linux-btrfs.vger.kernel.org archive mirror
 help / color / mirror / Atom feed
From: Marc Joliet <marcec@gmx.de>
To: linux-btrfs@vger.kernel.org
Subject: Re: [4.7.2] btrfs_run_delayed_refs:2963: errno=-17 Object already exists
Date: Tue, 28 Feb 2017 23:14:54 +0100	[thread overview]
Message-ID: <21888099.8VRa6s2ieu@thetick> (raw)
In-Reply-To: <20170217091915.066488ef@jupiter.sol.kaishome.de>


[-- Attachment #1.1: Type: text/plain, Size: 32389 bytes --]

=2D-nextPart2283738.6rFPRxsZn9
Content-Transfer-Encoding: 7Bit
Content-Type: text/plain; charset="utf-8"

(Resend with the log compressed this time.)

On Friday 17 February 2017 09:19:15 Kai Krakow wrote:
> Am Tue, 14 Feb 2017 13:52:48 +0100
> 
> schrieb Marc Joliet <marcec@gmx.de>:
> > Hi again,
> > 
> > so, it seems that I've solved the problem:  After having to
> > umount/mount the FS several times to get btrfs-cleaner to finish, I
> > thought of the "failed to load free space [...], rebuilding it now"
> > type errors and decided to try the clear_cache mount option.  Since
> > then, my home server has been running its backups regularly again.
> > Furthermore, I was able back up my desktop again via send/recv (the
> > rsync based backup is still running, but I expect it to succeed).
> > The kernel log has also stayed clean.

*sigh*

It was working fine... until the 26th (so almost 2 weeks without incident).  
Now the error keeps occurring, and the clear_cache mount option stopped 
helping.  Just out of curiosity, I used "clear_cache,space_cache=v2", which 
also didn't help.  I've attached the full log, in case it's in any way useful.

This is all with:

% uname -a
Linux diefledermaus 4.9.12-gentoo #1 SMP Fri Feb 24 20:09:28 CET 2017 x86_64 
Intel(R) Core(TM)2 CPU T5600 @ 1.83GHz GenuineIntel GNU/Linux
% /sbin/btrfs --version
btrfs-progs v4.9

> > Kai, I'd be curious whether clear_cache will help in your case, too,
> > if you haven't tried it already.
> 
> The FS in question has been rebuilt from scratch. AFAIR it wasn't even
> mountable back then, or at it froze the system short after mounting.
> 
> I needed the system back in usable state, so I had to recreate and
> restore the system.

I think I'm at that point now myself, unless anybody has any other ideas.

What I *am* going to do before giving up and reformatting is create an image.  
I found out that using the -w option to btrfs-image keeps it from segfaulting, 
so I guess the underlying problem has to do with the extent tree?  However, 
the image is... pretty damn big (8.6 GB by now, *after* compressing with "xz 
=2D9"), and it's not even finished yet.  So, under the assumption that the image 
could be useful to somebody, I would welcome any suggestions for where to 
upload such an image once it's done.

> Next time, if it happens again (finger crossed it does not), I'll give
> it a try.

Yeah, I hope it doesn't come back, either, for either of us.

Greetings
=2D- 
Marc Joliet
=2D-
"People who think they know everything really annoy those of us who know we
don't" - Bjarne Stroustrup
=2D-nextPart2283738.6rFPRxsZn9
Content-Disposition: attachment; filename="dmesg_since_20170226.log.zip"
Content-Transfer-Encoding: base64
Content-Type: application/zip; name="dmesg_since_20170226.log.zip"
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=2D-nextPart2283738.6rFPRxsZn9--
This is a multi-part message in MIME format.

[-- Attachment #1.2: Type: text/plain, Size: 2475 bytes --]

(Resend with the log compressed this time.)

On Friday 17 February 2017 09:19:15 Kai Krakow wrote:
> Am Tue, 14 Feb 2017 13:52:48 +0100
> 
> schrieb Marc Joliet <marcec@gmx.de>:
> > Hi again,
> > 
> > so, it seems that I've solved the problem:  After having to
> > umount/mount the FS several times to get btrfs-cleaner to finish, I
> > thought of the "failed to load free space [...], rebuilding it now"
> > type errors and decided to try the clear_cache mount option.  Since
> > then, my home server has been running its backups regularly again.
> > Furthermore, I was able back up my desktop again via send/recv (the
> > rsync based backup is still running, but I expect it to succeed).
> > The kernel log has also stayed clean.

