IO.println(JsonObject.of(Map.of("providers",
JsonArray.of(List.of(JsonString.of("SUN"),
JsonString.of("SunRsaSign"),
JsonString.of("SunEC"))))));
There's gotta be a better way!Surely there could be some way of creating a JsonArray of native Java Strings, Booleans, Doubles, and Integers without requiring clients to explicitly convert each value into a JsonValue. And why am I forced to convert a native List into a JsonArray just so I can make it the value of a JsonObject?
Why can't I write this?
JsonObject.of(Map.of("providers", List.of("SUN", "SunRsaSign", SunEC")))); (println (json/generate-string {:providers ["SUN" "SunRsaSign" "SunEC"]}))The kotlin stdlib-adjacent json lib does it like this
buildJsonObject {
putJsonArray("providers") {
add("SUN")
add("SunRsaSign")
add("SunEC")
}
}
[1] https://kotlinlang.org/docs/type-safe-builders.htmlThat's not really true. You can have a Java library providing:
Json.writeTo(System.out)
.object()
.array("providers")
.element("SUN")
.element("SunRsaSign")
.element("SunEC")
.end()
.end();
or as a shortcut Json.writeTo(System.out)
.object()
.array("providers").withElements("SUN", "SunRsaSign", "SunEC")
.end();
or similar (aka faceted fluent API), with typed interfaces mirroring the grammar of the target language, here JSON.This is basically a structured output iterator (or OutputStream-like) pattern. It can also support modularization such that substructures can be factored out into separate methods or lambdas, thereby also allowing loops and conditionals.
Such an API can be provided in a relatively compact fashion and would be nicer than what the JEP proposes.
Indeed, Java JSON libraries typically offer all these conveniences and more, but this package is not intended to replace them - as the JEP clearly states ("It is not a goal to create an API that supplants established external JSON libraries"). It is intended to support only simple JSON tasks without requiring a library. For that goal, feature creep is particularly problematic: the more you offer (which reduces the need for the popular libraries in more situations) the greater the pressure to add even more.
Often, it's best to start with the minimum required, and then, as the API gets used in the field, see what the most valuable convenience methods to add on top.
But for constructing JSON out of strings, numbers, booleans, lists, and maps, there's really not that much scope to creep into.
Specifically, I think it would be perfectly cromulent to have JsonArray.of() be able to support any Iterable of native Strings, Integers, Doubles, or Booleans; that doesn't feel like feature creep to me at all. It would transparently support Sets. (Right now, the API only accepts Lists of JsonValues, which is what makes the API feel so ceremonious.)
In my world, I think the worst possible outcome would be a java.util.json library that does 50-95% of what I currently do with GSON or Jackson. In that scenario I still need an external dependency, and I can either ignore java.util.json or turn a codebase into an error-prone mix of both.
Maybe a good set of design considerations for java.util.json would be “what does this API need to run a CRUD app written in modern java?” Parse requests from the web, send responses to the web, and serialize/deserialize data from X database (e.g. if noSQL or jsonb). In my head “in modern java” would mean that JSON is converted to records at application boundaries
val json = JsonObject(
mapOf(
"providers" to JsonArray(
listOf(
JsonPrimitive("SUN"),
)
)
)
)
println(json)
Of course nobody generally does it this way, usually you take a List/Map and directly serialize that with a helper val data = mapOf("providers" to listOf("SUN", "SunRsaSign", "SunEC"))
val kotlinxJSON = Json.encodeToJsonElement(data)
val jacksonJSON = ObjectMapper().writeValueAsString(data) sealed Interface A {
class B: A
class C: A
companion object {
operator fun invoke(s: String) = when (s) {
"B" -> B()
"C" -> C()
}
}
}
val a = A("B") static JsonObject of(Map<String, ? extends JsonValue> map);
java.lang.String and other types don't extend JsonValue, and java lacks any trait-like way to add this functionality to existing types, so you would have to change the signature to this: static JsonObject of(Map<String, ? extends Object> map);
Now you can pass any Object in, but the typechecker can't ensure that it is convertible to json anymore. I.e. it will have to check at runtime that it's either JsonValue or another type that is has a known conversion for (Integer, Double, String, List, Map, etc.). The jackson ObjectMapper e.g. has a lot of configuration available to tell it how to do these conversions on arbitrary types, and I think they want to eliminate that kind of ceremony.It does seem like any serious application is going to use another library, and this will be useful for very simple json usage or single-file hello-world type programs (e.g. to go along with Implicitly Defined Classes and the Flexible Launch Protocol).
jshell> new ObjectMapper().valueToTree(Map.of("providers", List.of("SUN", "SunRsaSign", "SunEC")));
$4 ==> {"providers":["SUN","SunRsaSign","SunEC"]}
(or was that the joke?)I think so to, and it surprises me that they write
“A key goal driving the recent evolution of the Java Platform has been to enable simple tasks to be accomplished more easily and with less ceremony. Features serving this goal include convenience factory methods for collections […]”
and don’t, from that, decide that this API needs such factory methods.
