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I have a pretty unusual setup with three servers doing "chained replication" of zfs filesystems.
By "chained replication" I mean the following scenario:
Consider servers A,B and C. The zfs filesystem from A is replicated using zrepl to B using a snap job on A and a pull job on B. The zfs filesystem on B is replicated using zrepl to C using a snap job on B and a pull job on C.
The conflict arises because the pull job on B finds the bookmark created on the filesystem by the pull job running on C. This bookmark obviously cannot be found on A so the job considers the two filesystems diverged and the conflict cannot be resolved.
Jun 7 12:02:36 backup01 zrepl[9348]: [nxtmail01_sync][repl][Uv38$Ny6V$7Bc5$7Bc5.6hqC]: conflict conflict="the receiver's latest snapshot is not present on sender:\n last common: @zrepl_nxtm01-b01_20210606_140303_000\n sender-only:\n receiver-only:\n @zrepl_b01-b03_20210607_090523_000\n" filesystem="mail/vmail"
I have drilled this problem down to the endpoint.go implementation and have come up with a very dirty fix by filtering out the listing of bookmarks in the Receiver's ListFileSystemVersions method. I realize this is not a usable fix for any other use case, it could in fact cause problems, this is the reason I didn't create a PR. I'm attaching a patch.
The way I see it, the bookmark causing the problems does contain the name of the job that created it. Maybe a good solution would be to somehow process only bookmarks created by the job currently running and disregarding the rest.
I do not understand the inner working of zrepl enough to be able to go further fixing this, but if I could get some pointers on how to proceed further I'm willing to help fix the issue.
The conflict arises because the pull job on B finds the bookmark created on the filesystem by the pull job running on C. This bookmark obviously cannot be found on A so the job considers the two filesystems diverged and the conflict cannot be resolved.
Great analysis!
I have drilled this problem down to the endpoint.go implementation and have come up with a very dirty fix by filtering out the listing of bookmarks in the Receiver's ListFileSystemVersions method. I realize this is not a usable fix for any other use case, it could in fact cause problems, this is the reason I didn't create a PR. I'm attaching a patch.
👍
The way I see it, the bookmark causing the problems does contain the name of the job that created it. Maybe a good solution would be to somehow process only bookmarks created by the job currently running and disregarding the rest.
I think the proper solution is that the replication algorithm shouldn't consider those bookmarks when determining divergence.
I do not understand the inner working of zrepl enough to be able to go further fixing this, but if I could get some pointers on how to proceed further I'm willing to help fix the issue.
The code that computes the incremental path is this function (use VS Code or similar to find its callers)
I'm considering adopting zrepl to replace my current solution (which is a combination of a hacked version of zxfer and a hacked version of zfSnap), since this is more modern, maintained, and will allow me to use ZFS-native encryption in the way that I want to do so.
However, I'm in this exact scenario: multiple source machines (laptops and servers) which replicate to a primary backup server; that machine then replicates to removable storage disks and a secondary backup server at a different physical location. For bonus points, the secondary server (C, in this situation) also hosts some of its own content, and replicates that content the other direction to B (but not to any of the A machines), and B replicates it onto the removable storage disks.
I'm more than willing to help out here to try to resolve this bug, although I've only written a small amount of Go code I can read it reasonably well. Is the proposed solution in this issue still the preferred way to approach it?
I'm more than willing to help out here to try to resolve this bug, although I've only written a small amount of Go code I can read it reasonably well. Is the proposed solution in this issue still the preferred way to approach it?
Excellent. I won't have my systems fully setup with zrepl until this weekend, but at that point I should be able to replicate this problem and then begin work on solving it.
For what it's worth, my fleet of machines don't suffer from this problem.
I've got:
(A1 .. A7) -> B -> (C & D1..D3)
and for completeness I've also got:
C -> B -> D1..D3
where:
A1..A7 are 'client' machines (snap and push jobs only)
B is my NAS, which has snap/push for sending to C and D, and sink for receiving from A1..A7 and C
C is my remote server, which has snap/push for sending to B and sink for receiving from B
D1..D3 is a set of removable hard drives which have 'local' push/sink jobs on B
The jobs that move content between B and C cover distinct (non-overlapping) sets of filesystems.
All of this is working fine, with no cursor/bookmark conflicts at all.
Activity
problame commentedon Jun 15, 2021
Great analysis!
👍
I think the proper solution is that the replication algorithm shouldn't consider those bookmarks when determining divergence.
The code that computes the incremental path is this function (use VS Code or similar to find its callers)
zrepl/replication/logic/diff/diff.go
Lines 75 to 131 in 3f8fe3a
We have some unit tests for the diff algorithm in
replication/logic/diff/diff_test.go.Feel free to start hacking on this. I won't have too much time for at least another week.
Please start a WIP PR early so that you get notified by CI.
kpfleming commentedon Jun 22, 2022
I'm considering adopting zrepl to replace my current solution (which is a combination of a hacked version of
zxferand a hacked version ofzfSnap), since this is more modern, maintained, and will allow me to use ZFS-native encryption in the way that I want to do so.However, I'm in this exact scenario: multiple source machines (laptops and servers) which replicate to a primary backup server; that machine then replicates to removable storage disks and a secondary backup server at a different physical location. For bonus points, the secondary server (C, in this situation) also hosts some of its own content, and replicates that content the other direction to B (but not to any of the A machines), and B replicates it onto the removable storage disks.
I'm more than willing to help out here to try to resolve this bug, although I've only written a small amount of Go code I can read it reasonably well. Is the proposed solution in this issue still the preferred way to approach it?
problame commentedon Jun 27, 2022
Yes, it is.
kpfleming commentedon Jun 29, 2022
Excellent. I won't have my systems fully setup with zrepl until this weekend, but at that point I should be able to replicate this problem and then begin work on solving it.
problame commentedon Jun 30, 2022
Ok. For dev setup, I'd recommend two Vagrant boxes, or two local VMs. Don't mess with your prod system!
Filter bookmarks when searching filesystem versions.
kresike commentedon Jul 18, 2022
I've published my fix for this issue, please feel free to test and/or review.
kpfleming commentedon Jul 22, 2022
For what it's worth, my fleet of machines don't suffer from this problem.
I've got:
(A1 .. A7) -> B -> (C & D1..D3)
and for completeness I've also got:
C -> B -> D1..D3
where:
A1..A7 are 'client' machines (snap and push jobs only)
B is my NAS, which has snap/push for sending to C and D, and sink for receiving from A1..A7 and C
C is my remote server, which has snap/push for sending to B and sink for receiving from B
D1..D3 is a set of removable hard drives which have 'local' push/sink jobs on B
The jobs that move content between B and C cover distinct (non-overlapping) sets of filesystems.
All of this is working fine, with no cursor/bookmark conflicts at all.
replication: ignore bookmarks when computing incremental path
replication: ignore bookmarks when computing incremental path
lpulley commentedon Nov 1, 2022
@kpfleming how do you handle snapshot pruning on the A>B>C chain?
lpulley commentedon Nov 1, 2022
Oh, 0.6.0 released today. What timing. Maybe that'll fix my problems.