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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.
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).
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 ...
Length-prefixed JSON is also well-suited for TCP applications, where a single "message" may be divided into arbitrary chunks, because the prefixed length tells the parser exactly how many bytes to expect before attempting to parse a JSON string. This example shows two length-prefixed JSON objects (with each length being the byte-length of the ...
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.
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 ...
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
All transfer types are single objects, serialized using JSON. [1] A request is a call to a specific method provided by a remote system. It can contain three members: method - A string with the name of the method to be invoked. Method names that begin with "rpc." are reserved for rpc-internal methods.