2017-04-05 14:02:16 +00:00
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zvault(1) -- Deduplicating backup solution
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==========================================
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## SYNOPSIS
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`zvault <SUBCOMMAND>`
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## DESCRIPTION
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ZVault is a deduplicating backup solution. It creates backups from data read
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from the filesystem or a tar file, deduplicates it, optionally compresses and
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encrypts the data and stores the data in bundles at a potentially remote storage
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location.
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## OPTIONS
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2017-05-17 06:58:54 +00:00
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* `-q`, `--quiet`:
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Print less information
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* `-v`, `--verbose`:
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Print more information
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2017-04-05 14:02:16 +00:00
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* `-h`, `--help`:
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Prints help information
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* `-V`, `--version`:
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Prints version information
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## SUBCOMMANDS
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### Main Commands
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* `init` Initialize a new repository, _zvault-init(1)_
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* `import` Reconstruct a repository from the remote storage, _zvault-import(1)_
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* `backup` Create a new backup, _zvault-backup(1)_
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* `restore` Restore a backup or subtree, _zvault-restore(1)_
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* `check` Check the repository, a backup or a backup subtree, _zvault-check(1)_
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* `list` List backups or backup contents, _zvault-list(1)_
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* `info` Display information on a repository, a backup or a subtree, _zvault-info(1)_
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* `mount` Mount the repository, a backup or a subtree, _zvault-mount(1)_
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* `remove` Remove a backup or a subtree, _zvault-remove(1)_
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* `copy` Create a copy of a backup, _zvault-copy(1)_
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* `prune` Remove backups based on age, _zvault-prune(1)_
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* `vacuum` Reclaim space by rewriting bundles, _zvault-vacuum(1)_
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### Other Commands
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* `addkey` Add a key pair to the repository, _zvault-addkey(1)_
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* `algotest` Test a specific algorithm combination, _zvault-algotest(1)_
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* `analyze` Analyze the used and reclaimable space of bundles, _zvault-analyze(1)_
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* `bundleinfo` Display information on a bundle, _zvault-bundleinfo(1)_
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* `bundlelist` List bundles in a repository, _zvault-bundlelist(1)_
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* `config` Display or change the configuration, _zvault-config(1)_
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* `diff` Display differences between two backup versions, _zvault-diff(1)_
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* `genkey` Generate a new key pair, _zvault-genkey(1)_
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* `versions` Find different versions of a file in all backups, _zvault-versions(1)_
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## USAGE
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### Path syntax
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Most subcommands work with a repository that has to be specified as a parameter.
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If the given repository path is absolute, this path will be used as is.
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If the given path is relative, the repository will be located in
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`~/.zvault/repos`. If the path is empty (specified as `::`), the default
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repository in `~/.zvault/repos/default` will be used.
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Some subcommands need to reference a specific backup in the repository. This is
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done via the syntax `repository::backup_name` where `repository` is the path to
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the repository and `backup_name` is the name of the backup in that repository
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as listed by `zvault list`. In this case, `repository` can be omitted,
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shortening the syntax to `::backup_name`. In this case, the default repository
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is used.
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Some subcommands need to reference a specific subtree inside a backup. This is
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done via the syntax `repository::backup_name::subtree` where
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`repository::backup_name` specifies a backup as described before and `subtree`
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is the path to the subtree of the backup. Again, `repository` can be omitted,
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yielding the shortened syntax `::backup_name::subtree`.
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Some subcommands can take either a repository, a backup or a backup subtree. In
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this case it is important to note that if a path component is empty, it is
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regarded as not set at all.
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Examples:
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- `~/.zvault` references the repository in `~/.zvault` and is identical with
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`::`.
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- `::backup1` references the backup `backup1` in the default repository
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- `::backup1::/` references the root folder of the backup `backup1` in the
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default repository
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## CONFIGURATION OPTIONS
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ZVault offers some configuration options that affect the backup speed, storage
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space, security and RAM usage. Users should select them carefully for their
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scenario. The performance of different combinations can be compared using
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_zvault-algotest(1)_.
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### Bundle size
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The target bundle size affects how big bundles written to the remote storage
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will become. The configured size is not a hard maximum, as headers and some
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effects of compression can cause bundles to become slightly larger than this
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size. Also since bundles will be closed at the end of a backup run, some bundles
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can also be smaller than this size. However most bundles will end up with
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approximately the specified size.
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The configured value for the bundle size has some practical consequences.
