struts获得参数(属性，对象，模型驱动)

0.

strutsMVC

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" 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Action生命周期

　　1.每次请求到来时,都会创建一个新的Action实例

　　2.Action是线程安全的.可以使用成员变量接收参数

1.属性驱动方式

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" 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 提供属性的setter方法:

aaarticlea/png;base64,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" 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这里需要补充的是对于boolean类型的映射，我们用eclipse生成的get、set方法是isXXX，例如:

    private boolean displayPerson;

    public boolean isDisplayPerson() {
        return displayPerson;
    }

    public void setDisplayPerson(boolean displayPerson) {
        this.displayPerson = displayPerson;
    }

我们需要将is改为get，如下:

    private boolean displayPerson;

    public boolean getDisplayPerson() {
        return displayPerson;
    }

    public void setDisplayPerson(boolean displayPerson) {
        this.displayPerson = displayPerson;
    }

2.对象驱动

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" 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提供属性的getter方法:

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" 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3.模型驱动

　　模型驱动是使用javaBean对象来封装请求参数，在整个MVC流程中可以直接使用这个对象。在发送请求后Struts将各个请求参数（javab的属性）封装到一个JavaBean对象中，Action接收这个实例对象并用该对象进行相关处理返回处理结果。
         Action需要实现ModelDriven接口，创建一个对象实例，在getModel返回该对象。界面中name直接命名为属性名字，不用加对象名字。(对象实例不用get，set)

例如:

Haulinfo .java

package cn.xm.exam.bean.haul;

import java.util.Date;

public class Haulinfo {
	private String bigid;// 大修ID

	private String bigname;// 大修名称

	private String bigdescription;// 大修描述

	private Date bigcreatedate;// 大修创建时间

	private Date bigbegindate;// 大修开始时间

	private Date bigenddate;// 大修结束时间

	private String bigstatus;// 大修状态

	public String getBigid() {
		return bigid;
	}

	public void setBigid(String bigid) {
		this.bigid = bigid == null ? null : bigid.trim();
	}

	public String getBigname() {
		return bigname;
	}

	public void setBigname(String bigname) {
		this.bigname = bigname == null ? null : bigname.trim();
	}

	public String getBigdescription() {
		return bigdescription;
	}

	public void setBigdescription(String bigdescription) {
		this.bigdescription = bigdescription == null ? null : bigdescription.trim();
	}

	public Date getBigcreatedate() {
		return bigcreatedate;
	}

	public void setBigcreatedate(Date bigcreatedate) {
		this.bigcreatedate = bigcreatedate;
	}

	public Date getBigbegindate() {
		return bigbegindate;
	}

	public void setBigbegindate(Date bigbegindate) {
		this.bigbegindate = bigbegindate;
	}

	public Date getBigenddate() {
		return bigenddate;
	}

	public void setBigenddate(Date bigenddate) {
		this.bigenddate = bigenddate;
	}

	public String getBigstatus() {
		return bigstatus;
	}

	public void setBigstatus(String bigstatus) {
		this.bigstatus = bigstatus == null ? null : bigstatus.trim();
	}
}

　　

Action：

测试:

 结果: