● Covered by 1 source · 1 reportLow impact1 neutral
bzip3 Released as a Successor to BZip2, Offering Higher Compression and Performance
Key points
- bzip3 is a new compression utility.
- It offers higher compression ratios than BZip2.
- It uses advanced algorithms for better performance.
- Installation is available via source or Homebrew.
Introduction of bzip3
bzip3 has been released as a new compression tool, positioned as a successor to BZip2. The utility is designed to provide improved compression ratios and faster performance compared to its predecessor.
Technical Enhancements
The improved performance and compression in bzip3 are attributed to several technical advancements. These include an order-0 context mixing entropy coder, a fast Burrows-Wheeler transform code utilizing suffix arrays, and a Run-Length Encoding (RLE) with Lempel Ziv+Prediction pass based on LZ77-style string matching and PPM-style context modeling. These features contribute to its effectiveness, particularly with text and code data.
Installation Methods
Users can install bzip3 from source by cloning the repository and running standard build commands: `./bootstrap.sh`, `./configure`, `make`, and `sudo make install`. For macOS users, installation is also available through the Homebrew package manager using the command `brew install bzip3`.
Performance Benchmarks
Preliminary benchmarks were conducted by compressing a large archive of Perl5 source code. In one test, bzip3 compressed a 14.6GB `all.tar` file in 7 minutes and 10 seconds, using 18301MB of memory, compared to bzip2's 17 minutes and 16 seconds with 8MB memory. Further tests involved combining bzip3 with `lrzip` for long-range deduplication, showing a compression time of 22.411 seconds for a `all_none.tar.lrz` file.
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Primary sources
GitHub cmc_internal/api GitHub github/collect GitHub iczelia/bzip3 GitHub _private/browser GitHub get-started/accessibility GitHub open-source/sponsorsReporting from
bzip3 has been released as a new compression utility, building on BZip2 with improved compression ratios and performance. It incorporates advanced techniques like an order-0 context mixing entropy coder and a fast Burrows-Wheeler transform, making it suitable for text and code compression.