Re: MDS fails repeatedly while handling many concurrent meta data operations

[Janek Bevendorff <janek.bevendorff@xxxxxxxxxxxxx>]

which version?

Nautilus, 14.2.2.

try mounting cephfs on a machine/vm with small memory (4G~8G), then rsync your date into mount point of that machine.

I could try running it in a memory-limited Docker container, but isn't there a better way to achieve the same thing? This sounds like a bug to me. A client having too much memory and failing to free its capabilities shouldn't crash the server. If the server decides to drop things from its cache, the client has to deal with it.

Also in the long run, limiting the client's memory isn't a practical solution. We are planning to use the CephFS from our compute cluster, whose nodes have (and need) many more times the RAM that our storage servers have.

 

 

The MDS nodes have  Xeon E5-2620 v4 CPUs @2.10GHz with 32 threads (Dual
CPU with 8 physical cores each) and 128GB RAM. CPU usage is rather mild.
While MDSs are trying to rejoin, they tend to saturate a single thread
shortly, but nothing spectacular. During normal operation, none of the
cores is particularly under load.

> While migrating to a Nautilus cluster recently, we had up to 14
> million inodes open, and we increased the cache limit to 16GiB. Other
> than warnings about oversized cache, this caused no issues.

I tried settings of 1, 2, 5, 6, 10, 20, 50, and 90GB. Other than getting
rid of the cache size warnings (and sometimes allowing an MDS to rejoin
without being kicked again after a few seconds), it did not change much
in terms of the actual problem. Right now I can change it to whatever I
want, it doesn't do anything, because rank 0 keeps being trashed anyway
(the other ranks are fine, but the CephFS is down anyway). Is there
anything useful I can give you to debug this? Otherwise I would try
killing the MDS daemons so I can at least restore the CephFS to a
semi-operational state.


>
> On Tue, Jul 23, 2019 at 2:30 PM Janek Bevendorff wrote:
>> Hi,
>>
>> Disclaimer: I posted this before to the cheph.io mailing list, but from
>> the answers I didn't get and a look at the archives, I concluded that
>> that list is very dead. So apologies if anyone has read this before.
>>
>> I am trying to copy our storage server to a CephFS. We have 5 MONs in
>> our cluster and (now) 7 MDS with max_mds = 4. The list (!) of files I am
>> trying to copy is about 23GB, so it's a lot of files. I am copying them
>> in batches of 25k using 16 parallel rsync processes over a 10G link.
>>
>> I started out with 5 MDSs / 2 active, but had repeated issues with
>> immense and growing cache sizes far beyond the theoretical maximum of
>> 400k inodes which the 16 rsync processes could keep open at the same
>> time. The usual inode count was between 1 and 4 million and the cache
>> size between 20 and 80GB on average.
>>
>> After a while, the MDSs started failing under this load by either
>> crashing or being kicked from the quorum. I tried increasing the max
>> cache size, max log segments, and beacon grace period, but to no avail.
>> A crashed MDS often needs minutes to rejoin.
>>
>> The MDSs fail with the following message:
>>
>>    -21> 2019-07-22 14:00:05.877 7f67eacec700  1 heartbeat_map is_healthy
>> 'MDSRank' had timed out after 15
>>    -20> 2019-07-22 14:00:05.877 7f67eacec700  0 mds.beacon.XXX Skipping
>> beacon heartbeat to monitors (last acked 24.0042s ago); MDS internal
>> heartbeat is not healthy!
>>
>> I found the following thread, which seems to be about the same general
>> issue:
>>
>> http://lists.ceph.com/pipermail/ceph-users-ceph.com/2018-February/024944.html
>>
>> Unfortunately, it does not really contain a solution except things I
>> have tried already. Though it does give some explanation as to why the
>> MDSs pile up so many open inodes. It appears like Ceph can't handle many
>> (write-only) operations on different files, since the clients keep their
>> capabilities open and the MDS can't evict them from its cache. This is
>> very baffling to me, since how am I supposed to use a CephFS if I cannot
>> fill it with files before?
>>
>> The next thing I tried was increasing the number of active MDSs. Three
>> seemed to make it worse, but four worked surprisingly well.
>> Unfortunately, the crash came eventually and the rank-0 MDS got kicked.
>> Since then the standbys have been (not very successfully) playing
>> round-robin to replace it, only to be kicked repeatedly. This is the
>> status quo right now and it has been going for hours with no end in
>> sight. The only option might be to kill all MDSs and let them restart
>> from empty caches.
>>
>> While trying to rejoin, the MDSs keep logging the above-mentioned error
>> message followed by
>>
>> 2019-07-23 17:53:37.386 7f3b135a5700  0 mds.0.cache.ino(0x100019693f8)
>> have open dirfrag * but not leaf in fragtree_t(*^3): [dir 0x100019693f8
>> /XXX_12_doc_ids_part7/ [2,head] auth{1=2,2=2} v=0 cv=0/0
>> state=1140850688 f() n() hs=17033+0,ss=0+0 | child=1 replicated=1
>> 0x5642a2ff7700]
>>
>> and then finally
>>
>> 2019-07-23 17:53:48.786 7fb02bc08700  1 mds.XXX Map has assigned me to
>> become a standby
>>
>> The other thing I noticed over the last few days is that after a
>> sufficient number of failures, the client locks up completely and the
>> mount becomes unresponsive, even after the MDSs are back. Sometimes this
>> lock-up is so catastrophic that I cannot even unmount the share with
>> umount -lf anymore and a reboot of the machine lets the kernel panic.
>> This looks like a bug to me.
>>
>> I hope somebody can provide me with tips to stabilize our setup. I can
>> move data through our RadosGWs over 7x10Gbps from 130 nodes in parallel,
>> no problem. But I cannot even rsync a few TB of files from a single node
>> to the CephFS without knocking out the MDS daemons.
>>
>> Any help is greatly appreciated!
>>
>> Janek
>>
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