I have a 2 GB file (iputfile.txt
) in which every line in the file is a word, just like:
apple
red
beautiful
smell
spark
input
I am not expert in C++, but you have at least the following to affect performance:
Since I/O cost is the major cost here, I guess 1 and 2 are the major reasons.
I would suspect that the main difference is that java.io.BufferedReader
performs better than the std::ifstream
because it buffers, while the ifsteam does not. The BufferedReader reads large chunks of the file in advance and hands them to your program from RAM when you call readLine()
, while the std::ifstream only reads a few bytes at a time when you prompt it to by calling the >>
-operator.
Sequential access of large amounts of data from the hard drive is usually much faster than accessing many small chunks one at a time.
A fairer comparison would be to compare std::ifstream to the unbuffered java.io.FileReader.
I would also try using mmap instead of standard file read/write. This should let your OS handle the reading and writing while your application is only concerned with the data.
There's no situation where C++ can't be faster than Java, but sometimes it takes a lot of work from very talented people. But I don't think this one should be too hard to beat as it is a straightforward task.
mmap for Windows is described in File Mapping (MSDN).
There are a number of significant differences in the way the languages handle I/O, all of which can make a difference, one way or another.
Perhaps the first (and most important) question is: how is the data encoded in the text file. If it is single-byte characters (ISO 8859-1 or UTF-8), then Java has to convert it into UTF-16 before processing; depending on the locale, C++ may (or may not) also convert or do some additional checking.
As has been pointed out (partially, at least), in C++, >>
uses
a locale specific isspace
, getline
will simply compare for
'\n'
, which is probably faster. (Typical implementations of
isspace
will use a bitmap, which means an additional memory
access for each character.)
Optimization levels and specific library implementations may also vary. It's not unusual in C++ for one library implementation to be 2 or 3 times faster than another.
Finally, a most significant difference: C++ distinguishes
between text files and binary files. You've opened the file in
text mode; this means that it will be "preprocessed" at the
lowest level, before even the extraction operators see it. This
depends on the platform: for Unix platforms, the "preprocessing"
is a no-op; on Windows, it will convert CRLF pairs into '\n'
,
which will have a definite impact on performance. If I recall
correctly (I've not used Java for some years), Java expects
higher level functions to handle this, so functions like
readLine
will be slightly more complicated. Just guessing
here, but I suspect that the additional logic at the higher
level costs less in runtime than the buffer preprocessing at the
lower level. (If you are testing under Windows, you might
experiment with opening the file in binary mode in C++. This
should make no difference in the behavior of the program when
you use >>
; any extra CR will be considered white space. With
getline
, you'll have to add logic to remove any trailing
'\r'
to your code.)
You aren't comparing the same thing. The Java program reads lines, depening on the newline, while the C++ program reads white space delimited "words", which is a little extra work.
Try istream::getline
.
Later
You might also try and do an elementary read operation to read a byte array and scan this for newlines.
Even later
On my old Linux notebook, jdk1.7.0_21 and don't-tell-me-it's-old 4.3.3 take about the same time, comparing with C++ getline. (We have established that reading words is slower.) There isn't much difference between -O0 and -O2, which doesn't surprise me, given the simplicity of the code in the loop.
Last note As I suggested, fin.read(buffer,LEN) with LEN = 1MB and using memchr to scan for '\n' results in another speed improvement of about 20%, which makes C (there isn't any C++ left by now) faster than Java.