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Code 2024-03-31
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lrzip-next - Long Range ZIP

LZMA SDK 23.01 (July 2023)

See FEATURES and WHATS-NEW files for list of lrzip-next enhancements.

(See original README for more historical info)

Download and Build

$ git clone https://github.com/pete4abw/lrzip-next\ or if you desire to also download the lrzip-fe front end\ $ git clone --recurse-submodules https://github.com/pete4abw/lrzip-next

If you forget use --recurse-submodules and want to download lrzip-fe separately, use these commands:

$ git clone https://github.com/pete4abw/lrzip-next
$ cd lrzip-next
$ git submodule update --init (to download lrzip-fe)

NEW! Tarballs will now compile from version 0.7.44 onward. gitdesc.sh has been made more intelligent! Recommend downloading from master, not from past tags/releases.

NEW! If you just want to try lrzip-next, download the static binaries. No compilation necessary. Get current x86_64 binaries in Releases.

Verify file with gnupg key 0xEB2C5812.

Build

cd lrzip-next
$ ./autogen.sh
$ ./configure [options] (see configure --help for all options)

If any required libraries or compilers are missing, configure will report and stop.

$ make [-j#] (for parallel make where # is typically number of processors)
$ make install (as root)

How it Works

lrzip-next applies a two-step process (optionally three-step process if filters are used) and reads file or STDIN input, passes it to the rzip pre-processor (and optional filter). The rzip pre-processor applies long-range redundancy reduction and then passes the streams of data to a back-end compressor. lrzip--next will, by default, test each stream with a compressibility test using lz4 prior to compression. The selected back-end compressor works on smaller data sets and ignore streams of data that may not compress well. The end result is significantly faster compression than standalone compressors and much faster decompression.

lrzip-next's compressors are: * lzma (default) * gzip * bzip2 * bzip3 * lzo * zpaq * zstd * rzip (pre-processed only)

lrzip-next's memory management scheme permits maximum use of system ram to pre-process files and then compress them.

Usage and Integration

See Discussions and Wiki for info.

Thanks

Con Kolivas - the creator of lrzip\ Others listed in original README file.

README Authors

For lrzip-next\ Peter Hyman (pete4abw on Guthub) pete@peterhyman.com\ Sun, 04 Jan 2009, README\ Mon, 28 Apr 2021: README.md

For lrzip\ Con Kolivas (ckolivas` on GitHub) kernel@kolivas.org\ Fri, 10 June 2016: README

Source: README.md, updated 2023-08-19