If you have 1,000,0000 source files, you suspect they are all the same, and you want to compare them what is the current fasted method to compare those files? Assume they are Java files and platform where the comparison is done is not important. cksum is making me cry. When I mean identical I mean ALL identical.
Update: I know about generating checksums. diff is laughable ... I want speed.
Update: Don't get stuck on the fact they are source files. Pretend for example you took a million runs of a program with very regulated output. You want to prove all 1,000,000 versions of the output are the same.
Update: read the number of blocks rather than bytes? Immediatly throw out those? Is that faster than finding the number of bytes?
Update: Is this ANY different than the fastest way to compare two files?
Probably the easiest way to compare two files is to use the diff command. The output will show you the differences between the two files. The < and > signs indicate whether the extra lines are in the first (<) or second (>) file provided as arguments.
I'd opt for something like the approach taken by the cmp
program: open two files (say file 1 and file 2), read a block from each, and compare them byte-by-byte. If they match, read the next block from each, compare them byte-by-byte, etc. If you get to the end of both files without detecting any differences, seek to the beginning of file 1, close file 2 and open file 3 in its place, and repeat until you've checked all files. I don't think there's any way to avoid reading all bytes of all files if they are in fact all identical, but I think this approach is (or is close to) the fastest way to detect any difference that may exist.
OP Modification: Lifted up important comment from Mark Bessey
"another obvious optimization if the files are expected to be mostly identical, and if they're relatively small, is to keep one of the files entirely in memory. That cuts way down on thrashing trying to read two files at once."
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