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![JSON Compatibility
• Array
– ["Sunday", "Monday", "Tuesday", "Wednesday“]
– "employees":[
{"firstName":"John", "lastName":"Doe"},
{"firstName":"Anna", "lastName":"Smith"},
{"firstName":"Peter","lastName":"Jones"}
]
• Object
– { “firstname": “Santhosh ", “lastname": “Gowd”} All data
types are intuitive and similar to other programming
languages
• Also compatible with other languages like C, C++, C#,
ColdFusion, Python and many more.](https://image.slidesharecdn.com/f18df389-ca75-4bed-9f90-7f55adf6f119-151020111437-lva1-app6892/85/Java-JSON-Jackson-6-320.jpg)
Uploaded bySrilatha Kante
Java-JSON-Jackson
This document discusses JSON and Java integration using Jackson. It provides an introduction to JSON, its syntax and compatibility with other languages. It then covers how to use Jackson annotations to serialize and deserialize Java objects to and from JSON. The document also discusses JSON parsing, schema, and how to integrate JSON with Java technologies like MuleSoft.
Java-JSON-Jackson
- 1.
- 2. Agenda • Introduction toJSON • JSON and Java • Jackson Annotations • Introduction to XML • XML to JSON
- 3. Introduction to JSON •JSON – Java Script Object Notation • JSON is a data interchange format • Interactive Web 2.0 applications, no more use page replacement. Data transfer without refreshing a page. • The most important aspects of data transfer are simplicity, extensibility, interoperability, openness and human readability • Key idea in AJAX – Asynchronous Java Script and XML
- 4. Syntax of JSON •JSON is unstructured • Data is in name/value pairs • Data is separated by commas • Curly braces hold objects • Square brackets hold arrays
- 5. Simplicity of JSON •JSON is a subset of Java Script. JSON can be parsed by a Java Script parser. • It can represent either complex or simple data as it has data types • They are Strings, Number, Boolean, Objects and Arrays
- 6. JSON Compatibility • Array –["Sunday", "Monday", "Tuesday", "Wednesday“] – "employees":[ {"firstName":"John", "lastName":"Doe"}, {"firstName":"Anna", "lastName":"Smith"}, {"firstName":"Peter","lastName":"Jones"} ] • Object – { “firstname": “Santhosh ", “lastname": “Gowd”} All data types are intuitive and similar to other programming languages • Also compatible with other languages like C, C++, C#, ColdFusion, Python and many more.
- 7. JSON in AJAX •JSON in AJAX – Part of HTML Tags – <html>... <script> var data = JSONdata; </script>... </html> • JSON in JavaScript – XMLHttpRequest – responseData = eval('(' + responseText + ')');
- 8.
- 9. Encoding JSON inJava
- 10. Decoding Java inJSON
- 11. JSON Schema • JSONSchema is a specification for JSON based format for defining the structure of JSON data • It was written under IETF draft which expired in 2011 – Describes your existing data format. – Clear, human- and machine-readable documentation. – Complete structural validation, useful for automated testing. – Complete structural validation, validating client-submitted data. • Currently the most complete and compliant JSON Schema validator available is JSV
- 12. Parsing JSON • Streaming •Tree Traversing • Data Binding
- 13.
- 14. Jackson Overview • Jacksonis a simple Java-based library to serialize Java objects to JSON and vice versa • Features of Jackson – Easy to use − Jackson API provides a high-level facade to simplify commonly used use-cases. – No need to create mapping − Jackson API provides default mapping for most of the objects to be serialized. – Performance − Jackson is quite fast, consumes less memory space, and is suitable for large object graphs or systems. – Clean JSON − Jackson creates clean and compact JSON results which are easy to read. – No Dependency − Jackson library does not require any other library apart from JDK. – Open Source − Jackson library is open source and free to use
- 15. Set up JacksonEnvironment • Nothing specific for Jackson – Install JDK and make sure path and classpath are set – Download jackson-all-1.9.0.jar – Make sure this file is in the classpath in libraries
- 16. Follow these steps •Step1 : Create ObjectMapper Object – ObjectMapper mapper = new ObjectMapper(); • Step 2: Deserialize JSON to Object – //Object to JSON Conversion Student student = mapper.readValue(jsonString, Student.class); • Step 3: Serialize Object to JSON – jsonString = mapper.writeValueAsString(student);
- 17. Jackson - DataBinding • Simple Data Binding – It converts JSON to and from Java Maps, Lists, Strings, Numbers, Booleans, and null objects. • Full Data Binding – It converts JSON to and from any Java type.
- 18. Jackson Serialization Annotations •@JsonAnyGetter • @JsonGetter • @JsonPropertyOrder • @JsonRawValue • @JsonValue • @JsonRootName • @JsonSerialize
- 19. Jackson Deserialization Annotations •@JsonCreator • @JsonProperty • @JacksonInject • @JsonAnySetter • @JsonSetter • @JsonDeserialize
- 20. Jackson Property Inclusion Annotations •@JsonIgnoreProperties • @JsonIgnore • @JsonIgnoreType • @JsonInclude • @JsonAutoDetect
- 21. Jackson General Annotations •@JsonProperty • @JsonFormat • @JsonUnwrapped • @JsonView • @JsonManagedReference • @JsonBackReference • @JsonIdentityInfo • @JsonFilter
- 22. MuleSoft Transformers • BuiltIn APIs • Global Mappers • JSON to Java • Java to JSON • Mixin Class – Mapping as inbound properties
- 23. JSON in Mule •JSON • The JSON transformers are in the • org.mule.module.json.transformers • package. They provide the ability to work with JSON documents and bind them automatically to Java objects
- 24. Mule Components andTransformers
- 25. Resources • www.json.org • http://www.w3schools.com/json/json_intro.a sp •http://www.tutorialspoint.com/json/index.ht m • http://www.tutorialspoint.com/jackson/jackso n_quick_guide.htm • http://www.baeldung.com/jackson- annotations