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堆与栈_tervse.jbi6l1.top

tervse.jbi6l1.top
<p>堆区:</p><p>村线程操纵的数据(对象形式存放)</p><p>1 存储的全部是对象,每个对象包含一个与之对应的class信息--class的目的是得到操作指令</p><p>2 jvm只有一个堆区(heap)被所有线程共享,堆区中不存放基本类型和对象引用,只存放对象本身。</p><p>栈区:</p><p>1 每个线程包含一个栈区,栈中只保存基础数据类型的对象和自定义对象的引用(不是对象)。对象都存放在堆区中。</p><p>2 每个战中的数据(基础数据类型和对象引用)都是私有的,其他栈不能访问。</p><p>3 栈分为3个部分:基本类型变量去,执行环境上下文,操作指令区(存放操作指令).</p><p>方法区:</p><p>存放线程所执行的字节码指令。</p><p>1 又叫静态区,跟堆一样.被所有线程共享.方法区包含:所有的class和static变量.</p><p>2 方法区中包含的是在整个程序中唯一的元素.如class static 变量.</p><p> </p><p><img alt="" 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" width="497" height="232" /></p><p>AppMain.java
public   class  AppMain                //运行时, jvm 把appmain的信息都放入方法区
{
public   static   void  main(String[] args)  //main 方法本身放入方法区。
{
Sample test1 = new  Sample( " 测试1 " );   //test1是引用,所以放到栈区里, Sample是自定义对象应该放到堆里面
Sample test2 = new  Sample( " 测试2 " );

test1.printName();
test2.printName();
} 
} 


Sample.java



 public   class  Sample        //运行时, jvm 把appmain的信息都放入方法区
{
/** 范例名称 */ 
private  name;      //new Sample实例后, name 引用放入栈区里,  name 对象放入堆里

/** 构造方法 */ 
public  Sample(String name)
{
this .name = name;
} 

/** 输出 */ 
public   void  printName()   //print方法本身放入 方法区里。
{
System.out.println(name);
} 
}</p><p>系统收到了我们发出的指令,启动了一个Java虚拟机进程,
这个进程首先从classpath中找到AppMain.class文件,读取这个文件中的二进制数据,
然后把Appmain类的类信息存放到运行时数据区的方法区中。这一过程称为AppMain类的加载过程。
接着,
Java虚拟机定位到方法区中AppMain类的Main()方法的字节码,开始执行它的指令。
这个main()方法的第一条语句就是:
Sample test1=new Sample("测试1");
语句很简单啦,就是让java虚拟机创建一个Sample实例,并且呢,使引用变量test1引用这个实例。貌似小case一桩哦,就让我们来跟踪一下Java虚拟机,看看它究竟是怎么来执行这个任务的:

1、 Java虚拟机一看,不就是建立一个Sample实例吗,简单,于是就直奔方法区而去,先找到Sample类的类型信息再说。结果呢,嘿嘿,没找到@@,这会儿的方法区里还没有Sample类呢。可Java虚拟机也不是一根筋的笨蛋,于是,它发扬“自己动手,丰衣足食”的作风,立马加载了Sample类,把Sample类的类型信息存放在方法区里。

2、 好啦,资料找到了,下面就开始干活啦。Java虚拟机做的第一件事情就是在堆区中为一个新的Sample实例分配内存, 这个Sample实例持有着指向方法区的Sample类的类型信息的引用。这里所说的引用,实际上指的是Sample类的类型信息在方法区中的内存地址,其实,就是有点类似于C语言里的指针啦~~,而这个地址呢,就存放了在Sample实例的数据区里。

3、 在JAVA虚拟机进程中,每个线程都会拥有一个方法调用栈,用来跟踪线程运行中一系列的方法调用过程,栈中的每一个元素就被称为栈帧,每当线程调用一个方法的时候就会向方法栈压入一个新帧。这里的帧用来存储方法的参数、局部变量和运算过程中的临时数据。OK,原理讲完了,就让我们来继续我们的跟踪行动!位于“=”前的Test1是一个在main()方法中定义的变量,可见,它是一个局部变量,因此,它被会添加到了执行main()方法的主线程的JAVA方法调用栈中。而“=”将把这个test1变量指向堆区中的Sample实例,也就是说,它持有指向Sample实例的引用。

OK,到这里为止呢,JAVA虚拟机就完成了这个简单语句的执行任务。参考我们的行动向导图,我们终于初步摸清了JAVA虚拟机的一点点底细了,COOL!

