Create JSON by Jackson API(转)
原文地址:
Create JSON by Jackson API
Jackson API is a multi-purpose Java library for processing JSON. Using Jackson API we can process as well produce JSON in different ways. In this article we will show how to use this Jackson API for creating JSON.
Maven Dependency:
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.6.0</version>
</dependency>
Example 1:Jackson API to create JSON Array
package com.sample; import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.ObjectNode; public class CreateJSON { public static void main(String[] args) throws JsonProcessingException { ObjectMapper mapper = new ObjectMapper(); ArrayNode arrayNode = mapper.createArrayNode(); /**
* Create three JSON Objects objectNode1, objectNode2, objectNode3
* Add all these three objects in the array
*/ ObjectNode objectNode1 = mapper.createObjectNode();
objectNode1.put("bookName", "Java");
objectNode1.put("price", "100"); ObjectNode objectNode2 = mapper.createObjectNode();
objectNode2.put("bookName", "Spring");
objectNode2.put("price", "200"); ObjectNode objectNode3 = mapper.createObjectNode();
objectNode3.put("bookName", "Liferay");
objectNode3.put("price", "500"); /**
* Array contains JSON Objects
*/
arrayNode.add(objectNode1);
arrayNode.add(objectNode2);
arrayNode.add(objectNode3); /**
* We can directly write the JSON in the console.
* But it wont be pretty JSON String
*/
System.out.println(arrayNode.toString()); /**
* To make the JSON String pretty use the below code
*/
System.out.println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(arrayNode)); } }
The above code will produce the below JSON
[
{
"bookName": "Java",
"price": "100"
},
{
"bookName": "Spring",
"price": "200"
},
{
"bookName": "Liferay",
"price": "500"
}
]
Example 2: Jackson API to create JSON Array inside JSON Array
package com.sample; import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.ObjectNode; public class CreateJSON { public static void main(String[] args) throws JsonProcessingException { ObjectMapper mapper = new ObjectMapper(); ArrayNode arrayNode = mapper.createArrayNode(); /**
* Create three JSON Objects objectNode1, objectNode2, objectNode3, objectNode4
* Add all these three objects in the array
*/ ObjectNode objectNode1 = mapper.createObjectNode();
objectNode1.put("bookName", "Java");
objectNode1.put("price", "100"); ObjectNode objectNode2 = mapper.createObjectNode();
objectNode2.put("bookName", "Spring");
objectNode2.put("price", "200"); ObjectNode objectNode3 = mapper.createObjectNode();
objectNode3.put("bookName", "Liferay");
objectNode3.put("price", "500"); ArrayNode authorsArray = mapper.createArrayNode();
ObjectNode author1 = mapper.createObjectNode();
author1.put("firstName","Hamidul");
author1.put("middleName","");
author1.put("lastName","Islam"); ObjectNode author2 = mapper.createObjectNode();
author2.put("firstName","Richard");
author2.put("middleName","");
author2.put("lastName","Sezove"); authorsArray.add(author1);
authorsArray.add(author2); ObjectNode objectNode4 = mapper.createObjectNode();
objectNode4.putPOJO("authors", authorsArray); /**
* Array contains JSON Objects
*/
arrayNode.add(objectNode1);
arrayNode.add(objectNode2);
arrayNode.add(objectNode3);
arrayNode.add(objectNode4); /**
* We can directly write the JSON in the console.
