类(java json的解析和生成):
import java.util.HashMap;
import java.util.Map; import net.sf.json.JSONArray;
import net.sf.json.JSONObject; public class JsonTest {
public String jsonToString(){
JSONObject users = new JSONObject();
JSONArray array = new JSONArray();
Map map = new HashMap();
map.put("name", "zhangsan");
map.put("age", 13);
map.put("likeRun", Boolean.TRUE);
map.put("height", 158.9);
JSONObject json = new JSONObject();
json.putAll(map);
array.add(json);
Map map2 = new HashMap();
map2.put("name", "lisi");
map2.put("age", 18);
map2.put("likeRun", Boolean.FALSE);
map2.put("height", 180.5);
JSONObject json2 = new JSONObject();
json2.putAll(map2);
array.add(json2);
users.put("users", array);
return users.toString();
}
public void jsonToObject(String str){
//获取json对象
JSONObject obj = JSONObject.fromObject(str);//这个方法可以将json格式的Map String JaveBean DynaBean转化为json对象
JSONArray array = obj.getJSONArray("users");
for(int i = 0 ; i < array.size(); i ++ ){
Map map = (Map) array.get(i);
map.get("name");
map.get("age");
}
}
}
js 解析json:
var jsonTest = document.getElementById("jsonTest");
var jsonjs = eval("(" + jsonTest.value+ ")");
jsonjs的值:
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" 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" 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