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JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [29] JSON Schema is based on the concepts from XML Schema (XSD) but is JSON-based. As in XSD, the same ...
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 ...
XML schema: DOM, SAX, XQuery, XPath — FHIR: Health Level 7: REST basics Yes Fast Healthcare Interoperability Resources: Yes Yes Yes Yes Hapi for FHIR [4] JSON, XML, Turtle: No Ion: Amazon: JSON: No The Amazon Ion Specification: Yes Yes No Ion schema: C, C#, Go, Java, JavaScript, Python, Rust — Java serialization Oracle Corporation — Yes ...
File metadata, including the schema definition. The 16-byte, randomly-generated sync marker for this file. For data blocks Avro specifies two serialization encodings: [6] binary and JSON. Most applications will use the binary encoding, as it is smaller and faster. For debugging and web-based applications, the JSON encoding may sometimes be ...
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
The Cap'n Proto interface schema uses a C-like syntax and supports common primitives data types (booleans, integers, floats, etc.), compound types (structs, lists, enums), as well as generics and dynamic types. [2] Cap'n Proto also supports object-oriented features such as multiple inheritance, which has been criticized for its complexity. [3]
In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessary routines (mappings) are written to (indirectly) transform/translate each and every source schema to each and every target schema by using the interchange format as an intermediate step.
However, while JSON and MessagePack aim to serialize arbitrary data structures with type tags, Protocol Buffers requires a schema to define the data types. Protocol Buffers compiler creates boilerplate code in the target language to facilitate integration of serialization into the application code; MessagePack returns only a dynamically typed ...