Ratarmount collects all file positions inside a TAR so that it can easily jump to and read from any file without extracting it. It, then, mounts the TAR using fusepy for read access just like archivemount. In contrast to libarchive, on which archivemount is based, random access and true seeking is supported. And in contrast to tarindexer, which also collects file positions for random access, ratarmount offers easy access via FUSE and support for compressed TARs.
Capabilities:
- Highly Parallelized: By default, all cores are used for parallelized algorithms like for the gzip, bzip2, and xz decoders.
This can yield huge speedups on most modern processors but requires more main memory.
It can be controlled or completely turned off using the
-P <cores>
option. - Recursive Mounting: Ratarmount will also mount TARs inside TARs inside TARs, ... recursively into folders of the same name, which is useful for the 1.31TB ImageNet data set.
- Mount Compressed Files: You may also mount files with one of the supported compression schemes. Even if these files do not contain a TAR, you can leverage ratarmount's true seeking capabilities when opening the mounted uncompressed view of such a file.
- Read-Only Bind Mounting: Folders may be mounted read-only to other folders for usecases like merging a backup TAR with newer versions of those files residing in a normal folder.
- Union Mounting: Multiple TARs, compressed files, and bind mounted folders can be mounted under the same mountpoint.
- Write Overlay: A folder can be specified as write overlay. All changes below the mountpoint will be redirected to this folder and deletions are tracked so that all changes can be applied back to the archive.
TAR compressions supported for random access:
- BZip2 as provided by indexed_bzip2 as a backend, which is a refactored and extended version of bzcat from toybox. See also the reverse engineered specification.
- Gzip as provided by indexed_gzip by Paul McCarthy. See also RFC1952.
- Xz as provided by python-xz by Rogdham or lzmaffi by Tomer Chachamu. See also The .xz File Format.
- Zstd as provided by indexed_zstd by Marco Martinelli. See also Zstandard Compression Format.
Other supported archive formats:
- Rar as provided by rarfile by Marko Kreen. See also the RAR 5.0 archive format.
- Zip as provided by zipfile, which is distributed with Python itself. See also the ZIP File Format Specification.
- 7z, and many others as provided by libarchive.
You can install ratarmount either by simply downloading the AppImage or via pip. The latter might require installing additional dependencies.
The AppImage files are attached under "Assets" on the releases page.
They require no installation and can be simply executed like a portable executable.
If you want to install it, you can simply copy it into any of the folders listed in your PATH
.
wget 'https://github.com/mxmlnkn/ratarmount/releases/download/v0.10.0/ratarmount-manylinux2014_x86_64.AppImage'
chmod u+x 'ratarmount-manylinux2014_x86_64.AppImage'
./ratarmount-manylinux2014_x86_64.AppImage --help # Simple test run
sudo cp ratarmount-manylinux2014_x86_64.AppImage /usr/local/bin/ratarmount # Example installation
Python 3.6+, preferably pip 19.0+, FUSE, and sqlite3 are required. These should be preinstalled on most systems. On Debian-like systems like Ubuntu, you can install/update all dependencies using:
sudo apt install python3 python3-pip fuse sqlite3 unar
On macOS, you have to install macFUSE with:
brew install macfuse
If you are installing on a system for which there exists no manylinux wheel, then you'll have to install dependencies required to build from source:
sudo apt install python3 python3-pip fuse build-essential software-properties-common zlib1g-dev libzstd-dev liblzma-dev cffi
Then, you can simply install ratarmount from PyPI:
pip install ratarmount
Or, if you want to test the latest version:
python3 -m pip install --user --force-reinstall git+https://github.com/mxmlnkn/ratarmount.git@develop#egginfo=ratarmount
If there are troubles with the compression backend dependencies, you can try the pip --no-deps
argument.
Ratarmount will work without the compression backends.
The hard requirements are fusepy
and for Python versions older than 3.7.0 dataclasses
.
For xz support, lzmaffi
will be used if available.
Because lzmaffi
does not provide wheels and the build from source depends on cffi
, which might be missing, only python-xz
is a dependency of ratarmount.
If there are problems with xz files, please report any encountered issues.
But, as a quick workaround, you can try to simply switch out the xz decoder backend by installing lzmaffi
manually and ratarmount will use that instead with higher priority:
sudo apt install liblzma-dev
python3 -m pip install --user cffi # Necessary because of missing pyprojects.toml
python3 -m pip install --user lzmaffi
- Not shown in the benchmarks, but ratarmount can mount files with preexisting index sidecar files in under a second making it vastly more efficient compared to archivemount for every subsequent mount.
