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Apache Fory: Fast Multi-Language Serialization Framework (JIT & Zero-Copy)
Apache Fory is a blazingly fast multi-language serialization framework leveraging JIT compilation and zero-copy techniques for unparalleled performance in data exchange and storage.
Java
Added on 2025年6月6日3,302
Stars279
ForksJava
LanguageProject Introduction
Summary
Apache Fory is an open-source serialization framework designed for high-performance data exchange. It employs cutting-edge technologies like Just-In-Time compilation and zero-copy data handling to provide superior speed and efficiency compared to conventional methods, supporting various programming languages.
Problem Solved
Traditional serialization frameworks often suffer from performance bottlenecks, high memory usage, and limited language interoperability. Apache Fory addresses these issues by providing a highly optimized, multi-language solution for efficient data handling.
Core Features
Blazing Fast Performance
Achieve extremely high throughput and low latency serialization/deserialization through advanced optimization techniques including JIT.
Multi-Language Support
Supports a wide range of programming languages, allowing seamless data exchange across heterogeneous systems.
Zero-Copy Design
Minimizes memory copying during serialization and deserialization processes, reducing overhead and improving efficiency.
Tech Stack
C++ (Core Engine)
Java (Potential JIT aspects/bindings)
Language Specific Bindings (Python, Go, Rust, etc.)
Build System (e.g., CMake)
使用场景
Apache Fory's high performance and multi-language support make it suitable for a variety of demanding use cases:
High-Performance RPC and Inter-Process Communication
Details
Building high-throughput Remote Procedure Call (RPC) systems where serialization/deserialization is a major performance bottleneck.
User Value
Significantly reduce latency and increase throughput of communication layers.
Efficient Data Storage Formats
Details
Creating efficient data formats for storing large volumes of structured or semi-structured data with fast read/write speeds.
User Value
Improve database performance and reduce storage costs.
Fast Message Queuing and Event Streaming
Details
Implementing fast message queuing systems where messages need to be rapidly serialized and deserialized between producer and consumer services written in different languages.
User Value
Enable real-time data processing and event-driven architectures.
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