我在country
dababase中有两个表city
和mysql
,我会查询以返回List<myDTO>
这样的记录:
1,france,1,paris
1,france,2,marseille
1,france,3,lion
....
MyDTO
public class MyDTO {
public Integer idLvl1;
public String nameLvl1;
public Integer idLvl2;
public String nameLvl2;
public MyDTO(Integer idLvl1, String nameLvl1, Integer idLvl2, String nameLvl2) {
this.idNiv1 = idLvl1;
this.nomNiv1 = nameLvl1;
this.idNiv2 = idLvl2;
this.nomNiv2 = nameLvl2;
}
如何将其转换为json对象以避免重复的国家/地区:
[
{"idNiv1" :1,"nameLvl1":"France","cities":[{"idNiv2":1,"nameLvl2":"paris"}]}
{"idNiv1" :1,"nameLvl1":"France","cities":[{"idNiv2":2,"nameLvl2":"marseille"}]}
{"idNiv1" :1,"nameLvl1":"France","cities":[{"idNiv2":3,"nameLvl2":"lion"}]}
....
]
到
[
{
"idNiv1" :1,
"nameLvl1":"France",
"cities":[
{ "idNiv2":1,"nameLvl2":"paris" } ,
{ "idNiv2":2,"nameLvl2":"marseille" } ,
{ "idNiv2":3,"nameLvl2":"lion" }
]
}
....
]
答案 0 :(得分:2)
在这种情况下,您可以使用Google的Gson:
models
<强>更新强>
您可以调用public String getJSONFromResultSet(ResultSet rs, String key) {
Map json = new HashMap();
List list = new ArrayList();
if (rs != null) {
try {
ResultSetMetaData mData = rs.getMetaData();
while (rs.next()) {
Map<String, Object> columns = new HashMap<String, Object>();
for (int columnIndex = 1; columnIndex <= mData.getColumnCount(); columnIndex++) {
if (rs.getString(mData.getColumnName(columnIndex)) != null) {
columns.put(mData.getColumnLabel(columnIndex),
rs.getString(mData.getColumnName(columnIndex)));
} else {
columns.put(mData.getColumnLabel(columnIndex), "");
}
}
list.add(columns);
}
} catch (SQLException e) {
e.printStackTrace();
}
json.put(key, list);
}
return new Gson().toJson(json);
}
方法,如下所示:
getJSONFromResultSet
答案 1 :(得分:1)
为国家/地区和城市创建其他课程。将平面结构转换为国家和城市的嵌套结构,如下所示:
public class Country {
Integer idLvl1;
String nameLvl1;
public Country(Integer idLvl1, String nameLvl1) {
}
List<City> cities;
}
public class City {
Integer idLvl2;
String nameLvl2;
public City(Integer idLvl2, String nameLvl2) {
}
}
public class MyDTOConverter {
public static Collection<Country> covert(List<MyDTO> dtos){
Map<Integer, Country> countries = new LinkedHashMap<Integer, Country>();
for (MyDTO myDTO : dtos) {
//First adding the country if it doesn't exist
if (!countries.containsKey(myDTO.idLvl1)){
countries.put(myDTO.idLvl1, new Country(myDTO.idLvl1, myDTO.nameLvl1));
}
//Adding city in the existing country.
countries.get(myDTO.idLvl1).cities.add(new City(myDTO.idLvl2, myDTO.nameLvl2));
}
return countries.values();
}
}
最终的国家集合将产生所需的JSON。
答案 2 :(得分:0)
您可以在MyDTO上编写Wrapper DTO,然后使用Google的Gson等任何可用的json库转换为所需的JSON格式。
此致 Sakumar