Hi Paul,
I don't really have a good answer to your question, but maybe this
approach can help track down the clients.
Each MDS client has an average "uptime" metric stored in the MDS:
storage01:~ # ceph tell mds.cephfs.storage04.uxkclk session ls
...
"id": 409348719,
...
"uptime": 844831.115640342,
...
"entity_id": "nova-mount",
"hostname": "FQDN",
"kernel_version": "5.4.0-125-generic",
"root": "/openstack-cluster/nova-instances"
...
This client has the shortest uptime (9 days), it was a compute node
which was integrated into openstack 9 days ago. I don't know your
CephFS directory structure, could this help identify the client in
your case?
Regards,
Eugen
Zitat von Paul Browne <pfb29@xxxxxxxxx>:
Hello Ceph users,
We've recently seen a very massive uptick in the stored capacity of
our CephFS metadata pool, 150X the raw stored capacity used in a
very short timeframe of only 48 hours or so. The number of stored
objects rose by ~1.5 million or so in that timeframe (attached PNG
shows the increase)
What I'd really like to be able to determine, but haven't yet
figured out how, is to map these newly stored objects (over this
limited time window) to inodes/dnodes in the filesystem and from
there to individual namespaces being used in the filesystem.
This should then allow me to track back the increased usage to
specific projects using the filesystem for research data storage and
give them a mild warning about possibly exhausting the available
metadata pool capacity.
Would anyone know if there's any capability in CephFs to do
something like this, specifically in Nautilus (being run here as Red
Hat Ceph Storage 4)?
We've scheduled upgrades to later RHCS releases, but I'd like the
cluster and CephFS state to be in a better place first if possible.
Thanks,
Paul Browne
[cid:e87ad248-6621-4e9d-948b-da4428f8dbb8]
*******************
Paul Browne
Research Computing Platforms
University Information Services
Roger Needham Building
JJ Thompson Avenue
University of Cambridge
Cambridge
United Kingdom
E-Mail: pfb29@xxxxxxxxx<mailto:pfb29@xxxxxxxxx>
Tel: 0044-1223-746548
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