reactor-core/src/main/java/reactor/core/publisher/ParallelFlux.java
public final ParallelFlux<T> runOn(Scheduler scheduler, int prefetch) {
		Objects.requireNonNull(scheduler, "scheduler");
		return onAssembly(new ParallelRunOn<>(this,
				scheduler,
				prefetch,
				Queues.get(prefetch)));
	}
public final ParallelFlux<T> runOn(Scheduler scheduler, int prefetch) {
		Objects.requireNonNull(scheduler, "scheduler");
		return onAssembly(new ParallelRunOn<>(this,
				scheduler,
				prefetch,
				Queues.get(prefetch)));
	}
public final ParallelFlux < T > runOn ( Scheduler scheduler , int prefetch ) { Objects . requireNonNull ( scheduler , "scheduler" ) ; return onAssembly ( new ParallelRunOn <> ( this , scheduler , prefetch , Queues . get ( prefetch ) ) ) ; }
Specifies where each 'rail' will observe its incoming values with possibly
work-stealing and a given prefetch amount.
<p>
This operator uses the default prefetch size returned by {@code
Queues.SMALL_BUFFER_SIZE}.
<p>
The operator will call {@code Scheduler.createWorker()} as many times as this
ParallelFlux's parallelism level is.
<p>
No assumptions are made about the Scheduler's parallelism level, if the Scheduler's
parallelism level is lower than the ParallelFlux's, some rails may end up on
the same thread/worker.
<p>
This operator doesn't require the Scheduler to be trampolining as it does its own
built-in trampolining logic.

@param scheduler the scheduler to use that rail's worker has run out of work.
@param prefetch the number of values to request on each 'rail' from the source

@return the new {@link ParallelFlux} instance
Specifies where each rail will observe its incoming values with possibly work - stealing and a given prefetch amount . <p > This operator uses the default prefetch size returned by { @code Queues . SMALL_BUFFER_SIZE } . <p > The operator will call { @code Scheduler . createWorker () } as many times as this ParallelFlux s parallelism level is . <p > No assumptions are made about the Scheduler s parallelism level if the Scheduler s parallelism level is lower than the ParallelFlux s some rails may end up on the same thread / worker . <p > This operator doesn t require the Scheduler to be trampolining as it does its own built - in trampolining logic .