Perf tip: if your web app ships large JSON-like configuration as JavaScript object literals, consider using JSON.parse instead. It’s much faster, especially for cold loads! https://v8.dev/blog/cost-of-javascript-2019#json …pic.twitter.com/p0WICUm7zx
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Perf tip: if your web app ships large JSON-like configuration as JavaScript object literals, consider using JSON.parse instead. It’s much faster, especially for cold loads! https://v8.dev/blog/cost-of-javascript-2019#json …pic.twitter.com/p0WICUm7zx
The difference here is that parsing JSON is not the same as parsing an arbitrary JavaScript object. If you can make an assertion that it really is JSON, it's a win for simplicity and security IMO.
+1. This is not some implementation detail that might change in a few years. JSON is unambiguous and inherently simpler to parse than JavaScript, and since JSON is set in stone + we can't remove features from JavaScript, it'll stay that way forever.
1/4 I wonder if there's a case for a language enhancement here: JSON object/array literals. const store = JSON{ "answer": 42 }; Only JSON is allowed within JSON{...}. (And JSON[...] for arrays.) Vs. doing this today: const store = JSON.parse(`{ "answer": 42 }`);
I think there are more concerns here than just parsing overhead.
1)The recommendation moves most parsing of the literal from “parse-time” to “execution time”. This could be significant to implementations and apps (eg @moddabletech ) where “parse-time” is pre-deployment.
1/
The point @awbjs makes is correct. Using XS on embedded this approach is slower and may require more memory. We have projects with large static data in JS objects that take zero time to load and reside fully in ROM, taking no RAM at all. That's thanks to our preload build step.
Both the original tweet and article state that this tip applies specifically to *web* apps for exactly these reasons.
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