Raoul Thill wrote:
Hi,
OK, you're right. I've made new tests this time with a bit more
information:
1. Before yum and rpm db update, Memory usage is at 0.5:
[root@BANANN ~]# free
total used free shared buffers cached
Mem: 2050684 1218252 832432 0 34336 554344
-/+ buffers/cache: 629572 1421112
Swap: 2031608 0 2031608
[root@BANANN ~]# ps aux | grep funcd
root 3280 0.5 0.5 27940 10908 ? S 08:26 0:00
/usr/bin/python /usr/bin/funcd --daemon
root 3383 0.0 0.0 4044 676 pts/1 S+ 08:27 0:00 grep
funcd
2. After yum / rpm update:
[root@BANANN ~]# free
total used free shared buffers cached
Mem: 2050684 1318380 732304 0 34580 555548
-/+ buffers/cache: 728252 1322432
Swap: 2031608 0 2031608
[root@BANANN ~]# ps aux | grep funcd
root 3280 16.4 5.4 138792 112520 ? S 08:26 0:12
/usr/bin/python /usr/bin/funcd --daemon
root 3395 0.0 0.0 4044 680 pts/1 S+ 08:27 0:00 grep
funcd
Memory remains at 5.4 for process funcd, when running my update
process a 2nd time, memory goes up to 10.2 and so on.
My code to update the database:
import func.overlord.client as fc
def pingAgent(agt):
client = fc.Client("%s" % agt)
ping = client.test.ping()
return ping
def rpm(agt):
client = fc.Client("%s" % agt, async=0)
rpms = client.rpms.inventory()
return rpms
def update(agt):
client = fc.Client("%s" % agt, async=0)
updates = client.yumcmd.check_update()
return updates
--
Raoul
Michael DeHaan wrote:
Raoul Thill wrote:
Hi All,
in reference to a previous post on the mailing list, I would like to
see if you have an idea how to fix this.
I'd really like to help, but I am not sure in what module the memory
is used? Could it be a wrong yum call?
I've tried this also on the latest version and it remains the same
error.
Raoul
This data does not include any stats on the func process, so it does
not point at Func.
It would be more helpful to see relevant parts from "ps aux", etc.
Also depends on what "your application" does :)
--Michael
Ok, I'm not seeing this...
I'm seeing a momentary spike as libraries are being loaded/used, which
settles back down later. I can't pad func into consuming tons of RAM,
for instance...
--Michael
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