Also, archivemount has no progress indicator making it very unlikely the user will wait hours for the mounting to finish.
Fuse-archive, an iteration on archivemount, has the
--asyncprogress
option to give a progress indicator using the timestamp of a dummy file. Note that fuse-archive daemonizes instantly but the mount point will not be usable for a long time and everything trying to use it will hang until then when not using--asyncprogress
! - Getting file contents of a mounted archive is generally vastly faster than archivemount and fuse-archive and does not increase with the archive size or file count resulting in the largest observed speedups to be around 5 orders of magnitude!
- Memory consumption of ratarmount is mostly less than archivemount and mostly does not grow with the archive size.
Not shown in the plots, but the memory usage will be much smaller when not specifying
-P 0
, i.e., when not parallelizing. The gzip backend grows linearly with the archive size because the data for seeking is thousands of times larger than the simple two 64-bit offsets required for bzip2. The memory usage of the zstd backend only seems humongous because it usesmmap
to open. The memory used bymmap
is not even counted as used memory when showing the memory usage withfree
orhtop
. - For empty files, mounting with ratarmount and archivemount does not seem be bounded by decompression nor I/O bandwidths but instead by the algorithm for creating the internal file index. This algorithm scales linearly for ratarmount and fuse-archive but seems to scale worse than even quadratically for archives containing more than 1M files when using archivemount. Ratarmount 0.10.0 improves upon earlier versions by batching SQLite insertions.
- Mounting bzip2 and xz archives has actually become faster than archivemount and fuse-archive with
ratarmount -P 0
on most modern processors because it actually uses more than one core for decoding those compressions.indexed_bzip2
supports block parallel decoding since version 1.2.0. - Gzip compressed TAR files are two times slower than archivemount during first time mounting. It is not totally clear to me why that is because streaming the file contents after the archive being mounted is comparably fast, see the next benchmarks below. In order to have superior speeds for both of these, I am experimenting with a parallelized gzip decompressor like the prototype pugz offers for non-binary files only.
- For the other cases, mounting times become roughly the same compared to archivemount for archives with 2M files in an approximately 100GB archive.
- Getting a lot of metadata for archive contents as demonstrated by calling
find
on the mount point is an order of magnitude slower compared to archivemount. Because the C-based fuse-archive is even slower than ratarmount, the difference is very likely that archivemount uses the low-level FUSE interface while ratarmount and fuse-archive use the high-level FUSE interface.
- Reading files from the archive with archivemount are scaling quadratically instead of linearly.
This is because archivemount starts reading from the beginning of the archive for each requested I/O block.
The block size depends on the program or operating system and should be in the order of 4 kiB.
Meaning, the scaling is
O( (sizeOfFileToBeCopiedFromArchive / readChunkSize)^2 )
. Both, ratarmount and fuse-archive avoid this behavior. Because of this quadratic scaling, the average bandwidth with archivemount seems like it decreases with the file size. - Reading bz2 and xz are both an order of magnitude faster, as tested on my 12/24-core Ryzen 3900X, thanks to parallelization.
- Memory is bounded in these tests for all programs but ratarmount is a lot more lax with memory because it uses a Python stack and because it needs to hold caches for a constant amount of blocks for parallel decoding of bzip2 and xz files. The zstd backend in ratarmount looks unbounded because it uses mmap, whose memory usage will automatically stop and be freed if the memory limit has been reached.
- The peak for the xz decoder reading speeds happens because some blocks will be cached when loading the index, which is not included in the benchmark for technical reasons. The value for the 1 GiB file size is more realistic.
Further benchmarks can be viewed here.
You downloaded a large TAR file from the internet, for example the 1.31TB large ImageNet, and you now want to use it but lack the space, time, or a file system fast enough to extract all the 14.2 million image files.
Archivemount seems to have large performance issues for too many files and large archive for both mounting and file access in version 0.8.7. A more in-depth comparison benchmark can be found here.
- Mounting the 6.5GB ImageNet Large-Scale Visual Recognition Challenge 2012 validation data set, and then testing the speed with:
time cat mounted/ILSVRC2012_val_00049975.JPEG | wc -c
takes 250ms for archivemount and 2ms for ratarmount. - Trying to mount the 150GB ILSVRC object localization data set containing 2 million images was given up upon after 2 hours. Ratarmount takes ~15min to create a ~150MB index and <1ms for opening an already created index (SQLite database) and mounting the TAR. In contrast, archivemount will take the same amount of time even for subsequent mounts.
