Towards a JSON API for the JDK
Naoto Sato
naoto.sato at oracle.com
Fri May 16 16:35:50 UTC 2025
Hi Rémi,
On 5/15/25 2:27 PM, Remi Forax wrote:
> Hi Paul,
> yes, not having a simple JSON API in Java is an issue for beginners.
>
> It's not clear to me why JsonArray (for example) has to be an interface instead of a record ?
>
> I understand why Json.parse() only works on String and char[] but the API make it too easy to have many performance issues.
> I think you need versions using a Reader and a Path.
> Bonus point, if there is a method walk() that also returns a JsonValue but the List/Map inside JsonArray/JsonObject are populated lazily.
>
> Minor point: Json.toDisplayString() should takes a second parameters indicating the number of spaces used for the indentation (like JSON.stringify in JS).
That would be better. Will implement it soon.
Naoto
>
> regards,
> Rémi
>
> ----- Original Message -----
>> From: "Paul Sandoz" <paul.sandoz at oracle.com>
>> To: "core-libs-dev" <core-libs-dev at openjdk.org>
>> Sent: Thursday, May 15, 2025 10:30:42 PM
>> Subject: Towards a JSON API for the JDK
>
>> Hi,
>>
>> We would like to share with you our thoughts and plans towards a JSON API for
>> the JDK.
>> Please see the document below.
>>
>> -
>>
>> We have had the pleasure of using a clone of this API in some experiments we are
>> conducting with
>> ONNX and code reflection [1]. Using the API we were able to quickly write code
>> to ingest and convert
>> a JSON document representing ONNX operation schema into instances of records
>> modeling the schema
>> (see here [2]).
>>
>> The overall out-of-box experience with such a minimal "batteries included” API
>> has so far been positive.
>>
>> Thanks,
>> Paul.
>>
>> [1] https://openjdk.org/projects/babylon/
>> [2]
>> https://github.com/openjdk/babylon/blob/code-reflection/cr-examples/onnx/opgen/src/main/java/oracle/code/onnx/opgen/OpSchemaParser.java#L87
>>
>> # Towards a JSON API for the JDK
>>
>> One of the most common requests for the JDK is an API for parsing and generating
>> JSON. While JSON originated as a text-based serialization format for JSON
>> objects ("JSON" stands for "JavaScript Object Notation"), because of its simple
>> and flexible syntax, it eventually found use outside the JavaScript ecosystem as
>> a general data interchange format, such as framework configuration files and web
>> service requests/response formats.
>>
>> While the JDK cannot, and should not, provide libraries for every conceivable
>> file format or protocol, the JDK philosophy is one of "batteries included",
>> which is to say we should be able to write basic programs that use common
>> protocols such as HTTP, without having to appeal to third party libraries.
>> The Java ecosystem already has plenty of JSON libraries, so inclusion in
>> the JDK is largely meant to be a convenience, rather than needing to be the "one
>> true" JSON library to meet the needs of all users. Users with specific needs
>> are always free to select one of the existing third-party libraries.
>>
>> ## Goals and requirements
>>
>> Our primary goal is that the library be simple to use for parsing, traversing,
>> and generating conformant JSON documents. Advanced features, such as data
>> binding or path-based traversal should be possible to implement as layered
>> features, but for simplicity are not included in the core API. We adopt a goal
>> that the performance should be "good enough", but where performance
>> considerations conflict with simplicity and usability, we will choose in favor
>> of the latter.
>>
>> ## API design approach
>>
>> The description of JSON at `https:://json.org` describes a JSON document using
>> the familiar "railroad diagram":
>> 
>>
>> This diagram describes an algebraic data type (a sum of products), which we
>> model directly with a set of Java interfaces:
>>
>> ```
>> interface JsonValue { }
>> interface JsonArray extends JsonValue { List<JsonValue> values(); }
>> interface JsonObject extends JsonValue { Map<String, JsonValue> members(); }
>> interface JsonNumber extends JsonValue { Number toNumber(); }
>> interface JsonString extends JsonValue { String value(); }
>> interface JsonBoolean extends JsonValue { boolean value(); }
>> interface JsonNull extends JsonValue { }
>> ```
>>
>> These interfaces have (hidden) companion implementation classes that admit
>> greater flexibility of implementation than modeling them directly with records
>> would permit.
>> Further, these interfaces are unsealed. We compromise on the sealed sum of
>> products to enable
>> alternative implementations, for example to support alternative formats that
>> encode the same information in a JSON document but in a more efficient form than
>> text.
>>
>> The API has static methods for parsing strings into a `JsonValue`, conversion to
>> and from purely untyped representations (lists and maps), and factory methods
>> for building JSON documents. We apply composition consistently, e.g, a
>> JsonString has a string, a JsonObject has a map of string to JsonValue, as
>> opposed to extension for structural JSON values.
