I think we still need the synchronisation mode in pull mode.
How are we going to deal with this use case with simple push:
UserA is offline update some data, then switch off his phone
Some other users update data
UserA open his app, he has missed some push notifications but still
want to sync his app.
That is the magic of Push systems. He gets the messages when
he comes
online.
Device A and B and Server have data with a checksum of 42.
Device A goes offline.
Device A changes its data and has a checksum of 64.
Device B changes its data and has a checksum of 192.
Device B sends the expected server checksum of 42 and its new data to
the server.
Server accepts B's Data, updates its checksum to 192, and sends a
message to all Devices ( in this case just A)
Device B and Server go on a long date, but things don't work out and
they end up splitting the check 50/50. Device B is annoyed because she
only got a salad but Server got the Surf and Turf.
Device A comes online and receives a message from the server.
Device A notices the server's checksum data is a change from 42 -> 192
and not 42 -> 64. Thus its copy is out of sync and fires a message to
the User of Device A to resolve the data.
User A resolves the data and Device A sends the merged data to the server.
Device B gets a message of new data and updates to what the server has.
++
Corinne
On 28 January 2014 17:01, Summers Pittman <supittma(a)redhat.com
<mailto:supittma@redhat.com>> wrote:
On 01/28/2014 10:58 AM, Lucas Holmquist wrote:
> On Jan 28, 2014, at 10:54 AM, Summers Pittman
<supittma(a)redhat.com <mailto:supittma@redhat.com>> wrote:
>
>> On 01/28/2014 10:48 AM, Lucas Holmquist wrote:
>>> On Jan 28, 2014, at 10:30 AM, Summers Pittman
<supittma(a)redhat.com <mailto: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"
>> When I hear realtime I think sub 100 ms updates to all clients.
(think
>> 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.
> this makes sense, but i guess it would be push when available.
thinking web and crappy web socket support( dang you carriers )
Right. I'm not saying lets do something complicated. I'm saying lets
use GCM, iOS CM, and simple push to send notifications to tell the
client something. In simplePush case it is "this data changed,
get the
new stuff and update yourself". In Android and iOS case it may be
that
or it may be "here is new data".
In general, I am fine for getting a message saying something like
Documents/Schedules/1/${revision}. Then I can check my revisions,
fetch
data if necessary, update my local data, and send any updates. That
SHOULD (I think) be doable with simplepush as well right?
>
>>>> 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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