Glossary Term
bzip2
Introduction and Overview
- bzip2 is a free and open-source file compression program
- It uses the Burrows-Wheeler algorithm
- It compresses single files, not a file archiver
- Relies on external utilities for tasks like handling multiple files, encryption, and archive-splitting
- Initial release by Julian Seward in 1996
Compression Techniques
- Uses several layers of compression techniques including run-length encoding (RLE), Burrows-Wheeler transform (BWT), move-to-front transform (MTF), and Huffman coding
- Compresses data in blocks between 100 and 900 kB
- Converts frequently recurring character sequences into strings of identical letters
- Compression performance is asymmetric, with decompression being faster than compression
Maintainers and Modifications
- Multiple maintainers since the initial release
- Micah Snyder is the current maintainer since June 2021
- Modifications like pbzip2 for multi-threading to improve compression speed
- Suitable for big data applications with cluster computing frameworks like Hadoop and Apache Spark
- Compressed blocks can be independently decompressed
History and Implementation
- First public release by Julian Seward in July 1996
- Version 1.0 released in late 2000
- Federico Mena accepted maintainership in June 2019 after a nine-year hiatus
- Micah Snyder became the maintainer in June 2021
- Ongoing expansion and development of the project
- Uses a specific order of compression techniques during compression and reverse order during decompression
- Techniques include RLE, BWT, MTF, and Huffman coding
- Replaces sequences of consecutive duplicate symbols with a repeat length
- Burrows-Wheeler transform is at the core of bzip2
- Move-to-front transform and RLE steps optimize compression for natural data patterns
File Format, Efficiency, and Limitations
- No formal specification for bzip2 exists
- A .bz2 stream consists of a 4-byte header, compressed blocks, and an end-of-stream marker with a 32-bit CRC
- Compressed blocks are bit-aligned and no padding occurs
- bzip2 compresses most files more effectively than LZW and Deflate compression algorithms
- LZMA is generally more space-efficient than bzip2, but with slower compression speed
- Huffman coding is used with carefully selected codes
- Bitmap usage to show which symbols are used inside the block
- Limitations include a maximum length of plaintext in a single 900kB bzip2 block and the inability to store multiple files in a single compressed file