[SR-Users] Slowly increasing PKG memory usage
Daniel-Constantin Mierla
miconda at gmail.com
Fri Aug 2 15:44:30 CEST 2019
Hello,
are you defining a lot of kamailio variables in your ruby script? In
other words, are you using variables with different name, like $var(xyz)
or $sht(a=>xyz), where xyz is passed from/computed in ruby script and is
changing depending of the sip message?
Cheers,
Daniel
On 01.08.19 15:34, Andrew White wrote:
> Thanks Daniel, you’re fantastic!
>
> I have 4 children/workers configured with -m 128 -M 32. The machine in
> question has 512MB of memory, 1 core and 1GB swap on an SSD.
>
> I restarted Kamailio with memlog=1 and I’ve been sending batches of 30
> calls in. I’ve noticed 4 of the 13 Kamailio processes going up in
> memory after each batch, which I suspect to be the primary
> children/workers. Immediately post restart:
>
> root 28531 0.7 5.5 329368 27196 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28532 0.6 4.9 329368 24528 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28533 0.6 5.5 329368 27244 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28534 0.7 5.4 329368 26788 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
>
> After about 90 calls:
>
> root 28531 0.0 6.7 330688 32948 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28532 0.0 6.5 330560 32264 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28533 0.0 6.5 330556 32272 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28534 0.0 6.6 330564 32592 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
>
> None of the other 9 Kamailio processes are increasing at all.
>
> I ran corex.pkg_summary against one of them and got the following dump:
>
> https://paste.ubuntu.com/p/SqTF3K5knK/
>
> I can see a lot of allocation to pvapi.c, does this indicate maybe I’m
> setting PVs that need to be unset?
>
> Here’s another after another 60 calls:
>
> https://paste.ubuntu.com/p/9WQXqZtfT2/
>
> root 28531 0.0 6.9 330820 33928 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28532 0.0 6.7 330692 33352 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28533 0.0 6.7 330688 33280 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
> root 28534 0.0 6.7 330696 33192 ? Sl 22:48 0:00
> /usr/local/sbin/kamailio -DD -P /var/run/kamailio/kamailio.pid -f
> /etc/kamailio/kamailio.cfg -m 128 -M 32
>
> The only changes I’ve made on this config over the last couple of
> weeks (since I saw this issue) is removing the dispatcher module and
> adding in a small function in app_ruby (which I already use) to query
> redis (which I also already use from app_ruby and make a heap of
> queries per call) for some values and write $du manually. I also added
> in the topoh module.
>
> It also makes a lot of sense to me to monitor the individual processes
> rather than the aggregate. Is there a way to identify simply from bash
> what processes are workers programmatically? I’d like to monitor just
> those individually in my monitoring.
>
> Thanks!
>
> Andrew
>
>
>> On 1 Aug 2019, at 8:24 pm, Daniel-Constantin Mierla
>> <miconda at gmail.com <mailto:miconda at gmail.com>> wrote:
>>
>> Hello,
>>
>> if it is pkg, then you have to see which process is increasing the
>> use of memory, because it is private memory, specific for each
>> process. The sum is an indicator, but the debugging has to be done
>> for a specific process/pid.
>>
>> Once you indentify a process that is leaking pkg, execute the rpc
>> command:
>>
>> -
>> https://www.kamailio.org/docs/modules/devel/modules/corex.html#corex.rpc.pkg_summary
>>
>> When that process is doing some runtime work (e.g., handling of a sip
>> message), the syslog will get a summary with used pkg chunks. Send
>> those log messages here for analysis. You have to set memlog core
>> parameter to a value smaller than debug.
>>
>> Cheers,
>> Daniel
>>
>>
>> On 01.08.19 03:43, Andrew White wrote:
>>> Hi all,
>>>
>>> I had a Kamailio crash the other day, and some debugging showed I
>>> ran out of PKG memory.
>>>
>>> Since then I’ve run a simple bash script to compile the amount of
>>> memory used by all child processes, effective /usr/local/sbin/kamcmd
>>> pkg.stats | grep real_used summed together. I’ve graphed out the
>>> data, and there’s a clear growth of PKG memory going on, mostly
>>> increasing during our busier daytime hours.
>>>
>>> https://i.imgur.com/UTzx2k1.png
>>>
>>> Based on this, I suspect either a module loaded or something within
>>> my app_ruby conf is leaking memory.
>>>
>>> I’ve been reading
>>> through https://www.kamailio.org/wiki/tutorials/troubleshooting/memory,
>>> but I’m a bit nervous, as I’m not really a C/deep memory type of
>>> guy. I can see a GDB script I can attach to Kamailio, but is that
>>> going to use significant resources to run or impact the running
>>> process? Is there a newer/better/alternative way to do this, and to
>>> help me break this down?
>>>
>>> Thanks!
>>>
>>> Andrew
>>>
>>> _______________________________________________
>>> Kamailio (SER) - Users Mailing List
>>> sr-users at lists.kamailio.org
>>> https://lists.kamailio.org/cgi-bin/mailman/listinfo/sr-users
>> --
>> Daniel-Constantin Mierla -- www.asipto.com
>> www.twitter.com/miconda -- www.linkedin.com/in/miconda
>
--
Daniel-Constantin Mierla -- www.asipto.com
www.twitter.com/miconda -- www.linkedin.com/in/miconda
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