January 2023 - ceph-users

by Ramanathan S

Hi all, I just had created a ceph cluster to use cephfs. When i create the a ceph fs pool i get the filesystem below error. # ceph osd pool create cephfs_data 128 pool 'cephfs_data' created # ceph osd pool create cephfs_metadata 128 pool 'cephfs_metadata' created # ceph fs new cephfs cephfs_metadata cephfs_data new fs with metadata pool 6 and data pool 5 # ceph -s cluster: id: 1c27def45-f0f9-494d-sfke-eb4323432fd health: HEALTH_ERR 1 filesystem is offline 1 filesystem is online with fewer MDS than max_mds services: mon: 2 daemons, quorum ceph-mon01,ceph-mon02 mgr: ceph-adm01(active) mds: cephfs-0/0/1 up osd: 12 osds: 12 up, 12 in data: pools: 2 pools, 256 pgs objects: 0 objects, 0 B usage: 12 GiB used, 588 GiB / 600 GiB avail pgs: 256 active+clean but when i check the max_mds for the ceph fs it says 1 # ceph fs get cephfs | grep max_mds max_mds 1 Let anyone know what am i missing here? Any inputs is much appreciated. Regards, Ram Ceph-explorer..

3 weeks, 2 days

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Re: NoSuchKey on key that is visible in s3 list/radosgw bk

