Use Datalog implementation with external data and indexes? about datascript HOT 5 CLOSED

Well, as I said, I'm quite the n00b with ClojureScript, but here's my fork of Datascript that uses external indexes. Feel free to critique or contribute!

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Indexes are required for fast query lookups and range searches. Slow access (full-scan) is already implemented for collections. IndexedDB would be a good data storage for DataScript, if only it had synchronous api. With callbacks, it seems very hard to use DataScript the ways I imagined it would be used.

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Use core.async?
How hard would it be to add an async API?
Maybe a use-channels binding?

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It will ruin the whole “db as a value” idea. You cannot do async callbacks during React render for example. Core.async callbacks will not allow for nested functions. And so on. Barriers where there shouldn’t be any. It will force you to split model and view model, extracting latter from the rendering code. This is a wrong kind of decoupling, because rendering code has high cohesion, it’s a mistake to break these apart because limitations of technology say so.

Also, it’s not clear what benefits of storing data in IndexedDB are?

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I'd agree with @tonsky that the "db as a value" idea would be sad to lose—I've spent quite a bit of time connecting an async data source like IndexedDB to work with React, and it basically involves duplicating all of the data so that React sees it.

That said, it would be really nice to have a Datalog implementation with the option to hook in external, async indexes (like from IndexedDB or, in my case, PouchDB). I'm giving that a shot—though, since I'm quite the n00b with ClojureScript and Datalog versus JS, I'm just throwing in callbacks. I'll report back with a link to the fork if I get anywhere useful. ;-)

(P.S. If anyone has good core.async examples, I'd love to see them…especially on how to, say, implement in core.async a reduce function whose reducer function is async. As I said, I'm a n00b. ;-) )

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