Fastest way to read part of 300 Gigabyte binary file
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@Please_Help_me_D said in Fastest way to read part of 300 Gigabyte binary file:
memory = reinterpret_cast<qint32*>(file.map(3600, 4));
You are mapping a region of 4 bytes yet trying to read way past that.
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@JonB no I don't want to change the content of a file. My file is like the following:
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first 3600 bytes describe the rest of the file. Here I get information how much rows Nb and columns N I have
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the rest of the file is a N-time repeating Nb number of bytes. We can represent this part as a matrix with Nb rows (or bytes if we multiply it by 4) and N columns and my task is to read a single row of this matrix, in other words I need to read every Nb byte since some starting byte (say 3600 or 3604 or something)
Actually it is a little bit more complicated and some rows of this "matrix" is of qint16, other qint32 adn single.
Here what I do and I get the correct values for few first qint32 rows:
qint64 N = 44861; qint64 Nb = 100; memory = reinterpret_cast<qint32*>(file.map(3600, 4)); for (int i = 0; i < N; i++){ std::cout << memory+i << std::endl; // adress std::cout << *(memory+i) << std::endl; // value }But my program breaks whe I try:
qint64 N = 44861; qint64 Nb = 100; memory = reinterpret_cast<qint32*>(file.map(3600, 4)); for (int i = 0; i < N; i++){ std::cout << memory+i*Nb << std::endl; std::cout << *(memory+i*Nb) << std::endl; }Application output:
15:54:06: C: \ Users \ tasik \ Documents \ Qt_Projects \ build-untitled1-Desktop_Qt_5_12_6_MSVC2017_64_bit-Release \ release \ untitled1.exe starts ...
15:54:09: C: \ Users \ tasik \ Documents \ Qt_Projects \ build-untitled1-Desktop_Qt_5_12_6_MSVC2017_64_bit-Release \ release \ untitled1.exe completed with the code -1073741819@Please_Help_me_D
I give up, I really don't understand what you think you are trying to achieve.If the data you want to fetch is physically separated all over the file, as you originally said if that hasn't changed, you are wasting your time trying to miraculously "coalesce/adjacentise" the data access in memory via mapping. It is vain attempt. Whichever way you look at it, if you have a physical hard disk it is going to have seek/move the head to reach discontinuous areas. That is what will "take time", and there is nothing you can do about it.....
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@Please_Help_me_D said in Fastest way to read part of 300 Gigabyte binary file:
memory = reinterpret_cast<qint32*>(file.map(3600, 4));
You are mapping a region of 4 bytes yet trying to read way past that.
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Hi all again,
I just noticed one thing:
if I iterate through the mapped file of size 14 GygaBite I can see memory consumption that eats 4 GB of RAM in about 10 seconds. After that I have to stop the execution because of my RAM limit but it doesn't have any signs that it is going to stop growing.For example this code produces all that I say on Windows 10 x64, Qt 5.14.0, MSVC 64 2017:
qFile = new QFile("myBigFile"); uchar* memFile_uchar = qFile->map(0, qFile->size()); int val; size_t I = qFile->size(); for(size_t i = 0; i < I; i++){ val = memFile_uchar[i]; }Hope somebody is able to explaing that...
PS: When I was using Matlab and memory mapping technique there I was able to see similar behaviour there.
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Hi all again,
I just noticed one thing:
if I iterate through the mapped file of size 14 GygaBite I can see memory consumption that eats 4 GB of RAM in about 10 seconds. After that I have to stop the execution because of my RAM limit but it doesn't have any signs that it is going to stop growing.For example this code produces all that I say on Windows 10 x64, Qt 5.14.0, MSVC 64 2017:
qFile = new QFile("myBigFile"); uchar* memFile_uchar = qFile->map(0, qFile->size()); int val; size_t I = qFile->size(); for(size_t i = 0; i < I; i++){ val = memFile_uchar[i]; }Hope somebody is able to explaing that...
PS: When I was using Matlab and memory mapping technique there I was able to see similar behaviour there.
