On Thu, Jan 22, 2015 at 9:01 PM, Yann Simon <yann.simon...@gmail.com> wrote:

> Hi Patrick,
>
> Le dimanche 20 avril 2014 16:59:22 UTC+2, Patrik Nordwall a écrit :
>>
>>
>>
>>
>> On Sun, Apr 20, 2014 at 2:47 PM, Olger Warnier <ol...@spectare.nl> wrote:
>>
>>> Hi Patrick,
>>>
>>> Sounds like an interesting approach, storing some meta-data at the view
>>> may help to check / show the reliability of the system.
>>>
>>> At this moment the events are sent to a processor per node that
>>> publishes the event (distributed pub sub)
>>>
>>
>> That sounds good, as well.
>>
>>
>>> When you talk about view, that's the akka-persistence view ?
>>>
>>
>> Yes, persistence.View and persistence.Processor
>>
>>
>>> So more or less, the sub processors could send messages to the View and
>>> when there is a Persist() around it, it will be stored.
>>>
>>
>> I'm not sure I understand what you mean here. Let me clarify my proposal
>> with an example. Let's say we have a User aggregate root with some profile
>> information that can be updated. The user is represented by a User
>> EventsourcedProcessor actor, which is sharded. On the query side we want to
>> be able to search users by first and last name, i.e. we want to store all
>> users in a relational database table on the query side.
>>
>> The User actor persist FirstNameChanged, and inside the persist block it
>> sends a Persistent(FirstNameChanged) message to the AllUsers Processor. On
>> the query side we have a AllUsersView connected to that processor. When
>> AllUsersView receives FirstNameChanged it updates the db table.
>>
>> To handle lost messages between User and AllUsers you might want to send
>> an acknowledgement from AllUsers to User, and have a retry mechanism in
>> User. I would implement that myself in User, but PersistentChannel might be
>> an alternative.
>>
>
> Let's say the current version in production only have User actors.
> Now we want to deliver an new version that include the new Query with the
> AllUsers Processor.
> How can we be sure that AllUsers receive all the events to be able to
> construct its state?
>

I'm afraid there is no API to retrieve all ids, see feature request
https://github.com/akka/akka/issues/13892

For the moment I guess you have to try to retrieve them from the journal
data store.

