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In computing, Jackson is a high-performance JSON processor for Java. Its developers extol the combination of fast, correct, lightweight, and ergonomic attributes of the library. Its developers extol the combination of fast, correct, lightweight, and ergonomic attributes of the library.
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.
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. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.
The JSONiq language (not the extension to XQuery) is a superset of JSON. That is, each JSON document is a valid JSONiq program. Additionally, the language also supports a navigational syntax for extracting field names and values out of JSON objects as well as values out of JSON arrays.
The binary file can store some information that cannot be captured in the XML or JSON file formats. The array, set and dictionary binary types are made up of pointers - the objref and keyref entries - that index into an object table in the file. This means that binary plists can capture the fact that - for example - a separate array and ...
A JSON Patch document is structured as a JSON array of objects where each object contains one of the six JSON Patch operations: add, remove, replace, move, copy, and test. This structure was influenced by the specification of XML patch.
it can gather a stream of inputs from a specified source into a JSON array; it can parse its JSON inputs using a so-called "streaming parser" that produces a stream of [path, value] arrays for all "leaf" paths. The "streaming parser" is particularly useful when one of more of the JSON inputs is too large to fit into memory, since its memory ...
The nebulous JSON 'number' type is strictly defined in Ion to be one of int: Signed integers of arbitrary size; float: 64-bit IEEE binary-encoded floating point numbers; decimal: Decimal-encoded real numbers of arbitrary precision; Ion adds these types: timestamp: Date/time/time zone moments of arbitrary precision