* But it wont be pretty JSON String
*/
//System.out.println(arrayNode.toString()); /**
* To make the JSON String pretty use the below code
*/
System.out.println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(arrayNode)); } }
The above code will produce the below JSON String
[
{
"bookName": "Java",
"price": "100"
},
{
"bookName": "Spring",
"price": "200"
},
{
"bookName": "Liferay",
"price": "500"
},
{
"authors": [
{
"firstName": "Hamidul",
"middleName": "",
"lastName": "Islam"
},
{
"firstName": "Richard",
"middleName": "",
"lastName": "Sezove"
}
]
}
]
Example 3: Jackson API to convert Java Object to JSON
package com.sample.pojo; import java.util.List; public class Customer {
private String firstName;
private String middleName;
private String lastName;
private int age;
private List<String> contacts; public List<String> getContacts() {
return contacts;
} public void setContacts(List<String> contacts) {
this.contacts = contacts;
} public String getFirstName() {
return firstName;
} public void setFirstName(String firstName) {
this.firstName = firstName;
} public String getMiddleName() {
return middleName;
} public void setMiddleName(String middleName) {
this.middleName = middleName;
} public String getLastName() {
return lastName;
} public void setLastName(String lastName) {
this.lastName = lastName;
} public int getAge() {
return age;
} public void setAge(int age) {
this.age = age;
} }
Convert Customer to JSON
package com.sample; import java.io.File;
import java.io.IOException;
import java.util.Arrays; import com.fasterxml.jackson.core.JsonGenerationException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.sample.pojo.Customer; public class ObjectToJSON { public static void main(String[] args) throws JsonGenerationException, JsonMappingException, IOException {
/**
* Mapper can be used to convert object to JSON
*/
ObjectMapper mapper = new ObjectMapper(); Customer customer = new Customer();
customer.setAge(29);
customer.setFirstName("Hamidul");
customer.setMiddleName("");
customer.setLastName("Islam");
customer.setContacts( Arrays.asList("8095185442", "9998887654", "1234567890")); /**
* Now we can create JSON from customer object
* Into different forms
* We can write in Console or we can create JSON as string
* Or we can write JSON in file also
* See all the examples below
*/ mapper.writeValue(System.out, customer); String jsonString = mapper.writeValueAsString(customer); mapper.writeValue(new File("customer.json"), customer); /**
* To pretty print the above JSON use the below code.
* Uncomment the below code to see the result
*/ /**mapper.writerWithDefaultPrettyPrinter().writeValue(System.out, customer); String prettyJson = mapper.writerWithDefaultPrettyPrinter().writeValueAsString(customer); mapper.writerWithDefaultPrettyPrinter().writeValue(new File("customer.json"), customer);*/
} }
The above code will produce JSON as below
{
"firstName": "Hamidul",
"middleName": "",
"lastName": "Islam",
"age": 29,
"contacts": [
"8095185442",
"9998887654",
"1234567890"
]
}
Example 4: Use of @JsonIgnore to ignore property
Some times while converting java objects to json we may require certain properties to be ignored.
In that case we can use @JsonIgnore annotation. For example
package com.sample.pojo; import java.util.List; import com.fasterxml.jackson.annotation.JsonIgnore; public class Customer {
private String firstName;
private String middleName;
private String lastName;
private int age;
private List<String> contacts; @JsonIgnore
private String country; @JsonIgnore
private String city; public String getCountry() {
return country;
} public void setCountry(String country) {
this.country = country;
} public String getCity() {
return city;
} public void setCity(String city) {
this.city = city;
} public List<String> getContacts() {
return contacts;
} public void setContacts(List<String> contacts) {
this.contacts = contacts;
} public String getFirstName() {
return firstName;
} public void setFirstName(String firstName) {
this.firstName = firstName;
} public String getMiddleName() {
return middleName;
} public void setMiddleName(String middleName) {
this.middleName = middleName;
} public String getLastName() {
return lastName;
} public void setLastName(String lastName) {
this.lastName = lastName;
} public int getAge() {
return age;
} public void setAge(int age) {
this.age = age;
} }
So while converting customer object to JSON, the property country and city will be ignored.