Regards,
Patrik


>
> Thanks in advance,
> Yann
>
>>
>>
>>
>>
>>>
>>> Is that a correct understanding ?
>>>
>>> Kind regards,
>>>
>>> Olger
>>>
>>>
>>> On Sunday, April 20, 2014 2:32:07 PM UTC+2, Patrik Nordwall wrote:
>>>
>>>> Hi Olger,
>>>>
>>>> What if you keep the sharded event sourced actors (+10k), but let them
>>>> also send the events to one or a few processors. Then you can connect the
>>>> views/streams to these processors.
>>>>
>>>> If you don't like storing the events twice you can instead store some
>>>> meta-data (processor-id, seq-no,timestamp) and have a view that creates
>>>> sub-views on demand from the replayed meta-data. The sub-views would
>>>> forward to the parent aggregated view.
>>>>
>>>> /Patrik
>>>>
>>>> 19 apr 2014 kl. 20:46 skrev Olger Warnier <ol...@spectare.nl>:
>>>>
>>>>
>>>> Hi Martin,
>>>>
>>>> Had to think about it a little, hereby my follow up. (hope you don't
>>>> mind the continues discussion, it helps me a lot in defining the right
>>>> approach, thanks for that)
>>>>
>>>> On Saturday, April 19, 2014 7:11:23 AM UTC+2, Martin Krasser wrote:
>>>>>
>>>>>  Hi Olger,
>>>>>
>>>>> installing 10k views/producers won't scale, at least not with the
>>>>> current implementation. Here are some alternatives:
>>>>>
>>>> Intresting, what would need to change to have is scaling ?
>>>> (Idea is to have the eventsourcedprocessors reflect a DDD style
>>>> Aggregate Root instance and have those distributed using cluster sharding)
>>>>
>>>>
>>>>>
>>>>> - Maybe a custom journal plugin is what you need: a plugin that
>>>>> delegates all write/read requests to the actual journal actor and that
>>>>> additionally updates a database with the events to be written. This
>>>>> essentially installs a single "listener" per ActorSystem (this is to some
>>>>> extend comparable to a database trigger that executes additonal commands.
>>>>> If the backend datastore supports that directly, I recommend implementing
>>>>> the trigger there, if possible).
>>>>>
>>>>
>>>> I am not sure, if I understand it.. the basic idea is to have the
>>>> 'events' stored via the eventsourcedprocessor being published to 'n' views.
>>>> The actual number of view that need to listen to these events are not known
>>>> up front (people can add their own views... at system startup, it will be
>>>> clear)
>>>> As every eventsourced actor is actually an AggregateRoot (in DDD terms)
>>>> and thereby something of an instance with it's own state, the changes in
>>>> these states need to be aggregated (that can be done with the streaming as
>>>> you mention) and published to the views that are interested (subscribed).
>>>> Doing this by hand in the aggregate root actor is not a problem,
>>>> thereafter write your own listener actor and that will populate a view data
>>>> store. Still I have the feeling that the actual 'View' (or ViewProducer)
>>>> could be implemented in such a way that it's done by the view.
>>>>
>>>>
>>>>>
>>>>> - Instead of having thousands of processors, what speaks against
>>>>> combining them into a single processor (or only a few) per node?
>>>>>
>>>> This would mean that I'll have all my aggregate root instances running
>>>> in 1 processor meaning that I need to reconstruct state per aggregate root
>>>> instance in some way. Using EventsourcedProcessor, I'd expect that I need
>>>> to replay everything for all instances and pick the one that I need for
>>>> processing at that moment. (this can of course be optimized with snapshots
>>>> and something like memcached). This appears to be a performance hit as I
>>>> feel it.
>>>>
>>>>
>>>>>
>>>>> Further comments inline ...
>>>>>
>>>>> On 18.04.14 16:10, Olger Warnier wrote:
>>>>>
>>>>> Hi Martin,
>>>>>
>>>>>
>>>>>  I'm currently working on view composition using the brand new
>>>>>> akka-stream module. Basic idea is to make views stream producers and to 
>>>>>> use
>>>>>> the akka-stream DSL to merge message/event streams from several producers
>>>>>> into whatever you need. See also https://twitter.com/mrt1nz/sta
>>>>>> tus/457120534111981569 for a first running example.
>>>>>>
>>>>>> WDYT?
>>>>>>
>>>>>
>>>>>  First of all Nice stuff !, I think this is useful for the system at
>>>>> my hands (real-time patient monitoring based on medical data)
>>>>> I've seen the streams announcements but did not dive into that yet.
>>>>> Looking at your code StreamExample.scala it more or less 'clicks' in
>>>>> concept. (and hopefully in the right way)
>>>>>
>>>>>  From a 'View' perspective as currently is available in
>>>>> akka-persistence, every producing actor needs a view attached to it in
>>>>> order to push the events to the streams producer, right ? (when I look at
>>>>> the ViewProducer.scala code, this is what is done.)
>>>>>
>>>>>  PersistentFlow.fromProcessor("p1").toProducer(materializer)
>>>>>  Now, I have a sharding cluster with an EventsourcedProcessor  (expect
>>>>> 10.000ths of these EventsourcedProcessor actor instances) , so I'll need 
>>>>> to
>>>>> create a line like this for every EventsourcedProcessor in order to get 
>>>>> the
>>>>> stream of events together. Thereafter, I need to merge them together to 
>>>>> get
>>>>> a single stream of events. (at least that is one of the features of using
>>>>> the streams)
>>>>>
>>>>>
>>>>> Every processor instance itself could create such a producer during
>>>>> start and send it to another actor that merges received producers.
>>>>>
>>>> That would not allow me to implement 'View' (as is known in the
>>>> persistence package) in order to listen to events within my cluster of
>>>> aggregate root instances, I'll need to build something additional for that
>>>> (as View is more used for the collection of those events and thereafter
>>>> will push them through)
>>>>
>>>> At this moment, I use an akka extension (gives more or less a
>>>> singleton) that is used directly in the EventSourcedProcessor after storage
>>>> (persist) of the event.
>>>> Thereafter I have listeners that get these events and transform them
>>>> into data that needs storage for a certain type of view (CQRS style)  (this
>>>> is where I expected the 'View' to be used)
>>>>
>>>>>
>>>>>
>>>>>  My goal is to have 'Listeners' (that is my interpretation of a
>>>>> 'View' due to historic reasons...) that will for instance update a data
>>>>> store, this will probably happen on on just a few nodes (maybe 1 and some
>>>>> failover stuff). These 'Listeners' need to attach to the sharded
>>>>> Eventsourced system and ask to get all event sourced events forwarded.
>>>>> (publish subscribe more or less).
>>>>>
>>>>>  I wonder if the current View (or ViewProducer) fits this situation
>>>>> due to the fact you need to create as many views as eventsourcedprocessors
>>>>> are created.
>>>>> With the merged streams thereafter, it seems a possibility to have
>>>>> just one thing per node (I assume actor) that will do the writing to a 
>>>>> data
>>>>> store (not being the eventstore).
>>>>> What would be the way to get these Views 'automagically' attached to
>>>>> the proper procesors ?
>>>>>
>>>>>
>>>>> See above.
>>>>>
>>>>>
>>>>>  And, do you have a pointer how this issue is solved with it's own
>>>>> eventstore ? In a sharding cluster, you more or less have the same issue.
>>>>> (would streams change your approach there ?)
>>>>>
>>>>>
>>>>> There's one journal actor per ActorSystem where n journal actors in a
>>>>> cluster update a replicated journal
>>>>> <http://akka.io/community/#plugins_to_akka_persistence>.
>>>>>
>>>> Thanks, thats not done as an akka extension right ? (why not ?)
>>>>
>>>>>
>>>>> Hope that helps.
>>>>>
>>>> Certainly, really appreciate your patience.
>>>>
>>>>>
>>>>> Cheers,
>>>>> Martin
>>>>>
>>>>
>>>> Kind regards,
>>>>
>>>> Olger
>>>>
>>>>
>>>> --
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>>
>>
>>
>> --
>>
>> Patrik Nordwall
>> Typesafe <http://typesafe.com/> -  Reactive apps on the JVM
>> Twitter: @patriknw
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-- 

Patrik Nordwall
Typesafe <http://typesafe.com/> -  Reactive apps on the JVM
Twitter: @patriknw

-- 
>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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