docs: explain some technical details about datastores/chunks

adds explanations for:
* what datastores are
* their relation with snapshots/chunks
* basic information about chunk directory structures
* fixed-/dynamically-sized chunks
* special handling of encrypted chunks
* hash collision probability
* limitation of file-based backups

Signed-off-by: Dominik Csapak <d.csapak@proxmox.com>
This commit is contained in:
Dominik Csapak 2020-12-11 13:17:09 +01:00 committed by Thomas Lamprecht
parent baf9c3704e
commit 1531185dd0
3 changed files with 170 additions and 0 deletions

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@ -33,6 +33,7 @@ in the section entitled "GNU Free Documentation License".
pve-integration.rst pve-integration.rst
pxar-tool.rst pxar-tool.rst
sysadmin.rst sysadmin.rst
technical-overview.rst
faq.rst faq.rst
.. raw:: latex .. raw:: latex

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docs/technical-overview.rst Normal file
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Technical Overview
==================
.. _technical_overview:
Datastores
----------
A Datastore is the logical place where :ref:`Backup Snapshots <backup_snapshot>`
and their chunks are stored. Snapshots consist of a manifest, blobs,
dynamic- and fixed-indexes (see :ref:`terminology`), and are stored in the
following directory structure:
<datastore-root>/<type>/<id>/<time>/
The deduplication of datastores is based on reusing chunks, which are
referenced by the indexes in a backup snapshot. This means that multiple
indexes can reference the same chunks, reducing the amount of space
needed to contain the data (even across backup snapshots).
Chunks
------
A chunk is some (possibly encrypted) data with a CRC-32 checksum at
the end and a type marker at the beginning. It is identified by the
SHA-256 checksum of its content.
To generate such chunks, backup data is split either into fixed-size or
dynamically sized chunks. The same content will be hashed to the same
checksum.
The chunks of a datastore are found in
<datastore-root>/.chunks/
This chunk directory is further subdivided by the first four byte of the
chunks checksum, so the chunk with the checksum
a342e8151cbf439ce65f3df696b54c67a114982cc0aa751f2852c2f7acc19a8b
lives in
<datastore-root>/.chunks/a342/
This is done to reduce the number of files per directory, as having
many files per directory can be bad for file system performance.
These chunk directories ('0000'-'ffff') will be preallocated when a datastore is
created.
Fixed-sized Chunks
^^^^^^^^^^^^^^^^^^
For block based backups (like VMs), fixed-sized chunks are used. The content
(disk image), is split into chunks of the same length (typically 4 MiB).
This works very well for VM images, since the file system on the guest
most often tries to allocate files in contiguous pieces, so new files get
new blocks, and changing existing files changes only their own blocks.
As an optimization, VMs in `Proxmox VE`_ can make use of 'dirty bitmaps',
which can track the changed blocks of an image. Since these bitmap
are also a representation of the image split into chunks, we have
a direct relation between dirty blocks of the image and chunks we have
to upload, so only modified chunks of the disk have to be uploaded for a backup.
Since we always split the image into chunks of the same size, unchanged
blocks will result in identical checksums for those chunks, so such chunks do not
need to be backed up again. This way storage snapshots are not needed to find
the changed blocks.
For consistency, `Proxmox VE`_ uses a QEMU internal snapshot mechanism, that
does not rely on storage snapshots either.
Dynamically sized Chunks
^^^^^^^^^^^^^^^^^^^^^^^^
If one does not want to backup block-based systems but rather file-based systems,
using fixed-sized chunks is not a good idea, since every time a file
would change in size, the remaining data gets shifted around and this
would result in many chunks changing, reducing the amount of deduplication.
To improve this, `Proxmox Backup`_ Server uses dynamically sized chunks
instead. Instead of splitting an image into fixed sizes, it first generates
a consistent file archive (:ref:`pxar <pxar-format>`) and uses a rolling hash
over this on-the-fly generated archive to calculate chunk boundaries.
We use a variant of Buzhash which is a cyclic polynomial algorithm.
It works by continuously calculating a checksum while iterating over the
data, and on certain conditions it triggers a hash boundary.
Assuming that most files of the system that is to be backed up have not changed,
eventually the algorithm triggers the boundary on the same data as a previous
backup, resulting in chunks that can be reused.
Encrypted Chunks
^^^^^^^^^^^^^^^^
Encrypted chunks are a special case. Both fixed- and dynamically sized
chunks can be encrypted, and they are handled in a slightly different manner
than normal chunks.
The hashes of encrypted chunks are calculated not with the actual (encrypted)
chunk content, but with the plaintext content concatenated with
the encryption key. This way, two chunks of the same data encrypted with
different keys generate two different checksums and no collisions occur for
multiple encryption keys.
This is done to speed up the client part of the backup, since it only needs
to encrypt chunks that are actually getting uploaded. Chunks that exist
already in the previous backup, do not need to be encrypted and uploaded.
Caveats and Limitations
-----------------------
Notes on hash collisions
^^^^^^^^^^^^^^^^^^^^^^^^
Every hashing algorithm has a chance to produce collisions, meaning two (or more)
inputs generate the same checksum. For SHA-256, this chance is negligible.
To calculate such a collision, one can use the ideas of the 'birthday problem'
from probability theory. For big numbers, this is actually infeasible to
calculate with regular computers, but there is a good approximation:
.. math::
p(n, d) = 1 - e^{-n^2/(2d)}
Where `n` is the number of tries, and `d` is the number of possibilities.
So for example, if we assume a large datastore of 1 PiB, and an average chunk
size of 4 MiB, we have :math:`n = 268435456` tries, and :math:`d = 2^{256}`
possibilities. Using the above formula we get that the probability of a
collision in that scenario is:
.. math::
3.1115 * 10^{-61}
For context, in a lottery game of 6 of 45, the chance to correctly guess all
6 numbers is only :math:`1.2277 * 10^{-7}`.
So it is extremely unlikely that such a collision would occur by accident
in a normal datastore.
Additionally, SHA-256 is prone to length extension attacks, but since
there is an upper limit for how big the chunk are, this is not a
problem, since a potential attacker cannot arbitrarily add content to
the data beyond that limit.
File-based Backup
^^^^^^^^^^^^^^^^^
Since dynamically sized chunks (for file-based backups) are created on a custom
archive format (pxar) and not over the files directly, there is no relation
between files and the chunks. This means we have to read all files again
for every backup, otherwise it would not be possible to generate a consistent
pxar archive where the original chunks can be reused.
Verification of encrypted chunks
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
For encrypted chunks, only the checksum of the original (plaintext) data
is available, making it impossible for the server (without the encryption key),
to verify its content against it. Instead only the CRC-32 checksum gets checked.

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@ -1,3 +1,5 @@
.. _terminology:
Terminology Terminology
=========== ===========
@ -99,6 +101,7 @@ Backup Group
The tuple ``<type>/<ID>`` is called a backup group. Such a group The tuple ``<type>/<ID>`` is called a backup group. Such a group
may contain one or more backup snapshots. may contain one or more backup snapshots.
.. _backup_snapshot:
Backup Snapshot Backup Snapshot
--------------- ---------------