by Eric Ivancich

I have some questions for those who’ve experienced this issue. 1. It seems like those reporting this issue are seeing it strictly after upgrading to Octopus. From what version did each of these sites upgrade to Octopus? From Nautilus? Mimic? Luminous? 2. Does anyone have any lifecycle rules on a bucket experiencing this issue? If so, please describe. 3. Is anyone making copies of the affected objects (to same or to a different bucket) prior to seeing the issue? And if they are making copies, does the destination bucket have lifecycle rules? And if they are making copies, are those copies ever being removed? 4. Is anyone experiencing this issue willing to run their RGWs with 'debug_ms=1'? That would allow us to see a request from an RGW to either remove a tail object or decrement its reference counter (and when its counter reaches 0 it will be deleted). Thanks, Eric > On Nov 12, 2020, at 4:54 PM, huxiaoyu(a)horebdata.cn wrote: > > Looks like this is a very dangerous bug for data safety. Hope the bug would be quickly identified and fixed. > > best regards, > > Samuel > > > > huxiaoyu(a)horebdata.cn <mailto:huxiaoyu@horebdata.cn> > > From: Janek Bevendorff > Date: 2020-11-12 18:17 > To: huxiaoyu(a)horebdata.cn <mailto:huxiaoyu@horebdata.cn>; EDH - Manuel Rios; Rafael Lopez > CC: Robin H. Johnson; ceph-users > Subject: Re: [ceph-users] Re: NoSuchKey on key that is visible in s3 list/radosgw bk > I have never seen this on Luminous. I recently upgraded to Octopus and the issue started occurring only few weeks later. > > On 12/11/2020 16:37, huxiaoyu(a)horebdata.cn wrote: > which Ceph versions are affected by this RGW bug/issues? Luminous, Mimic, Octupos, or the latest? > > any idea? > > samuel > > > > huxiaoyu(a)horebdata.cn > > From: EDH - Manuel Rios > Date: 2020-11-12 14:27 > To: Janek Bevendorff; Rafael Lopez > CC: Robin H. Johnson; ceph-users > Subject: [ceph-users] Re: NoSuchKey on key that is visible in s3 list/radosgw bk > This same error caused us to wipe a full cluster of 300TB... will be related to some rados index/database bug not to s3. > > As Janek exposed is a mayor issue, because the error silent happend and you can only detect it with S3, when you're going to delete/purge a S3 bucket. Dropping NoSuchKey. Error is not related to S3 logic .. > > Hope this time dev's can take enought time to find and resolve the issue. Error happens with low ec profiles, even with replica x3 in some cases. > > Regards > > > > -----Mensaje original----- > De: Janek Bevendorff <janek.bevendorff(a)uni-weimar.de <mailto:janek.bevendorff@uni-weimar.de>> > Enviado el: jueves, 12 de noviembre de 2020 14:06 > Para: Rafael Lopez <rafael.lopez(a)monash.edu <mailto:rafael.lopez@monash.edu>> > CC: Robin H. Johnson <robbat2(a)gentoo.org <mailto:robbat2@gentoo.org>>; ceph-users <ceph-users(a)ceph.io <mailto:ceph-users@ceph.io>> > Asunto: [ceph-users] Re: NoSuchKey on key that is visible in s3 list/radosgw bk > > Here is a bug report concerning (probably) this exact issue: > https://tracker.ceph.com/issues/47866 <https://tracker.ceph.com/issues/47866> > > I left a comment describing the situation and my (limited) experiences with it. > > > On 11/11/2020 10:04, Janek Bevendorff wrote: >> >> Yeah, that seems to be it. There are 239 objects prefixed >> .8naRUHSG2zfgjqmwLnTPvvY1m6DZsgh in my dump. However, there are none >> of the multiparts from the other file to be found and the head object >> is 0 bytes. >> >> I checked another multipart object with an end pointer of 11. >> Surprisingly, it had way more than 11 parts (39 to be precise) named >> .1, .1_1 .1_2, .1_3, etc. Not sure how Ceph identifies those, but I >> could find them in the dump at least. >> >> I have no idea why the objects disappeared. I ran a Spark job over all >> buckets, read 1 byte of every object and recorded errors. Of the 78 >> buckets, two are missing objects. One bucket is missing one object, >> the other 15. So, luckily, the incidence is still quite low, but the >> problem seems to be expanding slowly. >> >> >> On 10/11/2020 23:46, Rafael Lopez wrote: >>> Hi Janek, >>> >>> What you said sounds right - an S3 single part obj won't have an S3 >>> multipart string as part of the prefix. S3 multipart string looks >>> like "2~m5Y42lPMIeis5qgJAZJfuNnzOKd7lme". >>> >>> From memory, single part S3 objects that don't fit in a single rados >>> object are assigned a random prefix that has nothing to do with >>> the object name, and the rados tail/data objects (not the head >>> object) have that prefix. >>> As per your working example, the prefix for that would be >>> '.8naRUHSG2zfgjqmwLnTPvvY1m6DZsgh'. So there would be (239) "shadow" >>> objects with names containing that prefix, and if you add up the >>> sizes it should be the size of your S3 object. >>> >>> You should look at working and non working examples of both single >>> and multipart S3 objects, as they are probably all a bit different >>> when you look in rados. >>> >>> I agree it is a serious issue, because once objects are no longer in >>> rados, they cannot be recovered. If it was a case that there was a >>> link broken or rados objects renamed, then we could work to >>> recover...but as far as I can tell, it looks like stuff is just >>> vanishing from rados. The only explanation I can think of is some >>> (rgw or rados) background process is incorrectly doing something with >>> these objects (eg. renaming/deleting). I had thought perhaps it was a >>> bug with the rgw garbage collector..but that is pure speculation. >>> >>> Once you can articulate the problem, I'd recommend logging a bug >>> tracker upstream. >>> >>> >>> On Wed, 11 Nov 2020 at 06:33, Janek Bevendorff >>> <janek.bevendorff(a)uni-weimar.de <mailto:janek.bevendorff@uni-weimar.de> >>> <mailto:janek.bevendorff@uni-weimar.de <mailto:janek.bevendorff@uni-weimar.de>>> wrote: >>> >>> Here's something else I noticed: when I stat objects that work >>> via radosgw-admin, the stat info contains a "begin_iter" JSON >>> object with RADOS key info like this >>> >>> >>> "key": { >>> "name": >>> "29/items/WIDE-20110924034843-crawl420/WIDE-20110924065228-02544.warc.gz", >>> "instance": "", >>> "ns": "" >>> } >>> >>> >>> and then "end_iter" with key info like this: >>> >>> >>> "key": { >>> "name": >>> ".8naRUHSG2zfgjqmwLnTPvvY1m6DZsgh_239", >>> "instance": "", >>> "ns": "shadow" >>> } >>> >>> However, when I check the broken 0-byte object, the "begin_iter" >>> and "end_iter" keys look like this: >>> >>> >>> "key": { >>> "name": >>> "29/items/WIDE-20110903143858-crawl428/WIDE-20110903143858-01166.warc.gz.2~m5Y42lPMIeis5qgJAZJfuNnzOKd7lme.1", >>> "instance": "", >>> "ns": "multipart" >>> } >>> >>> [...] >>> >>> >>> "key": { >>> "name": >>> "29/items/WIDE-20110903143858-crawl428/WIDE-20110903143858-01166.warc.gz.2~m5Y42lPMIeis5qgJAZJfuNnzOKd7lme.19", >>> "instance": "", >>> "ns": "multipart" >>> } >>> >>> So, it's the full name plus a suffix and the namespace is >>> multipart, not shadow (or empty). This in itself may just be an >>> artefact of whether the object was uploaded in one go or as a >>> multipart object, but the second difference is that I cannot find >>> any of the multipart objects in my pool's object name dump. I >>> can, however, find the shadow RADOS object of the intact S3 object. >>> >>> >>> >>> >>> -- >>> *Rafael Lopez* >>> Devops Systems Engineer >>> Monash University eResearch Centre >>> >>> T: +61 3 9905 9118 <tel:%2B61%203%209905%209118> >>> E: rafael.lopez(a)monash.edu <mailto:rafael.lopez@monash.edu> >>> > _______________________________________________ > ceph-users mailing list -- ceph-users(a)ceph.io > To unsubscribe send an email to ceph-users-leave(a)ceph.io > _______________________________________________ > ceph-users mailing list -- ceph-users(a)ceph.io > To unsubscribe send an email to ceph-users-leave(a)ceph.io > _______________________________________________ > ceph-users mailing list -- ceph-users(a)ceph.io > To unsubscribe send an email to ceph-users-leave(a)ceph.io

