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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]
Types 2 and 3 have a count field which encodes the length in bytes of the payload. Type 2 is an unstructured byte string. Type 3 is a UTF-8 text string. A short count of 31 indicates an indefinite-length string. This is followed by zero or more definite-length strings of the same type, terminated by a "break" marker byte.
The interface {} type can be used to model structured data of any arbitrary schema in Go, such as JSON or YAML data, by representing it as a map [string] interface {} (map of string to empty interface). This recursively describes data in the form of a dictionary with string keys and values of any type. [81]
A classic example of a problem which a regular grammar cannot handle is the question of whether a given string contains correctly nested parentheses. (This is typically handled by a Chomsky Type 2 grammar, also termed a context-free grammar .)
Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor. Additionally, the XML standard defines a common attribute xml:id, that can be used by the user, to set an ID explicitly.
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.
It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Its primary use is in Apache Hadoop , where it can provide both a serialization format for persistent data , and a wire format for communication between Hadoop nodes , and from client programs to the Hadoop services .
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