Hi Hannes,

consider using channels with an aggregating processor as destination (or, 
more generally, an actor that updates a database). If the source processors 
are eventsourced processors make sure to setup reliable event 
delivery<http://doc.akka.io/docs/akka/2.3.1/scala/persistence.html#reliable-event-delivery>.
 
See also this 
discussion<https://groups.google.com/forum/#!topic/akka-user/ChVFU9-cKRk/discussion>
.

Cheers,
Martin

Am Mittwoch, 26. März 2014 23:15:07 UTC+1 schrieb Hannes Stockner:
>
> Hi,
>
> I am using cluster sharding to distribute aggregate root instances and I 
> am struggling to figure out how best to derive new event streams. Below is 
> an example of the concept I have in mind specified in a given-when-then 
> format.
>
> Given Multiple Entries distributed over different nodes
> When Event A or Event B
>
> Then Add Event A or Event B to the new stream 
>
> I have looked at views, but a view operates on single streams (e.g. the 
> stream provided by a single entry) rather than per entry type.  Relating to 
> the example, a view allows events to be consumed for a subset of aggregate 
> root instances, rather than all of the events for an aggregate root type. 
>  It’s implied that the solution needs to be reliable and can recover missed 
> events.
>
>
> Thank you in advance for your help
>
>

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