The API also doesn’t make JsonObject or JsonArray collections, requiring one to use ‘asMap’ or ‘asArray’ before iterating over them.
What benefit does that carry? That one can implement those interfaces as records?
/*[Dude.json/] {
"Name": "Scott",
"Age": 100,
"Address": {
"Street": "345 Syracuse Way",
"City": "Atlantis"
}
}
*/
Dude dude = Dude.fromSource();
out.println(dude.getName());
out.println(dude.getAge());
out.println(dude.getAddress().getCity());
https://github.com/manifold-systems/manifoldThe clean way of doing this is to build a json marshaling mechanism for the type system as it already exists. This is doable in Java, and some json libraries (e.g. gson) are already capable of this.
I must admit I don't fully understand the motivation behind this JEP. Like when would I ever reach for this?
One of my favorite things about Jackson was being able to arbitrarily navigate through the document with a rich and fluent API (JsonNode) in jackson.databind, which this JEP at least conceptually borrows from with the JsonValue abstraction. Both of these are better than how some of the other implementations do it, where you are effectively working with glorified Map<String,Object>
I already have one of these (I'm sure I'm not alone). It's about 500 lines.
I found I'm not a huge fan of the JAX-B-ish style serialization of Java objects for JSON. I don't want to really downplay them, they certainly have their uses, they're very popular, I just don't like fighting them. Hand writing JSON marshaling code has not been arduous for me (notably with my utility layer). (I also, philosophically, strive to avoid "magic" in my code as much as practical.)
Of course, I still need a parser, I'm using GSONs parser, which means I'm still dragging in the whole bean level serialization infrastructure. I just don't use it. And while I've done JSON parsers before, I felt it was something better to import than maintain myself. So, in that sense, it's a mixed bag.
But, I do enjoy using it.
This will be a worthwhile JDK capability. Ideally it can replace mine.
String body = ... REST response body, which is a JSON document ... ;
JsonValue json = Json.parse(body);
json.get("properties").get("periods").asList().stream()
.mapToInt(j -> j.get("temperature").asInt())
.average()
.ifPresent(IO::println);
Why am I able to call `.get(string)` or `.get(int)` on a JsonValue? Shouldn't these be on the JsonObject and JsonArray instead?> If the JsonValue instance is of the wrong type, or if the requested member or element does not exist, the access methods throw a JsonValueException.
So if I get an exception, I can't tell whether the value was of the wrong type or the object didn't have the requested key? This looks like a footgun to me.
They just brought pattern matching to Java. Why not move those .get to JsonArray and JsonObject? That would solve this confusions. So we could just use something like `if (json instanceof JsonObject o) o.get("properties")`
json.asObject().get("prop1").asObject().get("prop2")...Does anyone know how this behaves when encountering a repeated key in an object? (RFC8259 states that keys SHOULD be unique, which makes that generally allowed and implementations all behave slightly differently).
Duplicate keys are a parse exception.
> Additionally, documents must not have objects with duplicate member names.
1. An HTTP server library/framework
2. A JSON library
We got a decently-performing and unopionated HTTP server in JDK 18 with "HttpHandlers" and "SimpleFileServer" plus "jwebserver" CLI
It later received Virtual Thread support, which made performance + scalability very competitive.
With a JSON module, you finally won't NEED to rely on external deps to build a basic JVM web service without pain.
Now, we just need a proper CLI framework like picocli, or at least "argparse" from Python stdlib...
A web server using this could only start parsing when it receives the last byte, and could only start responding when it’s done serializing, all while holding non-lazy trees of JsonValue objects in memory.
I'm somewhat boggled that json5 hasn't grown to be more of a thing.
I find it interesting to note that nowhere in this JEP is the word "serialization", which is what most people might associate with JSON libs. Or rather, they are studiously ignoring that feature and just improving the ergonomics of interacting with JSON.
This seems to repeat the same mistakes of Go's built in JSON library where the ecosystem is full of workarounds and other libraries that are faster or have better features.
As similar as all the almost-JSON formats are, I still think it's best to keep APIs single-purpose: one for JSON, one for JSON-lines, one for JSONC, and so on. It's a larger code surface, but a less potentially surprising one.
If parsing fails - how often can you do anything else than just abort and log/show an error..
Checked exceptions are nice in theory, but it is very context dependent if checked’ness is useful, I would prefer that libraries do not expose them.