The core analysis of the technical core of the ‘BOON JSON’ framework in the Java class library

Boon Json is a fast, flexible and easy to use Java JSON library, which provides a powerful JSON processing function.This article will analyze the core of the BOON JSON framework in detail and provide some related Java code examples. The BOON JSON framework mainly includes the following core technologies: 1. Analysis and generation of JSON objects: BOON JSON provides the function of converting JSON data into Java objects, and the function of converting Java objects into JSON data.It uses Java's reflection mechanism to analyze JSON data and convert it to the corresponding Java object.The following is an example code that analyzes and generates JSON: import org.boon.json.JsonFactory; import org.boon.json.ObjectMapper; // Analysis of json String json = "{\"name\":\"John\", \"age\":30}"; ObjectMapper mapper = JsonFactory.create(); Map<String, Object> obj = mapper.readValue(json, Map.class); System.out.println (obj.get ("name"); // Output: John // Generate json Map<String, Object> data = new HashMap<>(); data.put("name", "John"); data.put("age", 30); String json = mapper.writeValueAsString(data); System.out.println (json); // Output: {"name": "John", "Age": 30} 2. JSON string operation: Boon Json provides a series of practical tool categories and methods for operating JSON string.For example, you can use the `JSONPARSER` class to parse the JSON string, and you can use the` jsonparser.getFieldValue` method to obtain the value of the specified field.The following is an example code that analyzes the json string: import org.boon.json.JsonParser; String json = "{\"name\":\"John\", \"age\":30}"; JsonParser parser = new JsonParser(); Object value = parser.getFieldValue(json, "name"); System.out.println (value); // Output: John 3. JSON path expression: BON JSON provides support from the JSON path expression. You can use an expression similar to XPath to locate and extract JSON data.Below is an example code using the JSON path expression: import org.boon.json.JsonParser; String json = "{\"name\":\"John\", \"age\":30, \"pets\":[{\"name\":\"Max\", \"type\":\"dog\"}]}"; JsonParser parser = new JsonParser(); Object value = parser.ptr("/pets/0/name").getValue(json); System.out.println (value); // Output: MAX 4. JSON serialization and derivativeization configuration options: BOON JSON provides a series of configuration options to customize the behavior of JSON serialization and derivativeization.For example, you can control whether the empty value field can be controlled by setting the `jsonparserFeature.include_empty`, or to ignore the section of the field by setting the` jsonparserfeature.ignore_case_.The following is an example code of the configuration item: import org.boon.json.JsonParserConfig; String json = "{\"name\":\"John\", \"age\":30, \"email\":null}"; JsonParserConfig config = new JsonParserConfig().setIncludeEmpty(true); JsonParser parser = new JsonParser(config); Object value = parser.getFieldValue(json, "email"); System.out.println (value); // Output: null The core of the BOON JSON framework enables developers to process JSON data more easily and can be flexibly configured according to the needs.Through the above examples, readers can quickly get started and understand the basic usage of BOON JSON.