堆和栈的区别

The differences between the stack and the heap can be confusing for many people. So, we thought we would have a list of questions and answers about stacks and heaps that we thought would be very helpful.

Where are the stack and heap stored?

They are both stored in the computer’s RAM (Random Access Memory).

How do threads interact with the stack and the heap? How do the stack and heap work in multithreading?

In a multi-threaded application, each thread will have its own stack. But, all the different threads will share the heap. Because the different threads share the heap in a multi-threaded application, this also means that there has to be some coordination between the threads so that they don’t try to access and manipulate the same piece(s) of memory in the heap at the same time.

Can an object be stored on the stack instead of the heap?

Yes, an object can be stored on the stack. If you create an object inside a function without using the “new” operator then this will create and store the object on the stack, and not on the heap. Suppose we have a C++ class called Member, for which we want to create an object. We also have a function called somefunction( ). Here is what the code would look like:

Code to create an object on the stack:

void somefunction( )
{
/* create an object "m" of class Member
    this will be put on the stack since the 
    "new" keyword is not used, and we are 
   creating the object inside a function
*/
  
  Member m;

} //the object "m" is destroyed once the function ends

So, the object “m” is destroyed once the function has run to completion – or, in other words, when it “goes out of scope”. The memory being used for the object “m” on the stack will be removed once the function is done running.

If we want to create an object on the heap inside a function, then this is what the code would look like:

Code to create an object on the heap:

void somefunction( )
{
/* create an object "m" of class Member
    this will be put on the heap since the 
    "new" keyword is used, and we are 
   creating the object inside a function
*/
  
  Member* m = new Member( ) ;
  
  /* the object "m" must be deleted
      otherwise a memory leak occurs
  */

  delete m; 
} 

In the code above, you can see that the “m” object is created inside a function using the “new” keyword. This means that “m” will be created on the heap. But, since “m” is created using the “new” keyword, that also means that we must delete the “m” object on our own as well – otherwise we will end up with amemory leak.

How long does memory on the stack last versus memory on the heap?

Once a function call runs to completion, any data on the stack created specifically for that function call will automatically be deleted. Any data on the heap will remain there until it’s manually deleted by the programmer.

Can the stack grow in size? Can the heap grow in size?

The stack is set to a fixed size, and can not grow past it’s fixed size (although some languages have extensions that do allow this). So, if there isnotenough room on the stack to handle the memory being assigned to it, astack overflowoccurs. This often happens when a lot of nested functions are being called, or if there is an infinite recursive call.

If the current size of the heap is too small to accommodate new memory, then more memory can be added to the heap by the operating system. This is one of the big differences between the heap and the stack.

How are the stack and heap implemented?

The implementation really depends on the language, compiler, and run-time – thesmalldetails of the implementation for a stack and a heap will always be different depending on what language and compiler are being used. But, in the big picture, the stacks and heaps in one language are used to accomplish the same things as stacks and heaps in another language.

Which is faster – the stack or the heap? And why?

The stack is much faster than the heap. This is because of the way that memory is allocated on the stack. Allocating memory on the stack is as simple as moving the stack pointer up.

How is memory deallocated on the stack and heap?

Data on the stack isautomaticallydeallocated when variables go out of scope. However, in languages like C and C++, data stored on the heap has to be deletedmanuallyby the programmer using one of the built in keywords likefree, delete, or delete[ ]. Other languages like Java and .NET use garbage collection to automatically delete memory from the heap, without the programmer having to do anything..

What can go wrong with the stack and the heap?

If the stack runs out of memory, then this is called astack overflow– and could cause the program to crash. The heap could have the problem offragmentation, which occurs when the available memory on the heap is being stored as noncontiguous (or disconnected) blocks – becauseusedblocks of memory are in between theunusedmemory blocks. When excessive fragmentation occurs, allocating new memory may be impossible because of the fact that even though there is enough memory for the desired allocation, there may not be enough memory in one big block for the desired amount of memory.

Which one should I use – the stack or the heap?

For people new to programming, it’s probably a good idea to use the stack since it’s easier. Because the stack is small, you would want to use it when you know exactly how much memory you will need for your data, or if you know the size of your data is very small. It’s better to use the heap when you know that you will need a lot of memory for your data, or you just are not sure how much memory you will need (like with a dynamic array).


<think>好的,用户想了解区别以及函数调用时通常使用哪一种。首先,我需要回顾的基本概念。根据引用[2],函数调用时会使用来维护函数帧,包括临时变量现场保护。由系统自动管理,而需要手动分配释放,比如用malloc或new。 接下来,我得整理两者的主要区别。内存分配方式:自动分配,手动。管理方式:由编译器管理,由程序员控制。生命周期方面,变量随函数结束释放,需要显式释放。空间大小也不同,通常较小,较大。分配效率上,更快,较慢。碎片问题,几乎没有,可能有碎片。 然后,函数调用中的使用场景。根据引用[2],函数调用时使用来保存局部变量、参数返回地址。通常用于动态数据,如需要长期存在或大内存的情况。比如,在递归函数中,可能会溢出,这时候可能需要用,但一般情况下函数调用还是依赖。 用户可能还关心为什么函数调用用而不是,可能需要解释的高效自动管理的优势。另外,可能需要提到溢出内存泄漏的问题,帮助用户理解两者的风险。 需要确保回答结构清晰,分点说明区别,再分别说明使用场景。同时引用相关的参考资料,如函数帧的维护内存管理部分。最后,生成的相关问题要围绕的对比应用,可能包括内存分配错误、数据结构选择等。</think>### 的主要区别及函数调用时的使用场景 #### 一、的核心区别 1. **内存分配方式** - ****:由系统自动分配释放,例如函数调用时局部变量的存储空间$arr[0]$[^2] - ****:需手动申请(如`malloc`/`new`)释放(如`free`/`delete`),例如动态创建对象或数组 2. **管理方式生命周期** - ****:编译器自动管理,变量生命周期函数调用周期一致,函数结束时自动销毁[^2] - ****:程序员需显式控制内存生命周期,忘记释放会导致内存泄漏 3. **空间大小扩展性** - ****:空间有限(通常MB级别),超出容量会导致溢出(如深度递归时) - ****:可用空间可达系统虚拟内存上限,适合大块数据存储 4. **性能对比** - ****:分配仅需移动指针,效率高(纳秒级) - ****:需通过内存管理器,可能涉及系统调用,效率较低(微秒级) 5. **内存碎片** - ****:严格后进先出(LIFO),无碎片问题 - ****:频繁分配释放可能产生内存碎片 --- #### 二、函数调用中的典型应用 1. **的核心使用场景** - **局部变量存储**:如函数内定义的`int x`或结构体实例 - **函数调用链**:保存返回地址、参数传递、寄存器状态等 - **临时表达式计算**:如算术运算中间结果`(a+b)*c` - **自动作用域管理**:通过指针自动回收资源 2. **的典型应用场景** - **动态数据结构**:如链表节点`Node* p = new Node()` - **大内存需求**:超过容量的大型数组`int* buf = new int[1e6]` - **跨函数生命周期**:需在多个函数间共享的数据 - **不确定大小的对象**:如运行时决定长度的字符串 --- #### 三、示例对比 ```cpp // 内存示例:自动管理 void func_stack() { int a = 10; // 分配 char buffer[1024]; // 数组 } // 内存示例:手动管理 void func_heap() { int* p = new int(20); // 分配 delete p; // 必须显式释放 } ``` ---
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