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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 ...
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 ...
RFC 8746 defines tags 64–87 to encode homogeneous arrays of fixed-size integer or floating-point values as byte strings. The tag 55799 is allocated to mean "CBOR data follows". This is a semantic no-op , but allows the corresponding tag bytes d9 d9 f7 to be prepended to a CBOR file without affecting its meaning.
The YANG data modeling language is maintained by the NETMOD [6] working group in the Internet Engineering Task Force (IETF) and initially was published as RFC 6020 in October 2010, with an update in August 2016 (RFC 7950). The data modeling language can be used to model both configuration data as well as state data of network elements.
[3] [4] [5] Hashing is an example of a space-time tradeoff. If memory is infinite, the entire key can be used directly as an index to locate its value with a single memory access. On the other hand, if infinite time is available, values can be stored without regard for their keys, and a binary search or linear search can be used to retrieve the ...
[4] [5] It was described as being "like sed for JSON data". [6] Support for regular expressions was added in jq version 1.5. A "wrapper" program for jq named yq adds support for YAML, XML and TOML. It was first released in 2017. [7] The Go implementation, gojq, was initially released in 2019. [8] gojq notably extends jq to include support for YAML.
[4] [5] The topmost element in the structure must be of type BSON object and contains 1 or more elements, where an element consists of a field name, a type, and a value. Field names are strings. Types include: Unicode string (using the UTF-8 encoding) 32-bit integer; 64-bit integer; double (64-bit IEEE 754 floating point number, including NaN/Inf)
Hi/Lo is an algorithm and a key generation strategy used for generating unique keys for use in a database as a primary key. It uses a sequence-based hi-lo pattern to generate values. Hi/Lo is used in scenarios where an application needs its entities to have an identity prior to persistence. It is a value generation strategy.