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
jbardgett(a)godaddy.com
Cell - 480-221-7337
Office - 602-420-4403
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-----Original Message-----
From: Neha Ojha <nojha(a)redhat.com>
Sent: Wednesday, January 29, 2020 12:29 PM
To: Joe Bardgett <jbardgett(a)godaddy.com>
Cc: ceph-users(a)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 <jbardgett(a)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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