fast-json.jar 解析json数据：一种json数据解析方式是这种，点击这里下载jsonfast.jar+fastjsonAPI文档
[
{
"id": 6378,
"title": "test",
"img": "http://image.jxvdy.com/2014/0929/5428d91c9e6dc8f78fd99_0.png",
"score": 0,
"description": "test",
"time": 1411963174
},
{
"id": 6142,
"title": "微电影多角度拍摄技巧（三）",
"img": "http://image.jxvdy.com/old/201409/24/11-54-15-17-1531.jpg",
"score": 0,
"description": "",
"time": 1411530850
},
{
"id": 6141,
"title": "微电影多角度拍摄技巧（一）",
"img": "http://image.jxvdy.com/old/201409/24/11-54-04-89-1531.jpg",
"score": 0,
"description": "",
"time": 1411530835
},
{
"id": 6140,
"title": "微电影多角度拍摄技巧（二）",
"img": "http://image.jxvdy.com/old/201409/24/11-49-54-18-1531.jpg",
"score": 0,
"description": "",
"time": 1411530552
},
{
"id": 4355,
"title": "施比受，更有福",
"img": "http://image.jxvdy.com/old/201409/24/11-46-06-65-3.jpg",
"score": 0,
"description": "一位老人用自己的一半时间去帮助他人，赠予帮助，收获快乐",
"time": 1411530082
},
{
"id": 4354,
"title": "父子时光之旅",
"img": "http://image.jxvdy.com/old/201409/24/11-35-13-81-3.jpg",
"score": 0,
"description": "当父亲老去，忙于生活的男人没有时间照应体弱的父亲，于是，带上父亲上路吧，带他重走当年他走过无数遍的那段旅程",
"time": 1411529699
}
]
对于这一种json数据，使用fastjson进行解析的时候，调用方法之前应该先写出其相应的bean.java（我想你已经做过了）；上面的json数据相应的bean是这种，
public class NewMoviesBean {
private int id;
private String title;
private String img;
private String score;
private String description;
private int time;
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public String getImg() {
return img;
}
public void setImg(String img) {
this.img = img;
}
public String getScore() {
return score;
}
public void setScore(String score) {
this.score = score;
}
public String getDescription() {
return description;
}
public void setDescription(String description) {
this.description = description;
}
public int getTime() {
return time;
}
public void setTime(int time) {
this.time = time;
}
public NewMoviesBean(int id, String title, String img, String score,
String description, int time) {
super();
this.id = id;
this.title = title;
this.img = img;
this.score = score;
this.description = description;
this.time = time;
}
public NewMoviesBean() {
super();
}
@Override
public String toString() {
return "NewMoviesBean [id=" + id + ", title=" + title + ", img=" + img
+ ", score=" + score + ", description=" + description
+ ", time=" + time + "]";
}
}
那么相应的解析方法是这种：
JSON.parseArray(json, NewMoviesBean.class);
为甚么回事这样的解析方式呢？由于，分析整个json数据的格式我们能发现，最外层是中括号"[ ]",内側是大括号"{ }";中括号说明整个json数据为一个数组类型，当中的大括号说明是数组中的元素；说明整个就是一个JSONArray,JSONArray中元素又是一个个的JSONObject。
还有一种的解析方式：json数据是这种，
{"type": [
"恐怖",
"剧情"
]},
分析这样的形式，大括号中面是小括号。也即是数组总体是通过键值对的形式呈现的。那么最外层就是一个JSONObject，KEY相应的就是JSONArray。应该这样：
JSONArray jsonArrayType = JSONObject.getJSONArray("type");
String[] type = new String[jsonArrayType.size()];
for (int j = 0; j < jsonArrayType.size(); j++) {
type[j] = (String)jsonArrayType.get(j);
}
这样就行解析出想要的数据。
与上面类似的还有一种解析：json数据是这种：
{
"playurl": {
"360P": "http://v.jxvdy.com/sendfile/V7bzjsH5sIZlBzVG7t7qbL1u-y1_k6E0DCtzyZ8iv-pRF3GmewWOj-HQ_grNppGnnx_rRHb-bztNWAvzGQ",
"480P": "http://v.jxvdy.com/sendfile/V7bzjsH5sIZlBzVG7t7qbL1u-y1_k6E0DCtzyZ8iv-pRF3GmewWOj-HQ_grNppGnnx_rRHb-bztNWAvzGT",