@Please_Help_me_D
I'm not sure what you're asking here. You are mapping the whole of the file. As you begin to access data in the mapped area it gets brought into memory, and that takes up space. If you have limited memory, this is not a good idea.I haven't used memory mapping myself, but presumably if you want to keep memory usage down you have to do something like only map partial areas of the file at a time (arguments to
map()), and release previously mapped areas (unmap()). You'd have to test whether that actually results in less memory usage.If you are limited in memory compared to the size of the file, perhaps you shouldn't be using memory mapping at all. File seeking to desired data won't have a memory overhead. In the code you show you are reading the data just once, so there may not be much difference. Have you actually measured performance with file versus memory-map access?
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@Please_Help_me_D
I'm not sure what you're asking here. You are mapping the whole of the file. As you begin to access data in the mapped area it gets brought into memory, and that takes up space. If you have limited memory, this is not a good idea.I haven't used memory mapping myself, but presumably if you want to keep memory usage down you have to do something like only map partial areas of the file at a time (arguments to
map()), and release previously mapped areas (unmap()). You'd have to test whether that actually results in less memory usage.If you are limited in memory compared to the size of the file, perhaps you shouldn't be using memory mapping at all. File seeking to desired data won't have a memory overhead. In the code you show you are reading the data just once, so there may not be much difference. Have you actually measured performance with file versus memory-map access?
@JonB said in Fastest way to read part of 300 Gigabyte binary file:
I'm not sure what you're asking here. You are mapping the whole of the file. As you begin to access data in the mapped area it gets brought into memory, and that takes up space. If you have limited memory, this is not a good idea.
Well this helped me. So I divide my file by portions and
unmap()those portions when they become unuseful. In this case there is no such memory consumption
Thank you! -
@JonB said in Fastest way to read part of 300 Gigabyte binary file:
I'm not sure what you're asking here. You are mapping the whole of the file. As you begin to access data in the mapped area it gets brought into memory, and that takes up space. If you have limited memory, this is not a good idea.
Well this helped me. So I divide my file by portions and
unmap()those portions when they become unuseful. In this case there is no such memory consumption
Thank you!http://www.c-jump.com/bcc/c155c/MemAccess/MemAccess.html
https://stackoverflow.com/questions/14324709/c-how-to-directly-access-memorynot sure if my input helps, but i'm gonna try anyway ..
you could try to create dynamically very large array's in memory.
using try, catch and catch the exception to see how much space you can reserve in your ram.
and automatically scale down until no exception is thrown and your array fits.
than read the file in chunks according to space reserved in your ram.store data in a text file or so, in case you programs crashes half way through the file and you have to start all over again.
a sort of snapshot method.https://stackoverflow.com/questions/2513505/how-to-get-available-memory-c-g
how does the data look like?
ChiliTomatoNoodle learned me about Structs.
https://www.youtube.com/user/ChiliTomatoNoodle
so you could make an array of structs that fit your data. -
@JonB said in Fastest way to read part of 300 Gigabyte binary file:
I'm not sure what you're asking here. You are mapping the whole of the file. As you begin to access data in the mapped area it gets brought into memory, and that takes up space. If you have limited memory, this is not a good idea.
Well this helped me. So I divide my file by portions and
unmap()those portions when they become unuseful. In this case there is no such memory consumption
Thank you!this might help you out even more.
https://stackoverflow.com/questions/7749066/how-to-catch-out-of-memory-exception-in-c
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@Natural_Bugger thank you for help!
My data is a binary files from few Gb to hundreds Gb. I read it and write it by portions. I also use OpenMP to read it in parallel.
Now I solved the my task and I'm busy with other task for now but I think a little bit later I will try your solution -
@Natural_Bugger thank you for help!
My data is a binary files from few Gb to hundreds Gb. I read it and write it by portions. I also use OpenMP to read it in parallel.
Now I solved the my task and I'm busy with other task for now but I think a little bit later I will try your solution