接下来,JAVA虚拟机将继续执行后续指令,在堆区里继续创建另一个Sample实例,然后依次执行它们的printName()方法。当JAVA虚拟机执行test1.printName()方法时,JAVA虚拟机根据局部变量test1持有的引用,定位到堆区中的Sample实例,再根据Sample实例持有的引用,定位到方法去中Sample类的类型信息,从而获得printName()方法的字节码,接着执行printName()方法包含的指令。</p>
 
 
 
Java的堆是一个运行时数据区,类的(对象从中分配空间。这些对象通过new、newarray、anewarray和multianewarray等 指令建立,它们不需要程序代码来显式的释放。堆是由垃圾回收来负责的,堆的优势是可以动态地分配内存大小,生存期也不必事先告诉编译器,因为它是在运行时 动态分配内存的,Java的垃圾收集器会自动收走这些不再使用的数据。但缺点是,由于要在运行时动态分配内存,存取速度较慢。 

栈的优势是,存取速度比堆要快,仅次于寄存器,栈数据可以共享。但缺点是,存在栈中的数据大小与生存期必须是确定的,缺乏灵活性。栈中主要存放一些基本类 型的变量(,int, short, long, byte, float, double, boolean, char)和对象句柄。 

栈有一个很重要的特殊性,就是存在栈中的数据可以共享。假设我们同时定义: 
int a = 3; 
int b = 3; 
编译器先处理int a = 3;首先它会在栈中创建一个变量为a的引用,然后查找栈中是否有3这个值,如果没找到,就将3存放进来,然后将a指向3。接着处理int b = 3;在创建完b的引用变量后,因为在栈中已经有3这个值,便将b直接指向3。这样,就出现了a与b同时均指向3的情况。 

这时,如果再令a=4;那么编译器会重新搜索栈中是否有4值,如果没有,则将4存放进来,并令a指向4;如果已经有了,则直接将a指向这个地址。因此a值的改变不会影响到b的值。 

要注意这种数据的共享与两个对象的引用同时指向一个对象的这种共享是不同的,因为这种情况a的修改并不会影响到b, 它是由编译器完成的,它有利于节省空间。而一个对象引用变量修改了这个对象的内部状态,会影响到另一个对象引用变量。 

String是一个特殊的包装类数据。可以用: 
String str = new String("abc"); 
String str = "abc"; 
两种的形式来创建,第一种是用new()来新建对象的,它会在存放于堆中。每调用一次就会创建一个新的对象。 
而第二种是先在栈中创建一个对String类的对象引用变量str,然后查找栈中有没有存放"abc",如果没有,则将"abc"存放进栈,并令str指向”abc”,如果已经有”abc” 则直接令str指向“abc”。 

比较类里面的数值是否相等时,用equals()方法;当测试两个包装类的引用是否指向同一个对象时,用==,下面用例子说明上面的理论。 
String str1 = "abc"; 
String str2 = "abc"; 
System.out.println(str1==str2); //true 
可以看出str1和str2是指向同一个对象的。 

String str1 =new String ("abc"); 
String str2 =new String ("abc"); 
System.out.println(str1==str2); // false 
用new的方式是生成不同的对象。每一次生成一个。 


因此用第一种方式创建多个”abc”字符串,在内存中其实只存在一个对象而已. 这种写法有利与节省内存空间. 同时它可以在一定程度上提高程序的运行速度,因为JVM会自动根据栈中数据的实际情况来决定是否有必要创建新对象。而对于String str = new String("abc");的代码,则一概在堆中创建新对象,而不管其字符串值是否相等,是否有必要创建新对象,从而加重了程序的负担。 

另一方面, 要注意: 我们在使用诸如String str = "abc";的格式定义类时,总是想当然地认为,创建了String类的对象str。担心陷阱!对象可能并没有被创建!而可能只是指向一个先前已经创建的 对象。只有通过new()方法才能保证每次都创建一个新的对象。 
由于String类的immutable性质,当String变量需要经常变换其值时,应该考虑使用StringBuffer类,以提高程序效率。 



