FastJSON、Jackson和Gson用法

一、JSON规范
JSON是一个标准规范，用于数据交互，规范的中文文档如下：
http://www.json.org/json-zh.html
参看规范，来对比JSON类库处理结果。
 
二、fastjson的一些简要说明
Fastjson是一个Java语言编写的JSON处理器。
1、遵循http://json.org标准，为其官方网站收录的参考实现之一。
2、功能qiang打，支持JDK的各种类型，包括基本的JavaBean、Collection、Map、Date、Enum、泛型。
3、无依赖，不需要例外额外的jar，能够直接跑在JDK上。
4、开源，使用Apache License 2.0协议开源。http://code.alibabatech.com/wiki/display/FastJSON/Home
如果获得Fastjson？
SVN:http://code.alibabatech.com/svn/fastjson/trunk/
WIKI:http://code.alibabatech.com/wiki/display/FastJSON/Home
Issue Tracking:http://code.alibabatech.com/jira/browse/FASTJSON
 
三、主要的使用入口

Fastjson API入口类是com.alibaba.fastjson.JSON，常用的序列化操作都可以在JSON类上的静态方法直接完成。

public static final Object parse(String text); // 把JSON文本parse为JSONObject或者JSONArray public static final JSONObject parseObject(String text)； // 把JSON文本parse成JSONObject    public static final <T> T parseObject(String text, Class<T> clazz); // 把JSON文本parse为JavaBean public static final JSONArray parseArray(String text); // 把JSON文本parse成JSONArray public static final <T> List<T> parseArray(String text, Class<T> clazz); //把JSON文本parse成JavaBean集合 public static final String toJSONString(Object object); // 将JavaBean序列化为JSON文本 public static final String toJSONString(Object object, boolean prettyFormat); // 将JavaBean序列化为带格式的JSON文本 public static final Object toJSON(Object javaObject); //将JavaBean转换为JSONObject或者JSONArray。

测试代码：

package dhp.com.test;public class Userinfo {private String name;private int age;public Userinfo() {super();}public Userinfo(String name, int age) {super();this.name = name;this.age = age;}public void setName(String name) {this.name = name;}public String getName() {return name;}public void setAge(int age) {this.age = age;}public int getAge() {return age;}}

package dhp.com.test;import java.util.ArrayList;import java.util.Collection;import java.util.Date;import java.util.HashMap;import java.util.List;import java.util.Vector;import com.alibaba.fastjson.JSON;import com.alibaba.fastjson.JSONArray;import com.alibaba.fastjson.JSONObject;import com.alibaba.fastjson.serializer.SerializerFeature;/** * fastjson 是一个性能很好的 Java 语言实现的 JSON 解析器和生成器，来自阿里巴巴的工程师开发。 *  主要特点： * 1.快速FAST(比其它任何基于Java的解析器和生成器更快，包括jackson） 强大 * （支持普通JDK类包括任意Java Bean * 2.Class、Collection、Map、Date或enum） 零依赖（没有依赖其它任何类库除了JDK） *  */public class TestFastJson {public static void main(String[] args) {String json = "{\"name\":\"chenggang\",\"age\":24}";String arrayAyy = "[[\'马云',50],null,[\'马化腾',30]]"; //Entity2json("zhangsan", 24); //list2Json(); //Complexdata();   Deserialization(json);   DateFormate(new Date()); //Json2Eetity(json); //String2JSONArray(arrayAyy);}// 实体转为Jsonpublic static void Entity2json(String name, int age) {Userinfo info = new Userinfo(name, age);String str_json = JSON.toJSONString(info); //System.out.println("实体转化为Json" + str_json);}// list转Jsonpublic static void list2Json() {List<Userinfo> list = new ArrayList<Userinfo>();Userinfo userinfo1 = new Userinfo("lisi", 15);Userinfo userinfo2 = new Userinfo("wangwu", 16);list.add(userinfo1);list.add(userinfo2);String json = JSON.toJSONString(list, true);System.out.println("List集合转json格式字符串 :" + json);}// 字符数组转化为JSonprivate static void String2JSONArray(String arrayAyy) {JSONArray array = JSONArray.parseArray(arrayAyy);System.out.println("数组：" + array);System.out.println("数组长度: " + array.size());Collection nuCon = new Vector();nuCon.add(null);array.removeAll(nuCon);System.out.println("数组：" + array);System.out.println("数组长度: " + array.size());}// 复杂数据类型public static void Complexdata() {HashMap<String, Object> map = new HashMap<String, Object>();map.put("username", "zhangsan");map.put("age", 24);map.put("sex", "男");// map集合HashMap<String, Object> temp = new HashMap<String, Object>();temp.put("name", "xiaohong");temp.put("age", "23");map.put("girlInfo", temp);// list集合List<String> list = new ArrayList<String>();list.add("爬山");list.add("骑车");list.add("旅游");map.put("hobby", list);String jsonString = JSON.toJSONString(map);System.out.println("复杂数据类型:" + jsonString);}public static void Deserialization(String json) {Userinfo userInfo = JSON.parseObject(json, Userinfo.class);System.out.println("姓名是:" + userInfo.getName() + ", 年龄是:" + userInfo.getAge());}// 格式话日期public static void DateFormate(Date date) {System.out.println("输出毫秒值：" + JSON.toJSONString(date));System.out.println("默认格式为:" + JSON.toJSONString(date, SerializerFeature.WriteDateUseDateFormat));System.out.println("自定义日期："+ JSON.toJSONStringWithDateFormat(date, "yyyy-MM-dd", SerializerFeature.WriteDateUseDateFormat));}// Json转为实体private static void Json2Eetity(String json) {Userinfo userInfo = JSON.parseObject(json, Userinfo.class);System.out.println("输出对象的地址：" + userInfo.toString());System.out.println("输出对象的名字：" + userInfo.getName());}}

