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Christian Krause 9 years ago
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Pixz (pronounced 'pixie') is a parallel, indexing version of XZ
Repository: https://github.com/vasi/pixz
Downloads: https://sourceforge.net/projects/pixz/files/
The existing XZ Utils ( http://tukaani.org/xz/ ) provide great compression in the .xz file format, but they have two significant problems:
* They are single-threaded, while most users nowadays have multi-core computers.
* The .xz files they produce are just one big block of compressed data, rather than a collection of smaller blocks. This makes random access to the original data impossible.
With pixz, both these problems are solved. The most useful commands:
$ pixz foo.tar foo.tpxz # Compress and index a tarball, multi-core
$ pixz -l foo.tpxz # Very quickly list the contents of the compressed tarball
$ pixz -d foo.tpxz foo.tar # Decompress it, multi-core
$ pixz -x dir/file < foo.tpxz | tar x # Very quickly extract a file, multi-core.
# Also verifies that contents match index.
$ tar -Ipixz -cf foo.tpxz foo # Create a tarball using pixz for multi-core compression
$ pixz bar bar.xz # Compress a non-tarball, multi-core
$ pixz -d bar.xz bar # Decompress it, multi-core
Specifying input and output:
$ pixz < foo.tar > foo.tpxz # Same as 'pixz foo.tar foo.tpxz'
$ pixz -i foo.tar -o foo.tpxz # Ditto. These both work for -x, -d and -l too, eg:
$ pixz -x -i foo.tpxz -o foo.tar file1 file2 ... # Extract the files from foo.tpxz into foo.tar
$ pixz foo.tar # Compress it to foo.tpxz, removing the original
$ pixz -d foo.tpxz # Extract it to foo.tar, removing the original
Other flags:
$ pixz -1 foo.tar # Faster, worse compression
$ pixz -9 foo.tar # Better, slower compression
$ pixz -p 2 foo.tar # Cap the number of threads at 2
$ pixz -t foo.tar # Compress but don't treat it as a tarball (don't index it)
$ pixz -d -t foo.tpxz # Decompress foo, don't check that contents match index
$ pixz -l -t foo.tpxz # List the xz blocks instead of files
For even more tuning flags, check the manual page.
Compare to:
plzip
* About equally complex, efficient
* lzip format seems less-used
* Version 1 is theoretically indexable...I think
ChopZip
* Python, much simpler
* More flexible, supports arbitrary compression programs
* Uses streams instead of blocks, not indexable
* Splits input and then combines output, much higher disk usage
pxz
* Simpler code
* Uses OpenMP instead of pthreads
* Uses streams instead of blocks, not indexable
* Uses temp files and doesn't combine them until the whole file is compressed, high disk/memory usage
Comparable tools for other compression algorithms:
pbzip2
* Not indexable
* Appears slow
* bzip2 algorithm is non-ideal
pigz
* Not indexable
dictzip, idzip
* Not parallel
Requirements:
* libarchive 2.8 or later
* liblzma 4.999.9-beta-212 or later (from the xz distribution)

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pixz
====
Pixz (pronounced *pixie*) is a parallel, indexing version of `xz`.
Repository: https://github.com/vasi/pixz
Downloads: https://github.com/vasi/pixz/releases
pixz vs xz
----------
The existing [XZ Utils](http://tukaani.org/xz/) provide great compression in the `.xz` file format,
but they have two significant problems:
- they are single-threaded, while most users nowadays have multi-core computers
- the `.xz` files they produce are just one big block of compressed data, rather than a collection
of smaller blocks which makes random access to the original data impossible
With pixz, both these problems are solved.
Building pixz
-------------
General help about the building process's configuration step can be acquired via:
```
./configure --help
```
### Dependencies
- pthreads
- liblzma 4.999.9-beta-212 or later (from the xz distribution)
- libarchive 2.8 or later
- AsciiDoc to generate the man page
### Build from Release Tarball
```
./configure
make
make install
```
You many need `sudo` permissions to run `make install`.
### Build from GitHub
```
git clone https://github.com/vasi/pixz.git
cd pixz
./autogen.sh
./configure
make
make install
```
You many need `sudo` permissions to run `make install`.
Usage
-----
### Single Files
Compress a single file (no tarball, just compression), multi-core:
pixz bar bar.xz
Decompress it, multi-core:
pixz -d bar.xz bar
### Tarballs
Compress and index a tarball, multi-core:
pixz foo.tar foo.tpxz
Very quickly list the contents of the compressed tarball:
pixz -l foo.tpxz
Decompress the tarball, multi-core:
pixz -d foo.tpxz foo.tar
Very quickly extract a single file, multi-core, also verifies that contents match index:
pixz -x dir/file < foo.tpxz | tar x
Create a tarball using pixz for multi-core compression:
tar -Ipixz -cf foo.tpxz foo/
### Specifying Input and Output
These are the same (also work for `-x`, `-d` and `-l` as well):
pixz foo.tar foo.tpxz
pixz < foo.tar > foo.tpxz
pixz -i foo.tar -o foo.tpxz
Extract the files from `foo.tpxz` into `foo.tar`:
pixz -x -i foo.tpxz -o foo.tar file1 file2 ...
Compress to `foo.tpxz`, removing the original:
pixz foo.tar
Extract to `foo.tar`, removing the original:
pixz -d foo.tpxz
### Other Flags
Faster, worse compression:
pixz -1 foo.tar
Better, slower compression:
pixz -9 foo.tar
Use exactly 2 threads:
pixz -p 2 foo.tar
Compress, but do not treat it as a tarball, i.e. do not index it:
pixz -t foo.tar
Decompress, but do not check that contents match index:
pixz -d -t foo.tpxz
List the xz blocks instead of files:
pixz -l -t foo.tpxz
For even more tuning flags, check the manual page:
man pixz
Comparison to other Tools
-------------------------
### plzip
- about equally complex and efficient
- lzip format seems less-used
- version 1 is theoretically indexable, I think
### ChopZip
- written in Python, much simpler
- more flexible, supports arbitrary compression programs
- uses streams instead of blocks, not indexable
- splits input and then combines output, much higher disk usage
### pxz
- simpler code
- uses OpenMP instead of pthreads
- uses streams instead of blocks, not indexable
- uses temporary files and does not combine them until the whole file is compressed, high disk and
memory usage
### pbzip2
- not indexable
- appears slow
- bzip2 algorithm is non-ideal
### pigz
- not indexable
### dictzip, idzip
- not parallel
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