其它答案:

(一)
第一,从软件设计的角度看,栈代表了处理逻辑,而堆代表了数据。这样分开,使得处理逻辑更为清晰。分而治之的思想。这种隔离、模块化的思想在软件设计的方方面面都有体现。

第二,堆与栈的分离,使得堆中的内容可以被多个栈共享(也可以理解为多个线程访问同一个对象)。这种共享的收益是很多的。一方面这种共享提供了一种有效的数据交互方式(如:共享内存),另一方面,堆中的共享常量和缓存可以被所有栈访问,节省了空间。

第三,栈因为运行时的需要,比如保存系统运行的上下文,需要进行地址段的划分。由于栈只能向上增长,因此就会限制住栈存储内容的能力。而堆不同,堆中的对象是可以根据需要动态增长的,因此栈和堆的拆分,使得动态增长成为可能,相应栈中只需记录堆中的一个地址即可。

第四,面向对象就是堆和栈的完美结合。其实,面向对象方式的程序与以前结构化的程序在执行上没有任何区别。但是,面向对象的引入,使得对待问题的思考方式发生了改变,而更接近于自然方式的思考。当我们把对象拆开,你会发现,对象的属性其实就是数据,存放在堆中;而对象的行为(方法),就是运行逻辑,放在栈中。我们在编写对象的时候,其实即编写了数据结构,也编写的处理数据的逻辑。不得不承认,面向对象的设计,确实很美。

(二)

堆是先进先出,而栈是先进后处 

1. 栈(stack)与堆(heap)都是Java用来在Ram中存放数据的地方。与C++不同,Java自动管理栈和堆,程序员不能直接地设置栈或堆。 

2. 栈的优势是,存取速度比堆要快,仅次于直接位于CPU中的寄存器。但缺点是,存在栈中的数据大小与生存期必须是确定的,缺乏灵活性。另外,栈数据可以共享,详见第3点。堆的优势是可以动态地分配内存大小,生存期也不必事先告诉编译器,Java的垃圾收集器会自动收走这些不再使用的数据。但缺点是,由于要在运行时动态分配内存,存取速度较慢

(三)

Java把内存划分成两种:一种是栈内存,一种是堆内存。

在函数中定义的一些基本类型的变量和对象的引用变量都在函数的栈内存中分配。

当在一段代码块定义一个变量时,Java就在栈中为这个变量分配内存空间,当超过变量的作用域后,Java会自动释放掉为该变量所分配的内存空间,该内存空间可以立即被另作他用。

堆内存用来存放由new创建的对象和数组。

在堆中分配的内存,由Java虚拟机的自动垃圾回收器来管理。

在堆中产生了一个数组或对象后,还可以在栈中定义一个特殊的变量,让栈中这个变量的取值等于数组或对象在堆内存中的首地址,栈中的这个变量就成了数组或对象的引用变量。

引用变量就相当于是为数组或对象起的一个名称,以后就可以在程序中使用栈中的引用变量来访问堆中的数组或对象。
(四)

heap堆:用来存放new出来的东西
stack栈:局部变量。
data segment:静态变量,字符串常量。
code segment:存放代码
(五)

例如 String str = new String("test");
这条语句,它的执行过程是先在堆上new 了一个值为"test"的String对象,然后栈上又新建一个str
来指向上面新建的"test"对象,即str是"test"的引用。
所以Java中对象的新建都是在堆上进行的,对象的引用一般都是在栈上。一般每个方法的调用都会独立有一个栈来保存str这样的对象的引用变量,在方法返回后,栈会清空,所以引用变量会被清空掉,这是堆上的对象,如果没有其他的引用变量引用它,就会被Gc在某个合适的时候gc掉。
上面说的就是栈和堆的作用在程序执行过程中。

(六)

<pre class="reply-text mb10" id="content-916656688" name="code" style="white-space: pre-wrap; word-wrap: break-word;">堆上分配的是不定大小的对象,大小不固定
基本数据类型(int,short)什么的都在栈上,栈上对象的大小是固定的
堆上对象的引用也在栈上,如果堆上的对象在栈上没有了引用,他就被GC回收了