有关需要带类型的全类型序列化过程，需要调用JSON.toJSONString()方法。
需要美化输出时候，需要打开序列化美化开关，在方法中true那个参数。

四、Jackson提供了很多类和方法，而在序列化和反序列化中使用的最多的类则是ObjectMapper这个类，此类中提供了readTree()，readValue()，writeValueAsString()等方法用于转换。

package dhp.com.test2;public class Name {private String firstName;private String lastName;public Name() {}public Name(String firstName, String lastName) {this.firstName = firstName;this.lastName = lastName;}public String getFirstName() {return firstName;}public void setFirstName(String firstName) {this.firstName = firstName;}public String getLastName() {return lastName;}public void setLastName(String lastName) {this.lastName = lastName;}public String toString() {return firstName + " " + lastName;}}

package dhp.com.test2;import java.util.Date;public class Student {private int id;private Name name;private String className;private Date birthDay;public Student() {}public Student(int id, Name name, String className, Date birthDay) {super();this.id = id;this.name = name;this.className = className;this.birthDay = birthDay;}public int getId() {return id;}public void setId(int id) {this.id = id;}public Name getName() {return name;}public void setName(Name name) {this.name = name;}public Date getBirthDay() {return birthDay;}public void setBirthDay(Date birthDay) {this.birthDay = birthDay;}public String getClassName() {return className;}public void setClassName(String className) {this.className = className;}@Overridepublic String toString() {return "Student [birthDay=" + birthDay + ", id=" + id + ", name=" + name + ", classname=" + className + "]";}}

