+1 for PersistentActor

Heiko


On Tue, May 20, 2014 at 10:50 PM, Roland Kuhn <goo...@rkuhn.info> wrote:

> Hi Odd,
>
> that is a very good question: I was operating under the premise that
> EventsourcedProcessor is used quite a bit by now and renaming it might not
> be met with unlimited enthusiasm. The replacement for PersistentChannel
> will need to be named differently since the “persistent” in the name is
> confusing, but the details will have to wait until we have settled on its
> precise nature.
>
> Perhaps we can do a “quick deprecation” for EventsourcedProcessor in
> 2.4-M1 (since it is marked “experimental” for this very reason), aliasing
> it until removal. I quite like PersistentActor, Processor is too generic.
>
> Opinions?
>
> Regards,
>
> Roland
>
> 20 maj 2014 kl. 22:39 skrev Odd Möller <odd.mol...@gmail.com>:
>
> Hi!
>
> Just wanted to say that I love the idea of simplifying the abstractions as
> suggested in this thread (all our processors are already of the event
> sourced kind). One thing that occurred to me is if a similar simplification
> can be done on the naming of the concepts: now that the names "Processor"
> and "Channel" are unused, should the remaining concept still be called
> "EventsourcedProcessor"? What about calling it "Processor",
> "PersistentActor" or "EventsourcedActor" instead? Ditto regarding the
> reborn "PersistentChannel".
>
> Greetings
> Odd
>
>
> On Tue, May 20, 2014 at 8:47 PM, 何品 <hepin1...@gmail.com> wrote:
>
>> I am using the persistent channel as a durable queue,and for it was not
>> recommend ,I switch to redis .
>>
>> 在 2014年5月21日星期三UTC+8上午2时32分38秒,rkuhn写道:
>>>
>>> Hi Alex,
>>>
>>> I have filed the ticket for Processor’s removal (
>>> https://github.com/akka/akka/issues/15230), which also talks about
>>> Channel since that was only needed to contain the side-effecting replay
>>> nature of command sourced processors. Your description below is rather
>>> terse, so it is not fully clear to me how you are using Channel in this
>>> case and what a replacement should be, can you elaborate?
>>>
>>> There is also the discussion ticket for reinventing PersistentChannel (
>>> https://github.com/akka/akka/issues/15231) which might be of interest
>>> in this context. My motivation here is to not remove needed functionality
>>> without improved replacement.
>>>
>>> Regards,
>>>
>>> Roland
>>>
>>> 9 maj 2014 kl. 12:15 skrev ahjohannessen <ahjoha...@gmail.com>:
>>>
>>> Hi Roland,
>>>
>>> We use Channel in conjunction with Eventsourced Processor (EP) in our
>>> applications in receiveRecover.
>>> It would be sad to see it go away without a reasonable alternative.
>>>
>>> One scenario in our apps is that we use DDD/ES and have a lot of EPs of
>>> same type, e.g. 10000 instances,
>>> that are loaded on demand by a supervisor.
>>>
>>> In order to have a single view on all of these, we inject an actor that
>>> wraps a single channel / aggregator EP combo
>>> into these instances on creation. This makes it possible to react to
>>> changes, even in case of JVM crashes,
>>> in that family of EPs as well as having a global view of that family.
>>>
>>>
>>> On Friday, May 9, 2014 9:13:17 AM UTC+1, rkuhn wrote:
>>>>
>>>>
>>>> 9 maj 2014 kl. 09:58 skrev Martin Krasser <kras...@googlemail.com>:
>>>>
>>>>
>>>> On 09.05.14 09:25, Roland Kuhn wrote:
>>>>
>>>>
>>>>  9 maj 2014 kl. 09:08 skrev Martin Krasser <kras...@googlemail.com>:
>>>>
>>>>
>>>> On 09.05.14 08:41, Roland Kuhn wrote:
>>>>
>>>> Hi Martin,
>>>>
>>>>  9 maj 2014 kl. 08:05 skrev Martin Krasser <kras...@googlemail.com>:
>>>>
>>>>  Hi Roland,
>>>>
>>>> thanks for starting a discussion on this. Here are some initial
>>>> thoughts on your proposal:
>>>>
>>>> "... very same throughput optimization by applying the state changes
>>>> before persisting them ..."
>>>>
>>>> I think we agree that whatever changes are going to be made in the
>>>> future, we must keep the throughput optimizations (by batching
>>>> writes/updates). As you said, with an EP, this can only be achieved by
>>>> applying events to current state *before* persisting them. Furthermore, to
>>>> enable batching, an EP must therefore be able to process new commands while
>>>> (previous) events are about to be persisted. This however has a very
>>>> important consequence for commands that read current state. If we allow
>>>> events to be applied to current state *before* persisting them, we allow
>>>> clients to read state from that EP that may not be re-readable after a
>>>> crash. For example:
>>>>
>>>> - EP receives update command, derives event and applies it immediately
>>>> to current state
>>>> - EP (asynchronously) persists event
>>>> - EP receives a read command (while event persistence is in progress)
>>>> - EP (successfully) returns read response to requestor
>>>> - EP JVM crashes before event was successfully persisted
>>>> - EP state cannot be reconstructed i.e. previous read cannot be
>>>> repeated.
>>>>
>>>>
>>>>  This is only true if the recovery is incomplete: the update command
