JSON. Object {} { members } members pair pair , members pair string : value array [] [ elements ] elements value value , elements value string number object array true false null string "" " chars " chars char char chars char any-Unicode-character- except-"-or-\-or- control-character \" \\ \/ \b \f \n \r \t \u four-hex-digits number int int frac int exp int frac exp int digit digit1-9 digits - digit - digit1-9 digits frac . digits exp e digits digits digit digit digits e ee+e-EE+E- JSON (JavaScript Object Notation – Notation Objet issue de JavaScript) est un format léger d'échange de données.
JSON se base sur deux structures: Une collection de couples nom/valeur. Ces structures de données sont universelles. En JSON, elles prennent les formes suivantes: Un objet, qui est un ensemble de couples nom/valeur non ordonnés. Un tableau est une collection de valeurs ordonnées. Une valeur peut être soit une chaîne de caractères entre guillemets, soit un nombre, soit true ou false ou null, soit un objet soit un tableau. Jettison - User's Guide. Jettison includes two JSON/XML mapping conventions.
These are detailed below. Mapped Convention The best way to demonstrate the Mapped convention is a short example: <price xmlns=" Using the mapped convention this can be turned into: As you can see we've mapped the namespace to the "acme. " prefix. The convention follows the following rules: 2. 3. <root><child>test</child><child>test</child></root> In JSON this becomse: Jettison provides some of the most popular XML handling APIs for handling JSON documents. STaX StAX (STreaming Api for Xml processing) is a Java based API for pull-parsing XML (and now JSON). Writing Here's a simple example of using STaX API to write JSON documents: You can expect the following result if you are using Mapped convention and for BadgerFish convention. Type conversion When writing JSON documents, Jettison tries to convert objects to their primitive representation and not to treat everything as a String.
Will print instead of will produce Parsing. JacksonInFiveMinutes - FasterXML Wiki. Inspired by the quality and variety of XML tooling available for the Java platform (StAX, JAXB, etc.), the Jackson is a multi-purpose Java library for processing JSON. Jackson aims to be the best possible combination of fast, correct, lightweight, and ergonomic for developers. This page gives an overview of Jackson's capabilities. JSON Three Ways Jackson offers three alternative methods (one with two variants) for processing JSON: Streaming API (aka "Incremental parsing/generation") reads and writes JSON content as discrete events. org.codehaus.jackson.JsonParser reads, org.codehaus.jackson.JsonGenerator writes.
From usage perspective, one way to summarize these 3 methods is: Streaming API is best performing (lowest overhead, fastest read/write; other 2 methods build on it) Data Binding is often most convenient Tree Model is most flexible Examples Full Data Binding (POJO) Example It takes two lines of Java to turn it into a User instance: Toggle line numbers User.java "Raw" Data Binding Example.