I have a large file (bigger then RAM, can't read whole at once) and i need to process it row by row (in c++). I want to utilize multiple cores, preferably with Intel TBB or Microsoft PPL. I would rather avoid preprocessing this file (like splitting it to 4 parts etc).
I was thinking about something like using 4 iterators, initialized to (0, n/4, 2*n/4 3*n/4) positions in the file etc.
Is it good solution and is there simple way to achieve it?
Or maybe you know some libs that supports efficient, concurrent reading of streams?
update:
I did tests. IO is not the bottleneck, CPU is. And I have lot of RAM for buffers.
I need to parse record (var size, approx. 2000 bytes each, records are separated by unique '\0' char), validate it, do some calculations, and write result to another file(s)
Since you are able to split it into N parts, it sounds like the processing of each row is largely independent. In that case, I think the simplest solution is to set up one thread to read the file line by line and place each row into a tbb::concurrent_queue. Then spawn as many threads as you need to pull rows off that queue and process them.
This solution is independent of the file size, and if you find you need more (or less) worker threads its trivial to change the number. But this won't work if there's some kind of dependencies between the rows... unless you set up a second poll of "post processing" threads to handle that, but then things may start to get too complex.