3 weeks, 2 days

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Why you might want packages not containers for Ceph deployments

by Matthew Vernon

Hi, In the discussion after the Ceph Month talks yesterday, there was a bit of chat about cephadm / containers / packages. IIRC, Sage observed that a common reason in the recent user survey for not using cephadm was that it only worked on containerised deployments. I think he then went on to say that he hadn't heard any compelling reasons why not to use containers, and suggested that resistance was essentially a user education question[0]. I'd like to suggest, briefly, that: * containerised deployments are more complex to manage, and this is not simply a matter of familiarity * reducing the complexity of systems makes admins' lives easier * the trade-off of the pros and cons of containers vs packages is not obvious, and will depend on deployment needs * Ceph users will benefit from both approaches being supported into the future We make extensive use of containers at Sanger, particularly for scientific workflows, and also for bundling some web apps (e.g. Grafana). We've also looked at a number of container runtimes (Docker, singularity, charliecloud). They do have advantages - it's easy to distribute a complex userland in a way that will run on (almost) any target distribution; rapid "cloud" deployment; some separation (via namespaces) of network/users/processes. For what I think of as a 'boring' Ceph deploy (i.e. install on a set of dedicated hardware and then run for a long time), I'm not sure any of these benefits are particularly relevant and/or compelling - Ceph upstream produce Ubuntu .debs and Canonical (via their Ubuntu Cloud Archive) provide .debs of a couple of different Ceph releases per Ubuntu LTS - meaning we can easily separate out OS upgrade from Ceph upgrade. And upgrading the Ceph packages _doesn't_ restart the daemons[1], meaning that we maintain control over restart order during an upgrade. And while we might briefly install packages from a PPA or similar to test a bugfix, we roll those (test-)cluster-wide, rather than trying to run a mixed set of versions on a single cluster - and I understand this single-version approach is best practice. Deployment via containers does bring complexity; some examples we've found at Sanger (not all Ceph-related, which we run from packages): * you now have 2 process supervision points - dockerd and systemd * docker updates (via distribution unattended-upgrades) have an unfortunate habit of rudely restarting everything * docker squats on a chunk of RFC 1918 space (and telling it not to can be a bore), which coincides with our internal network... * there is more friction if you need to look inside containers (particularly if you have a lot running on a host and are trying to find out what's going on) * you typically need to be root to build docker containers (unlike packages) * we already have package deployment infrastructure (which we'll need regardless of deployment choice) We also currently use systemd overrides to tweak some of the Ceph units (e.g. to do some network sanity checks before bringing up an OSD), and have some tools to pair OSD / journal / LVM / disk device up; I think these would be more fiddly in a containerised deployment. I'd accept that fixing these might just be a SMOP[2] on our part. Now none of this is show-stopping, and I am most definitely not saying "don't ship containers". But I think there is added complexity to your deployment from going the containers route, and that is not simply a "learn how to use containers" learning curve. I do think it is reasonable for an admin to want to reduce the complexity of what they're dealing with - after all, much of my job is trying to automate or simplify the management of complex systems! I can see from a software maintainer's point of view that just building one container and shipping it everywhere is easier than building packages for a number of different distributions (one of my other hats is a Debian developer, and I have a bunch of machinery for doing this sort of thing). But it would be a bit unfortunate if the general thrust of "let's make Ceph easier to set up and manage" was somewhat derailed with "you must use containers, even if they make your life harder". I'm not going to criticise anyone who decides to use a container-based deployment (and I'm sure there are plenty of setups where it's an obvious win), but if I were advising someone who wanted to set up and use a 'boring' Ceph cluster for the medium term, I'd still advise on using packages. I don't think this makes me a luddite :) Regards, and apologies for the wall of text, Matthew [0] I think that's a fair summary! [1] This hasn't always been true... [2] Simple (sic.) Matter of Programming -- The Wellcome Sanger Institute is operated by Genome Research Limited, a charity registered in England with number 1021457 and a company registered in England with number 2742969, whose registered office is 215 Euston Road, London, NW1 2BE.

