百科.dev
全部条目AI 编程趋势榜开源项目技术资讯提交条目
登录
< 返回工具列表
P

pixz

> 编程语言
开源

并行、带索引的 xz 压缩器

789 stars0 点赞0 次浏览
访问官网GitHub

工具介绍

并行、带索引的 xz 压缩器

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 provide great compression in the .xz file format, but they produce just one big block of compressed data. Pixz instead produces a collection of smaller blocks which makes random access to the original data possible. This is especially useful for large tarballs.

Differences to xz

  • pixz automatically indexes tarballs during compression (unless the -t argument is used)
  • pixz supports parallel decompression, which xz does not
  • pixz defaults to using all available CPU cores, while xz defaults to using only one core
  • pixz provides -i and -o command line options to specify input and output file
  • pixz does not need the command line option -z (or --compress). Instead, it compresses by default, and decompresses if -d is passed.
  • pixz uses different logic to decide whether to use stdin/stdout. pixz somefile will always output to another file, while pixz with no filenames will always use stdin/stdout. There's no -c argument to explicitly request stdout.
  • Some other flags mean different things for pixz and xz, including -f, -l, -q and -t. Please read the manpages for more detail on these.

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
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

Issues· 36 开放

查看全部 Issues在 GitHub 打开

暂无开放 Issues,或尚未同步最近议题。

> 标签

Chacktoberfest

暂无评论,来聊聊你的看法吧

> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类编程语言
定价开源

> 相关工具

T
TypeScript
JavaScript 的超集,为前端与全栈提供静态类型
P
Python
通用编程语言,广泛用于 Web、数据与 AI
G
Go
Google 推出的简洁高效系统语言