FastJson、Jackson处理Json转换对象、复杂对象问题

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FastJson、Jackson处理Json转换对象、复杂对象问题

​ 在开发过程中最常见的就是Json格式转化问题。包括Json转对象,转数据,转Map等等。常见处理json的类库FastJson,Jackson为此我针对他们做了一些总结,如有欠缺可以留言。希望可以帮助大家。

FastJson

准备两个套娃的类
@Data
@AllArgsConstructor
@NoArgsConstructor
public class FastJsonPerson {
    private String name;
    private Integer agexx;
    private String other;
    private List<Card> cards;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class Card {
    private String cardName;
    private Date cardTime;
}

1.对象转字符串

    @Test
    public void transformString(){
        FastJsonPerson person;
        person = new FastJsonPerson();
        person.setName("兵长");
        person.setAgexx(18);
        person.setOther("其他要被屏蔽");
        person.setCards(Arrays.asList(new Card("招商",new Date()),
                new Card("浦发",new Date())));
        String personString = JSON.toJSONString(person);
        System.out.println(personString);
    }
// 结果:{"agexx":18,"cards":[{"cardName":"招商","cardTime":1631188795258},{"cardName":"浦发","cardTime":1631188795258}],"name":"兵长","other":"其他要被屏蔽"}

在转化的过程不想要某个字段可以加上@JSONField(serialize = false),注意不是@jsonIgnore,那个是jackson的。

在转化的过程中还想更换字段别名@JSONField(name="xxx")

格式化日期@JSONField(format="yyyy-MM-dd HH:mm:ss")

接下来改变对应的实体类完成上述三个要求。

@Data
@AllArgsConstructor
@NoArgsConstructor
public class FastJsonPerson {
    private String name;
    @JSONField(name="age")
    private Integer agexx;
    @JSONField(serialize = false)
    private String other;
    private List<Card> cards;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class Card {
    private String cardName;
    @JSONField(format="yyyy-MM-dd HH:mm:ss")
    private Date cardTime;
}

再次执行上边的测试方法,你会发现结果变成;agexx--->age ,时间格式变成了正常的,other字段被忽略。

{"age":18,"cards":[{"cardName":"招商","cardTime":"2021-09-09 20:12:26"},{"cardName":"浦发","cardTime":"2021-09-09 20:12:26"}],"name":"兵长"}

2.字符串转对象,集合对象;

    @Test
    public void stringToObject() {
        //针对于简单的字符串,我们可以通过转成Array,然后通过名字获取内容。
        String s = "{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"}";
        JSONObject object = JSON.parseObject(s);
        System.out.println(object.get("age"));
        System.out.println(object.get("name"));
        System.out.println(object.get("cards"));
        String list = "[{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"},{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"}]";
        List<FastJsonPerson> personList = JSON.parseArray(list, FastJsonPerson.class);
        System.out.println(personList);
    }

3.字符串转Map

    @Test
    public void stringToMap(){
        String s = "{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"}";
        Map map = (Map<String,Object>)JSON.parseObject(s);
        System.out.println(map);
    }

Jackson

准备两个套娃类
@Data
@NoArgsConstructor
@AllArgsConstructor
public class JacksonCard {
    private String cardName;
    private Date cardTime;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class JacksonPerson {
    private String name;
    private Integer agexx;
    private String other;
    private List<JacksonCard> cards;
}

1.对象转字符串

@SneakyThrows
@Test
public void transformToString (){
    JacksonPerson person = new JacksonPerson();
    person.setName("兵长");
    person.setAgexx(18);
    person.setOther("其他要被屏蔽");
    person.setCards(Arrays.asList(new JacksonCard("招商",new Date()),
                                  new JacksonCard("浦发",new Date())));
    ObjectMapper objectMapper = new ObjectMapper();
    System.out.println(objectMapper.writeValueAsString(person));
}
// 结果:{"name":"兵长","agexx":18,"other":"其他要被屏蔽","cards":[{"cardName":"招商","cardTime":1631242139184},{"cardName":"浦发","cardTime":1631242139184}]}

在转化的过程不想要某个字段可以加上@JsonIgnore

在转化的过程中还想更换字段别名@JsonProperty("age")

格式化日期@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss", timezone = "GMT+8")