1 month

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Re: increasing number of (deep) scrubs

by Frank Schilder

Hi Dan, thanks for your answer. I don't have a problem with increasing osd_max_scrubs (=1 at the moment) as such. I would simply prefer a somewhat finer grained way of controlling scrubbing than just doubling or tripling it right away. Some more info. These 2 pools are data pools for a large FS. Unfortunately, we have a large percentage of small files, which is a pain for recovery and seemingly also for deep scrubbing. Our OSDs are about 25% used and I had to increase the warning interval already to 2 weeks. With all the warning grace parameters this means that we manage to deep scrub everything about every month. I need to plan for 75% utilisation and a 3 months period is a bit far on the risky side. Our data is to a large percentage cold data. Client reads will not do the check for us, we need to combat bit-rot pro-actively. The reasons I'm interested in parameters initiating more scrubs while also converting more scrubs into deep scrubs are, that 1) scrubs seem to complete very fast. I almost never catch a PG in state "scrubbing", I usually only see "deep scrubbing". 2) I suspect the low deep-scrub count is due to a low number of deep-scrubs scheduled and not due to conflicting per-OSD deep scrub reservations. With the OSD count we have and the distribution over 12 servers I would expect at least a peak of 50% OSDs being active in scrubbing instead of the 25% peak I'm seeing now. It ought to be possible to schedule more PGs for deep scrub than actually are. 3) Every OSD having only 1 deep scrub active seems to have no measurable impact on user IO. If I could just get more PGs scheduled with 1 deep scrub per OSD it would already help a lot. Once this is working, I can eventually increase osd_max_scrubs when the OSDs fill up. For now I would just like that (deep) scrub scheduling looks a bit harder and schedules more eligible PGs per time unit. If we can get deep scrubbing up to an average of 42PGs completing per hour with keeping osd_max_scrubs=1 to maintain current IO impact, we should be able to complete a deep scrub with 75% full OSDs in about 30 days. This is the current tail-time with 25% utilisation. I believe currently a deep scrub of a PG in these pools takes 2-3 hours. Its just a gut feeling from some repair and deep-scrub commands, I would need to check logs for more precise info. Increasing osd_max_scrubs would then be a further and not the only option to push for more deep scrubbing. My expectation would be that values of 2-3 are fine due to the increasingly higher percentage of cold data for which no interference with client IO will happen. Hope that makes sense and there is a way beyond bumping osd_max_scrubs to increase the number of scheduled and executed deep scrubs. Best regards, ================= Frank Schilder AIT Risø Campus Bygning 109, rum S14 ________________________________________ From: Dan van der Ster <dvanders(a)gmail.com> Sent: 05 January 2023 15:36 To: Frank Schilder Cc: ceph-users(a)ceph.io Subject: Re: [ceph-users] increasing number of (deep) scrubs Hi Frank, What is your current osd_max_scrubs, and why don't you want to increase it? With 8+2, 8+3 pools each scrub is occupying the scrub slot on 10 or 11 OSDs, so at a minimum it could take 3-4x the amount of time to scrub the data than if those were replicated pools. If you want the scrub to complete in time, you need to increase the amount of scrub slots accordingly. On the other hand, IMHO the 1-week deadline for deep scrubs is often much too ambitious for large clusters -- increasing the scrub intervals is one solution, or I find it simpler to increase mon_warn_pg_not_scrubbed_ratio and mon_warn_pg_not_deep_scrubbed_ratio until you find a ratio that works for your cluster. Of course, all of this can impact detection of bit-rot, which anyway can be covered by client reads if most data is accessed periodically. But if the cluster is mostly idle or objects are generally not read, then it would be preferable to increase slots osd_max_scrubs. Cheers, Dan On Tue, Jan 3, 2023 at 2:30 AM Frank Schilder <frans(a)dtu.dk> wrote: > > Hi all, > > we are using 16T and 18T spinning drives as OSDs and I'm observing that they are not scrubbed as often as I would like. It looks like too few scrubs are scheduled for these large OSDs. My estimate is as follows: we have 852 spinning OSDs backing a 8+2 pool with 2024 and an 8+3 pool with 8192 PGs. On average I see something like 10PGs of pool 1 and 12 PGs of pool 2 (deep) scrubbing. This amounts to only 232 out of 852 OSDs scrubbing and seems to be due to a conservative rate of (deep) scrubs being scheduled. The PGs (dep) scrub fairly quickly. > > I would like to increase gently the number of scrubs scheduled for these drives and *not* the number of scrubs per OSD. I'm looking at parameters like: > > osd_scrub_backoff_ratio > osd_deep_scrub_randomize_ratio > > I'm wondering if lowering osd_scrub_backoff_ratio to 0.5 and, maybe, increasing osd_deep_scrub_randomize_ratio to 0.2 would have the desired effect? Are there other parameters to look at that allow gradual changes in the number of scrubs going on? > > Thanks a lot for your help! > ================= > Frank Schilder > AIT Risø Campus > Bygning 109, rum S14 > _______________________________________________ > ceph-users mailing list -- ceph-users(a)ceph.io > To unsubscribe send an email to ceph-users-leave(a)ceph.io

