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  2. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    JSON streaming comprises communications protocols to delimit JSON objects built upon lower-level stream-oriented protocols (such as TCP), that ensures individual JSON objects are recognized, when the server and clients use the same one (e.g. implicitly coded in). This is necessary as JSON is a non-concatenative protocol (the concatenation of ...

  3. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...

  4. JSON-WSP - Wikipedia

    en.wikipedia.org/wiki/JSON-WSP

    The description format has the same purpose for JSON-WSP as WSDL has for SOAP or IDL for CORBA, which is to describe the types and methods used in a given service. It also describes inter-type relations (i.e. nested types) and defines which types are expected as method arguments and which types the user can expect to receive as method return ...

  5. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    While JSON provides a syntactic framework for data interchange, unambiguous data interchange also requires agreement between producer and consumer on the semantics of specific use of the JSON syntax. [25] One example of where such an agreement is necessary is the serialization of data types that are not part of the JSON standard, for example ...

  6. Gson - Wikipedia

    en.wikipedia.org/wiki/Gson

    Gson can handle collections, generic types, and nested classes (including inner classes, which cannot be done by default). When deserializing, Gson navigates the type tree of the object being deserialized, which means that it ignores extra fields present in the JSON input.

  7. JSONiq - Wikipedia

    en.wikipedia.org/wiki/Jsoniq

    JSONiq primarily provides means to extract and transform data from JSON documents or any data source that can be viewed as JSON (e.g. relational databases or web services). The major expression for performing such operations is the SQL -like “ FLWOR expression” that comes from XQuery.

  8. Ion (serialization format) - Wikipedia

    en.wikipedia.org/wiki/Ion_(Serialization_format)

    As a superset of JSON, Ion includes the following data types null: An empty value; bool: Boolean values; string: Unicode text literals; list: Ordered heterogeneous collection of Ion values; struct: Unordered collection of key/value pairs; The nebulous JSON 'number' type is strictly defined in Ion to be one of int: Signed integers of arbitrary size

  9. jq (programming language) - Wikipedia

    en.wikipedia.org/wiki/Jq_(programming_language)

    jq is a very high-level lexically scoped functional programming language in which every JSON value is a constant. jq supports backtracking and managing indefinitely long streams of JSON data. It is related to the Icon and Haskell programming languages.