根据上述描述改造对应的实体类

@Data
@NoArgsConstructor
@AllArgsConstructor
public class JacksonPerson {
    private String name;
    @JsonProperty("age")
    private Integer agexx;
    @JsonIgnore
    private String other;
    private List<JacksonCard> cards;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class JacksonCard {
    private String cardName;
    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss", timezone = "GMT+8")
    private Date cardTime;
}

2.字符串转对象,对象集合,复杂对象

@Test
public void transformToObject() throws IOException {
    String s = "{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"}";
    String list = "[{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"},{\"age\":18,\"cards\":[{\"cardName\":\"招商\",\"cardTime\":\"2021-09-09 20:12:26\"},{\"cardName\":\"浦发\",\"cardTime\":\"2021-09-09 20:12:26\"}],\"name\":\"兵长\"}]";
    ObjectMapper objectMapper = new ObjectMapper();
    System.out.println(objectMapper.readValue(s, JacksonPerson.class));
    List<JacksonPerson> personList = (List<JacksonPerson>)objectMapper.readValue(list, objectMapper.getTypeFactory().constructParametricType(List.class, JacksonPerson.class));
    System.out.println(personList);
  // 如果多层套娃,你可以使TypeReference,万能想要的都有
    List<Map<String,Object>> personList1 = objectMapper.readValue(list, new TypeReference<List<Map<String,Object>>>(){});
    System.out.println(personList1);
}

下边是JsonUtils工具类。

package com.cn.zj.json;

import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import lombok.extern.slf4j.Slf4j;
import org.springframework.util.StringUtils;

import java.text.SimpleDateFormat;

/**
 * @description:
 * @author: wangdakai
 * @date: 2021/9/10
 */
@Slf4j
public class JsonUtils {
    private  static ObjectMapper objectMapper = new ObjectMapper();
    static {
        //序列化的时候序列对象的所有属性
        objectMapper.setSerializationInclusion(JsonInclude.Include.ALWAYS);

        //反序列化的时候如果多了其他属性,不抛出异常
        objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);

        //如果是空对象的时候,不抛异常
        objectMapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false);

        //取消时间的转化格式,默认是时间戳,可以取消,同时需要设置要表现的时间格式
        objectMapper.configure(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS, false);
        objectMapper.setDateFormat(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"));
    }

    /**
     * 对象转Json
     * @param obj
     * @param <T>
     * @return
     */
    public static <T>String objectToJson(T obj){
        if(obj == null){
            return null;
        }
        try {
            return obj instanceof String ? (String) obj : objectMapper.writeValueAsString(obj);
        } catch (Exception e) {
            log.warn("Parse Object to Json error",e);
            e.printStackTrace();
            return null;
        }
    }

    /**
     * json转对象
     * @param src
     * @param clazz
     * @param <T>
     * @return
     */
    public static <T>T jsonToObject(String src,Class<T> clazz){
        if(StringUtils.isEmpty(src) || clazz == null){
            return null;
        }
        try {
            return clazz.equals(String.class) ? (T) src : objectMapper.readValue(src,clazz);
        } catch (Exception e) {
            log.warn("Parse Json to Object error",e);
            e.printStackTrace();
            return null;
        }
    }

    /**
     * json转想要的对象;应对各种复杂格式的对象很万能。
     * @param src
     * @param typeReference
     * @param <T>
     * @return
     */
    public static <T>T jsonToObject(String src, TypeReference<T> typeReference){
        if(StringUtils.isEmpty(src) || typeReference == null){
            return null;
        }
        try {
            return (T)(typeReference.getType().equals(String.class) ? src : objectMapper.readValue(src, typeReference));
        } catch (Exception e) {
            log.warn("Parse Json to Object error",e);
            e.printStackTrace();
            return null;
        }
    }

    /**
     * json转成对象
     * @param str
     * @param collectionClass
     * @param elementClasses
     * @param <T>
     * @return
     */
    public static <T> T jsonToTransfer(String str, Class<?> collectionClass, Class<?>... elementClasses) {
        try {
            return (T)objectMapper.readValue(str, objectMapper.getTypeFactory().constructParametricType(collectionClass, elementClasses));
        } catch (Exception e) {
            log.warn("Parse Json to Object error",e);
            e.printStackTrace();
        }
        return null;
    }
}

另外也可以用其他人写好的工具包,https://hutool.cn/docs/#/json...感性去的可以去看看。如果只是处理json就没必要,里边的东西太多。人生一世难得糊涂。

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