直接說結論方便一目了然:
1. 簡單的直接Bean.class
2. 復雜的用 TypeReference
這樣就完事了。
public class TestMain2 { public static void main(String[] args) throws JsonProcessingException { /* 首先說明 readValue 針對String 一共有3個重載,如下: public <T> T readValue(String content, Class<T> valueType);簡單型,就是 直接 UserBase.class 就可。 public <T> T readValue(String content, TypeReference<T> valueTypeRef);復雜的可以 用這個 public <T> T readValue(String content, JavaType valueType);這個書寫起來比較麻煩,就不說明了,不常用,前2個已經徹底滿足了。 */ ObjectMapper objectMapper = new ObjectMapper(); String json1 = "{\"userName\":\"小李飛刀\",\"age\":18,\"addTime\":1591851786568}"; String json2 = "[{\"userName\":\"小李飛刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飛刀2\",\"age\":182,\"addTime\":1234}]"; //1.最簡單的常用方法,直接將一個json轉換成實體類 UserBase userBase1 = objectMapper.readValue(json1, UserBase.class); //簡單類型的時候,這樣最方便 System.out.println("簡單: " + userBase1.getUserName()); //用 TypeReference 也可以,但是麻煩 不如第一種直接 TypeReference 主要針對繁雜類型 //UserBase userBase2 = objectMapper.readValue(json1, new TypeReference<UserBase>() {}); //2.把Json轉換成map,必須使用 TypeReference , map的類型定義 可以根據實際情況來定,比如若值都是String那么就可以 Map<String, String> Map<String, Object> userBaseMap = objectMapper.readValue(json1, new TypeReference<Map<String, Object>>() {}); System.out.println("map: " + userBaseMap.get("userName")); //3.list<Bean>模式,必須用 TypeReference List<UserBase> userBaseList = objectMapper.readValue(json2, new TypeReference<List<UserBase>>() {}); System.out.println("list: " + userBaseList.get(0).getUserName()); //4.Bean[] 數組,必須用 TypeReference UserBase[] userBaseAry = objectMapper.readValue(json2, new TypeReference<UserBase[]>() {}); System.out.println("ary: " + userBaseAry[0].getUserName()); } }
==========================================================下面是詳細的秒數==================================================
方法1,針對簡單類型,有實體類的json,直接轉換成單個實體類,上代碼:
首先是一個實體類UserBase:
public class UserBase { /** * 用戶名 */ private String userName; /** * 年齡 */ private Integer age; /** * 增加時間 */ private Date addTime; public String getUserName() { return userName; } public void setUserName(String userName) { this.userName = userName; } public Integer getAge() { return age; } public void setAge(Integer age) { this.age = age; } public Date getAddTime() { return addTime; } public void setAddTime(Date addTime) { this.addTime = addTime; } }
public class TestMain2 {
public static void main(String[] args) throws JsonProcessingException {
/*
1.最簡單的常用方法,直接將一個json轉換成實體類
*/
ObjectMapper objectMapper = new ObjectMapper();
String json = "{\"userName\":\"小李飛刀\",\"age\":18,\"addTime\":1591851786568}";
//這里需要這么寫,
UserBase userBase = objectMapper.readValue(json, UserBase.class); //簡單類型的時候,這樣最方便
UserBase userBase1 = objectMapper.readValue(json, new TypeReference<UserBase>() {}); //這樣也可以,TypeReference主要針對復雜類型
System.out.println(userBase.getUserName());
System.out.println(userBase1.getUserName());
}
}
2. 若是map呢, 應該怎么用會怎樣??以下開始舉例:
public class TestMain3 { public static void main(String[] args) throws JsonProcessingException { ObjectMapper objectMapper = new ObjectMapper(); //注意這里鍵名和鍵值都是String類型的 Map<String, String> map = new HashMap<>(); map.put("name", "小李飛刀"); map.put("sex", "男"); //先生成一個json方便理解 String json = objectMapper.writeValueAsString(map); System.out.println(json);//{"sex":"男","name":"小李飛刀"} /* 開始反序列化 */ Map<String,String> map1 = new HashMap<>(); //我之前是這么寫的直接 Map.class 總覺得不妥,感覺他用了默認的推斷,然后程序也能正常運行 map1 = objectMapper.readValue(json, Map.class); System.out.println(map1.get("name")); } }
我們調試一下代碼看下,
顯然這種方式,不好,1. 編譯時 會有 泛型警告。2. 不完美 雖然能用,但是不要這樣。那么 Map時 應該如何 反序列化呢,看如下代碼:
map1 = objectMapper.readValue(json, new TypeReference<Map<String, String>>() {}); //用這個
我們來調試看下,這次是否清晰說明了 map1的類型。
好了,干完了 map,接下來還有一個常用的List<Bean> ,我們調試看下:
public class TestMain4 { public static void main(String[] args) throws JsonProcessingException { ObjectMapper objectMapper = new ObjectMapper(); String json = "[{\"userName\":\"小李飛刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飛刀2\",\"age\":182,\"addTime\":1234}]"; List<UserBase> userBaseList = objectMapper.readValue(json, List.class); System.out.println(userBaseList.get(0).getUserName()); } }
先不調試了,需要這么寫:
List<UserBase> userBaseList = objectMapper.readValue(json, new TypeReference<List<UserBase>>() {});
上面是直接把Json, 轉換成 List<bean>,關於直接轉換成 Bean數組的問題即,直接把 json轉換成 bean[],也是用 TypeReference 就可:看如下代碼:
