Hi everyone,

We are trying to achieve "at-least-once" delivery with cluster sharding and 
persistent actor.

Context: 

*ActorSystemA*:
- PersistentActorA

*ActorSystemB*:
- ActorB

PersistentActorA receives a message, persist it, then send it to ActorB. 
Once ActorB processed it, it sends back an ACK to PersistentActorA which 
then uses *confirmDelivery*. 

Works like a charm in a non-cluster situation. Just one JVM to another with 
akka-remote, PersistentActorA has a fixed persistenceId.

Now we want to scale this situation. Multiple *ActorSystemA* are running at 
the same time, part of the same cluster. Now we have to use sharding to 
make sure there is only one *PersistentActorA *instance in the cluster for 
the same entity id.

Problem appears when we start scaling because of the characteristic of our 
payload. It's a one-off payload. The ID inside, used to compute the entity 
ID for sharding, it's not an ID which will appear again in another message. 

That means, if for whatever reason this scenario happens:
1. message is persisted by the *PersistentActorA *for a particular entity 
ID (let's say the ID is 1)
2. message can't be sent (ActorSystemB is down)
3. The *PersistentActorA *for the entity ID 1 is going down (crashed 
application...)

Because there won't be any other payload with entity ID == 1, this 
*PersistentActorA* will never be created again. So, the messages won't be 
replayed form the journal, and the message will never get delivered.

Am I right? Or we are missing something?

Thanks for your help,

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