On Tuesday, 19 August 2014 19:33:55 UTC+8, Martin Krasser wrote:
>
> If so, it sounds like a great solution but why would that require an 
> extension to the Akka Persistence design/API?
>  
>
> Because transformed/joined/... event streams in backend store on the read 
> side must be consumable by PersistentViews (for creating read models). I 
> still see this backend store to maintain changes (= transformed/joined/... 
> events) instead of current state. 
>

I am sorry I still don't see this.

This suggests to me that spark is talking directly to the read model 
datastore (e.g. graph database, MongoDB, SQL database).

So are you suggesting: 

1. journal -> spark -> Akka actors (like PersistentView) -> read model data 
store 

or

2. journal -> spark -> read model data store (like graph database, MongoDb, 
SQL database) -> Akka actors <- Queries

I see PersistentView(for generalised topics) as the glue between the Akka 
journal (write store) and read stores (1.).

Thanks for your patience.

Cheers,
Ashley.

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