Spring MVC提供了以下几种途径输出模型数据
—— ModelAndView: 处理方法返回值类型为ModelAndView时,方法体即可通过该对象添加模型数据。数据会添加到request域中。在页面上可以获取到该数据。
—— Map 及 Model:入参为 org.springframework.ui.Model、org.springframework.ui.ModelMap 或 java.uti.Map 时,处理方法返回时,Map中的数据会自动添加到模型中。数据放在request域中。
—— @SessionAttributes:将模型中的某个属性暂存到HttpSession中,以便多个请求之间可以共享这个属性。只能使用在类定义处。
—— @ModelAttribute:方法入参标注该注解后,入参的对象就会放到数据模型中。可以使用在方法定义和入参处。
这里介绍一下@SessionAttributes这个注解:
①、它只能使用在类定义处,@Target({ElementType.TYPE})。
②、它有两个属性:String[] value() default {} 和 Class<?>[] types() default {} 。所以,可以通过名字和类型来指定哪个数据对象应该放置在session域中。
下面是一个实例,说明前三种途径的用法。最后的@ModelAttribute在后面单独说:
package com.springmvc.modelAndView_7; import java.util.Arrays;
import java.util.Date;
import java.util.List;
import java.util.Map; import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.SessionAttributes;
import org.springframework.web.servlet.ModelAndView; import com.springmvc.pojoParam_6.User; @Controller
@RequestMapping("/ModelAndView")
@SessionAttributes(value={"school"}, types={User.class})
public class ModelAndViewTest { private static final String SUCCESS = "success"; /**
* 1、处理方法的返回值为ModelAndView类型
* 目标方法的返回值可以是ModelAndView类型,其中可以包含视图和模型信息
* SpringMVC会把ModelAndView中model中的数据放入到request域对象中
*/
@RequestMapping("/testModelAndView")
public ModelAndView testModelAndView(){
String viewName = SUCCESS; ModelAndView modelAndView = new ModelAndView(viewName);
//添加模型数据到ModelAndView中,目标页面中在请求域中获取${requestScope.time }
modelAndView.addObject("time", new Date()); return modelAndView;
} /**
* 2、入参为Map类型的实现,也是放在请求域中
* 目标方法可以添加Map类型(实际上也可以是Model类型,或ModelMap类型)的参数实现
*/
@RequestMapping("/testMap")
public String testMap(Map<String, List<String>> map){
map.put("names", Arrays.asList("Tom", "Jerry", "Mike")); return SUCCESS;
} /**
* 3、@SessionAttributes注解方式实现
* 在类上面放置@SessionAttributes注解,这样就能够将注解中指定的属性放置到session域中。
*
* 在这个处理方法中,将user和school放入到map中。单从方法本身来看,和上面的testMap做法没有任何区别。
* 但是,为什么这里的user和school就能够放置到session域中,而上面的names只能放置在request域中呢??
* 原因在于在控制器类定义处使用了 @SessionAttributes(value={"school"}, types={User.class})
* 这个注解。该注解规定了:“名字为school” 和 “类型为User” 的都放置在session域中。
*/
@RequestMapping("/testSessionAttributes")
public String testSessionAttributes(Map<String, Object> map){
User user = new User("jerry", "123456", 16, "123@126.com"); map.put("user", user);
map.put("school", "HNedu"); return SUCCESS;
} }
在/WEB-INFO/views/success.jsp页面中可以获取到request域或者是session域中的数据:
<body> <h1>hello world success!!!</h1>
<br/> 模型视图方式,ModelAndView实现,requestScope time:${requestScope.time }
<br/>
模型视图方式,ModelAndView实现,sessionScope time:${sessionScope.time }
<br/><br/> 模型视图方式,Map实现,requestScope names:${requestScope.names }
<br/>
模型视图方式,Map实现,sessionScope names:${sessionScope.names }
<br/><br/> 模型视图方式,@SessionAttributes注解实现:
<br/>
request school: ${requestScope.school }
<br/>
session school: ${sessionScope.school }
<br/>
request user: ${requestScope.user }
<br/>
session user: ${sessionScope.user }
<br/> </body>
现在发送三个请求,验证结果:
①:http://localhost:8080/springMVC/ModelAndView/testModelAndView 说明处理方法返回ModelAndView时,将数据放置在request域中。
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" alt="" />
②:http://localhost:8080/springMVC/ModelAndView/testMap 将数据放置在request域中。
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" 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③、http://localhost:8080/springMVC1/ModelAndView/testSessionAttributes 说明将数据放在request和session域中。
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" 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