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  2. Comparison of data-serialization formats - Wikipedia

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

    Variable encoding length signed 32-bit: varint encoding of "ZigZag"-encoded value (n << 1) XOR (n >> 31) Variable encoding length signed 64-bit: varint encoding of "ZigZag"-encoded (n << 1) XOR (n >> 63) Constant encoding length 32-bit: 32 bits in little-endian 2's complement; Constant encoding length 64-bit: 64 bits in little-endian 2's complement

  3. Bencode - Wikipedia

    en.wikipedia.org/wiki/Bencode

    Examples: An empty dictionary is encoded as de. A dictionary with keys "wiki" → "bencode" and "meaning" → 42 is encoded as d4:wiki7:bencode7:meaningi42ee. There are no restrictions on the types of values stored within lists and dictionaries; they may contain other lists and dictionaries, allowing for arbitrarily complex data structures.

  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. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    A few slight differences exist between a .jdt and a .json file, including JData .jdt file accepts multiple concatenated JSON objects inside a single file; JData .jdt strings accepts new-lines inside a string while JSON specification requires new-line characters to be encoded as "\n"; most JSON parsers can process new-lines in the string via the ...

  7. MessagePack - Wikipedia

    en.wikipedia.org/wiki/MessagePack

    MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.

  8. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    File metadata, including the schema definition. The 16-byte, randomly-generated sync marker for this file. For data blocks Avro specifies two serialization encodings: [6] binary and JSON. Most applications will use the binary encoding, as it is smaller and faster. For debugging and web-based applications, the JSON encoding may sometimes be ...

  9. Comparison of programming languages (associative array)

    en.wikipedia.org/wiki/Comparison_of_programming...

    The user can search for elements in an associative array, and delete elements from the array. The following shows how multi-dimensional associative arrays can be simulated in standard AWK using concatenation and the built-in string-separator variable SUBSEP: