直接说结论方便一目了然:

1. 简单的直接Bean.class

2. 复杂的用 TypeReference 

这样就完事了。

 

public class TestMain2 {
    public static void main(String[] args) throws JsonProcessingException {


        /*
          首先说明 readValue 针对String 一共有3个重载,如下:

          public <T> T readValue(String content, Class<T> valueType);简单型,就是 直接  UserBase.class 就可。

          public <T> T readValue(String content, TypeReference<T> valueTypeRef);复杂的可以 用这个

          public <T> T readValue(String content, JavaType valueType);这个书写起来比较麻烦,就不说明了,不常用,前2个已经彻底满足了。

         */

        ObjectMapper objectMapper = new ObjectMapper();
        String json1 = "{\"userName\":\"小李飞刀\",\"age\":18,\"addTime\":1591851786568}";
        String json2 = "[{\"userName\":\"小李飞刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飞刀2\",\"age\":182,\"addTime\":1234}]";


        //1.最简单的常用方法,直接将一个json转换成实体类
        UserBase userBase1 = objectMapper.readValue(json1, UserBase.class); //简单类型的时候,这样最方便
        System.out.println("简单: " + userBase1.getUserName());
        //用 TypeReference 也可以,但是麻烦 不如第一种直接 TypeReference 主要针对繁杂类型
        //UserBase userBase2 = objectMapper.readValue(json1, new TypeReference<UserBase>() {});



        //2.把Json转换成map,必须使用 TypeReference , map的类型定义 可以根据实际情况来定,比如若值都是String那么就可以 Map<String, String>
        Map<String, Object> userBaseMap =  objectMapper.readValue(json1, new TypeReference<Map<String, Object>>() {});
        System.out.println("map: " + userBaseMap.get("userName"));


        //3.list<Bean>模式,必须用 TypeReference
        List<UserBase> userBaseList = objectMapper.readValue(json2, new TypeReference<List<UserBase>>() {});
        System.out.println("list: " + userBaseList.get(0).getUserName());


        //4.Bean[] 数组,必须用 TypeReference
        UserBase[] userBaseAry = objectMapper.readValue(json2, new TypeReference<UserBase[]>() {});
        System.out.println("ary: " + userBaseAry[0].getUserName());
    }
}

 

 

 

 

 

==========================================================下面是详细的秒数==================================================

方法1,针对简单类型,有实体类的json,直接转换成单个实体类,上代码:

首先是一个实体类UserBase:

public class UserBase {

    /**
     * 用户名
     */
    private String userName;


    /**
     * 年龄
     */
    private Integer age;


    /**
     * 增加时间
     */
    private Date addTime;

    public String getUserName() {
        return userName;
    }

    public void setUserName(String userName) {
        this.userName = userName;
    }

    public Integer getAge() {
        return age;
    }

    public void setAge(Integer age) {
        this.age = age;
    }

    public Date getAddTime() {
        return addTime;
    }

    public void setAddTime(Date addTime) {
        this.addTime = addTime;
    }
}

 

 

 

public class TestMain2 {
public static void main(String[] args) throws JsonProcessingException {

/*
1.最简单的常用方法,直接将一个json转换成实体类
*/
ObjectMapper objectMapper = new ObjectMapper();
String json = "{\"userName\":\"小李飞刀\",\"age\":18,\"addTime\":1591851786568}";

//这里需要这么写,
UserBase userBase = objectMapper.readValue(json, UserBase.class); //简单类型的时候,这样最方便

UserBase userBase1 = objectMapper.readValue(json, new TypeReference<UserBase>() {}); //这样也可以,TypeReference主要针对复杂类型

System.out.println(userBase.getUserName());
System.out.println(userBase1.getUserName());
}
}

 

 

 

 

 

2. 若是map呢, 应该怎么用会怎样??以下开始举例:

 

public class TestMain3 {
    public static void main(String[] args) throws JsonProcessingException {
        ObjectMapper objectMapper = new ObjectMapper();

