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int32: 32-bit little-endian 2's complement or int64: 64-bit little-endian 2's complement: Double: little-endian binary64: UTF-8-encoded, preceded by int32-encoded string length in bytes BSON embedded document with numeric keys BSON embedded document Concise Binary Object Representation (CBOR) \xf6 (1 byte)
Short counts of 24–27 indicate the count value is in a following 8, 16, 32 or 64-bit extended count field. Values 28–30 are not assigned and must not be used. Types are divided into "atomic" types 0–1 and 6–7, for which the count field encodes the value directly, and non-atomic types 2–5, for which the count field encodes the size of ...
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 ...
---- If we'll be converting to a JSON object, we'll want to sort the keys so that the-- end result is deterministic.--local string_keys = {} local number_keys = {} local number_keys_must_be_strings = false local maximum_number_key for key in pairs (T) do if type (key) == 'string' then table.insert (string_keys, key) elseif type (key) == 'number ...
Example of a web form with name-value pairs. A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.
JSON-LD is designed around the concept of a "context" to provide additional mappings from JSON to an RDF model. The context links object properties in a JSON document to concepts in an ontology. In order to map the JSON-LD syntax to RDF, JSON-LD allows values to be coerced to a specified type or to be tagged with a language.
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 ...
MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.