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Show HN: Operational transform for realtime collaborative editing in JS/Flow
- theaustinseven 10y agoThis is cool! I've been working on something similar in Go, but I haven't spent much time on it recently. Is this a purely front-end application, or is there a server associated with it?
- c0da 10y agoThanks! My implementation is currently front-end only. Here's the code that simulates all the client/server communication: https://github.com/cricklet/blue-ot.js/blob/master/js/ot/orchestrator.js#L533 https://github.com/cricklet/blue-ot.js/blob/master/js/ot/orc... It shouldn't be too hard to take that and put it in an actual client/server architecture. The client needs to have a way to send local operations to the server (this can just be an endpoint on the server) and the server needs a way to broadcast operations to all clients (probably webRTC?).
- mandeepj 10y ago> all clients or to all interested clients. > (probably webRTC?). It can also be done with SignalR.
- grizzles 10y agoHey Kenrick, I agree - WebRTC would be a good choice since it allows out of order packets, that can speed stuff up quite a bit. Did you see this article? It was posted on HN yesterday. It links to a gh project that might be useful for your project. https://getkey.eu/blog/5862b0cf/webrtc:-the-future-of-web-games https://getkey.eu/blog/5862b0cf/webrtc:-the-future-of-web-ga...
- akanet 10y agoI'm going to try to implement this in my app. I use Firebase/Firepad for true p2p OT but it's become cumbersome. Do you have additional thoughts about communication channel implementation?
- juliendorra 10y agoGreat! I like the format of the post a lot: demo, code example and super clear explanation all combined in a good starting point on the subject. (You could also have cited Etherpad as a common implementation in addition to Docs. Etherpad was a direct predecessor to character by character OT in Docs —the team was acquhired— and it is still widely used by many organizations. But then there is so many examples and libs, I understand that you wanted to just give context!)
- tmail21 10y agoThe basic problem with OT (and current "real-time" collaborative editing approaches) is that they can only achieve eventual consistency. While this sounds great, eventual consistency DOES NOT mean semantic consistency. This rules it out for many applications where semantic correctness is important. Even for simple text documents you can get eventually correct but semantically incorrect results. For example, consider the sentence "The car run well" This has an obvious grammatical error. Now imagine two collaborative editors. Editor 1: Fixes this to "The car runs well" Editor 2: Fixes this to "The car will run well" Depending on the specific ordering of character inserts and deletes this could easily converge to "The car will runs well" Obviously this statement is both grammatically incorrect as well as semantically ambiguous. (However, both editors see the same result and it is hence eventually consistent). Worse, OT collaborative editing will silently do this and carry on. Now, for non-critical text where errors like this are ok, this may not be a big problem. But imagine contracts or white papers, or trying to use this on something like a spreadsheet where semantic correctness is critical and one can see why the current scope of collaborative "real-time" editing is very limited. In general current "real-time" editing approaches like OT are outright dangerous.
- willyk 10y agoThanks for the thoughtful post. What do you see as the next best alternative approach to OT?
- tmail21 10y agoIf one absolutely wants real-time collaborative editing then the only (long-term) solution I see is something like a deep learning solution that continuously semantically analyzes the merged state for semantic errors. In a particular problem domain this might be 5-10 years out. In the general case, this starts to approach the level of difficulty of AGI and hence who knows when that'll happen :) Some practical solutions are that the document starts out in a 'real-time collaborative editing' phase. After this phase is over, the document moves to a 'review' phase where the document is reviewed for semantic errors and those errors are fixed using a 'non-real-time' approach. The only way I see at this time to avoid silent semantic errors in the first place are non-real-time approaches. The best practices here are optimistic locking/leasing of "semantically-connected regions" (could be defined as a paragraph, document, multi-docset, worksheet, slide etc.) along with semantically useful diffs (diffs that are meaningful for an end user) for conflicts. You could say that this is the approach taken by version control systems like git, where the semantically-connected region is the File/Document. Semantically useful diffs for anything other than text documents is a non-trivial problem in itself. But is still more tractable than avoiding or detecting silent semantic errors with OT.
- Leftium 10y agoWow! Front-end only is actually a great advantage for me. I actually tried to modify [ShareDB] to be front-end only[1]. (ShareDB uses WebSockets or any other full duplex stream; it's a great reference if you want to implement true client/server.) I guess my use case is quite unique: [Todo.taskpaper] needs to sync multiple "views" of a single document in the same web app. Right now it uses very naive syncing; I'm going to try to upgrade it to blue-ot.js. [ShareDB]: https://github.com/share/sharedb https://github.com/share/sharedb [1]: http://stackoverflow.com/q/40616650/117030 http://stackoverflow.com/q/40616650/117030 [Todo.taskpaper]: https://todo-taskpaper.leftium.com https://todo-taskpaper.leftium.com