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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
JSON: No Smile Format Specification: Yes No Yes Partial (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 ...
Apart from XML, examples could include CSV and supersets of JSON. Google Protocol Buffers can fill this role, although it is not a data interchange language. CBOR has a superset of the JSON data types, but it is not text-based. Ion is also a superset of JSON, with a wider range of primary types, annotations, comments, and allowing trailing ...
ZPE and YASS were designed to help with the automation of scripts by clearing up the inconsistent syntaxes of other scripting languages. [3] The Zenith Parsing Engine (formerly ZenithParser) powers the underlying parsers, including the CSV, INI, JSON, TOML and XML parsers. The ZPE Programming Environment is written in Java, making it cross ...
A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...
By utilizing loadable modules, the plugin architecture of NXLog allows it to read data from any kind of input, parse and convert the format of the messages, and then send it to any kind of output. Different input, processor and output modules can be used at the same time to cover all the requirements of the logging environment.
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.