safelz4 0.0.2

safe LZ4 data compress library.

Python bindings for lz4_flex, the fastest pure-Rust implementation of the LZ4 compression algorithm.

Installation

Pip

You can install safelz4 via the pip manager:

pip install safelz4

From source

For the sources, you need Rust

# Install Rust
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
# Make sure it's up to date and using stable channel
rustup update
git clone https://github.com/LVivona/safelz4.git
cd safelz4
pip install setuptools_rust
pip install maturin
# install
pip install -e .

Getting Started

Block Format

The block format is suitable only for smaller chunks of data, as each block must be fully compressed or decompressed in memory. For larger data sequences, the frame format should be used instead, as it supports streaming and includes metadata for better handling of large-byte sequences. specs

import os
import sys
from typing import Union, Generator
from safelz4.block import compress_prepend_size, decompress_size_prepended

def chunk_blocks(filename : Union[os.PathLike, str], chunk_size : int = 1048576) -> Generator[bytes, None, None]:
    """compress read bytes into chunks blocks"""
    with open(filename, "rb") as f:
        while content := f.read(chunk_size):
            buffer = compress_prepend_size(content)
            yield buffer

# 1 Mb chunck
blocks = chunk_blocks("dickens.txt")

for block in blocks:
    output = decompress_size_prepended(buffer)
    sys.stdout.write(output.decode("utf-8"))

Frame Format

Frames are containers that encapsulate a set of compressed blocks. Information about the blocks is stored both in the frame header and within the blocks themselves. Read more within the specs

import safelz4

buffer = None
with open("dickens.txt", "rb") as file:
    buffer = file.read(-1)
    safelz4.compress_into_file("dickens.lz4", buffer)


with safelz4.open("dickens.lz4", "rb") as f:
   while content := f.read(100):
      print(content.decode("utf-8"))

Bechmarks

Benchmark results are available in the benches folder. We evaluated performance in two key scenarios:

Full byte availability, where the entire buffer is accessible during compression and decompression.

Streamed access, using reader and writer interfaces with chunked input.

Summary

In full buffer scenarios, lz4 generally performs well and occasionally outpaces safelz4, especially on larger files. However, safelz4 still remained competitive, with close times.

In reader/writer scenarios (chunked input, 1024 bytes), safelz4 significantly outperforms lz4, consistently achieving more than 2x speed improvement in both compression and decompression.

Streamed access (chunk 1024 bytes)

open Benchmark	safelz4	lz4
ctx_compression_writer_compression_1k.txt	8.84 us	22.5 us: 2.54x slower
ctx_compression_writer_compression_34k.txt	9.07 us	22.6 us: 2.49x slower
ctx_compression_writer_compression_65k.txt	9.18 us	23.0 us: 2.50x slower
ctx_compression_writer_compression_66k_JSON.txt	9.18 us	23.1 us: 2.51x slower
ctx_compression_writer_dickens.txt	9.16 us	23.9 us: 2.61x slower
ctx_compression_writer_hdfs.json	9.21 us	22.9 us: 2.49x slower
ctx_compression_writer_reymont.pdf	9.26 us	22.9 us: 2.48x slower
ctx_compression_writer_xml_collection.xml	9.27 us	23.1 us: 2.49x slower
Geometric mean	(ref)	2.51x slower

open Benchmark	safelz4	lz4
ctx_decompression_writer_compression_1k.txt	11.0 us	17.6 us: 1.59x slower
ctx_decompression_writer_compression_34k.txt	23.8 us	46.2 us: 1.94x slower
ctx_decompression_writer_compression_65k.txt	34.6 us	68.6 us: 1.98x slower
ctx_decompression_writer_compression_66k_JSON.txt	27.1 us	61.9 us: 2.28x slower
ctx_decompression_writer_dickens.txt	4.11 ms	8.67 ms: 2.11x slower
ctx_decompression_writer_hdfs.json	1.77 ms	4.39 ms: 2.48x slower
ctx_decompression_writer_reymont.pdf	2.92 ms	5.74 ms: 1.97x slower
ctx_decompression_writer_xml_collection.xml	1.99 ms	3.97 ms: 2.00x slower
Geometric mean	(ref)	2.03x slower

Full byte availability Run(s)

frame.compress Benchmark	safelz4	lz4
compression_compression_1k.txt	829 ns	839 ns: 1.01x slower
compression_compression_34k.txt	26.3 us	32.5 us: 1.23x slower
compression_compression_65k.txt	49.9 us	60.1 us: 1.20x slower
compression_compression_66k_JSON.txt	26.5 us	24.7 us: 1.07x faster
compression_dickens.txt	17.0 ms	15.9 ms: 1.07x faster
compression_hdfs.json	3.16 ms	2.63 ms: 1.20x faster
compression_reymont.pdf	12.3 ms	11.4 ms: 1.08x faster
compression_xml_collection.xml	4.58 ms	4.12 ms: 1.11x faster
Geometric mean	(ref)	1.01x faster

frame.decompress Benchmark	safelz4	lz4
decompress_compression_1k.txt	612 ns	416 ns: 1.47x faster
decompress_compression_34k.txt	8.96 us	10.0 us: 1.12x slower
decompress_compression_65k.txt	15.4 us	17.1 us: 1.11x slower
decompress_compression_66k_JSON.txt	9.45 us	8.04 us: 1.18x faster
decompress_dickens.txt	4.00 ms	2.13 ms: 1.88x faster
decompress_hdfs.json	1.50 ms	1.03 ms: 1.45x faster
decompress_reymont.pdf	2.42 ms	1.99 ms: 1.21x faster
decompress_xml_collection.xml	1.68 ms	1.19 ms: 1.41x faster
Geometric mean	(ref)	1.26x faster

NOTE: All benchmarks were performed using python package pypref, on a system equipped with an Apple M4 Max processor and 36GB of unified memory.

Acknowledgement

This project acknowledges the outstanding work of Yann Collet.

Special thanks also to the maintainers of the lz4_flex Rust crate for providing a safe, pure-Rust implementation of LZ4 compression and decompression.

Other Implementation

LZ4 implementations, including:

Python Library	Build Status	Version	Licence
python-lz4

Licence

MIT License