~._build._parallel

trait _parallel

Parallel Interface

Source: _parallel.scala

class Object

trait Matchable

class Any

trait _build

object ~

Def

Parallel

Returns Stream.Flow with parallel execution

Each consecutive element will be sent to a new thread for processing

  (1 <> 5).~
     .parallel
     .map("Value: " + _ + "\t" + Thread.currentThread.getName)
     .foreach(println)

  // Possible Output
  Value: 1    ForkJoinPool.commonPool-worker-9
  Value: 3    ForkJoinPool.commonPool-worker-11
  Value: 2    main
  Value: 4    ForkJoinPool.commonPool-worker-2
  Value: 5    ForkJoinPool.commonPool-worker-4

Source: _parallel.scala

Conditionally parallel

Returns Stream.Flow with parallel or sequential implementation, depending on given parameter

   (1 <> 50).~.parallelIf(true).isParallel   // Returns true

   (1 <> 50).~.parallelIf(false).isParallel  // Returns false

Source: _parallel.scala

Conditionally parallel

Returns Stream.Flow with parallel or sequential implementation, depending on stream having element count equal or greater than given ''threshold''

  (1 <> 50).~.parallelIfOver(100).isParallel   // Returns false

  (1 <> 200).~.parallelIfOver(100).isParallel  // Returns true

Source: _parallel.scala

Parallel with Priority

This is very expensive operation, because it creates a custom thread pool. It only sutable for long running streams

   (1 <> 100).~.parallelWithPriority(MIN, 4).foreach(v => ())

   (1 <> 100).~.parallelWithPriority(MAX).foreach(v => ())

   (1 <> 100).~.parallelWithPriority(J.Priority(5), 4).foreach(v => ())

Note: parallelism determines how many parallel threads are allowed. Default value is CPU core count minus 1

Source: _parallel.scala