For the sake of record here is a link to the corresponding ticket:
https://tracker.ceph.com/issues/44924
On 4/2/2020 6:28 PM, Igor Fedotov wrote:
So this OSD has 32M of shared blobs and fsck loads them all into
memory while processing. Hence the RAM consumption.
I'm afraid there is no simple way to fix that, will create a ticket
though.
And a side question:
1) Do you use erasure coding and/or compression for rbd pool?
These stats look suspicious
POOL ID STORED (DATA) (OMAP) OBJECTS
USED (DATA) (OMAP) %USED MAX AVAIL QUOTA OBJECTS QUOTA
BYTES DIRTY USED COMPR UNDER COMPR
rbd 1 245 TiB 245 TiB 9.0 MiB 50.26M 151
TiB 151 TiB 9.0 MiB 90.03 12 TiB N/A N/A 50.26M 35
TiB 144 TiB
Stored - 245 TiB, Used - 151 TiB
Can't imagine any explanation other than applied compression.
Thanks,
Igor
On 4/2/2020 5:59 PM, Jack wrote:
Here it is
On 4/2/20 3:48 PM, Igor Fedotov wrote:
And may I have the output for:
ceph daemon osd.N calc_objectstore_db_histogram
This will collect some stats on record types in OSD's DB.
On 4/2/2020 4:13 PM, Jack wrote:
(fsck / quick-fix, same story)
On 4/2/20 3:12 PM, Jack wrote:
Hi,
A simple fsck eats the same amount of memory
Cluster usage: rbd with a bit of rgw
Here is the ceph df detail
All OSDs are single rusty devices
On 4/2/20 2:19 PM, Igor Fedotov wrote:
Hi Jack,
could you please try the following - stop one of already
converted OSDs
and do a quick-fix/fsck/repair against it using ceph_bluestore_tool:
ceph-bluestore-tool --path <path to osd> --command
quick-fix|fsck|repair
Does it cause similar memory usage?
You can stop experimenting if quick-fix reproduces the issue.
Also could you please describe your cluster and its usage a bit:
what's
the usage: rgw/rbd/cephfs? If possible - please share 'ceph df
detail'
output, do you have standalone DB volume at SSD/NVMe?
Thanks,
Igor
On 4/1/2020 6:28 PM, Jack wrote:
Hi,
As the upgrade documentation tells:
Note that the first time each OSD starts, it will do a format
conversion to improve the accounting for “omap” data. This may
take a few minutes to as much as a few hours (for an HDD with lots
of omap data). You can disable this automatic conversion with:
What the documentation does not say is that this process takes a
lot of
memory
I am upgrading a rusty cluster from Nautilus, you can check out the
ram
consumption as attachment
First, we have a 3TB osd conversion: it tooks ~15min, and 19GB of
memory
Then, we have a larger 6TB osd conversion: it tooks more than 2
hours,
and 35GB of memory
Finally, you have the largest 10TB osd: only 1H15, but 52GB of
memory
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