package dhp.com.test2;import java.text.SimpleDateFormat;  import java.util.ArrayList;  import java.util.Date;  import java.util.HashMap;  import java.util.List;  import java.util.Map;    import org.codehaus.jackson.JsonGenerator;  import org.codehaus.jackson.map.DeserializationConfig;  import org.codehaus.jackson.map.ObjectMapper;  import org.codehaus.jackson.map.SerializationConfig;  import org.codehaus.jackson.map.annotate.JsonSerialize.Inclusion;  import org.codehaus.jackson.type.TypeReference;  public class TestJackson {public static ObjectMapper getDefaultObjectMapper() {          ObjectMapper mapper = new ObjectMapper();          //设置将对象转换成JSON字符串时候:包含的属性不能为空或"";            //Include.Include.ALWAYS 默认            //Include.NON_DEFAULT 属性为默认值不序列化            //Include.NON_EMPTY 属性为 空（""）  或者为 NULL 都不序列化            //Include.NON_NULL 属性为NULL 不序列化            mapper.setSerializationInclusion(Inclusion.NON_EMPTY);          //设置将MAP转换为JSON时候只转换值不等于NULL的          mapper.configure(SerializationConfig.Feature.WRITE_NULL_MAP_VALUES, false);          //mapper.configure(JsonGenerator.Feature.ESCAPE_NON_ASCII, true);          mapper.setDateFormat(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"));          //设置有属性不能映射成PO时不报错          mapper.disable(DeserializationConfig.Feature.FAIL_ON_UNKNOWN_PROPERTIES);          return mapper;      }      public static void main(String[] args) throws Exception{          //准备数据          Name name1 = new Name("zhang","san");          Name name2 = new Name("li","si");          Name name3 = new Name("wang","wu");          Student student1 = new Student(1,name1,"一班",new Date());            Student student2 = new Student(2,name2,"二班",new Date());            Student student3 = new Student(3,name3,"三班",new Date());            List<Student> studentList = new ArrayList<Student>();          studentList.add(student1);          studentList.add(student2);          studentList.add(student3);          Map<String,Student> studentMap = new HashMap<String, Student>();          studentMap.put("1", student1);          studentMap.put("2", student2);          studentMap.put("3", student3);          Student json2object = null;          List<Student> json2list = null;          Map<String,Student> json2map = null;          ObjectMapper mapper = getDefaultObjectMapper();                    /* Object --> JSON */          String object4json = mapper.writeValueAsString(student1);          System.out.println("Object ----> JSON");          System.out.println(object4json);          System.out.println("------------------------------------------------------");                    /* List<Object> --> JSON */          String listforjson = mapper.writeValueAsString(studentList);          System.out.println("List<Object> ----> JSON");          System.out.println(listforjson);          System.out.println("------------------------------------------------------");                    /* Map<String,Object> ----> JSON */          String map4json = mapper.writeValueAsString(studentMap);          System.out.println("Map<String,Object> ----> JSON");          System.out.println(map4json);          System.out.println("------------------------------------------------------");                    /* JSON --> Object */          json2object = mapper.readValue(object4json, Student.class);          System.out.println("JSON ----> Object");          System.out.println(json2object);          System.out.println("------------------------------------------------------");          /* JSON --> List<Object> */          json2list = mapper.readValue(listforjson, new TypeReference<List<Student>>() {});          System.out.println("JSON --> List<Object>");          System.out.println(json2list.toString());          System.out.println("------------------------------------------------------");          /* JSON --> Map<String,Object> */          json2map = mapper.readValue(map4json, new TypeReference<Map<String,Student>>() {});          System.out.println("JSON --> Map<String,Object>");          System.out.println(json2map.toString());      }  }

注意：jackson渐次反序列化
此方法更灵活，可以只将用户感兴趣的Json串信息值提取出来。主要利用ObjectMapper提供的readTree和Jackson提供的JsonNode类来实现。

测试例子：

String test="{"results":[{"objectID":357,"geoPoints":[{"x":504604.59802246094,"y":305569.9150390625}]},{"objectID":358,"geoPoints":[{"x":504602.2680053711,"y":305554.43603515625}]}]}";

此Json串比较复杂，包含了嵌套数组的形式，具有通用性。

实现反序列化

JsonNode node= objectMapper.readTree(test);   //将Json串以树状结构读入内存JsonNode contents=node.get("results");//得到results这个节点下的信息for(int i=0;i<contents.size();i++) //遍历results下的信息，size()函数可以得节点所包含的的信息的个数，类似于数组的长度{System.out.println(contents.get(i).get("objectID").getIntValue()); //读取节点下的某个子节点的值JsonNode geoNumber=contents.get(i).get("geoPoints");for(int j=0;j<geoNumber.size();j++)   //循环遍历子节点下的信息{System.out.println(geoNumber.get(j).get("x").getDoubleValue()+" "+geoNumber.get(j).get("y").getDoubleValue());}}

在控制台下输出的结果是：
357
504604.59802246094 305569.9150390625
358
504602.2680053711 305554.43603515625
此方法类似于XML解析中的DOM方式解析，其好处是结构明细，便于提取想要的信息。当然，其缺点也和此方法一样：耗时费空间。

五、Gson是非常强大的API，它支持Java泛型，支持现成的JSON与Java对象的转换，只要对象的成员名称与JSON中的一致即可。如果针对Java bean和JSON要使用不同的名称，那么可以使用@SerializedName注解来映射JSON和Java类中的变量。

