On 30/04/2025 00:08, Laimis Juzeliūnas wrote:
Hi Torkil,
Hi
We noticed that any backfilling pgs are super slow on erasure coded pools that
run on HDDs.
Is there any visible progress on the movement itself without pgremapper
reductions?
Not entirely sure if this is what you mean but there is slight progress
yes, it's not stalled.
It's just odd being throttled to 6 ongoing backfills with almost 9000
misplaced PGs in a EC 4+2 pool with 400+ OSDs when the misplaced PGs
were born from a pg_num doubling that should include all OSDs.
Just ran the pgremapper reduction again and now getting this, which is
more in line with what I would expect:
81 active+remapped+backfilling
recovery: 3.0 GiB/s, 1.02k objects/s
You can try using https://github.com/TheJJ/ceph-balancer with ’showremapped’ to
get a full status of what’s going on with the backfills.
Not sure what I am missing but that doesn't seem to be a thing, even
though it is also mentioned in the README:
[root@lazy ceph-balancer]# ./placementoptimizer.py showremapped
usage: placementoptimizer.py [-h] [-v] [-q] [--profile]
[--unsafe-gather]
{gather,show,remap,balance,poolosddiff,repairstats,test,osdmap} ...
placementoptimizer.py: error: argument mode: invalid choice:
'showremapped' (choose from 'gather', 'show', 'remap', 'balance',
'poolosddiff', 'repairstats', 'test', 'osdmap')
Mvh.
Torkil
Best,
Laimis J.
On 30 Apr 2025, at 00:54, Torkil Svensgaard <tor...@drcmr.dk> wrote:
pool 11 'rbd_ec_data' erasure profile DRCMR_k4m2 size 6 min_size 5 crush_rule 0
object_hash rjenkins pg_num 16384 pgp_num 16384 autoscale_mode off last_change
2832704 lfor 0/1291190/2832700 flags
hashpspool,ec_overwrites,selfmanaged_snaps,bulk stripe_width 16384 fast_read 1
compression_algorithm snappy compression_mode aggressive application rbd
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MR-Forskningssektionen, afs. 714
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