Akka Pool Router

[mladen....@gmail.com]

To explain my issue in a clear way I provided a sample code:

if I have an actor which looks like this:

class MasterActor extends Actor with ActorLogging with WorkerRouter with AkkaProvider {
   
  private val router = createWorkerRouter()


  def receive = {
     case PurchaseOrderMsg(content,timestamp) =>
       router ! Response(timestamp)


trait WorkerRouter {this: Actor =>
 def createWorkerRouter(): ActorRef = {
    val resizer = DefaultResizer(lowerBound = 2, upperBound = 15)
    context.actorOf(
        ClusterRouterPool(RoundRobinPool(7,Some(resizer)),
                           ClusterRouterPoolSettings(
                                  totalInstances = Int.MaxValue,
                                  maxInstancesPerNode = 10,
                                  allowLocalRoutees = false,
                                  useRole = Some("worker"))
                           ).props(Worker.props(???),
                           name = "purchase-order-router")
     }
}

How do I pass dynamically props to createWorkerRouter from my MasterActor?

I use the props from the Worker as persistence_id since it's a FSM therefore it has to be unique.

[Patrik Nordwall]

What persistenceIds would you like to use in the end?

Based on a counter? PO-1, PO-2, ... increasing for each routee?
Would be strange in a long running system when worker nodes are added and removed over time.

Why not use Cluster Sharding instead? Wouldn't it be more natural to have a separate entity actor for each purchase order instead of using round-robin.

/Patrik

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[mladen....@gmail.com]

It is hard to explain, but in short my master actor receives a message which is then forwarded to the respective worker, and from that message I extract business information to make my worker's (FSM) persistenceId unique.

After I second thought, maybe I misunderstood the router concept - I just realized that this code load balances the work between the actors, but you are right, I need to find a way how to distribute it equally among the nodes which I suppose is done by the cluster sharding.