这篇文章实现三个功能:1.在jsp页面点击一个按钮,然后跳转到Action,在Action中把Emp(int id ,String salary,Data data)这个实体变成JSON格式返回到页面上。
2.在jsp页面点击第二个按钮,然后跳转到Action,在Action中把List<Emp>这个集合变成JSON格式返回到页面上。
3.在jsp页面点击第三个按钮,然后跳转到Action,
List<Emp> empList = new ArrayList<Emp>();
Map<String,Object> map;
map.put("total",empList.size());
map.put("rows",empList);
在Action中把 这个map变成JSON格式返回到页面上。
案例如下:
案例结构如下:
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*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" alt="" />
所用的代码文件:com.guigu.shen.Action11(实体类Emp.java;控制器类userAction.java;配置文件springmvc_11.xml);web.xml;bean2json.jsp;
第一步:先写bean2json.jsp
<%@ page language="java" import="java.util.*" pageEncoding="UTF-8"%>
<%
String path = request.getContextPath();
String basePath = request.getScheme()+"://"+request.getServerName()+":"+request.getServerPort()+path+"/";
%>
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<base href="<%=basePath%>">
<title>My JSP 'index.jsp' starting page</title>
<script type="text/javascript" src="js/jquery-1.8.2.js"></script>
</head>
<body>
<input type="button" value="Emp转JSON" /></p>
<input type="button" value="List<Emp>转JSON" /></p>
<input type="button" value="Map<String,Object>"转JSON"/></p> <!--Emp转JSON -->
<script type="text/javascript">
$(":button:first").click(
function()
{
var url="${pageContext.request.contextPath}/emp/bean2json.action";
var sendData=null;
//第一个参数是请求的网址,第二个参数是返回的状态,第三个是回调函数
$.post(url,sendData,function(backData,textStaut,ajax){
alert(ajax.responseText);
});
}
);
</script> <!-- Map<String,Object>转JSON 这个非常重要-->
<script type="text/javascript">
$(":button:last").click(function(){
var url = "${pageContext.request.contextPath}/emp/map2json.action";
var sendData = null;
$.post(url,sendData,function(backData,textStaut,ajax){
alert(ajax.responseText);
});
});
</script> <!-- List<Emp>转JSON -->
<script type="text/javascript">
$(":button:eq(1)").click(function(){
var url = "${pageContext.request.contextPath}/emp/listbean2json.action";
var sendData = null;
$.post(url,sendData,function(backData,textStaut,ajax){
alert(ajax.responseText);
});
});
</script>
</body>
</html>
第二步:写web.xml文件
<?xml version="1.0" encoding="UTF-8"?>
<web-app xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://java.sun.com/xml/ns/javaee" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd" id="WebApp_ID" version="2.5">
<display-name>SpringMvc_10day_self</display-name>
<!-- Spring提供了一个Filter专门用来解决Post提交中文的乱码问题 -->
<filter>
<filter-name>CharacterEncodingFilter</filter-name>
<filter-class>
org.springframework.web.filter.CharacterEncodingFilter
</filter-class>
<init-param>
<param-name>encoding</param-name>
<param-value>UTF-8</param-value>
</init-param>
</filter>
<filter-mapping>
<filter-name>CharacterEncodingFilter </filter-name>
<url-pattern>/*</url-pattern>
</filter-mapping> <servlet>
<!--这个名字可以随便取得,但是这个名字取了之后,以后在 WEB-INF下面创建SpirngMVC的配置文件是,命名必须以这个开头, 所以这里取名叫做DispatcherServlet,那么之后的xml文件取名必须为DispatcherServlet-servlet.xml(一个字都不能差) -->
<servlet-name>DispatcherServlet</servlet-name>
<servlet-class> org.springframework.web.servlet.DispatcherServlet</servlet-class>
<!-- 通知DispatcherServlet去指定目录下找到springmvc.xml配置文件 -->
<!--
注意这里的 <param-name>contextConfigLocation</param-name>一个字母都不能有错
一旦有错就会去WEB-INF下面去找
-->
<init-param>
<param-name>contextConfigLocation</param-name>
<param-value>classpath:spring.xml</param-value>
</init-param>
</servlet>
<servlet-mapping>
<servlet-name>DispatcherServlet</servlet-name>
<url-pattern>*.action</url-pattern> </servlet-mapping> <welcome-file-list> <welcome-file>index.jsp</welcome-file> </welcome-file-list>
</web-app>
第三步:写spring.xml
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xsi:schemaLocation="
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
http://www.springframework.org/schema/tx
http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
http://www.springframework.org/schema/mvc
http://www.springframework.org/schema/mvc/spring-mvc-3.0.xsd"
>
<import resource="com/guigu/shen/Action11/springmvc_11.xml"/>
</beans>
第四步:springmvc_11.xml