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Since the whole bundle is compressed as a whole (a so-called *solid archive*),
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the compression ratio is impacted negatively if bundles are small. Also the
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remote storage could become inefficient if too many small bundle files are
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stored. On the other side, since the whole bundle has to be fetched and
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decompressed to read a single chunk from that bundle, bigger bundles increase
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the overhead of reading the data.
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The recommended bundle size is 25 MiB, but values between 5 MiB and 100 MiB
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should also be feasable.
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### Chunker
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The chunker is the component that splits the input data into so-called *chunks*.
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The main goal of the chunker is to produce as many identical chunks as possible
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when only small parts of the data changed since the last backup. The identical
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chunks do not have to be stored again, thus the input data is deduplicated.
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To achieve this goal, the chunker splits the input data based on the data
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itself, so that identical parts can be detected even when their position
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changed.
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ZVault offers different chunker algorithms with different properties to choose
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from:
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- The **rabin** chunker is a very common algorithm with a good quality but a
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mediocre speed (about 350 MB/s).
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- The **ae** chunker is a novel approach that can reach very high speeds
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(over 750 MB/s) at a cost of deduplication rate.
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- The **fastcdc** algorithm reaches a similar deduplication rate as the rabin
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chunker but is faster (about 550 MB/s).
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The recommended chunker is **fastcdc**.
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Besides the chunker algorithm, an important setting is the target chunk size,
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i.e. the planned average chunk size. Since the chunker splits the data on
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data-dependent criteria, it will not achieve the configured size exactly.
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The chunk size has a number of practical implications. Since deduplication works
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by identifying identical chunks, smaller chunk sizes will be able to find more
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identical chunks and thereby reduce the overall storage space.
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On the other side, the index needs to store 24 bytes per chunk, so many small
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chunks will take more space than few big chunks. Since the index of all chunks
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in the repository needs to be loaded into memory during the backup, huge
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repositories can get a problem with memory usage. Since the index could be only
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40% filled and the chunker could yield smaller chunks than configured, 100 bytes
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per chunk should be a safe value to calculate with.
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The configured value for chunk size needs to be a power of 2. Here is a
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selection of chunk sizes and their estimated RAM usage:
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- Chunk size 4 KiB => ~40 GiB data stored in 1 GiB RAM
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- Chunk size 8 KiB => ~80 GiB data stored in 1 GiB RAM
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- Chunk size 16 KiB => ~160 GiB data stored in 1 GiB RAM
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- Chunk size 32 KiB => ~325 GiB data stored in 1 GiB RAM
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- Chunk size 64 KiB => ~650 GiB data stored in 1 GiB RAM
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- Chunk size 128 KiB => ~1.3 TiB data stored in 1 GiB RAM
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- Chunk size 256 KiB => ~2.5 TiB data stored in 1 GiB RAM
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- Chunk size 512 KiB => ~5 TiB data stored in 1 GiB RAM
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- Chunk size 1024 KiB => ~10 TiB data stored in 1 GiB RAM
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The recommended chunk size for normal computers is 16 KiB. Servers with lots of
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data might want to use 128 KiB or 1024 KiB instead.
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The chunker algortihm and chunk size are configured together in the format
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`algorithm/size` where algorithm is one of `rabin`, `ae` and `fastcdc` and size
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is the size in KiB e.g. `16`. So the recommended configuration is `fastcdc/16`.
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Please not that since the chunker algorithm and chunk size affect the chunks
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created from the input data, any change to those values will make existing
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chunks inaccessible for deduplication purposes. The old data is still readable
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but new backups will have to store all data again.
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### Compression
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ZVault offers different compression algorithms that can be used to compress the
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stored data after deduplication. The compression ratio that can be achieved
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mostly depends on the input data (test data can be compressed well and media
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data like music and videos are already compressed and can not be compressed
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significantly).
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Using a compression algorithm is a trade-off between backup speed and storage
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space. Higher compression takes longer and saves more space while low
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compression is faster but needs more space.
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ZVault supports the following compression methods:
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- **deflate** (also called *zlib* and *gzip*) is the most common algorithm today
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and guarantees that backups can be decompressed in future centuries. Its
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speed and compression ratio are acceptable but other algorithms are better.
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This is a rather conservative choice. This algorithm supports the levels 1
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(fastest) to 9 (best).
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- **lz4** is a very fast compression algorithm that does not impact backup speed
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very much. It does not compress as good as other algorithms but is much faster
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than all other algorithms. This algorithm supports levels 1 (fastest) to 14
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(best) but levels above 7 are significantly slower and not recommended.