- Does not support recursive mounting. Although, you could write a script to stack archivemount on top of archivemount for all contained TAR files.
Tarindex is a command line to tool written in Python which can create index files and then use the index file to extract single files from the tar fast. However, it also has some caveats which ratarmount tries to solve:
- It only works with single files, meaning it would be necessary to loop over the extract-call. But this would require loading the possibly quite large tar index file into memory each time. For example for ImageNet, the resulting index file is hundreds of MB large. Also, extracting directories will be a hassle.
- It's difficult to integrate tarindexer into other production environments. Ratarmount instead uses FUSE to mount the TAR as a folder readable by any other programs requiring access to the contained data.
- Can't handle TARs recursively. In order to extract files inside a TAR which itself is inside a TAR, the packed TAR first needs to be extracted.
I didn't find out about TAR Browser before I finished the ratarmount script. That's also one of it's cons:
- Hard to find. I don't seem to be the only one who has trouble finding it as it has one star on Github after 7 years compared to 45 stars for tarindexer after roughly the same amount of time.
- Hassle to set up. Needs compilation and I gave up when I was instructed to set up a MySQL database for it to use. Confusingly, the setup instructions are not on its Github but here.
- Doesn't seem to support recursive TAR mounting. I didn't test it because of the MysQL dependency but the code does not seem to have logic for recursive mounting.
- Xz compression also is only block or frame based, i.e., only works faster with files created by pixz or pxz.
Pros:
- supports bz2- and xz-compressed TAR archives
Ratarmount creates an index file with file names, ownership, permission flags, and offset information.
This sidecar is stored at the TAR file's location or in ~/.ratarmount/
.
Ratarmount can load that index file in under a second if it exists and then offers FUSE mount integration for easy access to the files inside the archive.
The test with the first version (50e8dbb), which used the removed pickle backend for serializing the metadata index, for the ImageNet data set is promising:
- TAR size: 1.31TB
- Contains TARs: yes
- Files in TAR: ~26 000
- Files in TAR (including recursively in contained TARs): 14.2 million
- Index creation (first mounting): 4 hours
- Index size: 1GB
- Index loading (subsequent mounting): 80s
- Reading a 40kB file: 100ms (first time) and 4ms (subsequent times)
The reading time for a small file simply verifies the random access by using file seek to be working. The difference between the first read and subsequent reads is not because of ratarmount but because of operating system and file system caches.
Here is a more recent test for version 0.2.0 with the new default SQLite backend:
- TAR size: 124GB
- Contains TARs: yes
- Files in TAR: 1000
- Files in TAR (including recursively in contained TARs): 1.26 million
- Index creation (first mounting): 15m 39s
- Index size: 146MB
- Index loading (subsequent mounting): 0.000s
- Reading a 64kB file: ~4ms
- Running 'find mountPoint -type f | wc -l' (1.26M stat calls): 1m 50s
usage: ratarmount.py [-h] [-f] [-d DEBUG] [-c] [-r] [--recursion-depth RECURSION_DEPTH] [-l] [-s]
[--transform-recursive-mount-point REGEX_PATTERN REPLACEMENT]
[-gs GZIP_SEEK_POINT_SPACING] [-p PREFIX] [--password PASSWORD]
[--password-file PASSWORD_FILE] [-e ENCODING] [-i] [--gnu-incremental]
[--no-gnu-incremental] [--verify-mtime] [--index-file INDEX_FILE]
[--index-folders INDEX_FOLDERS] [-w WRITE_OVERLAY] [--commit-overlay]
[-o FUSE] [-u] [-P PARALLELIZATION] [-v]
mount_source [mount_source ...] [mount_point]
With ratarmount, you can:
- Mount a (compressed) TAR file to a folder for read-only access
- Mount a compressed file to `<mountpoint>/<filename>`
- Bind mount a folder to another folder for read-only access
- Union mount a list of TARs, compressed files, and folders to a mount point
for read-only access
Optional Arguments:
--password PASSWORD Specify a single password which shall be used for RAR and ZIP files.
