Tag: speed

Slow computer or slow internet? Also, comedy: “STOPTIONAL”

I recently visited a business that I’ve helped with computer problems for nearly 10 years. They claimed to need faster computers because their accountants were trying to send QuickBooks data files to themselves through remote desktop tools and the speed was pretty terrible. When I got there and talked to them for a bit, I realized they were probably on a 10-year-old DSL internet package, so I ran a speed test.

1.5 Mbps down, 0.5 Mbps (512 Kbps) up. That’s nowhere near fast enough to upload QuickBooks data files fast enough! I told them to call CenturyLink and see about upgrading their package, possibly saving them thousands of dollars in computer upgrades and replacements.

Also at the start of this video is a fake Monster energy drink “sponsorship” skit. Don’t worry about the loud crash; the Monster can survived intact. 😉

The key to faster shell scripts: know your shell’s features and use them!

I have a cleanup program that I’ve written as a Bash shell script. Over the years, it has morphed from a thing that just deleted a few fixed directories if they existed at all (mostly temporary file directories found on Windows) to a very flexible cleanup tool that can take a set of rules and rewrite and modify them to apply to multiple versions of Windows, along with safeguards that check the rules and auto-rewritten rules to prevent the equivalent of an “rm -rf /*” from happening. It’s incredibly useful for me; when I back up a customer’s PC data, I run the cleaner script first to delete many gigabytes of unnecessary junk and speed up the backup and restore process significantly.

Unfortunately, having the internal rewrite and safety check rules has the side effect of massively slowing the process. I’ve been tolerating the slowness for a long time, but as the rule set increased in size over the past few years the script has taken longer and longer to complete, so I finally decided to find out what was really going on and fix this speed problem.

Profiling shell scripts isn’t quite as easy as profiling C programs; with C, you can just use a tool like Valgrind to find out where all the effort is going, but shell scripts depend on the speed of the shell, the kernel, and the plethora of programs executed by the script, so it’s harder to follow what goes on and find the time sinks. However, I observed that a lot of time was spent in the steps between deleting items; since each rewrite and safety check is done on-the-fly as deletion rules are presented for processing, those were likely candidates. The first thing I wanted to know was how many times the script called an external program to do work; you can easily kill a shell script’s performance with unnecessary external program executions. To gather this info, I used the strace tool:

strace -f -o strace.txt tt_cleaner

This produced a file called “strace.txt” which contains every single system call issued by both the cleaner script and any forked programs. I then looked for the execve() system call and gathered the counts of the programs executed, excluding “execve resumed” events which aren’t actual execve() calls:

grep execve strace.txt | sed ‘s/.*execve/execve/’ | cut -d\” -f2 | grep -v resumed | sort | uniq -c | sort -g

The resulting output consisted of numbers below 100 until the last two lines, and that’s when I realized where the bottleneck might be:

4157 /bin/sed
11227 /usr/bin/grep

That’s a LOT of calls to sed, but the number of calls to grep was almost three times bigger, so that’s where I started to search for ways to improve. As I’ve said, the rewrite code takes each rule for deletion and rewrites it for other possible interpretations; “Username\Application Data” on Windows XP was moved to “Username\AppData\Roaming” on Vista and up, while “All Users\Application Data” was moved to “C:\ProgramData” in the same, plus there is a potential mirror of every single rule in “Username\AppData\Local\VirtualStore”. The rewrite code handles the expansion of the deletion rules to cover every single one of these possible cases. The outer loop of the rewrite engine grabs each rewrite rule in order while the inner loop does the actual rewriting to the current rule AND and all prior rewrites to ensure no possibilities are missed (VirtualStore is largely to blame for this double-loop architecture). This means that anything done within the inner loop is executed a huge number of times, and the very first command in the inner loop looked like this:

if echo “${RWNAMES[$RWNCNT]}” | grep -qi “${REWRITE0[$RWCNT]}”

This checks to see if the rewrite rule applies to the cleaner rule before doing the rewriting work. It calls grep once for every single iteration of the inner loop. I replaced this line with the following:

if [[ “${RWNAMES[$RWNCNT]}” =~ .*${REWRITE0[$RWCNT]}.* ]]

I had to also tack a “shopt -s nocasematch” to the top of the shell script to make the comparison case-insensitive. The result was a 6x speed increase. Testing on an existing data backup which had already been cleaned (no “work” to do) showed a consistent time reduction from 131 seconds to 22 seconds! The grep count dropped massively, too:

97 /usr/bin/grep

Bash can do wildcard and regular expression matching of strings (the =~ comparison operator is a regex match), so anywhere your shell script uses the “echo-grep” combination in a loop stands to benefit greatly by exploiting these Bash features. Unfortunately, these are not POSIX shell features and using them will lead to non-portable scripts, but if you will never use the script on other shells and the performance boost is significant, why not use them?

The bigger lesson here is that you should take some time to learn about the features offered by your shell if you’re writing advanced shell scripts.

Update: After writing this article, I set forth to eliminate the thousands of calls to sed. I was able to change an “echo-sed” combination to a couple of Bash substring substitutions. Try it out:

FOO=${VARIABLE/string_to_replace/replacement}

It accepts $VARIABLES where the strings go, so it’s quite powerful. Best of all, the total runtime dropped to 10.8 seconds for a total speed boost of over 11x!

SOLUTION: Sylvania G and Windows XP timing issues

This excerpt is from the Tritech Computer Solutions page called Sylvania G Netbook Tips and Tricks.

Thanks to a helpful developer at the ZSNES forum, we found the solution to the VIA C7 platform speed/timing problems with certain programs.

Edit C:\BOOT.INI and add the /usepmtimer switch to the boot command line for Windows XP. This uses a timer that is stable even when in power management modes, which means that the throttling of the C7 CPU and accompanying chipset do not affect its timing characteristics.

Some applications like ZSNES rely on a very precise and stable timing mechanism (in the case of ZSNES, speed regulation depends on QueryPerformanceCounter) and the normal timer on this platform is unstable in certain power management states. Also, we used WCPUID’s real-time clock display to figure out that the System control panel (sysdm.cpl) reports the frequency wrong on the C7 and that it is in fact running at 1200 MHz when under a full load, despite Windows’ insistence that somehow the CPU is going as low as 198 MHz when the lowest ACPI P-state is 400 MHz.

If you have games on this netbook and are experiencing strange timing jerks or other glitches, you need this simple fix.