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mweidner | 9 months ago

As the author, same.

My best guess is:

- Central-server collaborative editing work focuses on Operational Transformation (OT), likely due to inertia (studied since 1989) and the perception that storing an ID per character is inefficient. In fairness, it is, absent the optimizations introduced by RGASplit and Yjs (~2015).

- For decentralized editing, OT is very complicated, and CRDTs took over as the solution of interest (studied since 2005). Storing every operation permanently in a log - needed to use the linked approach without a server - feels inefficient, as does server reconciliation's undo/re-apply process. So CRDT research has focused on avoiding those inefficiencies, sacrificing simplicity along the way, instead of just embracing them as the easy way out.

To me, the "inefficiencies" seem quite manageable. Storage is cheap, text is small, and you probably want a complete op log anyway for auditing and document histories (cf. git). Server reconciliation's undo/re-apply process can be batched aggressively, e.g., only do it a few times per second; that just makes remote ops take a little longer to show up.

Granted, I have not built a complete app around server reconciliation or the linked approach, so perhaps there is a hidden catch. But I am encouraged by the success of Replicache (https://doc.replicache.dev/concepts/how-it-works), which is where I learned of server reconciliation.

discuss

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kamranjon|9 months ago

I wonder if you could sidestep the inefficiencies of storing ID's for every character by using redis streams to store the characters with id's "represented as delta-compressed macro nodes that are linked together by a radix tree" where the ids are "monotonically incrementing and has two parts: <time>-<counter>. The time is in milliseconds and the counter increases for entries generated in the same milliseconds"

This would seem to avoid clashes and also compress the identifier storage in an efficient way.

https://antirez.com/news/128