4 months, 2 weeks

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Re: Status of Quincy 17.2.5 ?

by Christian Rohmann

Hey everyone, On 20/10/2022 10:12, Christian Rohmann wrote: > 1) May I bring up again my remarks about the timing: > > On 19/10/2022 11:46, Christian Rohmann wrote: > >> I believe the upload of a new release to the repo prior to the >> announcement happens quite regularly - it might just be due to the >> technical process of releasing. >> But I agree it would be nice to have a more "bit flip" approach to >> new releases in the repo and not have the packages appear as updates >> prior to the announcement and final release and update notes. > By my observations sometimes there are packages available on the > download servers via the "last stable" folders such as > https://download.ceph.com/debian-quincy/ quite some time before the > announcement of a release is out. > I know it's hard to time this right with mirrors requiring some time > to sync files, but would be nice to not see the packages or have > people install them before there are the release notes and potential > pointers to changes out. Todays 16.2.11 release shows the exact issue I described above .... 1) 16.2.11 packages are already available via e.g. https://download.ceph.com/debian-pacific 2) release notes not yet merged: (https://github.com/ceph/ceph/pull/49839), thus https://ceph.io/en/news/blog/2022/v16-2-11-pacific-released/ show a 404 :-) 3) No announcement like https://lists.ceph.io/hyperkitty/list/ceph-users@ceph.io/message/QOCU563UD3… to the ML yet. Regards Christian

5 months, 4 weeks

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rgw multisite sync not syncing data, error: RGW-SYNC:data:init_data_sync_status: ERROR: failed to read remote data log shards

by Christian Rohmann

Hey ceph-users, I setup a multisite sync between two freshly setup Octopus clusters. In the first cluster I created a bucket with some data just to test the replication of actual data later. I then followed the instructions on https://docs.ceph.com/en/octopus/radosgw/multisite/#migrating-a-single-site… to add a second zone. Things went well and both zones are now happily reaching each other and the API endpoints are talking. Also the metadata is in sync already - both sides are happy and I can see bucket listings and users are "in sync": > # radosgw-admin sync status > realm 13d1b8cb-dc76-4aed-8578-2ce5d3d010e8 (obst) > zonegroup 17a06c15-2665-484e-8c61-cbbb806e11d2 (obst-fra) > zone 6d2c1275-527e-432f-a57a-9614930deb61 (obst-rgn) > metadata sync no sync (zone is master) > data sync source: c07447eb-f93a-4d8f-bf7a-e52fade399f3 (obst-az1) > init > full sync: 128/128 shards > full sync: 0 buckets to sync > incremental sync: 0/128 shards > data is behind on 128 shards > behind shards: [0...127] > and on the other side ... > # radosgw-admin sync status > realm 13d1b8cb-dc76-4aed-8578-2ce5d3d010e8 (obst) > zonegroup 17a06c15-2665-484e-8c61-cbbb806e11d2 (obst-fra) > zone c07447eb-f93a-4d8f-bf7a-e52fade399f3 (obst-az1) > metadata sync syncing > full sync: 0/64 shards > incremental sync: 64/64 shards > metadata is caught up with master > data sync source: 6d2c1275-527e-432f-a57a-9614930deb61 (obst-rgn) > init > full sync: 128/128 shards > full sync: 0 buckets to sync > incremental sync: 0/128 shards > data is behind on 128 shards > behind shards: [0...127] > also the newly created buckets (read: their metadata) is synced. What is apparently not working in the sync of actual data. Upon startup the radosgw on the second site shows: > 2021-06-25T16:15:06.445+0000 7fe71eff5700 1 RGW-SYNC:meta: start > 2021-06-25T16:15:06.445+0000 7fe71eff5700 1 RGW-SYNC:meta: realm > epoch=2 period id=f4553d7c-5cc5-4759-9253-9a22b051e736 > 2021-06-25T16:15:11.525+0000 7fe71dff3700 0 > RGW-SYNC:data:sync:init_data_sync_status: ERROR: failed to read remote > data log shards > also when issuing # radosgw-admin data sync init --source-zone obst-rgn it throws > 2021-06-25T16:20:29.167+0000 7f87c2aec080 0 > RGW-SYNC:data:init_data_sync_status: ERROR: failed to read remote data > log shards Does anybody have any hints on where to look for what could be broken here? Thanks a bunch, Regards Christian

