JSON-LD 를 제대로 다루는 라이브러리를 하나 만들어 보시면 어떨까요
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@mat@friendica.exon.name that's a really interesting point of view, and has some parallels to how app development on the ATProto side is easier in many ways.
I do think that this is something C2S (aka the ActivityPub API) can enable.
I am critical of JSON-LD but I do certainly recognize I could be very wrong 😁
@julian I don't know as much as I'd like about AT Lexicons. That is, not so much how they work, but what the grand idea is? I don't even understand if Bluesky imagines them being mixed and matched JSON-LD style. I think not? -
@hongminhee I have the same feeling. The idea behind JSON-LD is nice, but it isn't widely available, so developing with it becomes a headache: do I want to create a JSON-LD processor, spending twice the time I wanted to, or do I just consider it as JSON for now and hope someone will make a JSON-LD processor soon? Often, the answer is the latter, because it's a big task that we're not looking for when creating fedi software.
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@hongminhee from the point of view of someone who is "maintaining" a JSON-LD processing fedi software and has implemented their own JSON-LD processing library (which is, to my knowledge, the fastest in it's programming language), JSON-LD is pure overhead. there is nothing it allows for that can't be done with
1. making fields which take multiple values explicit
2. always using namespaces and letting HTTP compression take care of minimizing the transfer
without JSON-LD, fedi software could use zero-ish-copy deserialization for a majority of their objects (when strings aren't escaped) through tools like serde_json and Cow<str>, or System.Text.Json.JsonDocument. JSON-LD processing effectively mandates a JSON node DOM (in the algorithms standardized, you may be able to get rid of it with Clever Programming)
additionally, due to JSON-LD 1.1 features like @type:@json, you can not even fetch contexts ahead of time of running JSON DOM transformations, meaning all JSON-LD code has to be async (in the languages which has the concept), potentially losing out on significant optimizations that can't be done in coroutines due to various reasons (e.g. C# async methods can't have ref structs, Rust async functions usually require thread safety due to tokio's prevalence, even if they're ran in a single-threaded runtime)
this is after context processing introducing network dependency to the deserialization of data, wasting time and data on non-server cases (e.g. activitypub C2S). sure you can cache individual contexts, but then the context can change underneath you, desynchronizing your cached context and, in the worst case, opening you up to security vulnerabilities
json-ld is not my favorite part of this protocol -
@hongminhee from the point of view of someone who is "maintaining" a JSON-LD processing fedi software and has implemented their own JSON-LD processing library (which is, to my knowledge, the fastest in it's programming language), JSON-LD is pure overhead. there is nothing it allows for that can't be done with
1. making fields which take multiple values explicit
2. always using namespaces and letting HTTP compression take care of minimizing the transfer
without JSON-LD, fedi software could use zero-ish-copy deserialization for a majority of their objects (when strings aren't escaped) through tools like serde_json and Cow<str>, or System.Text.Json.JsonDocument. JSON-LD processing effectively mandates a JSON node DOM (in the algorithms standardized, you may be able to get rid of it with Clever Programming)
additionally, due to JSON-LD 1.1 features like @type:@json, you can not even fetch contexts ahead of time of running JSON DOM transformations, meaning all JSON-LD code has to be async (in the languages which has the concept), potentially losing out on significant optimizations that can't be done in coroutines due to various reasons (e.g. C# async methods can't have ref structs, Rust async functions usually require thread safety due to tokio's prevalence, even if they're ran in a single-threaded runtime)
this is after context processing introducing network dependency to the deserialization of data, wasting time and data on non-server cases (e.g. activitypub C2S). sure you can cache individual contexts, but then the context can change underneath you, desynchronizing your cached context and, in the worst case, opening you up to security vulnerabilities
json-ld is not my favorite part of this protocol@hongminhee take this part with a grain of salt because my benchmarks for it are with dotNetRdf which is the slowest C# implementation i know of (hence my replacement library), but JSON-LD is slower than RSA validation, which is one of the pain points around authorized fetch scalability
wetdry.world/@kopper/114678924693500011 -
@hongminhee take this part with a grain of salt because my benchmarks for it are with dotNetRdf which is the slowest C# implementation i know of (hence my replacement library), but JSON-LD is slower than RSA validation, which is one of the pain points around authorized fetch scalability
wetdry.world/@kopper/114678924693500011@kopper @hongminhee I'm glad I'm not the only one who noticed this.
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@hongminhee take this part with a grain of salt because my benchmarks for it are with dotNetRdf which is the slowest C# implementation i know of (hence my replacement library), but JSON-LD is slower than RSA validation, which is one of the pain points around authorized fetch scalability
wetdry.world/@kopper/114678924693500011@hongminhee if i can give one piece of advice to devs who want to process JSON-LD: dont bother compacting. you already know the schema you output (or you're just passing through what the user gives and it doesn't matter to you), serialize directly to the compacted representation, and only run expansion on incoming data
expansion is the cheapest JSON-LD operation (since all other operations depend on it and run it internally anyhow), and this will get you all the compatibility benefits of JSON-LD with little downsides (beyond more annoying deserialization code, as you have to map the expanded representation to your internal structure which will likely be modeled after the compacted one) -
@hongminhee if i can give one piece of advice to devs who want to process JSON-LD: dont bother compacting. you already know the schema you output (or you're just passing through what the user gives and it doesn't matter to you), serialize directly to the compacted representation, and only run expansion on incoming data
expansion is the cheapest JSON-LD operation (since all other operations depend on it and run it internally anyhow), and this will get you all the compatibility benefits of JSON-LD with little downsides (beyond more annoying deserialization code, as you have to map the expanded representation to your internal structure which will likely be modeled after the compacted one)@kopper@not-brain.d.on-t.work @hongminhee@hollo.social expansion is actually really annoying because the resulting JSON has annoyingly similar keys to lookup in a hashmap, wasting cache lines, and CPU time
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@kopper@not-brain.d.on-t.work @hongminhee@hollo.social expansion is actually really annoying because the resulting JSON has annoyingly similar keys to lookup in a hashmap, wasting cache lines, and CPU time
@natty @hongminhee i would imagine a Good hash algorithm wouldn't care about the similarity of the keys, no? -
@hongminhee take this part with a grain of salt because my benchmarks for it are with dotNetRdf which is the slowest C# implementation i know of (hence my replacement library), but JSON-LD is slower than RSA validation, which is one of the pain points around authorized fetch scalability
wetdry.world/@kopper/114678924693500011@hongminhee i put this in a quote but people reading the thread may also be interested: json-ld compaction does not really save that much bandwidth over having all the namespaces explicitly written in property names if you're gzipping (and you are gzipping, right? this is json. make sure your nginx gzip_types includes ld+json and activity+json)
RE: not-brain.d.on-t.work/notes/aihftmbjpxdyb9k7 -
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@hongminhee How hard would it be for a future version of ActivityPub to simply back out JSON-LD support? Would there be a downside to this?