Parallelizable

trait Parallelizable[+A, +ParRepr <: Parallel]

This trait describes collections which can be turned into parallel collections by invoking the method par. Parallelizable collections may be parameterized with a target type different than their own.

This trait describes collections which can be turned into parallel collections by invoking the method par. Parallelizable collections may be parameterized with a target type different than their own.

Type Params
A

the type of the elements in the collection

ParRepr

the actual type of the collection, which has to be parallel

class Any
trait CustomParallelizable[A, ParRepr]
trait ParIterableLike[T, CC, Repr, Sequential]
trait ParIterable[T]
trait ParMap[K, V]
class WithDefault[A, B]
class WithDefault[K, V]
class WithDefault[K, V]
trait ParMap[K, V]
class ParHashMap[K, V]
trait ParMap[K, V]
class ParHashMap[K, V]
class ParTrieMap[K, V]
trait ParSeq[T]
trait ParSeq[T]
class ParRange
class ParVector[T]
trait ParSeq[T]
class ParArray[T]
trait ParSet[T]
trait ParSet[T]
class ParHashSet[T]
trait ParSet[T]
class ParHashSet[T]
trait ParIterable[T]
trait ParIterable[T]
trait ParMapLike[K, V, CC, Repr, Sequential]
trait ParMapLike[K, V, CC, Repr, Sequential]
trait ParMapLike[K, V, CC, Repr, Sequential]
trait ParSeqLike[T, CC, Repr, Sequential]
trait ParSetLike[T, CC, Repr, Sequential]
trait ParSetLike[T, CC, Repr, Sequential]

Value members

Abstract methods

def seq: IterableOnce[A]

Concrete methods

def par: ParRepr

Returns a parallel implementation of this collection.

Returns a parallel implementation of this collection.

For most collection types, this method creates a new parallel collection by copying all the elements. For these collection, par takes linear time. Mutable collections in this category do not produce a mutable parallel collection that has the same underlying dataset, so changes in one collection will not be reflected in the other one.

Specific collections (e.g. ParArray or mutable.ParHashMap) override this default behaviour by creating a parallel collection which shares the same underlying dataset. For these collections, par takes constant or sublinear time.

All parallel collections return a reference to themselves.

Returns

a parallel implementation of this collection