documentation (

When writing Java code, use the explicit conversion methods defined in javaapi.StreamConverters instead.

The methods asJavaSeqStream and asJavaParStream convert a collection to a Java Stream:

scala> import scala.jdk.StreamConverters._ scala> val s = (1 to 10).toList.asJavaSeqStream s: =$Head@7b1e5e55 scala> * 2).filter(_ > 5).toScala(List) res1: List[Int] = List(6, 8, 10, 12, 14, 16, 18, 20)

Note: using parallel streams in the Scala REPL causes deadlocks, see As a workaround, use scala -Yrepl-class-based.

scala> def isPrime(n: Int): Boolean = !(2 +: (3 to Math.sqrt(n).toInt by 2) exists (n % _ == 0)) isPrime: (n: Int)Boolean scala> (10000 to 1000000).asJavaParStream.filter(isPrime).toScala(Vector) res6: scala.collection.immutable.Vector[Int] = Vector(10007, 10009, 10037, 10039, ...

A Java Stream provides operations on a sequence of elements. Streams are created from Spliterators, which are similar to Iterators with the additional capability to partition off some of their elements. This partitioning, if supported by the Spliterator, is used for parallelizing Stream operations.

Scala collections have a method stepper that returns a scala.collection.Stepper for the collection, which in turn can be converted to a Spliterator for creating a Java Stream.

The asJavaSeqStream extension method is available on any Scala collection. The asJavaParStream extension method can only be invoked on collections where the return type of the stepper method is marked with the scala.collection.Stepper.EfficientSplit marker trait. This trait is added to steppers that support partitioning, and therefore efficient parallel processing.

The following extension methods are available:

| Collection Type | Extension Methods | | --- | --- | | IterableOnce | asJavaSeqStream | | IndexedSeq, Arrays, BitSet, Accumulator, HashMap, HashSet, Range, TreeMap, TreeSet, Vector, Strings | asJavaParStream | | Map | asJavaSeqKeyStream, asJavaSeqValueStream | | HashMap, TreeMap | asJavaParKeyStream, asJavaParValueStream | | Stepper | asJavaSeqStream | | Stepper with EfficientSplit | asJavaParStream | | Strings | asJavaSeqStream, asJavaParStream, asJavaSeqCharStream, asJavaParCharStream, asJavaSeqCodePointStream, asJavaParCodePointStream | | Java streams | toScala, asJavaPrimitiveStream |

The asJavaPrimitiveStream method converts a Stream[Int] to an IntStream. It is the dual of the boxed method defined on primitive streams (e.g., IntStream.boxed is a Stream[Integer]).

The toScala extension methods on Java streams collects the result of a stream pipeline into a Scala collection, for example stream.toScala(List), stream.toScala(Vector). Note that transformation operations on streams are lazy (also called "intermediate"), terminal operations such as forEach, count or toScala trigger the evaluation.

Collecting a parallel stream to a collection can be performed in parallel. This is beneficial if the target collection supports efficient merging of the segments that are built in parallel. To support this use case, the Scala standard library provides the Accumulator collection. This collection supports efficient parallel construction, and it has specialized subtypes for Int, Long and Double so that primitive Java streams can be collected to a Scala collection without boxing the elements.

class Object
trait Matchable
class Any

Type members

Inherited classlikes

class AnyArrayHasSeqParStream[A <: AnyRef](a: Array[A])
class MapHasParKeyValueStream[K, V, CC <: ([X, Y] =>> MapOps[X, Y, [K, V] =>> Map[K, V], _])](cc: CC[K, V])
class MapHasSeqKeyValueStream[K, V, CC <: ([X, Y] =>> MapOps[X, Y, [K, V] =>> Map[K, V], _])](cc: CC[K, V])
class StepperHasSeqStream[A](stepper: Stepper[A])
class StreamHasToScala[A](stream: Stream[A])