9 months, 1 week

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cephadm upgrade 16.2.10 to 16.2.11: osds crash and get stuck restarting

by Zakhar Kirpichenko

Hi, Attempted to upgrade 16.2.10 to 16.2.11, 2 OSDs out of many started crashing in a loop on the very 1st host: Jan 25 23:07:53 ceph01 bash[2553123]: Uptime(secs): 0.0 total, 0.0 interval Jan 25 23:07:53 ceph01 bash[2553123]: Flush(GB): cumulative 0.000, interval 0.000 Jan 25 23:07:53 ceph01 bash[2553123]: AddFile(GB): cumulative 0.000, interval 0.000 Jan 25 23:07:53 ceph01 bash[2553123]: AddFile(Total Files): cumulative 0, interval 0 Jan 25 23:07:53 ceph01 bash[2553123]: AddFile(L0 Files): cumulative 0, interval 0 Jan 25 23:07:53 ceph01 bash[2553123]: AddFile(Keys): cumulative 0, interval 0 Jan 25 23:07:53 ceph01 bash[2553123]: Cumulative compaction: 0.00 GB write, 0.00 MB/s write, 0.00 GB read, 0.00 MB/s read, 0.0 seconds Jan 25 23:07:53 ceph01 bash[2553123]: Interval compaction: 0.00 GB write, 0.00 MB/s write, 0.00 GB read, 0.00 MB/s read, 0.0 seconds Jan 25 23:07:53 ceph01 bash[2553123]: Stalls(count): 0 level0_slowdown, 0 level0_slowdown_with_compaction, 0 level0_numfiles, 0 level0_numfiles_with_compaction, 0 stop for pending_compaction_bytes, 0 slowdown for pending_compaction_bytes, 0 memtable_compaction, 0 memtable_slowdown, interval 0 total count Jan 25 23:07:53 ceph01 bash[2553123]: ** File Read Latency Histogram By Level [P] ** Jan 25 23:07:53 ceph01 bash[2553123]: debug -10> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: (Original Log Time 2023/01/25-23:07:52.986439) [db_impl/db_impl_compaction_flush.cc:2611] Com paction nothing to do Jan 25 23:07:53 ceph01 bash[2553123]: debug -9> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: (Original Log Time 2023/01/25-23:07:52.986493) [db_impl/db_impl_compaction_flush.cc:2611] Com paction nothing to do Jan 25 23:07:53 ceph01 bash[2553123]: debug -8> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: (Original Log Time 2023/01/25-23:07:52.986500) [db_impl/db_impl_compaction_flush.cc:2611] Com paction nothing to do Jan 25 23:07:53 ceph01 bash[2553123]: debug -7> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: (Original Log Time 2023/01/25-23:07:52.986505) [db_impl/db_impl_compaction_flush.cc:2611] Com paction nothing to do Jan 25 23:07:53 ceph01 bash[2553123]: debug -6> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: [compaction/compaction_job.cc:1676] [O-2] [JOB 9] Compacting 4@0 + 2@1 files to L1, score 1.0 0 Jan 25 23:07:53 ceph01 bash[2553123]: debug -5> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: [compaction/compaction_job.cc:1680] [O-2] Compaction start summary: Base version 33 Base level 0, inputs: [649058(959KB) 649046(1510KB) 649024(1323KB) 649002(1396KB)], [648981(66MB) 648982(52MB)] Jan 25 23:07:53 ceph01 bash[2553123]: debug -4> 2023-01-25T23:07:52.982+0000 7f7c87e67700 4 rocksdb: EVENT_LOG_v1 {"time_micros": 1674688072986547, "job": 9, "event": "compaction_started", "compaction_reason": "LevelL0FilesNum", "files_L0": [649058, 649046, 649024, 649002], "files_L1": [648981, 648982], "score": 1, "input_data_size": 129161327} Jan 25 23:07:53 ceph01 bash[2553123]: debug -3> 2023-01-25T23:07:52.990+0000 7f7c8b66e700 -1 bdev(0x5619bf0ce400 /var/lib/ceph/osd/ceph-3/block) _aio_thread got r=-1 ((1) Operation not permitted) Jan 25 23:07:53 ceph01 bash[2553123]: debug -2> 2023-01-25T23:07:52.990+0000 7f7c8b66e700 -1 /home/jenkins-build/build/workspace/ceph-build/ARCH/x86_64/AVAILABLE_ARCH/x86_64/AVAILABLE_DIST/centos8/DIST/centos8/MACHINE_SIZE/gigantic/release/16.2.11/rpm/el8/BUILD/ceph-16.2.11/src/blk/kernel/KernelDevice.cc: In function 'void KernelDevice::_aio_thread()' thread 7f7c8b66e700 time 2023-01-25T23:07:52.993976+0000 Jan 25 23:07:53 ceph01 bash[2553123]: /home/jenkins-build/build/workspace/ceph-build/ARCH/x86_64/AVAILABLE_ARCH/x86_64/AVAILABLE_DIST/centos8/DIST/centos8/MACHINE_SIZE/gigantic/release/16.2.11/rpm/el8/BUILD/ceph-16.2.11/src/blk/kernel/KernelDevice.cc: 604: ceph_abort_msg("Unexpected IO error. This may suggest HW issue. Please check your dmesg!") Jan 25 23:07:53 ceph01 bash[2553123]: ceph version 16.2.11 (3cf40e2dca667f68c6ce3ff5cd94f01e711af894) pacific (stable) Jan 25 23:07:53 ceph01 bash[2553123]: 1: (ceph::__ceph_abort(char const*, int, char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0xe5) [0x5619b2fc1adc] Jan 25 23:07:53 ceph01 bash[2553123]: 2: (KernelDevice::_aio_thread()+0x1285) [0x5619b3b2a4e5] Jan 25 23:07:53 ceph01 bash[2553123]: 3: (KernelDevice::AioCompletionThread::entry()+0x11) [0x5619b3b357b1] Jan 25 23:07:53 ceph01 bash[2553123]: 4: /lib64/libpthread.so.0(+0x81ca) [0x7f7c978851ca] Jan 25 23:07:53 ceph01 bash[2553123]: 5: clone() Jan 25 23:07:53 ceph01 bash[2553123]: debug -1> 2023-01-25T23:07:52.994+0000 7f7c8b66e700 -1 *** Caught signal (Aborted) ** Jan 25 23:07:53 ceph01 bash[2553123]: in thread 7f7c8b66e700 thread_name:bstore_aio Jan 25 23:07:53 ceph01 bash[2553123]: ceph version 16.2.11 (3cf40e2dca667f68c6ce3ff5cd94f01e711af894) pacific (stable) Jan 25 23:07:53 ceph01 bash[2553123]: 1: /lib64/libpthread.so.0(+0x12cf0) [0x7f7c9788fcf0] Jan 25 23:07:53 ceph01 bash[2553123]: 2: gsignal() Jan 25 23:07:53 ceph01 bash[2553123]: 3: abort() Jan 25 23:07:53 ceph01 bash[2553123]: 4: (ceph::__ceph_abort(char const*, int, char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x1b6) [0x5619b2fc1bad] Jan 25 23:07:53 ceph01 bash[2553123]: 5: (KernelDevice::_aio_thread()+0x1285) [0x5619b3b2a4e5] Jan 25 23:07:53 ceph01 bash[2553123]: 6: (KernelDevice::AioCompletionThread::entry()+0x11) [0x5619b3b357b1] Jan 25 23:07:53 ceph01 bash[2553123]: 7: /lib64/libpthread.so.0(+0x81ca) [0x7f7c978851ca] OSD kept crashing until the host reboot, an OSD restart wouldn't help. This hasn't happened during any previous upgrades, so was a rather unexpected development. Unclear what caused this, but a host reboot seems to have fixed it. It happened to 1 other OSD on another host, exactly the same symptoms, also solved by a reboot. Best regards, Zakhar

