in reply to temp hold logfiles in memory?
You mention that your program is 4-5 seconds per minute slower. Depending on the total number of minutes, that may not be a lot of time in the long view. Compare the amount of time you will save over the lifetime of the programs use to the amount of time it will take to find the true source of the slow down and optimize it away. Unless you are running this program over and over, need real-time responsiveness or you have a marketing reason to look fast and slick, you may want to ask whether optimization is even necessary.
If you still feel you need to optimize, you might be able to confirm your suspicions about the cause by running your script with the -d:DProf option. This will generate a file named tmon.out in the current directory. This file contains raw profiling data. You can analyzed the contents of the file, by typing the command dprofpp, which should be part of your Perl installation. This will give you an idea of how much time is taken by each subroutine. Thus your shell would look something like this:
$ perl -d:DProf myscript.pl $ dprofpp
If you are still convinced that buffering is the source of your problem, you may want to consider using the "sys" family of functions. These are low level functions that work directly with the file and will allow you to define your own buffer size and buffering strategy:
- sysopen to open the file
- syswrite to dump out your buffer
- sysread to read
- sysseek to move the cursor to some place other than the end of the previous read or write.
Before you make any changes, you should restructure your program so that the old file buffering code is encapsulated in a subroutine. The new code should also be in a subroutine. That way you can swap out the old and new code at will to compare them. Encapsulating the two approaches (Perl buffering vs. custom buffering) will also let you use a wonderful optimization tool, a core module built into Perl: Benchmark. This module lets you compare two subroutines to see which is faster. If you are going to put in the effort to optimize, it pays to make sure that you are actually making an improvement.
Finally, you may want to take a look at this Unix Review article, which goes over some of the basic tools for optimizing programs: Speeding up your Perl programs.