(default: )
-P PARALLELIZATION, --parallelization PARALLELIZATION
If an integer other than 1 is specified, then the threaded parallel bzip2
decoder will be used specified amount of block decoder threads. Further
threads with lighter work may be started. A value of 0 will use all the
available cores (24). (default: 0)
-h, --help Show this help message and exit.
-r, --recursive Mount archives inside archives recursively. Same as --recursion-depth -1.
(default: False)
-u, --unmount Unmount the given mount point. Equivalent to calling "fusermount -u".
(default: False)
-v, --version Print version information and exit.
Positional Options:
mount_source The path to the TAR archive to be mounted. If multiple archives and/or
folders are specified, then they will be mounted as if the arguments
coming first were updated with the contents of the archives or folders
specified thereafter, i.e., the list of TARs and folders will be union
mounted.
mount_point The path to a folder to mount the TAR contents into. If no mount path is
specified, the TAR will be mounted to a folder of the same name but
without a file extension. (default: None)
Index Options:
--index-file INDEX_FILE
Specify a path to the .index.sqlite file. Setting this will disable
fallback index folders. If the given path is ":memory:", then the index
will not be written out to disk. (default: None)
--index-folders INDEX_FOLDERS
Specify one or multiple paths for storing .index.sqlite files. Paths will
be tested for suitability in the given order. An empty path will be
interpreted as the location in which the TAR resides. If the argument
begins with a bracket "[", then it will be interpreted as a JSON-formatted
list. If the argument contains a comma ",", it will be interpreted as a
comma-separated list of folders. Else, the whole string will be
interpreted as one folder path. Examples: --index-folders ",~/.foo" will
try to save besides the TAR and if that does not work, in ~/.foo. --index-
folders '["~/.ratarmount", "foo,9000"]' will never try to save besides the
TAR. --index-folder ~/.ratarmount will only test ~/.ratarmount as a
storage location and nothing else. Instead, it will first try
~/.ratarmount and the folder "foo,9000". (default: ,~/.ratarmount)
--verify-mtime By default, only the TAR file size is checked to match the one in the
found existing ratarmount index. If this option is specified, then also
check the modification timestamp. But beware that the mtime might change
during copying or downloading without the contents changing. So, this
check might cause false positives. (default: False)
-c, --recreate-index If specified, pre-existing .index files will be deleted and newly created.
(default: False)
Recursion Options:
--recursion-depth RECURSION_DEPTH
This option takes precedence over --recursive. Mount archives inside the
mounted archives recursively up to the given depth. A negative value
represents infinite depth. A value of 0 will turn off recursion (same as
not specifying --recursive in the first place). A value of 1 will
recursively mount all archives in the given archives but not any deeper.
Note that this only has an effect when creating an index. If an index
already exists, then this option will be effectively ignored. Recreate the
index if you want change the recursive mounting policy anyways. (default:
None)
--transform-recursive-mount-point REGEX_PATTERN REPLACEMENT
Specify a regex pattern and a replacement string, which will be applied
via Python's re module to the full path of the archive to be recursively
mounted. E.g., if there are recursive archives: /folder/archive.tar.gz,
you can substitute '[.][^/]+$' to '' and it will be mounted to
/folder/archive.tar. Or you can replace '^.*/([^/]+).tar.gz$' to '/' to
mount all recursive folders under the top-level without extensions.
(default: None)
-l, --lazy When used with recursively bind-mounted folders, TAR files inside the
mounted folder will only be mounted on first access to it. (default:
False)
-s, --strip-recursive-tar-extension
If true, then recursively mounted TARs named <file>.tar will be mounted at
<file>/. This might lead to folders of the same name being overwritten, so
use with care. The index needs to be (re)created to apply this option!
(default: False)
Tar Options:
--gnu-incremental Will strip octal modification time prefixes from file paths, which appear
in GNU incremental backups created with GNU tar with the --incremental or
--listed-incremental options. (default: None)
--no-gnu-incremental If specified, will never strip octal modification prefixes and will also
not do automatic detection. (default: True)
-e ENCODING, --encoding ENCODING
Specify an input encoding used for file names among others in the TAR.
