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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. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    In addition to supporting JSON for type and protocol definitions, Avro includes experimental [24] support for an alternative interface description language (IDL) syntax known as Avro IDL. Previously known as GenAvro, this format is designed to ease adoption by users familiar with more traditional IDLs and programming languages, with a syntax ...

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    The specifications allow JSON objects that contain multiple members with the same name. The behavior of implementations processing objects with duplicate names is unpredictable. For interoperability, applications should avoid duplicate names when transmitting JSON objects.

  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. JSON Patch - Wikipedia

    en.wikipedia.org/wiki/JSON_Patch

    adds a value into an object or array. Remove removes a value from an object or array. Replace replaces a value. Logically identical to using remove and then add. Copy copies a value from one path to another by adding the value at a specified location to another location. Move

  7. XML data binding - Wikipedia

    en.wikipedia.org/wiki/XML_data_binding

    One of XML data binding's strengths is the ability to deserialize objects across programs, languages, and platforms. [2] You can dump a time series of structured objects from a datalogger written in C (programming language) on an embedded processor, bring it across the network to process in Perl and finally visualize in Octave .

  8. Marshalling (computer science) - Wikipedia

    en.wikipedia.org/wiki/Marshalling_(computer_science)

    XmlSerializer is the framework used by C# developers to marshal and unmarshal C# objects. One of the advantages of C# over Java is that C# natively supports marshalling due to the inclusion of XmlSerializer class. Java, on the other hand requires a non-native glue code in the form of JAXB to support marshalling. [12]

  9. VTD-XML - Wikipedia

    en.wikipedia.org/wiki/VTD-XML

    This approach's biggest benefit is it no longer requires XML schema, avoids needless object creation, and takes advantage of XML's inherent loose encoding. [ 22 ] It is worth noting that data binding discussed in the article mentioned above needs to be implemented by the application: VTD-XML itself only offers accessors.