 
(七) 

堆是由垃圾回收来负责的,堆的优势是可以动态地分配内存大小,生存期也不必事先告诉编译器,因为它是在运行时 动态分配内存的,Java的垃圾收集器会自动收走这些不再使用的数据。但缺点是,由于要在运行时动态分配内存,存取速度较慢。 

栈的优势是,存取速度比堆要快,仅次于寄存器,栈数据可以共享。但缺点是,存在栈中的数据大小与生存期必须是确定的,缺乏灵活性。栈中主要存放一些基本类 型的变量(,int, short, long, byte, float, double, boolean, char)和对象句柄。 
(八)

>>>堆栈。驻留于常规 RAM(随机访问存储器)区域,但可通过它的“堆栈指针”获得处理的直接支持。堆 栈指针若向下移,会创建新的内存;若向上移,则会释放那些内存。这是一种特别快、特别有效的数据保存方式,仅次于寄存器。创建程序时,Java 编译器必须准确地知道堆栈内保存的所有数据的“长度”以及“存 在时间”。这是由于它必须生成相应的代码,以便向上和向下移动指针。这一限制无疑影响了程序的灵活 性,所以尽管有些 Java 数据要保存在堆栈里——特别是对象句柄,但 Java 对象并不放到其中。 
>>>堆。一种常规用途的内存池(也在 RAM 区域),其中保存了 Java 对象。和堆栈不同,“内存堆”或 “堆”(Heap)最吸引人的地方在于编译器不必知道要从堆里分配多少存储空间,也不必知道存储的数据要 在堆里停留多长的时间。因此,用堆保存数据时会得到更大的灵活性。要求创建一个对象时,只需用new 命 令编制相关的代码即可。执行这些代码时,会在堆里自动进行数据的保存。当然,为达到这种灵活性,必然 会付出一定的代价:在堆里分配存储空间时会花掉更长的时间!

(九)

一、预备知识—程序的内存分配 
一个由c/C++编译的程序占用的内存分为以下几个部分 
1、栈区(stack)— 由编译器自动分配释放 ,存放函数的参数值,局部变量的值等。其操作方式类似于数据结构中的栈。 
2、堆区(heap) — 一般由程序员分配释放, 若程序员不释放,程序结束时可能由OS回收 。注意它与数据结构中的堆是两回事,分配方式倒是类似于链表,呵呵。 
3、全局区(静态区)(static)—,全局变量和静态变量的存储是放在一块的,初始化的全局变量和静态变量在一块区域, 未初始化的全局变量和未初始化的静态变量在相邻的另一块区域。 - 程序结束后有系统释放 
4、文字常量区 —常量字符串就是放在这里的。 程序结束后由系统释放 
5、程序代码区—存放函数体的二进制代码。 

二、例子程序 
这是一个前辈写的,非常详细 
//main.cpp 
int a = 0; 全局初始化区 
char *p1; 全局未初始化区 
main() 

int b; 栈 
char s[] = "abc"; 栈 
char *p2; 栈 
char *p3 = "123456"; 123456在常量区,p3在栈上。 
static int c =0; 全局(静态)初始化区 
p1 = (char *)malloc(10); 
p2 = (char *)malloc(20); 
分配得来得10和20字节的区域就在堆区。 
strcpy(p1, "123456"); 123456放在常量区,编译器可能会将它与p3所指向的"123456"优化成一个地方。 

