Hi John,
You could hide step 2-4 behind a method returning a future, that way you
can run the blocking operations on a separate threadpool.
Pseudocode:
def doWorkWithResource(item: WorkItem): Future[ComputationResult] = {
Future {
// acquire resource
// do work
// return resource to pool
}(aSpecialExecutionContextForBlocking)
Source(largeButFiniteQueue).mapAsync(parallellism)(doWorkWithResource).to(Sink(someKindOfOutput))
The parallellism mapAsync parameter should then probably be the same as the
number of threads in the blocking threadpool as no more functions can run
in parallell anyway.
--
Johan Andrén
Akka Team, Lightbend Inc.
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