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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    For example, PKIX uses such notation in RFC 5912. With such notation (constraints on parameterized types using information object sets), generic ASN.1 tools/libraries can automatically encode/decode/resolve references within a document. ^ The primary format is binary, a json encoder is available. [10]

  3. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    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 ...

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    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 ...

  5. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  6. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices.

  7. JSON-LD - Wikipedia

    en.wikipedia.org/wiki/JSON-LD

    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.

  8. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations). The serialized format allows random access to specific data elements (e.g. individual string or integer properties) without parsing all data.

  9. CBOR - Wikipedia

    en.wikipedia.org/wiki/CBOR

    A tag of 2 indicates that the following byte string encodes an unsigned bignum. A tag of 32 indicates that the following text string is a URI as defined in RFC 3986. 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".