我们来看一个复杂示例，在JSON中含有嵌套对象以及数组，我们要将其映射到Java bean的属性（List、Map、Array类型等）中。

{  "empID": 100,  "name": "David",  "permanent": false,  "address": {    "street": "BTM 1st Stage",    "city": "Bangalore",    "zipcode": 560100  },  "phoneNumbers": [    123456,    987654  ],  "role": "Manager",  "cities": [    "Los Angeles",    "New York"  ],  "properties": {    "age": "28 years",    "salary": "1000 Rs"  }}

建立Java bean类，将JSON转换为Java对象。
Employee.java

package com.journaldev.json.model; import java.util.Arrays;import java.util.List;import java.util.Map; import com.google.gson.annotations.SerializedName; public class Employee {     @SerializedName("empID")    private int id;    private String name;    private boolean permanent;    private Address address;    private long[] phoneNumbers;    private String role;    private List<String> cities;    private Map<String, String> properties;     public int getId() {        return id;    }    public void setId(int id) {        this.id = id;    }    public String getName() {        return name;    }    public void setName(String name) {        this.name = name;    }    public boolean isPermanent() {        return permanent;    }    public void setPermanent(boolean permanent) {        this.permanent = permanent;    }    public Address getAddress() {        return address;    }    public void setAddress(Address address) {        this.address = address;    }    public long[] getPhoneNumbers() {        return phoneNumbers;    }    public void setPhoneNumbers(long[] phoneNumbers) {        this.phoneNumbers = phoneNumbers;    }    public String getRole() {        return role;    }    public void setRole(String role) {        this.role = role;    }     @Override    public String toString(){        StringBuilder sb = new StringBuilder();        sb.append("***** Employee Details *****n");        sb.append("ID="+getId()+"n");        sb.append("Name="+getName()+"n");        sb.append("Permanent="+isPermanent()+"n");        sb.append("Role="+getRole()+"n");        sb.append("Phone Numbers="+Arrays.toString(getPhoneNumbers())+"n");        sb.append("Address="+getAddress()+"n");        sb.append("Cities="+Arrays.toString(getCities().toArray())+"n");        sb.append("Properties="+getProperties()+"n");        sb.append("*****************************");         return sb.toString();    }    public List<String> getCities() {        return cities;    }    public void setCities(List<String> cities) {        this.cities = cities;    }    public Map<String, String> getProperties() {        return properties;    }    public void setProperties(Map<String, String> properties) {        this.properties = properties;    }}

Address.java

package com.journaldev.json.model; public class Address {     private String street;    private String city;    private int zipcode;     public String getStreet() {        return street;    }    public void setStreet(String street) {        this.street = street;    }    public String getCity() {        return city;    }    public void setCity(String city) {        this.city = city;    }    public int getZipcode() {        return zipcode;    }    public void setZipcode(int zipcode) {        this.zipcode = zipcode;    }     @Override    public String toString(){        return getStreet() + ", "+getCity()+", "+getZipcode();    }}

下面是Java程序，展示了如何将JSON转换为Java对象，反之亦然。
EmployeeGsonExample.java

package com.journaldev.json.gson; import java.io.IOException;import java.nio.file.Files;import java.nio.file.Paths;import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map; import com.google.gson.Gson;import com.google.gson.GsonBuilder;import com.journaldev.json.model.Address;import com.journaldev.json.model.Employee; public class EmployeeGsonExample {     public static void main(String[] args) throws IOException {        Employee emp = createEmployee();         // Get Gson object        Gson gson = new GsonBuilder().setPrettyPrinting().create();         // read JSON file data as String        String fileData = new String(Files.readAllBytes(Paths                .get("employee.txt")));         // parse json string to object        Employee emp1 = gson.fromJson(fileData, Employee.class);         // print object data        System.out.println("nnEmployee Objectnn" + emp1);         // create JSON String from Object        String jsonEmp = gson.toJson(emp);        System.out.print(jsonEmp);     }     public static Employee createEmployee() {         Employee emp = new Employee();        emp.setId(100);        emp.setName("David");        emp.setPermanent(false);        emp.setPhoneNumbers(new long[] { 123456, 987654 });        emp.setRole("Manager");         Address add = new Address();        add.setCity("Bangalore");        add.setStreet("BTM 1st Stage");        add.setZipcode(560100);        emp.setAddress(add);         List<String> cities = new ArrayList<String>();        cities.add("Los Angeles");        cities.add("New York");        emp.setCities(cities);         Map<String, String> props = new HashMap<String, String>();        props.put("salary", "1000 Rs");        props.put("age", "28 years");        emp.setProperties(props);         return emp;    }}