public class TestMain4 { public static void main(String[] args) throws JsonProcessingException { ObjectMapper objectMapper = new ObjectMapper(); String json = "[{\"userName\":\"小李飛刀\",\"age\":18,\"addTime\":123}, {\"userName\":\"小李飛刀2\",\"age\":182,\"addTime\":1234}]"; UserBase[] userBaseAry = objectMapper.readValue(json, new TypeReference<UserBase[]>() {}); System.out.println(userBaseAry[0].getUserName()); } }
===================================================================================================
由於 objectMapper 一共有3個重載,我們已經講了 2個,還有一個 我們看下他的用法,這個不常用,以后盡量少用 會不用,寫代碼 沒有上面2種 來的直接和方便。
不浪費時間了,直接粘貼網上的文章:
來源:https://www.cnblogs.com/gaomanito/p/9591730.html
復制代碼 ObjectMapper mapper = new ObjectMapper(); // 排除json字符串中實體類沒有的字段 objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false); String json = "[{\"name\":\"a\",\"password\":\"345\"},{\"name\":\"b\",\"password\":\"123\"}]"; //第一種方法 List<User> list = mapper.readValue(json, new TypeReference<List<User>>(){/**/}); //第二種方法 JavaType javaType = mapper.getTypeFactory().constructCollectionType(List.class, User.class); List<User> list2 = mapper.readValue(json, javaType); 復制代碼 Jackson,我感覺是在Java與Json之間相互轉換的最快速的框架,當然Google的Gson也很不錯,但是參照網上有人的性能測試,看起來還是Jackson比較快一點 Jackson處理一般的JavaBean和Json之間的轉換只要使用ObjectMapper 對象的readValue和writeValueAsString兩個方法就能實現。但是如果要轉換復雜類型Collection如 List<YourBean>,那么就需要先反序列化復雜類型 為泛型的Collection Type。 如果是ArrayList<YourBean>那么使用ObjectMapper 的getTypeFactory().constructParametricType(collectionClass, elementClasses); 如果是HashMap<String,YourBean>那么 ObjectMapper 的getTypeFactory().constructParametricType(HashMap.class,String.class, YourBean.class); 復制代碼 public final ObjectMapper mapper = new ObjectMapper(); public static void main(String[] args) throws Exception{ JavaType javaType = getCollectionType(ArrayList.class, YourBean.class); List<YourBean> lst = (List<YourBean>)mapper.readValue(jsonString, javaType); } /** * 獲取泛型的Collection Type * @param collectionClass 泛型的Collection * @param elementClasses 元素類 * @return JavaType Java類型 * @since 1.0 */ public static JavaType getCollectionType(Class<?> collectionClass, Class<?>... elementClasses) { return mapper.getTypeFactory().constructParametricType(collectionClass, elementClasses); } 復制代碼 復雜類型轉換 復制代碼 ObjectMapper objectMapper = new ObjectMapper(); // 排除json字符串中實體類沒有的字段 objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); PledgeCertificate pledgeCertificate; Pledge pledge = new Pledge(); try { pledgeCertificate = objectMapper.readValue(requestBody, PledgeCertificate.class); pledge = objectMapper.readValue(requestBody, Pledge.class); Map<String, Object> map = objectMapper.readValue(requestBody, Map.class); String writeValueAsString = objectMapper.writeValueAsString(map.get("obligee")); JavaType javaType = objectMapper.getTypeFactory().constructParametricType(List.class, Obligee.class); List<Obligee> obligee = objectMapper.readValue(writeValueAsString,javaType); }catch (IOException e) { return “轉換錯誤”; } 數據格式:(實體類沒有obligee字段,先排除) { “certificate”:"豫(2016)鄭州市不動產權第0026369號", “debtEnd”: "yyyy-mm-dd", “debtStart”: "yyyy-mm-dd", “pledgeType”: "2", “maxDebtAmount”:88, “registType”:"0201", “obligee” :[{ "obligeeType":"1","name":張三","certType":"1","certNo":"4114211..."},{ "obligeeType":"1","name":"李四","certType":"1","certNo":"4114211..."}] } 復制代碼 { “certificate”:"豫(2016)鄭州市不動產權第0026369號", “debtEnd”: "yyyy-mm-dd", “debtStart”: "yyyy-mm-dd", “pledgeType”: "2", “maxDebtAmount”:88, “registType”:"0201", “obligee” :[{ "obligeeType":"1","name":張三","certType":"1","certNo":"4114211..."},{ "obligeeType":"1","name":"李四","certType":"1","certNo":"4114211..."}] } 既然我已經踏上這條道路,那么,任何東西都不應妨礙我沿着這條路走下去!!!!!!!!!! !!! ! !! ! 個人公眾號《后端技術開發之路》,歡迎您關注!
來源:https://www.cnblogs.com/surge/p/9046223.html
Jackson 處理復雜類型(List,map)兩種方法 方法一: String jsonString="[{'id':'1'},{'id':'2'}]"; ObjectMapper mapper = new ObjectMapper(); JavaType javaType = mapper.getTypeFactory().constructParametricType(List.class, Bean.class); //如果是Map類型 mapper.getTypeFactory().constructParametricType(HashMap.class,String.class, Bean.class); List<Bean> lst = (List<Bean>)mapper.readValue(jsonString, javaType); 方法二: String jsonString="[{'id':'1'},{'id':'2'}]"; ObjectMapper mapper = new ObjectMapper(); List<Bean> beanList = mapper.readValue(jsonString, new TypeReference<List<Bean>>() {});