On 01/28/2014 10:48 AM, Lucas Holmquist wrote:When I hear realtime I think sub 100 ms updates to all clients. (think
> On Jan 28, 2014, at 10:30 AM, Summers Pittman <supittma@redhat.com> wrote:
>
>> On 01/28/2014 09:36 AM, Lucas Holmquist wrote:
>>> yup, this is another Data Sync thread,
>>>
>>>> From a client side perspective, i have concerns that there is still not a clear direction yet.
>>> I know there are multiple ideas floating around on what our model should be, i'm all for choice, but what about deciding on 1 model to get started with. Then later once we have this nailed down, we can have other "adapters" with different models perhaps
>> All the data model is is an envelope of sync metadata around an object
>> right?
> right
>
>> We also need to think about the API and server/client protocol as well.
>>
>> I think that for sync 1.0 we could focus on the following behavior (it
>> worked for my demos at least)
>>
>> 1. We have a Sync factory similar to Pipeline, Authenticator,
>> Registrar, and KeyService.
>> 2. The Sync factory consumes/manages Synchronizer instances.
>> 3. AG Synchronizer listens for sync messages using UnifiedPush endpoints.
> i thought for a 1.0 we weren't thinking about "realtime"
gaming)
What I thought we were going for was something closer to email. The
data gets changed and at some point in the future the client knows. More
specifically, the thing the ONE thing that makes sync special is it is a
push instead of poll implementation.
>
>> 4. AG Synchronizer sends sync messages using Pipes
>> 5. AG Synchronizer holds local data in a store
>>
>> 6. When AGSynchronizer gets a message it is responsible for updating
>> the Store and then notifying code listing for updates OR for notifying
>> the code that an error has occurred and needs to be addressed.
>>
>> 7. When the developer updates data in the store, the synchronizer
>> should package that data and send it to the server. The synchronizer is
>> responsible for error handling, retrying, back-off, etc.
>>
>> 8. We should include multiple synchronizer implementations to deal with
>> multiple very simple use cases which involve legacy systems. (For
>> instance polling to load static data on a schedule.)
>>
>> Thoughts? Tomatoes?
>>>
>>>
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