有时候在想,java在调用方法时候究竟是按值传递还是按引用传递,之前有人说是基本数据类型按值传递,引用类型按引用传递。一时间,似乎都有道理。
笔者在此不追究字眼上的辨别识字能力,把自己对这个问题的理解阐述一下,笔者不想说这是按值传递还是按引用传递,自己理解就好了吧,毕竟java会用才是王道。
先看一下下面的代码:
package shb.java.testmemory; public class TestMeo { /**测试基本数据类型以及引用类型参数按值传递
* @Description:
* @author shaobn
* @param args
* @Date:2015-9-8 上午7:53:56
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
testInt();
testStr();
testPack();
testObj();
testObj_2();
}
//NO1.测试基本数据类型
public static void testInt(){
int num1 = 12;
System.out.println("Before change::"+num1);
changeInt(num1);
System.out.println("After change::"+num1);
}
//测试字符串类型
public static void testStr(){
String str = "helloworld";
System.out.println("Before change::"+str);
changeStr(str);
System.out.println("After change::"+str); }
//测试包装类型
public static void testPack(){
Integer integer = new Integer(42);
System.out.println("Before change::"+integer);
changePack(integer);
System.out.println("After change::"+integer);
}
//测试引用类型
public static void testObj(){
Person person = new Person();
System.out.println("Before change::"+person.age);
changeObj(person);
System.out.println("After change::"+person.age);
}
//测试引用类型方式二
public static void testObj_2(){
Person person = new Person();
System.out.println("Before change::"+person.age);
changeObj_2(person);
System.out.println("After change::"+person.age);
}
public static void changeInt(int num){
num = 21;
}
public static void changeStr(String str){
str = "hellobeijing";
}
public static void changePack(Integer integer){
integer = new Integer(89);
}
public static void changeObj(Person person){
person.age = 87;
}
public static void changeObj_2(Person person){
person = new Person();
person.age = 78;
}
}
//引用类型测试类
class Person{
public int age = 78;
}
Look NO1:
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
说明一下:笔者在上面画的两张图着实不咋样,只能做到这种程度了。我们分析一下:当数据为基本数据类型时,我们传给形参的仅仅是一个实参的副本(Copy),当然由于栈内存变量共享的特征,这两个变量共同指向此变量值。
当我们对形参进行改变时,首先,在栈内存中会寻找是否存在新的变量值,如果有,则指向新的变量值(体现栈内存数据共享的特点)。如果没有的话,在栈内存中回开辟一块空间,存储新的变量值,同时形参变量会指向新的变量值。
此时我们发现,这时的变量值已经与实参的变量没有关系,两个独立的变量。所以经过函数后改变的变量值与之前的没有关系,故输出的还是之前的变量值。
另外,我们看到,当传递对象的引用时,person引用变量中存储的是Person对象在堆内存中的内存地址,所以传递的是内存地址(笔者理解为是一串数字)。此时两个形参变量是有共同的内存地址值,所以指向同一个内存对象。我们观察
发现,当我们改变对象中的属性值时,有牵一发而动全身的感觉,只要你改变这个对象,这个对象就被改变,而不存在另外开辟一个对象的概念(String类型和包装类型除外)。
PS:还没有写完,正在上班时间,晚上再写吧!
如有错误,请大家帮忙纠正一下。