有没有办法用Jackson跳过CSV文件中不需要的字段？

import com.fasterxml.jackson.annotation.JsonView;
import com.fasterxml.jackson.databind.MappingIterator;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.csv.CsvMapper;
import com.fasterxml.jackson.dataformat.csv.CsvSchema;

import java.io.File;
import java.io.IOException;
import java.util.List;

public class CsvReader {
    public static void main(String[] args) throws IOException {
        CsvMapper csvMapper = new CsvMapper();
        CsvSchema schema = csvMapper.schemaFor(Data.class).withHeader().withColumnReordering(true);
        ObjectMapper objectMapper = new ObjectMapper();

        File csvFile = new File("data.csv");
        MappingIterator<Data> dataIterator = csvMapper.readerFor(Data.class).with(schema).readValues(csvFile);
        List<Data> dataList = dataIterator.readAll();

        for (Data data : dataList) {
            // 使用@JsonView注解指定需要序列化的字段
            String json = objectMapper.writerWithView(Views.Public.class).writeValueAsString(data);
            System.out.println(json);
        }
    }

    public static class Data {
        @JsonView(Views.Public.class)
        public String field1;

        @JsonView(Views.Internal.class)
        public String field2;

        // 其他字段...

        // Getter和Setter方法...
    }

    public static class Views {
        public static class Public {
        }

        public static class Internal extends Public {
        }
    }
}