如何创建Java方法来解析大型JSON文件

import com.fasterxml.jackson.core.JsonFactory;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.JsonToken;

import java.io.File;
import java.io.IOException;

public class JsonParserExample {
    public static void parseJsonFile(String filePath) {
        try {
            JsonFactory jsonFactory = new JsonFactory();
            JsonParser jsonParser = jsonFactory.createParser(new File(filePath));

            while (jsonParser.nextToken() != JsonToken.END_OBJECT) {
                String fieldName = jsonParser.getCurrentName();
                jsonParser.nextToken();

                if ("data".equals(fieldName)) {
                    while (jsonParser.nextToken() != JsonToken.END_ARRAY) {
                        // 解析data字段中的每个对象
                        while (jsonParser.nextToken() != JsonToken.END_OBJECT) {
                            String dataFieldName = jsonParser.getCurrentName();
                            jsonParser.nextToken();

                            // 根据字段名解析对应的值
                            if ("id".equals(dataFieldName)) {
                                String id = jsonParser.getText();
                                System.out.println("ID: " + id);
                            } else if ("name".equals(dataFieldName)) {
                                String name = jsonParser.getText();
                                System.out.println("Name: " + name);
                            } else if ("age".equals(dataFieldName)) {
                                int age = jsonParser.getIntValue();
                                System.out.println("Age: " + age);
                            }
                        }
                    }
                }
            }

            jsonParser.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) {
        String filePath = "path/to/your/json/file.json";
        parseJsonFile(filePath);
    }
}

{
  "data": [
    {
      "id": "1",
      "name": "John",
      "age": 25
    },
    {
      "id": "2",
      "name": "Jane",
      "age": 30
    }
  ]
}