On 12/10/2013 02:34 AM, Erik Jan de Wit wrote:
On 9 Dec,2013, at 17:06 , Summers Pittman <supittma(a)redhat.com
<mailto:supittma@redhat.com>> wrote:
> For real time sync this is a great primer:
>
https://neil.fraser.name/writing/sync/. The concepts can be expanded
> beyond text of course.
That is a great article, but all these techniques are only cool for
documents.
This technique is good for synced text. We've hooked our horse to
the
JSON cart pretty hard so we should be able to deal with that for a large
number of cases.
We could support documents of course, but I was thinking more about
Pipes and syncing those when one has been offline for a while.
So Pipes aren't
data per se. They are a one way query mechanism (IE the
pipe doesn't start spewing data all over your living room floor for no
reason.) Pipes can be used by Sync to fetch data once a signal to
refresh has been received however.
So for example when you have a Car that has make Toyota and one
changes it to Toiota and another changes it Toyotas merging these to
changes to Toiotas is always wrong. We don't need merge support we
only need conflict resolution.
'Toiotas' Yes, 'Toiotas' (no cap)
no. That would actually be correct in
patch diff merge.
>
> I guess my question is do we want a really low level but universal
> protocol which requires server support, or several separate APIs
> which can handle legacy servers, servers with minor changes, or real
> time capable servers?
Cool idea to connect a legacy backend and let the front-end deal with
the sync. But we can't support conflict resolution in this scenario.
We can
limit legacy servers to read only data (from a client perspective).
For example client1 and client2 change the same car object. Client1
changes the property colour from red to green and client2 changes it
from red to blue. The change of client1 takes place first then the
change of client2 will be a conflict. Now to detect that conflict we
could fetch the entity again and check if the colour is still the same
as our original value, but it could change in the mean time again. So
there is no guarantee that the data will be consistent.
Of course we could periodically fetch data from a legacy server and
merge that with the client state, but I don't think that this is super
useful the power of sync is changing things to be able to work offline.
Of course, offline is just laggy sync.
But lets take two separate but similar legacy use cases. Downloading the
weather forecast based on your location and synchronizing a todo list.
The weather data probably won't change during the day. So every night
at midnight + jitter our sync can download the forecast from a restful
URL and be done. There is no conflict because the client data can not /
will not change. This is a very simple case to implement.
Syncing a Todo list is more complicated because it can change from
multiple clients. HOWEVER the application has a restriction that todo
list items may only be added and removed but not reordered or edited.
The flow for that could look like
1. User 1 on Android creates a TODO list.
2. Android app creates TODO list copy on server.
3. Android app registers a sync with the server for the todo list
4. User 1 adds item to TODO list.
5. Server syncs its list with Users list. returns OK.
6. User 1 access his list in web app.
7. Web App registers a sync on the server with the todo list.
8. User 1 Edits his list.
9. Web App applies edits and sends deltas to Android app.
10. repeate ad nausiem.
In this case conflicts can only happen if a user deletes the same item
(no practical conflict). So a conflict resolver will be trivial.
So I think we need a protocol, can be really simple just versioned
JSON, and a server that will compare the changes and return conflicts.
Yeah. The
more I poke and play with things the less certain I am that
adding it to the pipe is a good idea. I think we need something separate.
>
> As examples:
> Legacy Servers can be periodic pollers.
> Minor changes can be a sync on push type thing.
> And realtime, is well, real time.
>
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