You might remember horror stories from the late 1900s when people would lose critical data and documents because they "forgot to hit Save and the computer crashed." Or, maybe you've never experienced this — because a couple decades of distributed-systems engineers and UX researchers made that problem obsolete.
So now we've... reinvented the Save button, but somehow needed a Paxos implementation to do it?
Everything old is new again, I guess.
I want to decide when to save, and how, not the application. I am not a product, I am a user!!!
If I open a word document, redact a few bits, save to PDF and close it - I don't want my changes saved but they are (real scenario from last week. I'd only just moved the file into Onedrive so autosave had turned itself on)
Ditto sorting and filtering spreadsheets.
Software engineers: By all means save in the background so I never lose anything, but don't assume I want the latest changes.
This is not trivial to implement, though. Complexity will depend a lot of the application and the data. I'd say it'll only make sense for mature apps. A startup will most likely don't consider this in its roadmap.
The thing that I'm unclear on is how do I figure out what data to ship to the user? Like if I don't already have a database-per-user then I have to extract only the data the user has permission to see, and ship that as a database?
That would be the case even if I had database-per-customer - not every user is necessarily able to see all the data owned by the organization they're a part of.
It seems like a lot of extra work, and error-prone, too (what could be worse than accidentally shipping the wrong data _as an operational database_ to a client?)
Edit: the article covers this at the bottom, but IMO it's a show-stopper. What application of any real complexity can actually implement database-per-user (database-per-tenant is probably not enough, as I mentioned above).
Now, you'll introduce a huge amount of user frustration around why their changes never made it to the central database. If you have users closing a form, especially if it's on a webpage, they are going to expect the write to happen at the same time the form closes. Making a bunch of changes and batching them in a single sync is going to be confusing to a ton of users.
I just checked a heavy user for our enterprise SPA. localStorage is using ~12 KB.
I don't know what people are just throwing in localStorage but they certainly aren't pulling down much of the database (which still would have to be checked to ensure cached data in there isn't stale).
"get the database"
How small do you think these databases are?!
You're going to download the entire hotel booking platform's database?
For how many hotels? One at a time, and then get another databse? Or are you getting a Sqlite booking database for every hotel in the world? And you're going to send them to each user? For what date range?
And even if that were possible, you then have to commit your offline updates. What if someone else booked the date range prior to you? Now your Sqlite copy is stale. Download the entire thing again? There could have been countless changes from other users in the time since you last got your copy.
This explanation just leaves me even more confused. It's illogical.
Jokes aside, this extreme optimization for development does have impacts on user experience. The amount of bandwidth/storage etc used by a "just ship the whole db" type applications would surely suck for most people outside of the 'I measure my bandwidth in Gbps' crowd?
For this project, I'd do:
* A database for each user (this is natural on CouchDB, a setting one can enable to create the DB automatically. The platform won't choke on many databases) - for some per-user data, like comments, if the user has already reserved a booking we can mirror booking data there + some info regarding the hotel.
* Common synced databases - some general info regarding the platform and hotels. Preferably not too large (IIRC there's no limit to attachments with 3.x, but it sounds risky). Anything too large we'd do online or use data provided with the application.
* A large booking database which isn't synced and must be modified online with a REST call - we don't have to allow every action offline. This obviously needs the online component for making sure bookings don't conflict. Could even be a regular relational database. (Something like allowing a provisional offline reservation to the user database followed by a possible rejection on the server when syncing is doable, but I'm don't think there's much value to the user here).
It sounds very doable, rather similar to a project I was involved with, but I miss SQL a lot with that platform. A sqlite-based approach is an interesting alternative.
It doesn't sound that unreasonable.
Even if you have 3-4 hotels your data won't be significant.
By the time your dude downloads the database half the hotels on your imaginary website have changed status.
User can open the application, get the database, the frontend does all the offline updates the user want to perform. The user can update their website, add bookings they received on the phone, check what prices they set. This is all blazingly fast with no loading time, no matter your internet connection, because no further communication with the server is needed.
At some point they press a magic Publish button and the database gets synced with upstream and uploaded. The upstream service can take the data and publish a website for its users, update availabilities, update prices, etc.
It would be a better user experience than 99% of the SaaS out there.