Example 5: Ignore property in the runtime
In the example 4 we have shown how to ignore property by @JsonIgnore. This is static in nature. That means each and every time the property will be ignored while converting object to JSON. But in some cases we may need to ignore property in the runtime on the basis of some conditions.
package com.sample.pojo; import java.util.List; import com.fasterxml.jackson.annotation.JsonFilter; @JsonFilter("com.sample.pojo.Customer")
public class Customer {
private String firstName;
private String middleName;
private String lastName;
private int age;
private List<String> contacts;
private String country;
private String city; public List<String> getContacts() {
return contacts;
} public void setContacts(List<String> contacts) {
this.contacts = contacts;
} public String getCountry() {
return country;
} public void setCountry(String country) {
this.country = country;
} public String getCity() {
return city;
} public void setCity(String city) {
this.city = city;
} public String getFirstName() {
return firstName;
} public void setFirstName(String firstName) {
this.firstName = firstName;
} public String getMiddleName() {
return middleName;
} public void setMiddleName(String middleName) {
this.middleName = middleName;
} public String getLastName() {
return lastName;
} public void setLastName(String lastName) {
this.lastName = lastName;
} public int getAge() {
return age;
} public void setAge(int age) {
this.age = age;
} public Customer(String firstName, String middleName, String lastName,
int age) {
super();
this.firstName = firstName;
this.middleName = middleName;
this.lastName = lastName;
this.age = age;
} public Customer() { } }
Note: Give attention to @JsonFilter("com.sample.pojo.Customer"). Within double quote we can pass any valid string.
package com.sample; import java.util.Arrays; import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectWriter;
import com.fasterxml.jackson.databind.ser.FilterProvider;
import com.fasterxml.jackson.databind.ser.impl.SimpleBeanPropertyFilter;
import com.fasterxml.jackson.databind.ser.impl.SimpleFilterProvider;
import com.sample.pojo.Customer; public class DynamicExclusionDemo { public static void main(String[] args) throws JsonProcessingException{ /**
* Create customer object
*/ Customer customer = new Customer();
customer.setAge(29);
customer.setFirstName("Hamidul");
customer.setMiddleName("");
customer.setLastName("Islam");
customer.setCountry("India");
customer.setCity("Bangalore");
customer.setContacts( Arrays.asList("8095185442", "9998887654", "1234567890")); /**
* Ignore city and country property
*/
String[] ignorableFieldNames = {"city","country"}; /**
* In the add filter pass com.sample.pojo.Customer
* Which is mentioned in the Customer class with @JsonFilter
*/
FilterProvider filters = new SimpleFilterProvider() .addFilter("com.sample.pojo.Customer", SimpleBeanPropertyFilter.serializeAllExcept(ignorableFieldNames)); ObjectMapper mapper = new ObjectMapper(); /**
* Pass the filter
*/
ObjectWriter writer = mapper.writer(filters); /**
* Convert Object to JSON
*/
String jsonString = writer.writeValueAsString(customer);
System.out.println(jsonString); }
}
The JSON output is below
Create JSON by Jackson API(转)的更多相关文章
- URL及日期等特殊数据格式处理-JSON框架Jackson精解第2篇
Jackson是Spring Boot默认的JSON数据处理框架,但是其并不依赖于任何的Spring 库.有的小伙伴以为Jackson只能在Spring框架内使用,其实不是的,没有这种限制.它提供了很 ...
- 两款JSON类库Jackson与JSON-lib的性能对比(新增第三款测试)
本篇文章主要介绍了"两款JSON类库Jackson与JSON-lib的性能对比(新增第三款测试)",主要涉及到两款JSON类库Jackson与JSON-lib的性能对比(新增第三款 ...
- 属性序列化自定义与字母表排序-JSON框架Jackson精解第3篇
Jackson是Spring Boot默认的JSON数据处理框架,但是其并不依赖于任何的Spring 库.有的小伙伴以为Jackson只能在Spring框架内使用,其实不是的,没有这种限制.它提供了很 ...
