Note that Akka is being removed from Spark. Even if it weren't, I would consider keeping Akka processes separate from Spark processes, so you can monitor, debug, and scale them independently. So consider streaming data from Akka to Spark Streaming or go the other way, from Spark to Akka Streams.
dean Dean Wampler, Ph.D. Author: Programming Scala, 2nd Edition <http://shop.oreilly.com/product/0636920033073.do> (O'Reilly) Typesafe <http://typesafe.com> @deanwampler <http://twitter.com/deanwampler> http://polyglotprogramming.com On Sat, Dec 26, 2015 at 12:54 PM, Ted Yu <yuzhih...@gmail.com> wrote: > Do you mind sharing your use case ? > > It may be possible to use a different approach than Akka. > > Cheers > > On Sat, Dec 26, 2015 at 10:08 AM, Disha Shrivastava <dishu....@gmail.com> > wrote: > >> Hi, >> >> I wanted to know how to use Akka framework with Spark starting from >> basics. I saw online that Spark uses Akka framework but I am not really >> sure if I can define Actors and use it in Spark. >> >> Also, how to integrate Akka with Spark as in how will I know how many >> Akka actors are running on each of my worker machines? Can I control that? >> >> Please help. The only useful resource which I could find online was Akka >> with Spark Streaming which was also not very clear. >> >> Thanks, >> >> Disha >> > >
