是否存在同步文件流? [英] Is there a limiltation of simultaneous filestreams?
问题描述
我对使用同时打开的 fstream
s有一个战略问题。
我必须编写一个程序,该程序也读取了大量文件。每个文件中都有一堆标识符的信息,但是只有一次。我必须计算这些信息,然后将每个标识符的信息保存在单独的文件中。每个标识符都出现在多个文件中,并且每次应保存在同一文件中(一个标识符多次)。
我期望有数百个标识符,所以我怀疑我是否应该同时打开数百个文件组。
I have a strategic question to the use of simultaneously opened fstream
s.
I have to write a program which has too read a large amount of files. In each file there are information to a bunch of identifiers, but one time. I have to compute this information and than save it for each identifier in a separate file. Every identifier appears in several files and should be saved every time in the same file (One identifier with many times).
I expect some hundred identifiers so I doubt I should have several hundred filesteams open simultaneously.
那么同时文件流是否有限制?
还是您提出另一种方法?
So is there a limitation of simultaneous filestreams? Or do you propose another way of doing this?
该程序将计算大量数据(大约10GB或更大),并且可能计算几个小时。
The program will compute a massive amount of data (about 10GB or larger) and perhaps computes several hours.
谢谢
推荐答案
最终,一切都会受到限制。文件是操作系统管理的一个很好的例子,并且您必须参考OS文档中的特定限制。我相信在Linux中,它是可在内核中配置的。可能还会有用户和进程配额。
There's ultimately a limit to anything. Files are a perfect example of something managed by the operating system, and you will have to consult your OS documentation for the specific limit. In Linux, I believe it is configurable in the kernel. There may additionally be user and process quotas.
我认为200个要求不高。
I don't think 200 is too many to ask.
尝试查看非常简单。只需编写一个程序即可打开更多文件,直到出现错误为止。
It's quite simple to try and see. Just write a program that keeps opening more files until you get an error.
在Mac上OS X 10.8,此程序
On Mac OS X 10.8, this program
#include <iostream>
#include <fstream>
#include <iomanip>
#include <string>
int main() {
int i = 0;
std::ofstream *f;
do {
f = new std::ofstream( std::to_string( i ++ ) );
} while ( * f << "hello" << std::flush );
-- i; // Don't count last iteration, which failed to open anything.
std::cout << i << '\n';
}
产生输出 253
。因此,如果您使用的是Mac,那么您会很高兴:)。
Produces the output 253
. So if you're on a Mac, you're golden :) .
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