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();}@Overridepublic 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();}@Overridepublic 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();}@Overridepublic 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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