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- **brotli** is a modern compression algorithm that is both faster and
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compresses better than deflate. It offers a big range of compression ratios
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and speeds via its levels. This algorithm supports levels 1 (fastest) to 10
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(best).
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- **lzma** is about the algorithm with the best compression today. That comes
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at the cost of speed. LZMA is rather slow at all levels so it can slow down
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the backup speed significantly. This algorithm supports levels 1 (fastest) to
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9 (best).
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The recommended combinations are:
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- Focusing speed: lz4 with level between 1 and 7
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- Balanced focus: brotli with levels between 1 and 10
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- Focusing storage space: lzma with levels between 1 and 9
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The compression algorithm and level are configured together via the syntax
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`algorithm/level` where `algorithm` is either `deflate`, `lz4`, `brotli` or
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`lzma` and `level` is a number.
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The default compression setting is **brotli/3**.
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Since the compression ratio and speed hugely depend on the input data,
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_zvault-algotest(1)_ should be used to compare algorithms with actual input
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data.
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### Encryption
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When enabled, zVault uses modern encryption provided by *libsodium* to encrypt
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the bundles that are stored remotely. This makes it impossible for anyone with
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access to the remote bundles to read their contents or to modify them.
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zVault uses asymmetric encryption, which means that encryption uses a so called
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*public key* and decryption uses a different *secret key*. This makes it
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possible to setup a backup configuration where the machine can only create
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backups but not read them. Since lots of subcommands need to read the backups,
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this setup is not recommended in general.
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The key pairs used by zVault can be created by _zvault-genkey(1)_ and added to a
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repository via _zvault-addkey(1)_ or upon creation via the `--encryption` flag
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in _zvault-init(1)_.
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**Important: The key pair is needed to read and restore any encrypted backup.
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Loosing the secret key means that all data in the backups is lost forever.
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There is no backdoor, even the developers of zVault can not recover a lost key
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pair. So it is important to store the key pair in a safe location. The key pair
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is small enough to be printed on paper for example.**
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### Hash method
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ZVault uses hash fingerprints to identify chunks. It is critically important
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that no two chunks have the same hash value (a so-called hash collision) as this
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would cause one chunk to overwrite the other chunk. For this purpose zVault uses
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128 bit hashes, that have a collision probability of less than 1.5e-15 even for
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1 trillion stored chunks (about 15.000 TiB stored data in 16 KiB chunks).
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ZVault offers two different hash algorithms: **blake2** and **murmur3**.
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Murmur3 is blazingly fast but is not cryptographically secure. That means that
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while random hash collisions are negligible, an attacker with access to files
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could manipulate a file so that it will cause a hash collision and affects other
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data in the repository. **This hash should only be used when the security
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implications of this are fully understood.**
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Blake2 is slower than murmur3 but also pretty fast and this hash algorithm is
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cryptographically secure, i.e. even an attacker can not cause hash collisions.
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The recommended hash algorithm is **blake2**.
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## EXAMPLES
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This command will initialize a repository in the default location with
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encryption enabled:
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$> zvault init :: -e --remote /mnt/remote/backups
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Before using this repository, the key pair located at `~/.zvault/keys` should be
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backed up in a safe location (e.g. printed to paper).
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This command will create a backup of the whole system tagged by date:
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$> zvault backup / ::system/$(date +%F)
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If the home folders are mounted on /home, the following command can be used to
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backup them separatly (zVault will not backup mounted folders by default):
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$> zvault backup /home ::homes/$(date +%F)
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The backups can be listed by this command:
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$> zvault list ::
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and inspected by this command (the date needs to be adapted):
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$> zvault info ::homes/2017-04-06
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To restore some files from a backup, the following command can be used:
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$> zvault restore ::homes/2017-04-06::bob/file.dat /tmp
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Alternatively the repository can be mounted with this command:
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$> zvault mount ::homes/2017-04-06 /mnt/tmp
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A single backup can be removed with this command:
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$> zvault remove ::homes/2017-04-06
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Multiple backups can be removed based on their date with the following command
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(add `-f` to actually remove backups):
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2017-04-07 16:57:49 +00:00
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$> zvault prune :: --prefix system --daily 7 --weekly 5 --monthly 12
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2017-04-05 14:02:16 +00:00
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To reclaim storage space after removing some backups vacuum needs to be run
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(add `-f` to actually remove bundles):
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2017-04-07 16:57:49 +00:00
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$> zvault vacuum ::
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2017-04-05 14:02:16 +00:00
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## COPYRIGHT
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Copyright (C) 2017 Dennis Schwerdel
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This software is licensed under GPL-3 or newer (see LICENSE.md)
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