Hello there,
As you can see, one of the heavier duty actually happens within the
> element of the input array. Is there a way for me to parallelize that
> process as well since it happened inside a map?
Yes, you can use `mapAsync` and if you do not care about ordering you can
use `mapAsyncUnordered` to parallelize the computation a bit more.
Docs here:
http://doc.akka.io/api/akka-stream-and-http-experimental/1.0-M2/index.html#akka.stream.javadsl.Flow@mapAsyncUnordered[T](f:akka.stream.javadsl.japi.Function[Out,scala.concurrent.Future[T]]):akka.stream.javadsl.Flow[In,T]
Docs here:
http://doc.akka.io/api/akka-stream-and-http-experimental/1.0-M2/index.html#akka.stream.javadsl.Flow@mapAsync[T](f:akka.stream.javadsl.japi.Function[Out,scala.concurrent.Future[T]]):akka.stream.javadsl.Flow[In,T]
--
Konrad
Akka Team
Typesafe - The software stack for applications that scale
Blog: letitcrash.com
Twitter: @akkateam
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