近期在公司中解决程序使用的内存高问题,将一部分之前无法回收的内存进行了回收,实现降内存效果(降实存)。
在统计效果时, QA问是统计RES(实存)还是VIRT(虚存)。
在网上学习看了一些博客,这里自己总结一下RES和VIRT的区别。
1. 概念
VIRT:
1、进程“需要的”虚拟内存大小,包括进程使用的库、代码、数据,以及malloc、new分配的堆空间和分配的栈空间等;
2、假如进程新申请10MB的内存,但实际只使用了1MB,那么它会增长10MB,而不是实际的1MB使用量。
3、VIRT = SWAP + RES
RES:
1、进程当前使用的内存大小,包括使用中的malloc、new分配的堆空间和分配的栈空间,但不包括swap out量;
2、包含其他进程的共享;
3、如果申请10MB的内存,实际使用1MB,它只增长1MB,与VIRT相反;
4、关于库占用内存的情况,它只统计加载的库文件所占内存大小。
5、RES = CODE + DATA
SHR:
1、除了自身进程的共享内存,也包括其他进程的共享内存;
2、虽然进程只使用了几个共享库的函数,但它包含了整个共享库的大小;
3、计算某个进程所占的物理内存大小公式:RES – SHR;
4、swap out后,它将会降下来。
2. 测试
(1) 使用堆分配内存, 进行测试:
#include <iostream>
#include <stdio.h>
#include <string.h> int main()
{
int test = ;
//分配512M, 未使用
char * p = new char [**];
scanf("%d", &test); //等待输入 //使用10M
memset(p, , * * );
scanf("%d", &test); //等待输入 //使用50M
memset(p, , * * );
scanf("%d", &test); //等待输入
delete [] p;
return ;
}
执行:
new 512M后,VIRT/RES
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" 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使用10M后,VIRT/RES
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" 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使用50M后,VIRT/RES
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" alt="" />
(2) 使用栈分配内存进行测试:
#include <iostream>
#include <stdio.h>
#include <string.h> int main()
{
int test = ;
//20M栈, 未使用
char p[**];
scanf("%d", &test); //等待输入 //使用10M
memset(p, , * * );
scanf("%d", &test); //等待输入
return ;
}
执行:
栈上申请20M
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" 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使用10M
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" alt="" />
3. 总结
堆、栈分配的内存,如果没有使用是不会占用实存的,只会记录到虚存。
如果程序占用实存比较多,说明程序申请内存多,实际使用的空间也多。
如果程序占用虚存比较多,说明程序申请来很多空间,但是没有使用。
工作中,遇到过有的程序虚存300G+, 实存只有不到15G。
参考:
1. https://www.cnblogs.com/zmlctt/p/3987181.html
2. https://blog.csdn.net/huyiyang2010/article/details/7815491