This avoids the need of locking documents, and it avoids duplication out of syncing conflicts. These only sync the small changes done, and they sync in an instant. Mid 2010s the first apps showed up offering atomistic syncing, usually in conjunction with improved collaboration: Office, Google Docs, Apple iWorks, just to name a few. No matter if 2 clients were the same user, or different users. in this environment if 2 clients tried to work on the same document at a time, the document usually was locked (read only) for one of both. This was state of the art in the 2000s, when EN was founded. You made a small edit, and the whole note was updated on the server. The achilles heel of all version of EN prior to RTE was that they always synced the whole note. You don’t understand how syncing used to work, how it works today, and on top of that you refrain from learning. This is most likely due to pressure on the SW team by marketing. The synching issues should've been fixed first. This is the result of adding whiz bang unneeded features on top of buggy software. I definitely experience a delay loading notes that I haven't worked on in a while, but generally maybe only 5-10 seconds. Not trying to make excuses, just get a fix on the situation. As could other things going on on a particular computer. Are the notes that take, say, >20 seconds to appear particularly large ones, have lots of attachments, etc.? I imagine that could be a factor. Sounds like a plausible suggestion but without knowing what the drag on syncing overall would be with the servers churning away converting all of everybody's notes, it's hard to say which is really better. This detracts away from my experience using the product. Or create a cache and convert the notes that are cached so we don't have to experience the delay.įor me, some notes take 10s of seconds (or more) to appear. This could be done in the cloud, and the results re-synced with the client. However, the performance is unacceptable and this needs to be fixed.Ī better approach is to convert the entire database at once.
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