array(2) { ["docs"]=> array(0) { } ["count"]=> int(0) } 111string(0) "" int(1) int(10) int(70) int(8640000) string(13) "likecs_art_db" array(1) { ["query"]=> array(1) { ["match_all"]=> object(stdClass)#28 (0) { } } } array(1) { ["createtime.keyword"]=> array(1) { ["order"]=> string(4) "desc" } } int(10) int(0) int(8640000) array(2) { ["docs"]=> array(0) { } ["count"]=> int(0) } Jackson json序列化和反序列化工具类 - 爱码网
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JavaType;
import com.fasterxml.jackson.databind.ObjectMapper;

import java.util.List;

/**
 * Jackson json序列化和反序列化工具类
 * Created by macro on 2018/4/26.
 */
public class JsonUtil {

    // 定义jackson对象
    private static final ObjectMapper MAPPER = new ObjectMapper();

    /**
     * 将对象转换成json字符串。
     */
    public static String objectToJson(Object data) {
        try {
            String string = MAPPER.writeValueAsString(data);
            return string;
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
        return null;
    }
    
    /**
     * 将json结果集转化为对象
     * 
     * @param jsonData json数据
     * @param beanType 对象中的object类型
     */
    public static <T> T jsonToPojo(String jsonData, Class<T> beanType) {
        try {
            T t = MAPPER.readValue(jsonData, beanType);
            return t;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }
    
    /**
     * 将json数据转换成pojo对象list
     */
    public static <T>List<T> jsonToList(String jsonData, Class<T> beanType) {
        JavaType javaType = MAPPER.getTypeFactory().constructParametricType(List.class, beanType);
        try {
            List<T> list = MAPPER.readValue(jsonData, javaType);
            return list;
        } catch (Exception e) {
            e.printStackTrace();
        }
        
        return null;
    }
    
}

 

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