9 months, 2 weeks

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Small RGW objects and RADOS 64KB minimun size

by Loïc Dachary

Bonjour, Reading Karan's blog post about benchmarking the insertion of billions objects to Ceph via S3 / RGW[0] from last year, it reads: > we decided to lower bluestore_min_alloc_size_hdd to 18KB and re-test. As represented in chart-5, the object creation rate found to be notably reduced after lowering the bluestore_min_alloc_size_hdd parameter from 64KB (default) to 18KB. As such, for objects larger than the bluestore_min_alloc_size_hdd , the default values seems to be optimal, smaller objects further require more investigation if you intended to reduce bluestore_min_alloc_size_hdd parameter. There also is a mail thread dated 2018 on this topic as well, with the same conclusion although using RADOS directly and not RGW[3]. I read the RGW data layout page in the documentation[1] and concluded that by default every object inserted with S3 / RGW will indeed use at least 64kb. A pull request from last year[2] seems to confirm it and also suggests modifying bluestore_min_alloc_size_hdd has adverse side effects. That being said, I'm curious to know if people developed strategies to cope with this overhead. Someone mentioned packing objects together client side to make them larger. But maybe there are simpler ways to do the same? Cheers [0] https://www.redhat.com/en/blog/scaling-ceph-billion-objects-and-beyond [1] https://docs.ceph.com/en/latest/radosgw/layout/ [2] https://github.com/ceph/ceph/pull/32809 [3] https://www.spinics.net/lists/ceph-users/msg45755.html -- Loïc Dachary, Artisan Logiciel Libre

