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(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/ref, XPointer, XPath: WSDL, XML schema: DOM, SAX, XQuery ...
It defines a comprehensive list of JSON-compatible "name":value constructs to store a wide range of data structures, including scalars, N-dimensional arrays, sparse/complex-valued arrays, maps, tables, hashes, linked lists, trees and graphs, and support optional data grouping and metadata for each data element. The generated data files are ...
The name "BSON" is based on the term JSON and stands for "Binary JSON". [2] It is a binary form for representing simple or complex data structures including associative arrays (also known as name-value pairs), integer indexed arrays, and a suite of fundamental scalar types. BSON originated in 2009 at MongoDB. Several scalar data types are of ...
It contains JSON objects, JSON arrays, all kinds of XML nodes, as well as atomic values such as integers, strings, or boolean all being defined in XML Schema. JDM forms the basis for a set-oriented language, in that instances of the data model are sequences (a singleton value is considered to be a sequence of length one).
Certain JSON implementations only accept JSON texts representing an object or an array. For interoperability, applications interchanging JSON should transmit messages that are objects or arrays. The specifications allow JSON objects that contain multiple members with the same name.
JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as ...
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
For types 2 (byte string) and 3 (text string), the count is the length of the payload. For types 4 (array) and 5 (map), the count is the number of items (pairs) in the payload. For type 6 (tag), the payload is a single item and the count is a numeric tag number which describes the enclosed item.