Packages

object Parallelizer

Provides tiny utilities for parallelization.

For example, each element of source is proceeded in parallel in the following example.

val source: Seq[Int] = Seq(1, 2, 3)
val result: Seq[Int] = Parallelizer.run(source){ i =>
  ...
}

Parallelism can be specified as a second parameter. The default value is a number of available processors.

val result: Seq[Int] = Parallelizer.run(source, 100){ i =>
  ...
}

You can use Iterator instead of Seq as a source. This version is useful to handle a very large data.

val source: Iterator[Int] = ...
val result: Iterator[Int] = Parallelizer.iterate(source){ i =>
  ...
}
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  12. def iterate[T, R](source: Iterator[T], parallelism: Int = ..., timeout: Duration)(f: (T) ⇒ R): Iterator[Try[R]]

    Process all elements of the source by the given function then don't wait completion.

    Process all elements of the source by the given function then don't wait completion. The result is an iterator which is likely a stream which elements are pushed continuously.

    source

    the source iterator

    parallelism

    Parallelism, the default value is a number of available processors

    f

    Function which process each element of the source collection

    returns

    Iterator of results

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  16. def run[T, R](source: Seq[T], parallelism: Int = ..., timeout: Duration = Duration.Inf)(f: (T) ⇒ R): Seq[Try[R]]

    Process all elements of the source by the given function then wait for completion.

    Process all elements of the source by the given function then wait for completion.

    source

    Source collection

    parallelism

    Parallelism, the default value is a number of available processors

    f

    Function which process each element of the source collection

    returns

    Collection of results

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