Gson是主类，它暴露出fromJson()和toJson()方法进行转换工作，对于默认实现，可以直接创建对象，也可以使用GsonBuilder类提供的实用选项进行转换，比如整齐打印，字段命名转换，排除字段，日期格式化，等等。
当运行以上程序时，可以看到以下Java对象的输出。

Employee Object ***** Employee Details *****ID=100Name=DavidPermanent=falseRole=ManagerPhone Numbers=[123456, 987654]Address=BTM 1st Stage, Bangalore, 560100Cities=[Los Angeles, New York]Properties={age=28 years, salary=1000 Rs}*****************************

你可以看到，使用Gson是多么的容易，这就是为什么它在JSON处理方面如此风靡。
以上的JSON处理方式是我们所熟知的对象模型，因为整个JSON被一次性的转换为对象了，在大多数情况下这足够了，然而如果JSON确实非常庞大，我们不想将其全部一次性置入内存，Gson也提供了Streaming API。
我们来看一个例子，它展示了如何使用Streaming API进行JSON到Java对象的转换。
EmployeeGsonReader.java

package com.journaldev.json.gson; import java.io.FileInputStream;import java.io.IOException;import java.io.InputStream;import java.io.InputStreamReader;import java.util.ArrayList;import java.util.HashMap;import java.util.List; import com.google.gson.stream.JsonReader;import com.google.gson.stream.JsonToken;import com.journaldev.json.model.Address;import com.journaldev.json.model.Employee; public class EmployeeGsonReader {     public static void main(String[] args) throws IOException {        InputStream is = new FileInputStream("employee.txt");        InputStreamReader isr = new InputStreamReader(is);         //create JsonReader object        JsonReader reader = new JsonReader(isr);         //create objects        Employee emp = new Employee();        Address add = new Address();        emp.setAddress(add);        List<Long> phoneNums = new ArrayList<Long>();        emp.setCities(new ArrayList<String>());        emp.setProperties(new HashMap<String, String>());        String key = null;        boolean insidePropertiesObj=false;         key = parseJSON(reader, emp, phoneNums, key, insidePropertiesObj);         long[] nums = new long[phoneNums.size()];        int index = 0;        for(Long l :phoneNums){            nums[index++] = l;        }        emp.setPhoneNumbers(nums);         reader.close();        //print employee object        System.out.println("Employee Objectnn"+emp);    }     private static String parseJSON(JsonReader reader, Employee emp,            List<Long> phoneNums, String key, boolean insidePropertiesObj) throws IOException {         //loop to read all tokens                while(reader.hasNext()){                    //get next token                    JsonToken token = reader.peek();                     switch(token){                    case BEGIN_OBJECT:                        reader.beginObject();                        if("address".equals(key) || "properties".equals(key)){                            while(reader.hasNext()){                            parseJSON(reader, emp,phoneNums, key, insidePropertiesObj);                            }                            reader.endObject();                        }                        break;                    case END_OBJECT:                        reader.endObject();                        if(insidePropertiesObj) insidePropertiesObj=false;                        break;                    case BEGIN_ARRAY:                        reader.beginArray();                        if("phoneNumbers".equals(key) || "cities".equals(key)){                            while(reader.hasNext()){                                parseJSON(reader, emp,phoneNums, key, insidePropertiesObj);                                }                            reader.endArray();                        }                        break;                    case END_ARRAY:                        reader.endArray();                        break;                    case NAME:                        key = reader.nextName();                        if("properties".equals(key)) insidePropertiesObj=true;                        break;                    case BOOLEAN:                        if("permanent".equals(key)) emp.setPermanent(reader.nextBoolean());                        else{                            System.out.println("Unknown item found with key="+key);                            //skip value to ignore it                            reader.skipValue();                        }                        break;                    case NUMBER:                        if("empID".equals(key)) emp.setId(reader.nextInt());                        else if("phoneNumbers".equals(key)) phoneNums.add(reader.nextLong());                        else if("zipcode".equals(key)) emp.getAddress().setZipcode(reader.nextInt());                        else {                            System.out.println("Unknown item found with key="+key);                            //skip value to ignore it                            reader.skipValue();                        }                        break;                    case STRING:                        setStringValues(emp, key, reader.nextString(), insidePropertiesObj);                        break;                    case NULL:                        System.out.println("Null value for key"+key);                        reader.nextNull();                        break;                    case END_DOCUMENT:                        System.out.println("End of Document Reached");                        break;                    default:                        System.out.println("This part will never execute");                        break;                     }                }                return key;    }     private static void setStringValues(Employee emp, String key,            String value, boolean insidePropertiesObj) {        if("name".equals(key)) emp.setName(value);        else if("role".equals(key)) emp.setRole(value);        else if("cities".equals(key)) emp.getCities().add(value);        else if ("street".equals(key)) emp.getAddress().setStreet(value);        else if("city".equals(key)) emp.getAddress().setCity(value);        else{            //add to emp properties map            if(insidePropertiesObj){                emp.getProperties().put(key, value);            }else{                System.out.println("Unknown data found with key="+key+" value="+value);            }         }    } }

