Jackson 动态过滤属性，编程式过滤对象中的属性

场景:有时候我们做系统的时候，比如两个请求，返回同一个对象，但是需要的返回字段并不相同。

常见与写前端接口的时候，尤其是手机端，一般需要什么数据就返回什么样的数据。此时对于返回同一个对象我们就要动态过滤所需要的字段...

Spring MVC 默认使用转json框架是 jackson。 大家也知道， jackson 可以在实体类内加注解，来指定序列化规则，但是那样比较不灵活，不能实现我们目前想要达到的这种情况

下面用编程式的方式实现过滤字段.

先写个json工具类：

public class JsonUtilJackson {

    private static final String DEFAULT_DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
    private static final ObjectMapper mapper;

    JacksonJsonFilter jacksonFilter = new JacksonJsonFilter();

    static {
        SimpleDateFormat dateFormat = new SimpleDateFormat(DEFAULT_DATE_FORMAT);
        mapper = new ObjectMapper();
        mapper.setDateFormat(dateFormat);
        // 允许对象忽略json中不存在的属性
        mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
        // 允许出现特殊字符和转义符
        mapper.configure(Feature.ALLOW_UNQUOTED_CONTROL_CHARS, true);
        // 允许出现单引号
        mapper.configure(Feature.ALLOW_SINGLE_QUOTES, true);
        // 忽视为空的属性
        mapper.setSerializationInclusion(Include.NON_EMPTY);
    }

    public static JsonUtilJackson me() {
        JsonUtilJackson jsonUtil = new JsonUtilJackson();
        return jsonUtil;
    }

    public void filter(Class<?> clazz, String include, String filter) {
        if (clazz == null)
            return;
        if (StringUtils.isNotBlank(include)) {
            jacksonFilter.include(clazz, include.split(","));
        }
        if (StringUtils.isNotBlank(filter)) {
            jacksonFilter.filter(clazz, filter.split(","));
        }
        mapper.addMixIn(clazz, jacksonFilter.getClass());
    }

    public String toJson(Object obj) {
        try {
            mapper.setFilterProvider(jacksonFilter);
            return mapper.writeValueAsString(obj);
        } catch (Exception e) {
            throw new RuntimeException("转换json字符失败!");
        }
    }

    public <T> T toObject(String json, Class<T> clazz) {
        try {
            return mapper.readValue(json, clazz);
        } catch (IOException e) {
            e.printStackTrace();
            throw new RuntimeException("将json字符转换为对象时失败!");
        }
    }

    public <T> T toObject(String json, TypeReference<T> clazz) {
        try {
            return mapper.readValue(json, clazz);
        } catch (IOException e) {
            e.printStackTrace();
            throw new RuntimeException("将json字符转换为对象时失败!");

        }
    }

}

然后写个JsonFilter

import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;

import com.fasterxml.jackson.annotation.JsonFilter;
import com.fasterxml.jackson.core.JsonGenerator;
import com.fasterxml.jackson.databind.SerializerProvider;
import com.fasterxml.jackson.databind.ser.BeanPropertyFilter;
import com.fasterxml.jackson.databind.ser.FilterProvider;
import com.fasterxml.jackson.databind.ser.PropertyFilter;
import com.fasterxml.jackson.databind.ser.PropertyWriter;
import com.fasterxml.jackson.databind.ser.impl.SimpleBeanPropertyFilter;

@SuppressWarnings("deprecation")
@JsonFilter("JacksonFilter")
public class JacksonJsonFilter extends FilterProvider{

    Map<Class<?>, Set<String>> includeMap = new HashMap<>();
    Map<Class<?>, Set<String>> filterMap = new HashMap<>();

    public void include(Class<?> type, String[] fields) {
        addToMap(includeMap, type, fields);
    }

    public void filter(Class<?> type, String[] fields) {
        addToMap(filterMap, type, fields);
    }

    private void addToMap(Map<Class<?>, Set<String>> map, Class<?> type, String[] fields) {
        Set<String> filedSet=new HashSet<>();
        if(fields!=null && fields.length>0){
            for(String filed : fields){
                filedSet.add(filed);
            }
        }
        map.put(type, filedSet);
    }

    @Override
    public BeanPropertyFilter findFilter(Object filterId) {
        throw new UnsupportedOperationException("Access to deprecated filters not supported");
    }

    @Override
    public PropertyFilter findPropertyFilter(Object filterId, Object valueToFilter) {

        return new SimpleBeanPropertyFilter() {

            @Override
            public void serializeAsField(Object pojo, JsonGenerator jgen, SerializerProvider prov, PropertyWriter writer)
                    throws Exception {
                if (apply(pojo.getClass(), writer.getName())) {
                    writer.serializeAsField(pojo, jgen, prov);
                } else if (!jgen.canOmitFields()) {
                    writer.serializeAsOmittedField(pojo, jgen, prov);
                }
            }
        };
    }

    public boolean apply(Class<?> type, String name) {
        Set<String> includeFields = includeMap.get(type);
        Set<String> filterFields = filterMap.get(type);
        if (includeFields != null && includeFields.contains(name)) {
            return true;
        } else if (filterFields != null && !filterFields.contains(name)) {
            return true;
        } else if (includeFields == null && filterFields == null) {
            return true;
        }
        return false;
    }

}

最后就是我们测试了

    public static void main(String[] args) throws Exception {

        A a=new A();
        a.setName("AAAAA");
        a.setNo("011111");

        Role r=new Role();
        r.setName("zhangsan");
        r.setCode("11");
        r.setCreateTime(new Date().getTime());
        r.setRemark("who am i");

        a.setR(r);

        JsonUtilJackson jtk= new JsonUtilJackson();
        // 设置转换 Article 类时，只包含 id, name
        jtk.filter(A.class, "no,r", null);
        jtk.filter(Role.class, "name,remark", null);
        String ss=jtk.toJson(a);
        System.out.println(ss);

    }

结果:{"no":"011111","r":{"name":"zhangsan","remark":"who am i"}}

参考:https://my.oschina.net/diamondfsd/blog/836727?p=3&temp=1490578919756#blog-comments-list