*sigh*

It was working fine... until the 26th (so almost 2 weeks without incident).  
Now the error keeps occurring, and the clear_cache mount option stopped 
helping.  Just out of curiosity, I used "clear_cache,space_cache=v2", which 
also didn't help.  I've attached the full log, in case it's in any way useful.

This is all with:

% uname -a
Linux diefledermaus 4.9.12-gentoo #1 SMP Fri Feb 24 20:09:28 CET 2017 x86_64 
Intel(R) Core(TM)2 CPU T5600 @ 1.83GHz GenuineIntel GNU/Linux
% /sbin/btrfs --version
btrfs-progs v4.9

> > Kai, I'd be curious whether clear_cache will help in your case, too,
> > if you haven't tried it already.
> 
> The FS in question has been rebuilt from scratch. AFAIR it wasn't even
> mountable back then, or at it froze the system short after mounting.
> 
> I needed the system back in usable state, so I had to recreate and
> restore the system.

I think I'm at that point now myself, unless anybody has any other ideas.

What I *am* going to do before giving up and reformatting is create an image.  
I found out that using the -w option to btrfs-image keeps it from segfaulting, 
so I guess the underlying problem has to do with the extent tree?  However, 
the image is... pretty damn big (8.6 GB by now, *after* compressing with "xz 
-9"), and it's not even finished yet.  So, under the assumption that the image 
could be useful to somebody, I would welcome any suggestions for where to 
upload such an image once it's done.

> Next time, if it happens again (finger crossed it does not), I'll give
> it a try.

Yeah, I hope it doesn't come back, either, for either of us.

Greetings
-- 
Marc Joliet
--
"People who think they know everything really annoy those of us who know we
don't" - Bjarne Stroustrup

[-- Attachment #1.3: dmesg_since_20170226.log.zip --]
[-- Type: application/zip, Size: 21848 bytes --]

[-- Attachment #2: This is a digitally signed message part. --]
[-- Type: application/pgp-signature, Size: 801 bytes --]

  reply	other threads:[~2017-02-28 22:15 UTC|newest]

Thread overview: 23+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2016-08-28 13:29 [4.7.2] btrfs_run_delayed_refs:2963: errno=-17 Object already exists Kai Krakow
2017-02-02 12:01 ` Marc Joliet
2017-02-03 22:44   ` Kai Krakow
2017-02-10 22:15     ` Marc Joliet
2017-02-11  2:01       ` Kai Krakow
2017-02-11 10:18         ` Marc Joliet
2017-02-14 12:52           ` Marc Joliet
2017-02-17  8:19             ` Kai Krakow
2017-02-28 22:14               ` Marc Joliet [this message]
2017-03-01  8:23                 ` Marc Joliet
2017-03-01  9:32                   ` Qu Wenruo
2017-03-01 18:14                     ` Marc Joliet
2017-03-01 18:27                       ` Marc Joliet
2017-03-01 18:43                       ` Marc Joliet
2017-03-02  9:44                       ` Marc Joliet
2017-03-03  1:09                         ` Qu Wenruo
2017-03-03 11:26                           ` Marc Joliet
2017-03-05 23:53                       ` Marc Joliet
2017-03-06 11:18                         ` Marc Joliet
2017-03-02  0:43   ` Qu Wenruo
2017-03-02  9:43     ` Marc Joliet
2017-03-03  1:00       ` Qu Wenruo
2017-03-03 11:54         ` Marc Joliet

Reply instructions:

You may reply publicly to this message via plain-text email
using any one of the following methods:

* Save the following mbox file, import it into your mail client,
  and reply-to-all from there: mbox

  Avoid top-posting and favor interleaved quoting:
  https://en.wikipedia.org/wiki/Posting_style#Interleaved_style

* Reply using the --to, --cc, and --in-reply-to
  switches of git-send-email(1):

  git send-email \
    --in-reply-to=21888099.8VRa6s2ieu@thetick \
    --to=marcec@gmx.de \
    --cc=linux-btrfs@vger.kernel.org \
    /path/to/YOUR_REPLY

  https://kernel.org/pub/software/scm/git/docs/git-send-email.html

* If your mail client supports setting the In-Reply-To header
  via mailto: links, try the mailto: link
Be sure your reply has a Subject: header at the top and a blank line before the message body.
This is a public inbox, see mirroring instructions
for how to clone and mirror all data and code used for this inbox;
as well as URLs for NNTP newsgroup(s).