Question: what is the performance impact of implementing this in the typing system? about json-schema-to-ts HOT 6 CLOSED

Sorry it took some time but I added a FAQ section with a paragraph on the subject !

Closing this issue !

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PS: I had some bad experiences with complex typings impacting the editing experience in the past with for example styled-components. Not sure if still the case, but it made editing react code sluggish (in vscode back then), switching to an alternative lib fixed that. With so little control and insight in what's going on with the TS server in the background very complex third-party typings can be a bit scary.

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You may find what you're looking for here: #20

(Perhaps some summary of that discussion could be added to the readme?)

My overall impression is that the perf hit scales with the size of a given json schema – having a lot of schemas shouldn't be too much of an issue, but having really large/complex ones might be.

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Thanks for your answer @rattrayalex

Yes, I've been very busy on other subjects lately, but I'm definitely going to add those points to the README.

@marcelbeumer I've used this lib on a large project with 200+ small/medium schemas (50 to 100 lines). The IDE experience was still very smooth.

• opening your editor, lang server starts, opening a file that uses a FromSchema type or two from other files => Type infering only takes a few seconds, it is very acceptable, at least on small/medium schemas.
• opening your editor, lang server starts, opening a file with many/all schema's in your app => I haven't tested setting many schemas in the same file but I wouldn't recommend that.
• building your project with tsc => Experience is still very smooth, it took ~20seconds on my project

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Thanks @ThomasAribart and @rattrayalex. Those metrics are they just for the schema part (by testing difference with and without schemas) or are those for full project code?

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Full projects. There haven't been isolated benchmarks on just schemas.

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