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I am running thounsand of curl background processes in parallel in the following bash script

START=$(date +%s)
for i in {1..100000}
    curl -s "http://some_url_here/"$i  > $i.txt&
    END=$(date +%s)
    DIFF=$(( $END - $START ))
    echo "It took $DIFF seconds"

I have 49Gb Corei7-920 dedicated server (not virtual).

I track memory consumption and CPU through top command and they are far away from bounds.

I am using ps aux | grep curl | wc -l to count the number of current curl processes. This number increases rapidly up to 2-4 thousands and then starts to continuously decrease.

If I add simple parsing through piping curl to awk (curl | awk > output) than curl processes number raise up just to 1-2 thousands and then decreases to 20-30...

Why number of processes decrease so dramatically? Where are the bounds of this architecture?

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migrated from serverfault.com Nov 18 '13 at 15:07

This question came from our site for system and network administrators.

You're probably hitting the one of the limits of max running processes or max open sockets. ulimit will show some of those limits. – HBruijn Nov 7 '13 at 17:07
I also would suggest using parallel(1) for such tasks: manpages.debian.org/cgi-bin/… – zhenech Nov 7 '13 at 17:50
Try start=$SECONDS and end=$SECONDS - and use lower case or mixed case variable names by habit in order to avoid potential name collision with shell variables. However, you're really only getting the ever-increasing time interval of the starting of each process. You're not getting how long the download took since the process is in the background (and start is only calculated once). In Bash, you can do (( diff = end - start )) dropping the dollar signs and allowing the spacing to be more flexible. Use pgrep if you have it. – Dennis Williamson Nov 7 '13 at 18:44
I agree with HBruijn. Notice how your process count is halved when you double the number of processes (by adding awk). – Dennis Williamson Nov 7 '13 at 18:44
@zhenech @HBrujin I launched parallel and it says me that I may run just 500 parallel tasks due to system limit of file handles. I raised limit in limits.conf, but now when I try to run 5000 simulaneus jobs it instantly eats all my memory (49 Gb) even before start because every parallel perl script eats 32Mb. – zavg Nov 7 '13 at 18:48

Following the question strict:

mycurl() {
    START=$(date +%s)
    curl -s "http://some_url_here/"$1  > $1.txt
    END=$(date +%s)
    DIFF=$(( $END - $START ))
    echo "It took $DIFF seconds"
export -f mycurl

seq 100000 | parallel -j0 mycurl

Shorter if you do not need the boilerplate text around the timings:

seq 100000 | parallel -j0 --joblog log curl -s http://some_url_here/{} ">" {}.txt
cut -f 4 log

If you want to run 1000s in parallel you will hit some limits (such as file handles). Raising ulimit -n or /etc/security/limits.conf may help.

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for i in {1..100000}

There are only 65536 ports. Throttle this.

for n in {1..100000..1000}; do   # start 100 fetch loops
        for i in `eval echo {$n..$((n+999))}`; do
                echo "club $i..."
                curl -s "http://some_url_here/"$i  > $i.txt
        done &

(edit: echocurl
(edit: strip severely dated assertion about OS limits and add the missing wait)

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Actually the OS can handle this just fine. This is a limitation of TCP. No OS, no matter how special, will be able to get around it. But OP's 4k connections is nowhere near 64k (or the 32k default of some distros) – Patrick Dec 22 '13 at 20:28
@Patrick okay, I took that part out, it's redundant with an irretrievable design limit, but look at zavg's comment on the 7th. – jthill Dec 23 '13 at 0:08

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