11 months

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Re: MDS crashes to damaged metadata

by Patrick Donnelly

On Thu, Dec 15, 2022 at 9:32 AM Stolte, Felix <f.stolte(a)fz-juelich.de> wrote: > > Hi Patrick, > > we used your script to repair the damaged objects on the weekend and it went smoothly. Thanks for your support. > > We adjusted your script to scan for damaged files on a daily basis, runtime is about 6h. Until thursday last week, we had exactly the same 17 Files. On thursday at 13:05 a snapshot was created and our active mds crashed once at this time (snapshot was created): > > 2022-12-08T13:05:48.919+0100 7f440afec700 -1 /build/ceph-16.2.10/src/mds/ScatterLock.h: In function 'void ScatterLock::set_xlock_snap_sync(MDSContext*)' thread 7f440afec700 time 2022-12-08T13:05:48.921223+0100 > /build/ceph-16.2.10/src/mds/ScatterLock.h: 59: FAILED ceph_assert(state LOCK_XLOCK || state LOCK_XLOCKDONE) > > 12 Minutes lates the unlink_local error crashes appeared again. This time with a new file. During debugging we noticed a MTU mismatch between MDS (1500) and client (9000) with cephfs kernel mount. The client is also creating the snapshots via mkdir in the .snap directory. > > We disabled snapshot creation for now, but really need this feature. I uploaded the mds logs of the first crash along with the information above to https://tracker.ceph.com/issues/38452 > > I would greatly appreciate it, if you could answer me the following question: > > Is the Bug related to our MTU Mismatch? We fixed the MTU Issue going back to 1500 on all nodes in the ceph public network on the weekend also. I doubt it. > If you need a debug level 20 log of the ScatterLock for further analysis, i could schedule snapshots at the end of our workdays and increase the debug level 5 Minutes arround snap shot creation. This would be very helpful! -- Patrick Donnelly, Ph.D. He / Him / His Principal Software Engineer Red Hat, Inc. GPG: 19F28A586F808C2402351B93C3301A3E258DD79D

11 months, 1 week

2
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0 0

MDS crash on FAILED ceph_assert(cur->is_auth())

by Peter van Heusden

I am running Ceph 15.2.13 on CentOS 7.9.2009 and recently my MDS servers have started failing with the error message In function 'void Server::handle_client_open(MDRequestRef&)' thread 7f0ca9908700 time 2021-06-28T09:21:11.484768+0200 /home/jenkins-build/build/workspace/ceph-build/ARCH/x86_64/AVAILABLE_ARCH/x86_64/AVAILABLE_DIST/centos7/DIST/centos7/MACHINE_SIZE/gigantic/release/15.2.13/rpm/el7/BUILD/ceph-15.2.13/src/mds/Server.cc: 4149: FAILED ceph_assert(cur->is_auth()) Complete log is: https://gist.github.com/pvanheus/4da555a6de6b5fa5e46cbf74f5500fbd ceph status output is: # ceph status cluster: id: ed7b2c16-b053-45e2-a1fe-bf3474f90508 health: HEALTH_WARN 30 OSD(s) experiencing BlueFS spillover insufficient standby MDS daemons available 1 MDSs report slow requests 2 mgr modules have failed dependencies 4347046/326505282 objects misplaced (1.331%) 6 nearfull osd(s) 23 pgs not deep-scrubbed in time 23 pgs not scrubbed in time 8 pool(s) nearfull services: mon: 3 daemons, quorum ceph-mon1,ceph-mon2,ceph-mon3 (age 22m) mgr: ceph-mon1(active, since 11w), standbys: ceph-mon2, ceph-mon3 mds: SANBI_FS:2 {0=ceph-mon1=up:active(laggy or crashed),1=ceph-mon2=up:stopping} osd: 54 osds: 54 up (since 2w), 54 in (since 11w); 50 remapped pgs data: pools: 8 pools, 833 pgs objects: 42.37M objects, 89 TiB usage: 159 TiB used, 105 TiB / 264 TiB avail pgs: 4347046/326505282 objects misplaced (1.331%) 782 active+clean 49 active+clean+remapped 1 active+clean+scrubbing+deep 1 active+clean+remapped+scrubbing io: client: 29 KiB/s rd, 427 KiB/s wr, 37 op/s rd, 48 op/s wr When restarting a MDS it goes through states replace, reconnect, resolve and finally sets itself to active before this crash happens. Any advice on what to do? Thanks, Peter P.S. apologies if you received this email more than once - I have had some trouble figuring out the correct mailing list to use.

11 months, 4 weeks

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ceph-users January 2023