This must be used when, e.g., trying to open a latin1 encoded TAR on an
UTF-8 system. Possible encodings:
https://docs.python.org/3/library/codecs.html#standard-encodings (default:
utf-8)
-i, --ignore-zeros Ignore zeroed blocks in archive. Normally, two consecutive 512-blocks
filled with zeroes mean EOF and ratarmount stops reading after
encountering them. This option instructs it to read further and is useful
when reading archives created with the -A option. (default: False)
Write Overlay Options:
--commit-overlay Apply deletions and content modifications done in the write overlay to the
archive. (default: False)
-w WRITE_OVERLAY, --write-overlay WRITE_OVERLAY
Specify an existing folder to be used as a write overlay. The folder
itself will be union-mounted on top such that files in this folder take
precedence over all other existing ones. Furthermore, all file creations
and modifications will be forwarded to files in this folder. Modifying a
file inside a TAR will copy that file to the overlay folder and apply the
modification to that writable copy. Deleting files or folders will update
the hidden metadata database inside the overlay folder. (default: None)
Advanced Options:
--password-file PASSWORD_FILE
Specify a file with newline separated passwords for RAR and ZIP files. The
passwords will be tried out in order of appearance in the file. (default:
)
-d DEBUG, --debug DEBUG
Sets the debugging level. Higher means more output. Currently, 3 is the
highest. (default: 1)
-f, --foreground Keeps the python program in foreground so it can print debug output when
the mounted path is accessed. (default: False)
-gs GZIP_SEEK_POINT_SPACING, --gzip-seek-point-spacing GZIP_SEEK_POINT_SPACING
This only is applied when the index is first created or recreated with the
-c option. The spacing given in MiB specifies the seek point distance in
the uncompressed data. A distance of 16MiB means that archives smaller
than 16MiB in uncompressed size will not benefit from faster seek times. A
seek point takes roughly 32kiB. So, smaller distances lead to more
responsive seeking but may explode the index size! (default: 16)
-o FUSE, --fuse FUSE Comma separated FUSE options. See "man mount.fuse" for help. Example:
--fuse "allow_other,entry_timeout=2.8,gid=0". (default: )
-p PREFIX, --prefix PREFIX
[deprecated] Use "-o modules=subdir,subdir=<prefix>" instead. This
standard way utilizes FUSE itself and will also work for other FUSE
applications. So, it is preferable even if a bit more verbose.The
specified path to the folder inside the TAR will be mounted to root. This
can be useful when the archive as created with absolute paths. E.g., for
an archive created with `tar -P cf /var/log/apt/history.log`, -p
/var/log/apt/ can be specified so that the mount target directory
>directly< contains history.log. (default: )
In order to reduce the mounting time, the created index for random access to files inside the tar will be saved to one of these locations. These locations are checked in order and the first, which works sufficiently, will be used. This is the default location order:
- .index.sqlite
- ~/.ratarmount/<path to tar: '/' -> '_'>.index.sqlite E.g., ~/.ratarmount/_media_cdrom_programm.tar.index.sqlite
This list of fallback folders can be overwritten using the --index-folders
option. Furthermore, an explicitly named index file may be specified using
the --index-file
option. If --index-file
is used, then the fallback
folders, including the default ones, will be ignored!
The mount sources can be TARs and/or folders. Because of that, ratarmount
can also be used to bind mount folders read-only to another path similar to
bindfs
and mount --bind
. So, for:
ratarmount folder mountpoint
all files in folder
will now be visible in mountpoint.
If multiple mount sources are specified, the sources on the right side will be added to or update existing files from a mount source left of it. For example:
ratarmount folder1 folder2 mountpoint
will make both, the files from folder1 and folder2, visible in mountpoint.
If a file exists in both multiple source, then the file from the rightmost
mount source will be used, which in the above example would be folder2
.
If you want to update / overwrite a folder with the contents of a given TAR, you can specify the folder both as a mount source and as the mount point:
ratarmount folder file.tar folder
The FUSE option -o nonempty will be automatically added if such a usage is detected. If you instead want to update a TAR with a folder, you only have to swap the two mount sources:
ratarmount file.tar folder folder
If a file exists multiple times in a TAR or in multiple mount sources, then the hidden versions can be accessed through special .versions folders. For example, consider:
ratarmount folder updated.tar mountpoint
and the file foo
exists both in the folder and as two different versions
in updated.tar
. Then, you can list all three versions using:
ls -la mountpoint/foo.versions/
dr-xr-xr-x 2 user group 0 Apr 25 21:41 .
dr-x------ 2 user group 10240 Apr 26 15:59 ..