- @JsonCreator自定义反序列化函数-JSON框架Jackson精解第5篇
Jackson是Spring Boot(SpringBoot)默认的JSON数据处理框架,但是其并不依赖于任何的Spring 库.有的小伙伴以为Jackson只能在Spring框架内使用,其实不是的, ...
- 使用 Json Schema 定义 API
本文地址:使用 Json Schema 定义 API 前面我们介绍了 Json Schema 的基本内容,这篇文章我们结合 jsonschema2pojo 工具深入分析如何使用 Json Schema ...
- RandomUser – 生成随机用户 JSON 数据的 API
RandomUser 是一个 API,它为您提供了一个或者一批随机生成的用户.这些用户可以在 Web 应用程序原型中用作占位符,将节省您创建自己的占位符信息的时间.您可以使用 AJAX 或其他方法来调 ...
- Json for Java API学习
首先声明:本文来个非常多网友的博客,我通过參考了他们的博客,大致的了解了一些项目中经常使用的Json in java 类和方法,以及关于json的个人理解 个人对json的一些简单理解 在近期的学习中 ...
- json模块及其API
模块:json 所包含API列表: json.dumps : 将python对象转换成json格式 json.loads : 将json格式字符串转换为python对象 ——————————————— ...
- [py]requests+json模块处理api数据,flask前台展示
需要处理接口json数据,过滤字段,处理字段等. 一大波json数据来了 参考: https://stedolan.github.io/jq/tutorial/ https://api.github. ...
随机推荐
- Linux命令之du命令
du命令 显示文件或目录所占用的磁盘空间. 命令格式: du [option] 文件/目录 -h 输出文件系统分区使用的情况,例如:10KB,10MB,10GB等 -s 显示文件或整个目录的大小,默认 ...
- 【Java】【事件处理机制】
import javax.swing.*;import java.awt.*;import java.awt.event.ActionEvent;import java.awt.event.Actio ...
- centos6.6 安装MariaDB
参考文章:yum安装MariaDB(使用国内镜像快速安装,三分钟安装完毕) 安装环境: virtualbox下CentOS6.6(32位) 遇到的问题: 通过Maria官方提供的安装方式,源是国外的源 ...
- 《剑指offer》第五十七题(为s的连续正数序列)
// 面试题57(二):为s的连续正数序列 // 题目:输入一个正数s,打印出所有和为s的连续正数序列(至少含有两个数). // 例如输入15,由于1+2+3+4+5=4+5+6=7+8=15,所以结 ...
- 牛客OI周赛6-提高组 B 践踏
践踏 思路: 如果k不为0, 那么就是对k取模意义下的区间更新, 单点查询 否则, 就是普通的区间更新, 单点查询 代码: #pragma GCC optimize(2) #pragma GCC op ...
- Python Appium 滑动、点击等操作
Python Appium 滑动.点击等操作 1.手机滑动-swipe # FileName : Tmall_App.py # Author : Adil # DateTime : 2018/3/25 ...
- 有关C#中List排序的总结
这里有一篇文章作者总结的就比较详细: https://blog.csdn.net/jimo_lonely/article/details/51711821 在这里只记录一点: 对list或者数组中的数 ...
- Python全栈开发-Day1-Python基础1
目录 Python介绍 Python 2 or 3? 安装 Hello World程序 变量 用户输入 模块初识 .pyc是个什么鬼? 数据类型初识 数据运算 表达式if ...else语句 表达式f ...
- SublimeText3按ctrl+b执行python无反应
现象:在Sublime中打开.py文件,按”ctrl+b”执行时无反应.点击工具->编译系统中已经有且识别到Python,但执行”run(ctrl+shift+b)”时无反应,Sublime左下 ...
- java maven项目 pom.xml plugin 报错, build path 找不到 jconsole-1.8.0.jar 和 tools-1.8.0.jar 包
maven项目pom.xml突然报错,在Java Build Path 中并没有引用的jar包出现在了Maven Dependencies的依赖包中. 这个错误直接导致了pom.xml文件中 < ...