        //注意这里键名和键值都是String类型的
        Map<String, String> map = new HashMap<>();
        map.put("name", "小李飞刀");
        map.put("sex", "男");

        //先生成一个json方便理解
        String json = objectMapper.writeValueAsString(map);
        System.out.println(json);//{"sex":"男","name":"小李飞刀"}

        /*
         开始反序列化
         */
        Map<String,String> map1 = new HashMap<>();
        //我之前是这么写的直接 Map.class 总觉得不妥,感觉他用了默认的推断,然后程序也能正常运行
        map1 = objectMapper.readValue(json, Map.class);
        System.out.println(map1.get("name"));


    }
}

 

 

 

 

 

 

 

 

 

 

 

我们调试一下代码看下,

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

显然这种方式,不好,1. 编译时 会有 泛型警告。2. 不完美 虽然能用,但是不要这样。那么 Map时 应该如何 反序列化呢,看如下代码:

 

 

map1 = objectMapper.readValue(json, new TypeReference<Map<String, String>>() {}); //用这个

 

 

我们来调试看下,这次是否清晰说明了 map1的类型。

 

 

 

 

 

 

 

 

 

 

 

好了,干完了 map,接下来还有一个常用的List<Bean> ,我们调试看下:

 

public class TestMain4 {
    public static void main(String[] args) throws JsonProcessingException {
        ObjectMapper objectMapper = new ObjectMapper();

        String json = "[{\"userName\":\"小李飞刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飞刀2\",\"age\":182,\"addTime\":1234}]";

        List<UserBase> userBaseList = objectMapper.readValue(json, List.class);

        System.out.println(userBaseList.get(0).getUserName());
    }
}

 

 

 

 先不调试了,需要这么写:

List<UserBase> userBaseList = objectMapper.readValue(json, new TypeReference<List<UserBase>>() {});

 

 

 

 

上面是直接把Json, 转换成 List<bean>,关于直接转换成 Bean数组的问题即,直接把 json转换成 bean[],也是用 TypeReference 就可:看如下代码:

 

public class TestMain4 {
    public static void main(String[] args) throws JsonProcessingException {
        ObjectMapper objectMapper = new ObjectMapper();

        String json = "[{\"userName\":\"小李飞刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飞刀2\",\"age\":182,\"addTime\":1234}]";

        UserBase[] userBaseAry = objectMapper.readValue(json, new TypeReference<UserBase[]>() {});

        System.out.println(userBaseAry[0].getUserName());
    }
}

 

 

 

===================================================================================================

由于 objectMapper 一共有3个重载,我们已经讲了 2个,还有一个 我们看下他的用法,这个不常用,以后尽量少用 会不用,写代码 没有上面2种 来的直接和方便。

 

 

 

 

复制代码
ObjectMapper mapper = new ObjectMapper();
  // 排除json字符串中实体类没有的字段
  objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false);



String json = "[{\"name\":\"a\",\"password\":\"345\"},{\"name\":\"b\",\"password\":\"123\"}]";
        
//第一种方法
List<User> list = mapper.readValue(json, new TypeReference<List<User>>(){/**/});
        
//第二种方法
JavaType javaType = mapper.getTypeFactory().constructCollectionType(List.class, User.class);
List<User> list2 = mapper.readValue(json, javaType);
复制代码
 

Jackson,我感觉是在Java与Json之间相互转换的最快速的框架,当然Google的Gson也很不错,但是参照网上有人的性能测试,看起来还是Jackson比较快一点

    Jackson处理一般的JavaBean和Json之间的转换只要使用ObjectMapper 对象的readValue和writeValueAsString两个方法就能实现。但是如果要转换复杂类型Collection如 List<YourBean>,那么就需要先反序列化复杂类型 为泛型的Collection Type。