-r-x------ 2 user group 123 Apr 25 21:41 1
-r-x------ 2 user group 256 Apr 25 21:53 2
-r-x------ 2 user group 1024 Apr 25 22:13 3
In this example, the oldest version has only 123 bytes while the newest and by default shown version has 1024 bytes. So, in order to look at the oldest version, you can simply do:
cat mountpoint/foo.versions/1
Note that these version numbers are the same as when used with tar's
--occurrence=N
option.
Use ratarmount -o modules=subdir,subdir=<prefix>
to remove path prefixes
using the FUSE subdir
module. Because it is a standard FUSE feature, the
-o ...
argument should also work for other FUSE applications.
When mounting an archive created with absolute paths, e.g.,
tar -P cf /var/log/apt/history.log
, you would see the whole var/log/apt
hierarchy under the mount point. To avoid that, specified prefixes can be
stripped from paths so that the mount target directory directly contains
history.log
. Use ratarmount -o modules=subdir,subdir=/var/log/apt/
to do
so. The specified path to the folder inside the TAR will be mounted to root,
i.e., the mount point.
If you want a compressed file not containing a TAR, e.g., foo.bz2
, then
you can also use ratarmount for that. The uncompressed view will then be
mounted to <mountpoint>/foo
and you will be able to leverage ratarmount's
seeking capabilities when opening that file.
In contrast to bzip2 and gzip compressed files, true seeking on xz and zst files is only possible at block or frame boundaries. This wouldn't be noteworthy, if both standard compressors for xz and zstd were not by default creating unsuited files. Even though both file formats do support multiple frames and xz even contains a frame table at the end for easy seeking, both compressors write only a single frame and/or block out, making this feature unusable. In order to generate truly seekable compressed files, you'll have to use pixz for xz files. For zstd compressed, you can try with t2sz. The standard zstd tool does not support setting smaller block sizes yet although an issue does exist. Alternatively, you can simply split the original file into parts, compress those parts, and then concatenate those parts together to get a suitable multiframe zst file. Here is a bash function, which can be used for that:
createMultiFrameZstd()
(
# Detect being piped into
if [ -t 0 ]; then
file=$1
frameSize=$2
if [[ ! -f "$file" ]]; then echo "Could not find file '$file'." 1>&2; return 1; fi
fileSize=$( stat -c %s -- "$file" )
else
if [ -t 1 ]; then echo 'You should pipe the output to somewhere!' 1>&2; return 1; fi
echo 'Will compress from stdin...' 1>&2
frameSize=$1
fi
if [[ ! $frameSize =~ ^[0-9]+$ ]]; then
echo "Frame size '$frameSize' is not a valid number." 1>&2
return 1
fi
# Create a temporary file. I avoid simply piping to zstd
# because it wouldn't store the uncompressed size.
if [[ -d /dev/shm ]]; then frameFile=$( mktemp --tmpdir=/dev/shm ); fi
if [[ -z $frameFile ]]; then frameFile=$( mktemp ); fi
if [[ -z $frameFile ]]; then
echo "Could not create a temporary file for the frames." 1>&2
return 1
fi
if [ -t 0 ]; then
true > "$file.zst"
for (( offset = 0; offset < fileSize; offset += frameSize )); do
dd if="$file" of="$frameFile" bs=$(( 1024*1024 )) \
iflag=skip_bytes,count_bytes skip="$offset" count="$frameSize" 2>/dev/null
zstd -c -q -- "$frameFile" >> "$file.zst"
done
else
while true; do
dd of="$frameFile" bs=$(( 1024*1024 )) \
iflag=count_bytes count="$frameSize" 2>/dev/null
# pipe is finished when reading it yields no further data
if [[ ! -s "$frameFile" ]]; then break; fi
zstd -c -q -- "$frameFile"
done
fi
'rm' -f -- "$frameFile"
)
In order to compress a file named foo
into a multiframe zst file called foo.zst
, which contains frames sized 4MiB of uncompressed ata, you would call it like this:
createMultiFrameZstd foo $(( 4*1024*1024 ))
It also works when being piped to. This can be useful for recompressing files to avoid having to decompress them first to disk.
lbzip2 -cd well-compressed-file.bz2 | createMultiFrameZstd $(( 4*1024*1024 )) > recompressed.zst
Ratarmount can also be used as a library. Using ratarmountcore, files inside archives can be accessed directly from Python code without requiring FUSE. For a more detailed description, see the ratarmountcore readme here.
If ratarmount helped you out and satisfied you so much that you can't help but want to donate, you can toss a coin to your programmer through one of these addresses:
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