Hi Josh,
That's another interesting dimension...
Indeed a cluster that has plenty of free capacity could indeed be balanced by workload/iops, but once it reaches maybe 60 or 70% full, then I think capacity would need to take priority.
But to be honest I don't really understand the workload/iops balancing use-case. Can you describe some of the scenarios you have in mind?
.. Dan
On Wed, 20 Oct 2021, 20:45 Josh Salomon, <jsalomon@xxxxxxxxxx> wrote:
Just another point of view:The current balancer balances the capacity but this is not enough. The balancer should also balance the workload and we plan on adding primary balancing for Quincy. In order to balance the workload you should work pool by pool because pools have different workloads. So while the observation about the +1 PGs is correct, I believe the correct solution should be talking this into consideration while still balancing capacity pool by pool.Capacity balancing is a functional requirement, while workload balancing is a performance requirement so it is important only for very loaded systems (loaded in terms of high IOPS not nearly full systems)I would appreciate comments on this thought.On Wed, 20 Oct 2021, 20:57 Dan van der Ster, <dan@xxxxxxxxxxxxxx> wrote:Hi Jonas,From your readme:"the best possible solution is some OSDs having an offset of 1 PG to the ideal count. As a PG-distribution-optimization is done per pool, without checking other pool's distribution at all, some devices will be the +1 more often than others. At worst one OSD is the +1 for each pool in the cluster."That's an interesting observation/flaw which hadn't occurred to me before. I think we don't ever see it in practice in our clusters because we do not have multiple large pools on the same osds.How large are the variances in your real clusters? I hope the example in your readme isn't from real life??Cheers, Dan_______________________________________________On Wed, 20 Oct 2021, 15:11 Jonas Jelten, <jelten@xxxxxxxxx> wrote:Hi!
I've been working on this for quite some time now and I think it's ready for some broader testing and feedback.
https://github.com/TheJJ/ceph-balancer
It's an alternative standalone balancer implementation, optimizing for equal OSD storage utilization and PG placement across all pools.
It doesn't change your cluster in any way, it just prints the commands you can run to apply the PG movements.
Please play around with it :)
Quickstart example: generate 10 PG movements on hdd to stdout
./placementoptimizer.py -v balance --max-pg-moves 10 --only-crushclass hdd | tee /tmp/balance-upmaps
When there's remapped pgs (e.g. by applying the above upmaps), you can inspect progress with:
./placementoptimizer.py showremapped
./placementoptimizer.py showremapped --by-osd
And you can get a nice Pool and OSD usage overview:
./placementoptimizer.py show --osds --per-pool-count --sort-utilization
Of course there's many more features and optimizations to be added,
but it served us very well in reclaiming terrabytes of until then unavailable storage already where the `mgr balancer` could no longer optimize.
What do you think?
Cheers
-- Jonas
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