It’s fairly obvious why stopping a service while backing it up makes sense. Imagine backing up Immich while it’s running. You start the backup, db is backed up, now image assets are being copied. That could take an hour. While the assets are being backed up, a new image is uploaded. The live database knows about it but the one you’ve backed up doesn’t. Then your backup process reaches the new image asset and it copies it. If you restore this backup, Immich will contain an asset that isn’t known by the database. In order to avoid scenarios like this, you’d stop Immich while the backup is running.
Now consider a system that can do instant snapshots like ZFS or LVM. Immich is running, you stop it, take a snapshot, then restart it. Then you backup Immich from the snapshot while Immich is running. This should reduce the downtime needed to the time it takes to do the snapshot. The state of Immich data in the snapshot should be equivalent to backing up a stopped Immich instance.
Now consider a case like above without stopping Immich while taking the snapshot. In theory the data you’re backing up should represent the complete state of Immich at a point in time eliminating the possibility of divergent data between databases and assets. It would however represent the state of a live Immich instance. E.g. lock files, etc. Wouldn’t restoring from such a backup be equivalent to kill -9 or pulling the cable and restarting the service? If a service can recover from a cable pull, is it reasonable to consider it should recover from restoring from a snapshot taken while live? If so, is there much point to stopping services during snapshots?
That’s the trivial scenario that we know won’t fail - stopping the service during snapshot. The scenario that I was asking people’s opinions on is not stopping the service during snapshot and what restoring from such backup would mean.
Let me contrast the two by completing your example:
docker start container
- Time passes
- Time to backup
docker stop container
- Make your snapshot
docker start container
- Time passes
- Shit happens and restore from backup is needed
docker stop container
- Restore from snapshot
docker start container
Now here’s the interesting scenario:
docker start container
- Time passes
- Time to backup
- Make your snapshot
- Time passes
- Shit happens and restore from backup is needed
docker stop container
- Restore from snapshot
docker start container
Notice that in the second scenario we are not stopping the container. The snapshot is taken while it’s live. This means databases and other files are open, likely actively being written to. Some files are likely only partially written. There are also likely various temporary lock files present. All of that is stored in the snapshot. When we restore from this snapshot and start the service it will see all of that. Contrast this with the trivial scenario when the service is stopped. Upon stopping it, all data is synced to disk, inflight database operations are completed or canceled, partial writes are completed or discarded, lock files are cleaned up. When we restore from such a snapshot and start the service, it will “think” it just starts from a clean stop, nothing extra to do. In the live snapshot scenario the service will have to do cleanup. For example it will have to decide what to do with existing lock files. Are they there because there’s another instance of the service that is running and writing to the database or did someone kill its process before it had the chance to go through its shutdown procedure. In the former case it might have to log an error and quit. In the other it would have to remove the lock files. And so on and so forth.
As for th effect of docker on any of this, whether you have
docker stop container
orsystemctl stop service
orpkill service
the effects on the process and its data is all the same. In fact the docker and systemctl commands will result in a kill signal being sent to the process of the service anyway.Oh I see – you’re asking a hypothetical.
The simple answer is that it’s a bad idea to take snapshots of running databases because at best they could be missing info and at worst they can corrupt.
The short answer: Don’t.