如果是ArrayList<YourBean>那么使用ObjectMapper 的getTypeFactory().constructParametricType(collectionClass, elementClasses);

如果是HashMap<String,YourBean>那么 ObjectMapper 的getTypeFactory().constructParametricType(HashMap.class,String.class, YourBean.class);

复制代码
public final ObjectMapper mapper = new ObjectMapper(); 
     
    public static void main(String[] args) throws Exception{  
        JavaType javaType = getCollectionType(ArrayList.class, YourBean.class); 
        List<YourBean> lst =  (List<YourBean>)mapper.readValue(jsonString, javaType); 
    }   
       /**   
        * 获取泛型的Collection Type  
        * @param collectionClass 泛型的Collection   
        * @param elementClasses 元素类   
        * @return JavaType Java类型   
        * @since 1.0   
        */   
    public static JavaType getCollectionType(Class<?> collectionClass, Class<?>... elementClasses) {   
        return mapper.getTypeFactory().constructParametricType(collectionClass, elementClasses);   
    }
复制代码
 复杂类型转换

复制代码
ObjectMapper objectMapper = new ObjectMapper();
// 排除json字符串中实体类没有的字段
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
PledgeCertificate pledgeCertificate;
Pledge pledge = new Pledge();
try {
      pledgeCertificate = objectMapper.readValue(requestBody, PledgeCertificate.class);
      pledge = objectMapper.readValue(requestBody, Pledge.class);
     Map<String, Object> map = objectMapper.readValue(requestBody, Map.class);
      String writeValueAsString = objectMapper.writeValueAsString(map.get("obligee"));
      JavaType javaType = objectMapper.getTypeFactory().constructParametricType(List.class, Obligee.class);
      List<Obligee> obligee = objectMapper.readValue(writeValueAsString,javaType);
}catch (IOException e) {
      return “转换错误”;
}

数据格式:(实体类没有obligee字段,先排除)
{
“certificate”:"豫(2016)郑州市不动产权第0026369号",
“debtEnd”: "yyyy-mm-dd",
“debtStart”: "yyyy-mm-dd",
“pledgeType”: "2",
“maxDebtAmount”:88,
“registType”:"0201",
“obligee” :[{
"obligeeType":"1","name":张三","certType":"1","certNo":"4114211..."},{
"obligeeType":"1","name":"李四","certType":"1","certNo":"4114211..."}]
}
复制代码
 

{

“certificate”:"豫(2016)郑州市不动产权第0026369号",

“debtEnd”: "yyyy-mm-dd",

“debtStart”: "yyyy-mm-dd",

“pledgeType”: "2",

“maxDebtAmount”:88,

“registType”:"0201",

“obligee” :[{

"obligeeType":"1","name":张三","certType":"1","certNo":"4114211..."},{

"obligeeType":"1","name":"李四","certType":"1","certNo":"4114211..."}]

}

既然我已经踏上这条道路,那么,任何东西都不应妨碍我沿着这条路走下去!!!!!!!!!! !!! ! !! ! 个人公众号《后端技术开发之路》,欢迎您关注!

 

 

Jackson 处理复杂类型(List,map)两种方法
 

方法一:

String jsonString="[{'id':'1'},{'id':'2'}]";  
ObjectMapper mapper = new ObjectMapper();  
JavaType javaType = mapper.getTypeFactory().constructParametricType(List.class, Bean.class);  
//如果是Map类型  mapper.getTypeFactory().constructParametricType(HashMap.class,String.class, Bean.class);  
List<Bean> lst =  (List<Bean>)mapper.readValue(jsonString, javaType);   
 

方法二:

String jsonString="[{'id':'1'},{'id':'2'}]";  
ObjectMapper mapper = new ObjectMapper();  
List<Bean> beanList = mapper.readValue(jsonString, new TypeReference<List<Bean>>() {});   

 

 

 

 

posted on 2020-06-12 12:19  del88  阅读(58261)  评论(1编辑  收藏  举报