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xsi:schemaLocation="
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
http://www.springframework.org/schema/tx
http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
http://www.springframework.org/schema/mvc
http://www.springframework.org/schema/mvc/spring-mvc-3.0.xsd"
>
<!-- 控制器(程序员)(必须配置) -->
<context:component-scan base-package="com.guigu.shen.Action11"/>
<!-- 基于注解的映射器(可选)
这个类和以前的xml方式的类不同,专门是注解用的
-->
<!--
使用JSON的所要做的事情:
1)导入jackson-core-asl-1.9.11.jar和jackson-mapper-asl-1.9.11.jar
2)在业务方法的返回值和权限之间使用@ResponseBody注解表示返回值对象需要转成JSON文本
3)在spring.xml配置文件中编写如下代码:
<bean class="org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter">
<property name="messageConverters">
<list>
<bean class="org.springframework.http.converter.json.MappingJacksonHttpMessageConverter"/>
</list>
</property>
</bean>
--> <!-- 注册适配器 -->
<bean class="org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter">
<property name="messageConverters">
<list>
<bean class="org.springframework.http.converter.json.MappingJacksonHttpMessageConverter"/>
</list>
</property>
</bean> </beans>
第五步:写com.guigu.shen.Action11下面的Emp.java和UserAction.java
package com.guigu.shen.Action11; import java.util.Date; public class Emp {
private Integer id;
private String username;
private Double salary;
private Date hiredate;
public Emp(){}
public Emp(Integer id, String username, Double salary, Date hiredate) {
this.id = id;
this.username = username;
this.salary = salary;
this.hiredate = hiredate;
}
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public String getUsername() {
return username;
}
public void setUsername(String username) {
this.username = username;
}
public Double getSalary() {
return salary;
}
public void setSalary(Double salary) {
this.salary = salary;
}
public Date getHiredate() {
return hiredate;
}
public void setHiredate(Date hiredate) {
this.hiredate = hiredate;
}
}
package com.guigu.shen.Action11; import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map; import javax.servlet.http.HttpServletRequest; import org.omg.CORBA.PUBLIC_MEMBER;
import org.springframework.beans.propertyeditors.CustomDateEditor;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.ServletRequestDataBinder;
import org.springframework.web.bind.annotation.InitBinder;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.ResponseBody; /**
*
*
请求路径可以拆分为:根模块的名字+分模块的名字
就是相当于当访问http://127.0.0.1:8080:项目名/user/register时就会进入到
registerMethod方法。
*/
@Controller
@RequestMapping(value="/emp")//根模块的请求名字
public class UserAction { //bean转成json
@RequestMapping(method=RequestMethod.POST,value="/bean2json")//分模块的请求名字
/*
* @ResponseBody Emp 表示让springmvc将Emp对象转成JSON文本
*
*/
public @ResponseBody Emp EmptoJson()
{
Emp emp=new Emp(1, "伤", 111.1, new Date()); return emp;
} //list转成Json
@RequestMapping(method=RequestMethod.POST,value="/listbean2json")//分模块的请求名字 public @ResponseBody List<Emp> listbenatoJson()
{ List<Emp> empList = new ArrayList<Emp>();
empList.add(new Emp(1,"伤",7000D,new Date()));
empList.add(new Emp(2,"伤",8000D,new Date()));
empList.add(new Emp(3,"伤",9000D,new Date()));
return empList;
} //map转成json
@RequestMapping(value="/map2json")
public @ResponseBody Map<String,Object> map2json() throws Exception{ List<Emp> empList = new ArrayList<Emp>(); empList.add(new Emp(1,"伤",7000D,new Date()));
empList.add(new Emp(2,"伤",8000D,new Date()));
empList.add(new Emp(3,"伤",9000D,new Date())); Map<String,Object> map = new LinkedHashMap<String,Object>(); map.put("total",empList.size());
map.put("rows",empList); return map;
} }
最后一步测试:
按钮如下:
aaarticlea/png;base64,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" alt="" />
点击“Emp转JSon”效果如下:
aaarticlea/png;base64,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" 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点击“List<Emp>转JSON”效果如下:
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" alt="" />
点击"Map<Strin,Object>"效果如下:
aaarticlea/png;base64,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" alt="" />
Map<Strin,Object>这个是最重要的。