"720P": "http://v.jxvdy.com/sendfile/V7bzjsH5sIZlBzVG7t7qbL1u-y1_k6E0DCtzyZ8iv-pRF3GmewWOj-HQ_grNppGnnx_rRHb-bztNWAvzGZ"
}
}
这样的形式，外层大括号中面是一个键KEY相应了还有一个大括号元素，那么其最外层是一个JSONObject；内层KEY相应的也是一个JSONObject。
当然也能够先创建开一个bean：
public class MoviedefinitionBean {
private String normalP;
private String hightP;
private String superP;
public String getNormalP() {
return normalP;
}
public void setNormalP(String normalP) {
this.normalP = normalP;
}
public String getHightP() {
return hightP;
}
public void setHightP(String hightP) {
this.hightP = hightP;
}
public String getSuperP() {
return superP;
}
public void setSuperP(String superP) {
this.superP = superP;
}
public MoviedefinitionBean(String normalP, String hightP, String superP) {
super();
this.normalP = normalP;
this.hightP = hightP;
this.superP = superP;
}
public MoviedefinitionBean() {
super();
}
@Override
public String toString() {
return "MoviedefinitionBean [normalP=" + normalP + ", hightP=" + hightP
+ ", superP=" + superP + "]";
}
}
然后对此做出解析：
JSONObject jsonObjectDefination = jsonObject.getJSONObject("playurl");
String normalP = jsonObjectDefination.getString("360P");
String hightP = jsonObjectDefination.getString("480P");
String superP = jsonObjectDefination.getString("720P");
playurl = new MoviedefinitionBean(normalP, hightP, superP);
今天先写到这里|10-02-2014.
今天接着写我遇到的还有一种解析类型：先给出json数据：
{
"1": "爱情",
"2": "青春",
"3": "温情",
"4": "喜剧",
"5": "悬疑",
"6": "励志",
"7": "职场",
"8": "社会",
"9": "刑侦",
"10": "战争",
"11": "古装",
"12": "科幻",
"13": "动作",
"14": "穿越",
"15": "广告",
"16": "公益",
"17": "恐怖",
"18": "文艺",
"19": "纪录",
"20": "动画",
"21": "剧情",
"22": "其它"
}
然后对此做出解析；能够看出上面的json数据是一个JSONObject，而且他也是一种以键值对形式存在的类似Map的数据类型。那么也就是说能够使用遍历Map的方式来解析这个JOSNObject。
public static void jsonParseFilterFields(String json){
ids = new LinkedList<Integer>();
items = new LinkedList<String>();
JSONObject jsonObject = JSONObject.parseObject(json);
Iterator<String> it = jsonObject.keySet().iterator();
while(it.hasNext()){
String key = it.next();
ids.add(Integer.valueOf(key));
items.add(jsonObject.getString(key));
}
待续；2014-10-4
今天有接触到一种高速的解析方法：json数据是这种
{
introduce=小猪的成长历程,
face=http://www.bejson.com/imgsss,
sex=男,
nick=猪猪,
email=zhuzhu@163.com
}
然后我写了一个用户的个人信息的UserBean
public class UserBean {
private String name;
private String nick;
private String face;
private String info;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getNick() {
return nick;
}
public void setNick(String nick) {
this.nick = nick;
}
public String getFace() {
return face;
}
public void setFace(String face) {
this.face = face;
}
public String getInfo() {
return info;
}
public void setInfo(String info) {
this.info = info;
}
public UserBean(String name, String nick, String face, String info) {
super();
this.name = name;
this.nick = nick;
this.face = face;
this.info = info;
}
public UserBean() {
super();
}
@Override
public String toString() {
return "UserBean [name=" + name + ", nick=" + nick + ", face=" + face
+ ", info=" + info + "]";
}
}
然后通过fast-json.jar解析：
/**
* 获取用户个人的信息
* @param json
* @return
*/
public static UserBean jsonParseUserBean(String json){
return JSON.parseObject(json, UserBean.class);
}
待续；2014/10/14
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