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LZ4 - Extremely Fast Lossless Compression Algorithm
LZ4 is a fast lossless compression algorithm, providing compression and decompression speed close to the theoretical limits of a byte-match encoder. It's ideal for scenarios where speed is paramount.
C
Added on 2025年7月5日11,047
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LanguageProject Introduction
Summary
LZ4 is a high-performance lossless data compression algorithm and library written in C. It is designed for maximum speed, making it a prime choice for real-time compression scenarios, such as database acceleration, network packet compression, and embedded systems.
Problem Solved
Traditional compression algorithms often introduce significant latency due to their computational cost. LZ4 addresses this by offering extremely fast compression and decompression, enabling high-throughput data processing in performance-sensitive applications.
Core Features
Extreme Speed
Compresses and decompresses data at speeds close to RAM limits on multi-core processors.
Lossless Compression
Guarantees exact recovery of original data without any loss.
Reasonable Compression Ratio
Provides good compression ratios, typically comparable to LZO or LZW but significantly faster.
Tech Stack
C
Assembly
C++ Bindings
Python Bindings
Java Bindings
Use Cases
Due to its outstanding speed, LZ4 is utilized in various high-performance computing environments and applications:
Database and Storage Systems
Details
Compressing database blocks, logs, or backups to save storage space and improve I/O throughput with minimal CPU cost during reads.
User Value
Reduced storage requirements and faster data access/backup times.
Network Communication
Details
Compressing data streams or packets before transmission over a network to reduce bandwidth usage and latency.
User Value
Lower network costs and improved responsiveness in distributed systems.
Operating System Features
Details
Used within the Linux kernel and other operating systems for file system compression, memory compression (zswap, zram), and inter-process communication.
User Value
Improved system responsiveness, efficient memory usage, and faster system operations.
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