Analysis of the technical principles of JSON in Java in the Java class library

In the Java library, technical principles using JavaScript Object Notation involve transforming data structures and objects into string for transmission and storage.JSON is a lightweight data exchange format. It is easy to read and write, and it is also convenient for machine analysis and generation.For Java programmers, when processing JSON data, various JSON processing methods provided by the Java class library can be used. The JSON technology principles in the Java class library can be implemented in the following ways: 1. Analysis and generation of JSON data: APIs that provide analysis and generating JSON data in the Java class library.For example, the JSONObject and JSONARRAY classes provided by the Org.json package can analyze the JSON string and convert it into Java objects.Instead, you can also use these classes to convert Java objects into json string.In this way, JSON data can be easily operated in the Java program. 2. The serialization and derivativeization of JSON data: The JSON technical principles in the Java class library also include the process of serializing the Java object to the JSON string, and the process of turning the JSON string into the Java object.During the serialization process, the various attributes of the Java object will be converted into the corresponding JSON key value pair.The process of deepertization is to convert JSON key values to the attributes of the Java object.Through serialization and desertation, JSON data can be easily transmitted and stored in the Java program. 3. Check and verification of JSON data: The Java class library provides the function of verification and verification of JSON data.By using the JSONTOKENER and JSonsChema classes in the Org.json package, the structure and format of the JSON data can be verified whether the structure and format of the JSON data conform to specific rules.For example, you can verify whether the JSON data contains specific fields and ensure that the type of field is correct.This guarantees the effectiveness and reliability of processing JSON data. 4. Conversion and formatting of JSON data: The JSON technical principles in the Java class library also include the function of converting Java objects into JSON data and formatting and transforming JSON data.By using APIs with various JSON format options, the styles and structures of JSON output can be customized.This allows developers to customize the appearance and display of JSON data according to their needs. By using the JSON technology principle in the Java class library, developers can easily process and operate JSON data in the Java program.The following is an example code that demonstrates how to use the JSON class library in Java to analyze and generate JSON data: import org.json.JSONArray; import org.json.JSONObject; public class JsonExample { public static void main(String[] args) { // Analysis of json string String jsonString = "{\"name\":\"John\", \"age\":30, \"city\":\"New York\"}"; JSONObject jsonObject = new JSONObject(jsonString); String name = jsonObject.getString("name"); int age = jsonObject.getInt("age"); String city = jsonObject.getString("city"); System.out.println("Name: " + name + ", Age: " + age + ", City: " + city); // Generate json string JSONObject newJsonObject = new JSONObject(); newJsonObject.put("name", "Alice"); newJsonObject.put("age", 25); newJsonObject.put("city", "London"); String newJsonString = newJsonObject.toString(); System.out.println("New JSON string: " + newJsonString); } } The above code first analyzes a JSON string, obtains the name, Age, and City fields, and outputs it to the console.Then, the sample code generates a new JSON object and inserts the name, Age, and City field into it.Finally, convert the generated JSON objects into string and output them to the console. This is just a simple example. The JSON processing function provided in the Java class library is more powerful and flexible.Developers can use the suitable JSON processing method to analyze, generate, serialize, derive serialization, verification, conversion and formatting JSON data according to their own needs.