由于JSON是一个递归语言（译注：JSON本身并不是“语言”，而是一种表示方法），我们也需要针对数组和嵌套对象递归地调用解析方法。JsonToken是JsonReader中next()方法所返回的Java枚举类型，我们可以用其配合条件逻辑或switch case语句进行转换工作。根据以上代码，你应该能够理解这不是一个简单的实现，如果JSON确实非常复杂，那么代码将会变得极难维护，所以要避免使用这种方式，除非没有其他出路。


我们来看一下如何使用Gson Streaming API写出Employee对象。
EmployeeGsonWriter.java

package com.journaldev.json.gson; import java.io.IOException;import java.io.OutputStreamWriter;import java.util.Set; import com.google.gson.stream.JsonWriter;import com.journaldev.json.model.Employee; public class EmployeeGsonWriter {     public static void main(String[] args) throws IOException {        Employee emp = EmployeeGsonExample.createEmployee();         //writing on console, we can initialize with FileOutputStream to write to file        OutputStreamWriter out = new OutputStreamWriter(System.out);        JsonWriter writer = new JsonWriter(out);        //set indentation for pretty print        writer.setIndent("t");        //start writing        writer.beginObject(); //{        writer.name("id").value(emp.getId()); // "id": 123        writer.name("name").value(emp.getName()); // "name": "David"        writer.name("permanent").value(emp.isPermanent()); // "permanent": false        writer.name("address").beginObject(); // "address": {            writer.name("street").value(emp.getAddress().getStreet()); // "street": "BTM 1st Stage"            writer.name("city").value(emp.getAddress().getCity()); // "city": "Bangalore"            writer.name("zipcode").value(emp.getAddress().getZipcode()); // "zipcode": 560100            writer.endObject(); // }        writer.name("phoneNumbers").beginArray(); // "phoneNumbers": [            for(long num : emp.getPhoneNumbers()) writer.value(num); //123456,987654            writer.endArray(); // ]        writer.name("role").value(emp.getRole()); // "role": "Manager"        writer.name("cities").beginArray(); // "cities": [            for(String c : emp.getCities()) writer.value(c); //"Los Angeles","New York"            writer.endArray(); // ]        writer.name("properties").beginObject(); //"properties": {            Set<String> keySet = emp.getProperties().keySet();            for(String key : keySet) writer.name("key").value(emp.getProperties().get(key));//"age": "28 years","salary": "1000 Rs"            writer.endObject(); // }        writer.endObject(); // }         writer.flush();         //close writer        writer.close();     } }

从Java对象到JSON的转换，与使用streaming API解析相比，相对容易一些，默认情况下JsonWriter会以一种紧凑的格式写入JSON，但也可以设置缩进进行整齐打印。

这就是Gson API演示教程的所有内容，如果你遇到任何问题，请告诉我。以下链接可以下载项目，你可以玩一玩Gson提供的多种选项。
http://www.journaldev.com/?wpdmact=process&did=MzAuaG90bGluaw==
原文链接： Pankaj Kumar 翻译： ImportNew.com - Justin Wu
译文链接： http://www.importnew.com/14509.html