Has anyone attempted to use gdbpmp since 14.2.6 to grab data?  I have not been 
able to successfully do it on my clusters.  It has just been hanging at 
attaching to process.

If you have been able to, would you be available for a discussion regarding 
your configuration?

Thanks,

Joe Bardgett
Storage Operations
jbardg...@godaddy.com

Cell - 480-221-7337
Office - 602-420-4403

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-----Original Message-----
From: Neha Ojha <no...@redhat.com> 
Sent: Wednesday, January 29, 2020 12:29 PM
To: Joe Bardgett <jbardg...@godaddy.com>
Cc: ceph-users@ceph.io
Subject: Re: [ceph-users] Re: High CPU usage by ceph-mgr in 14.2.6

Notice: This email is from an external sender.



Hi Joe,

Can you grab a wallclock profiler dump from the mgr process and share it with 
us? This was useful for us to get to the root cause of the issue in 14.2.5.

Quoting Mark's suggestion from "[ceph-users] High CPU usage by ceph-mgr in 
14.2.5" below.

If you can get a wallclock profiler on the mgr process we might be able to 
figure out specifics of what's taking so much time (ie processing pg_summary or 
something else).  Assuming you have gdb with the python bindings and the ceph 
debug packages installed, if you (are anyone) could try gdbpmp on the 100% mgr 
process that would be fantastic.


https://github.com/markhpc/gdbpmp


gdbpmp.py -p`pidof ceph-mgr` -n 1000 -o mgr.gdbpmp


If you want to view the results:


gdbpmp.py -i mgr.gdbpmp -t 1

Thanks,
Neha



On Wed, Jan 29, 2020 at 7:35 AM <jbardg...@godaddy.com> wrote:
>
> Modules that are normally enabled:
>
> ceph mgr module ls | jq -r '.enabled_modules'
> [
>   "dashboard",
>   "prometheus",
>   "restful"
> ]
>
> We did test with all modules disabled, restarted the mgrs and saw no 
> difference.
>
> Joe
> _______________________________________________
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