>>>> will not have been acknowledged at this point, so if someone cared about it
>>>> they will send it again during recovery and the EP will eventually end up
>>>> in a state where the read will return the same value again. If this type of
>>>> consistency is not good enough, then you can always defer reads within the
>>>> write model until after persistence is completed, meaning that the read is
>>>> only performed once a corresponding read “event” has gone through the
>>>> journal. We could allow events that are only looped through to make this
>>>> work, just like non-Persistent commands are looped today (and for the same
>>>> reason).
>>>>
>>>>
>>>> Delaying reads is only an option when reads are made via messages to a
>>>> (E)P. If my processor manages state via an STM ref where only the processor
>>>> updates the STM ref but reads go directly to the STM ref, then you cannot
>>>> delay reads.
>>>>
>>>>
>>>>  In this scenario you would delay updating the STM ref until after the
>>>> persistence loop, which is exactly the same as for a current
>>>> command-sourced Processor: the read gets delayed until after the writes are
>>>> processed, in the same way the STM ref update gets delayed by the write
>>>> having to go through the journal. Effects, consistency and latency are the
>>>> same in both implementations.
>>>>
>>>>
>>>> That's true. So, to achieve
>>>>
>>>> - repeatable reads
>>>> - low read latency and
>>>> - high write throughput
>>>>
>>>> reads can go to the STM refs directly and EP must update the STM ref
>>>> only after having persisted the events. If one *additionally* wants to
>>>> achieve
>>>>
>>>> - read-your-own-write consistency (assuming a client issues an update
>>>> command, immediately followed by a read command)
>>>>
>>>> one would need a way to loop read commands through the journal as well
>>>> before serving them (which probably requires an addition to the API then).
>>>> Alternatively, a client only issues a read after having received a
>>>> write-ack (at the cost of an additional roundtrip).
>>>>
>>>>
>>>> This is an interesting remark: normally read-your-writes is only
>>>> guaranteed for reads submitted after having received the ACK for the write,
>>>> so what we are providing here is actually a qualitative improvement on that
>>>> status quo that is only possible in Reactive systems (normally the ACK is
>>>> signaled by a synchronous non-exceptional method return).
>>>>
>>>> Anyway, I think you convinced me, as usual :) Great proposal, Dr Kuhn!
>>>>
>>>>
>>>> And as usual you helped in refining the proposal: the addition of
>>>> looping non-persistent events through the journal is an important one,
>>>> thanks for providing the use-case!
>>>>
>>>> So, to summarize, we can incorporate all current functionality provided
>>>> by Processor and Channel into EventsourcedProcessor by adding the following
>>>> two features:
>>>>
>>>>
>>>>    - the ability to opt out of stashing everything while waiting for
>>>>    persist()ing
>>>>    - the ability to loop non-persistent events through the journal
>>>>
>>>>
>>>> Everyone, please consider what this would mean for your code base and
>>>> comment, now is the right time to speak up! The same goes for opinions on
>>>> whether PersistentChannel pulls its weight or not (as argued earlier in
>>>> this thread).
>>>>
>>>> Regards,
>>>>
>>>> Roland
>>>>
>>>>
>>>> Cheers,
>>>> Martin
>>>>
>>>> --
>>>> >>>>>>>>>> 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/
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>>>>
>>>>
>>>>
>>>> *Dr. Roland Kuhn*
>>>> *Akka Tech Lead*
>>>> Typesafe <http://typesafe.com/> – Reactive apps on the JVM.
>>>> twitter: @rolandkuhn
>>>>  <http://twitter.com/#!/rolandkuhn>
>>>>
>>>>
>>> --
>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
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>>> current/additional/faq.html
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>>>
>>>
>>>
>>> *Dr. Roland Kuhn*
>>> *Akka Tech Lead*
>>> Typesafe <http://typesafe.com/> – Reactive apps on the JVM.
>>> twitter: @rolandkuhn
>>>  <http://twitter.com/#!/rolandkuhn>
>>>
>>>
>> --
>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>> >>>>>>>>>> Check the FAQ:
>> http://doc.akka.io/docs/akka/current/additional/faq.html
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>
>
> --
> >>>>>>>>>> Read the docs: http://akka.io/docs/
> >>>>>>>>>> Check the FAQ:
> http://doc.akka.io/docs/akka/current/additional/faq.html
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>
>
>
> *Dr. Roland Kuhn*
> *Akka Tech Lead*
> Typesafe <http://typesafe.com/> – Reactive apps on the JVM.
> twitter: @rolandkuhn
> <http://twitter.com/#!/rolandkuhn>
>
>  --
> >>>>>>>>>> Read the docs: http://akka.io/docs/
> >>>>>>>>>> Check the FAQ:
> http://doc.akka.io/docs/akka/current/additional/faq.html
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>



-- 

Heiko Seeberger
Twitter: @hseeberger
Blog: blog.heikoseeberger.name

-- 
>>>>>>>>>>      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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