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A query string is a part of a uniform resource locator that assigns values to specified parameters.A query string commonly includes fields added to a base URL by a Web browser or other client application, for example as part of an HTML document, choosing the appearance of a page, or jumping to positions in multimedia content.
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 ...
Many field values may contain a quality (q) key-value pair separated by equals sign, specifying a weight to use in content negotiation. [9] For example, a browser may indicate that it accepts information in German or English, with German as preferred by setting the q value for de higher than that of en, as follows: Accept-Language: de; q=1.0 ...
Commonly-used header fields The following fields are commonly used in the header of a JWT typ: Token type If present, it must be set to a registered IANA Media Type. cty: Content type If nested signing or encryption is employed, it is recommended to set this to JWT; otherwise, omit this field. [1] alg: Message authentication code algorithm
Custom header fields can be added to the request to indicate how the server should fulfill it, [12] and data can be uploaded to the server by providing it in the "send" call. [13] The response can be parsed from the JSON format into a readily usable JavaScript object, or processed gradually as it arrives rather than waiting for the entire text ...
Polyline has a repeated field, and thus Polyline behaves like a set of points (of unspecified number). This schema can subsequently be compiled for use by one or more programming languages. Google provides a compiler called protoc which can produce output for C++, Java or Python. Other schema compilers are available from other sources to create ...
Douglas Crockford originally wrote json2.js as an API for reading and writing his (then up-and-coming) JSON data format. It became so widely used that browser vendors decided to implement its API natively and turn it into a de facto standard ; Since json2.js now implements features native to newer browsers into older browsers, it has become a ...
MongoDB supports field, range query and regular-expression searches. [32] Queries can return specific fields of documents and also include user-defined JavaScript functions. Queries can also be configured to return a random sample of results of a given size.