二、堆和栈的理论知识 
2.1申请方式 
stack: 
由系统自动分配。 例如,声明在函数中一个局部变量 int b; 系统自动在栈中为b开辟空间 
heap: 
需要程序员自己申请,并指明大小,在c中malloc函数 
如p1 = (char *)malloc(10); 
在C++中用new运算符 
如p2 = (char *)malloc(10); 
但是注意p1、p2本身是在栈中的。 
2.2 
申请后系统的响应 
栈:只要栈的剩余空间大于所申请空间,系统将为程序提供内存,否则将报异常提示栈溢出。 
堆:首先应该知道操作系统有一个记录空闲内存地址的链表,当系统收到程序的申请时, 
会遍历该链表,寻找第一个空间大于所申请空间的堆结点,然后将该结点从空闲结点链表中删除,并将该结点的空间分配给程序,另外,对于大多数系统,会在这块内存空间中的首地址处记录本次分配的大小,这样,代码中的delete语句才能正确的释放本内存空间。另外,由于找到的堆结点的大小不一定正好等于申请的大小,系统会自动的将多余的那部分重新放入空闲链表中。 
2.3申请大小的限制 
栈:在Windows下,栈是向低地址扩展的数据结构,是一块连续的内存的区域。这句话的意思是栈顶的地址和栈的最大容量是系统预先规定好的,在 WINDOWS下,栈的大小是2M(也有的说是1M,总之是一个编译时就确定的常数),如果申请的空间超过栈的剩余空间时,将提示overflow。因此,能从栈获得的空间较小。 
堆:堆是向高地址扩展的数据结构,是不连续的内存区域。这是由于系统是用链表来存储的空闲内存地址的,自然是不连续的,而链表的遍历方向是由低地址向高地址。堆的大小受限于计算机系统中有效的虚拟内存。由此可见,堆获得的空间比较灵活,也比较大。 
2.4申请效率的比较: 
栈由系统自动分配,速度较快。但程序员是无法控制的。 
堆是由new分配的内存,一般速度比较慢,而且容易产生内存碎片,不过用起来最方便. 
另外,在WINDOWS下,最好的方式是用VirtualAlloc分配内存,他不是在堆,也不是在栈是直接在进程的地址空间中保留一快内存,虽然用起来最不方便。但是速度快,也最灵活 
2.5堆和栈中的存储内容 
栈: 在函数调用时,第一个进栈的是主函数中后的下一条指令(函数调用语句的下一条可执行语句)的地址,然后是函数的各个参数,在大多数的C编译器中,参数是由右往左入栈的,然后是函数中的局部变量。注意静态变量是不入栈的。 
当本次函数调用结束后,局部变量先出栈,然后是参数,最后栈顶指针指向最开始存的地址,也就是主函数中的下一条指令,程序由该点继续运行。 
堆:一般是在堆的头部用一个字节存放堆的大小。堆中的具体内容有程序员安排。 
2.6存取效率的比较 

char s1[] = "aaaaaaaaaaaaaaa"; 
char *s2 = "bbbbbbbbbbbbbbbbb"; 
aaaaaaaaaaa是在运行时刻赋值的; 
而bbbbbbbbbbb是在编译时就确定的; 
但是,在以后的存取中,在栈上的数组比指针所指向的字符串(例如堆)快。 
比如: 
#include <stdio.h> 
void main() 

char a = 1; 
char c[] = "1234567890"; 
char *p ="1234567890"; 
a = c[1]; 
a = p[1]; 
return; 

对应的汇编代码 
10: a = c[1]; 
00401067 8A 4D F1 mov cl,byte ptr [ebp-0Fh] 
0040106A 88 4D FC mov byte ptr [ebp-4],cl 
11: a = p[1]; 
0040106D 8B 55 EC mov edx,dword ptr [ebp-14h] 
00401070 8A 42 01 mov al,byte ptr [edx+1] 
00401073 88 45 FC mov byte ptr [ebp-4],al 
第一种在读取时直接就把字符串中的元素读到寄存器cl中,而第二种则要先把指针值读到edx中,在根据edx读取字符,显然慢了。 


2.7小结: 
堆和栈的区别可以用如下的比喻来看出: 
使用栈就象我们去饭馆里吃饭,只管点菜(发出申请)、付钱、和吃(使用),吃饱了就走,不必理会切菜、洗菜等准备工作和洗碗、刷锅等扫尾工作,他的好处是快捷,但是自由度小。 
使用堆就象是自己动手做喜欢吃的菜肴,比较麻烦,但是比较符合自己的口味,而且自由度大。 

堆和栈的区别主要分: 
操作系统方面的堆和栈,如上面说的那些,不多说了。 
还有就是数据结构方面的堆和栈,这些都是不同的概念。这里的堆实际上指的就是(满足堆性质的)优先队列的一种数据结构,第1个元素有最高的优先权;栈实际上就是满足先进后出的性质的数学或数据结构。 

虽然堆栈,堆栈的说法是连起来叫,但是他们还是有很大区别的,连着叫只是由于历史的原因。





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