You may be interested in using my wallclock profiler to look at lock
contention:
https://github.com/markhpc/gdbpmp
It will greatly slow down the OSD but will show you where time is being
spent and so far the results appear to at least be relatively
informative. I used it recently when refactoring the bluestore caches
to trim on add (from multiple threads) and break the bluestore cache
into separate onode/buffer caches with their own locks:
https://github.com/ceph/ceph/pull/28597
One of the things you'll notice is that we have a single kv sync
thread. Historically that has been one of the limiting factors in terms
of write throughput, though these days I tend to see a mix of various
factors (potentially the shardedopwq, optracker, kv sync, etc).
Certainly lock contention plays a part here.
Mark
On 8/6/19 11:41 AM, Mark Lehrer wrote:
I have a few more cycles this week to dedicate to the problem of
making OSDs do more than maybe 5 simultaneous operations (as measured
by the iostat effective queue depth of the drive).
However, I'm starting to think that the problem isn't with the number
of threads that have work to do... the problem may just be that the
OSD & PG code has enough thread locking happening that there is no
possible way to have more than a few things happening on a single OSD
(or perhaps a single placement group).
Has anyone thought about the problem from this angle? This would help
explain why multiple-OSDs-per-SSD is so effective (even though the
thought of doing this in production is utterly terrifying).
For my next set of tests, I'll try some multi-pool testing and see if
isolating the placement groups helps with the thread limitations I'm
seeing. Last time, I was testing multiple RBDs in the same pool.
Thanks,
Mark
On Sat, May 11, 2019 at 5:50 AM Maged Mokhtar <mmokh...@petasan.org> wrote:
On 10/05/2019 19:54, Mark Lehrer wrote:
I'm setting up a new Ceph cluster with fast SSD drives, and there is
one problem I want to make sure to address straight away:
comically-low OSD queue depths.
On the past several clusters I built, there was one major performance
problem that I never had time to really solve, which is this:
regardless of how much work the RBDs were being asked to do, the OSD
effective queue depth (as measured by iostat's "avgrq-sz" column)
never went above 3... even if I had multiple RBDs with queue depths in
the thousands.
This made sense back in the old days of spinning drives. However, for
example with these particular drives and a 4K or 16K block size you
don't see maximum read performance until the queue depth gets to 50+.
At a queue depth of 4 the bandwidth is less than 20% what it is at
256. The bottom line here is that Ceph performance is simply
embarrassing whenever the OSD effective queue depth is in single
digits.
On my last cluster, I spent a week or two researching and trying OSD
config parameters trying to increase the queue depth. So far, the
only effective method I have seen to increase the effective OSD queue
depth is a gross hack - using multiple partitions per SSD to create
multiple OSDs.
My questions:
1) Is there anyone on this list who has solved this problem already?
On the performance articles I have seen, the authors don't show iostat
results (or any OSD effective queue depth numbers) so I can't really
tell.
2) If there isn't a good response to #1, is anyone else out there able
to do some experimentation to help figure this out? All you would
need to do to get started is collect the output of this command while
a high-QD rbd test is happening: "iostat -mtxy 1" -- you should
collect it on all of the OSD servers as well as the client (you will
want to attach an RBD and talk to it via /dev/rbd0 otherwise iostat
probably won't see it).
3) If there is any technical reason why this is impossible, please let
me know before I get to far down this road... but because the multiple
partitions trick works so well I expect it must be possible somehow.
Thanks,
Mark
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i assume you mean avgqu-sz (queue size) rather than avgrq-sz (request
size). if so, what avgrq-sz do you get ? what kernel and io scheduler
being used ?
It is not uncommon if the system is not well tuned for your workload,
you may have a bottleneck in cpu running near 100% and your disks would
be single digit % busy, the faster your disks are and the more disks you
have, the less they will be busy if there is some cpu or network
bottleneck. If so the queue depth on them will be very low.
It is also possible the cluster has good performance but the bottleneck
is from the client(s) doing the test and is/are not fast enough to fully
stress your cluster, hence your disks.
To know more, we need more numbers:
-How many SSDs/OSDs do you have, what is their raw device random 4k
write sync iops ?
-How many hosts and cpu cores do you have ?
-How many nics and their speed ?
-What total iops do you get ? What params did you use for the 4k test ?
is it random or sequential ?
-Do you use enough threads/queue depth to stress all your OSDs in
parallel ?
-Run atop during the test, what cpu and disk % busy do you see on all
hosts including clients ?
-How many clients do you use ? For a fast cluster you may need many
clients to stress it, keep increasing clients until your numbers saturate.
/Maged
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