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git://git.proxmox.com/git/pve-qemu.git
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2b2949ca3a
Signed-off-by: Tim Marx <t.marx@proxmox.com>
117 lines
4.0 KiB
Plaintext
117 lines
4.0 KiB
Plaintext
Efficient VM backup for qemu
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=Requirements=
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* Backup to a single archive file
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* Backup needs to contain all data to restore VM (full backup)
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* Do not depend on storage type or image format
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* Avoid use of temporary storage
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* store sparse images efficiently
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=Introduction=
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Most VM backup solutions use some kind of snapshot to get a consistent
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VM view at a specific point in time. For example, we previously used
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LVM to create a snapshot of all used VM images, which are then copied
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into a tar file.
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That basically means that any data written during backup involve
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considerable overhead. For LVM we get the following steps:
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1.) read original data (VM write)
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2.) write original data into snapshot (VM write)
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3.) write new data (VM write)
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4.) read data from snapshot (backup)
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5.) write data from snapshot into tar file (backup)
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Another approach to backup VM images is to create a new qcow2 image
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which use the old image as base. During backup, writes are redirected
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to the new image, so the old image represents a 'snapshot'. After
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backup, data need to be copied back from new image into the old
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one (commit). So a simple write during backup triggers the following
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steps:
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1.) write new data to new image (VM write)
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2.) read data from old image (backup)
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3.) write data from old image into tar file (backup)
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4.) read data from new image (commit)
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5.) write data to old image (commit)
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This is in fact the same overhead as before. Other tools like qemu
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livebackup produces similar overhead (2 reads, 3 writes).
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Some storage types/formats supports internal snapshots using some kind
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of reference counting (rados, sheepdog, dm-thin, qcow2). It would be possible
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to use that for backups, but for now we want to be storage-independent.
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=Make it more efficient=
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The be more efficient, we simply need to avoid unnecessary steps. The
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following steps are always required:
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1.) read old data before it gets overwritten
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2.) write that data into the backup archive
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3.) write new data (VM write)
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As you can see, this involves only one read, and two writes.
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To make that work, our backup archive need to be able to store image
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data 'out of order'. It is important to notice that this will not work
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with traditional archive formats like tar.
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During backup we simply intercept writes, then read existing data and
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store that directly into the archive. After that we can continue the
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write.
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==Advantages==
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* very good performance (1 read, 2 writes)
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* works on any storage type and image format.
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* avoid usage of temporary storage
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* we can define a new and simple archive format, which is able to
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store sparse files efficiently.
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Note: Storing sparse files is a mess with existing archive
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formats. For example, tar requires information about holes at the
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beginning of the archive.
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==Disadvantages==
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* we need to define a new archive format
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Note: Most existing archive formats are optimized to store small files
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including file attributes. We simply do not need that for VM archives.
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* archive contains data 'out of order'
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If you want to access image data in sequential order, you need to
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re-order archive data. It would be possible to to that on the fly,
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using temporary files.
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Fortunately, a normal restore/extract works perfectly with 'out of
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order' data, because the target files are seekable.
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* slow backup storage can slow down VM during backup
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It is important to note that we only do sequential writes to the
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backup storage. Furthermore one can compress the backup stream. IMHO,
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it is better to slow down the VM a bit. All other solutions creates
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large amounts of temporary data during backup.
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=Archive format requirements=
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The basic requirement for such new format is that we can store image
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date 'out of order'. It is also very likely that we have less than 256
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drives/images per VM, and we want to be able to store VM configuration
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files.
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We have defined a very simply format with those properties, see:
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https://git.proxmox.com/?p=pve-qemu.git;a=blob;f=vma_spec.txt;
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Please let us know if you know an existing format which provides the
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same functionality.
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