>>
>> It turns out that this simple API is almost all we need for traversal. It gives
>> us an immutable representation of a document, and we can use pattern matching to
>> answer the myriad questions that will come up (Does this object have key X? Does
>> it map to a number? Is that number representable as an integer?) when going
>> from an untyped format like JSON to a more strongly typed domain model.
>> Given a simple document like:
>>
>> ```
>> {
>> "name": "John”,
>> "age": 30
>> }
>> ```
>>
>> we can parse and traverse the document as follows:
>>
>> ```
>> JsonValue doc = Json.parse(inputString);
>> if (doc instanceof JsonObject o
>> && o.members().get("name") instanceof JsonString s
>> && s.value() instanceof String name
>> && o.members().get("age") instanceof JsonNumber n
>> && n.toNumber() instanceof Long l && l instanceof int age) {
>> // use "name" and "age"
>> }
>> ```
>>
>> Later, when the language acquires the ability to expose deconstruction patterns
>> for arbitrary interfaces (similar to today's record patterns, see
>> https://openjdk.org/projects/amber/design-notes/patterns/towards-member-patterns),
>> this will be simplifiable to:
>>
>> ```
>> JsonValue doc = Json.parse(inputString);
>> if (doc instanceof JsonObject(var members)
>> && members.get("name") instanceof JsonString(String name)
>> && members.get("age") instanceof JsonNumber(int age)) {
>> // use "name" and "age"
>> }
>> ```
>>
>> So, overtime, as more pattern matching features are introduced we anticipate
>> improved use of the API. This is a primary reason why the API is so minimal.
>> Convenience methods we add today, such as a method that accesses a JSON
>> object component as say a JSON string or throws an exception, will become
>> redundant in the future.
>>
>> ## JSON numbers
>>
>> The specification of JSON number makes no explicit distinction between integral
>> and decimal numbers, nor specifies limits on the size of those numbers.
>> This is a common source of interoperability issues when consuming JSON
>> documents. Generally users cannot always but often do assume JSON numbers are
>> parsable, without loss of precision, to IEEE double-precision floating point
>> numbers or 32-bit signed integers.
>>
>> In this respect the API provides three means to operate on the JSON number,
>> giving the user full control:
>>
>> 1. Underlying string representation can be obtained, if preserving syntactic
>> details such as leading or trailing zeros is important.
>> 2. The string representation can be parsed to an instance of `BigDecimal`, using
>> `toBigDecimal` if preserving decimal numbers is important.
>> 3. The string representation can be parsed into an instance of `Long`, `Double`,
>> `BigInteger`, or `BigDecimal`, using `toNumber`. The result of this method
>> depends on how the representation can be parsed, possibly losing precision,
>> choosing a suitably convenient numeric type that can then be pattern
>> matched on.
>>
>> Primitive pattern matching will help as will further pattern matching features
>> enabling the user to partially match.
>>
>> ## Prototype implementation
>>
>> The prototype implementation is currently located into the JDK sandbox
>> repository
>> under the `json` branch, see
>> here
>> https://github.com/openjdk/jdk-sandbox/tree/json/src/java.base/share/classes/java/util/json
>> The prototype API javadoc generated from the repository is also available at
>> https://cr.openjdk.org/~naoto/json/javadoc/api/java.base/java/util/json/package-summary.html
>>
>> ### Testing and conformance
>>
>> The prototype implementation passes all conformance test cases but two,
>> available
>> on https://github.com/nst/JSONTestSuite. The two exceptions are the ones which
>> the
>> prototype specifically prohibits, i.e, duplicated names in JSON objects
>> (https://cr.openjdk.org/~naoto/json/conformance/results/parsing.html#35).
>>
>> ### Performance
>>
>> Our main focus so far has been on the API design and a functional
>> implementation.
>> Hence, there has been less focus on performance even though we know there are a
>> number of performance enhancements we can make eventually.
>> We are reasonably happy with the current performance. The
>> implementation performs well when compared to other JSON implementations
>> parsing from string instances and traversing documents.
>>
>> An example of where we may choose simplicity and usability over performance
>> is the rejection of JSON documents containing objects that in turn contain
>> members
>> with duplicate names. That may increase the cost of parsing, but simplifies the
>> user
>> experience for the majority of cases since if we reasonably assume JsonObjects
>> are
>> map-like, what should the user do with such members, pick one the last one?
>> merge
>> the values? or reject?
>>
>> ## A JSON JEP?
>>
>> We plan to draft JEP when we are ready. Attentive readers will observe that
>> a JEP already exists, JEP 198: Light-Weight JSON API
>> (https://openjdk.org/jeps/198). We will
>> either update this JEP, or withdraw it and draft a new one.
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