Baidu CangHai Storage: A Unified Technology Foundation for the AI Era
By [Your Name], Senior Journalist and Editor
The rapid advancement of the AI erahas placed unprecedented demands on storage technology, particularly in terms of scalability, performance, and cost-effectiveness. To address these challenges, Baidu CangHai Storage has developed ahighly reusable unified technology foundation. This foundation tackles common issues in cloud storage, enabling more efficient iteration of upper-layer storage systems.
A Unified Technology Foundation: Building Blocks for Cloud Storage
The unified technology foundation consists of three core components:
- Unified Metadata Foundation: This foundation is a distributed transactional K-V storage system specifically designed for metadata scenarios. Based on the Meta-Awaredesign philosophy, it boasts a capacity of trillions of metadata entries. It underpins the metadata storage of object storage (BOS) and file storage (CFS/AFS).
- Unified Hierarchical Namespace: Built upon the unified metadata foundation, thehierarchical namespace has evolved into a single-machine distributed integrated architecture, offering high performance and excellent scalability.
- Unified Data Foundation: This online erasure coding (EC) storage system aims to provide high-throughput and cost-effective unified data storage services. It employs a microservice architecture with no logical single points of failureand supports data scales at the ZB level.
These three core components collectively form the unified technology foundation of Baidu CangHai, supporting various upper-layer storage products, including object storage (BOS), block storage (CDS), and file storage (CFS/AFS). The latest third-generation unified technology foundation has enabledthe large-scale application of the Baidu CangHai Storage Data Lake Acceleration Solution 2.0.
Evolution of the Unified Metadata Foundation
The evolution of the Baidu CangHai Storage metadata foundation can be traced back through three generations:
- First Generation: In its initial stage, metadata storage was distributed across multiplesystems, including object storage, relying on both MySQL and a distributed K-V key-value system. This multi-system approach, while meeting the needs at the time, incurred high operational costs. More importantly, MySQL’s inability to scale linearly hindered its ability to handle rapidly growing data demands.
- Second Generation:Emerging in 2017, the second generation was inspired by the HopsFS paper, which demonstrated the potential of distributed transactional databases to address the scalability issues of object and file metadata storage. This led to the development of the self-developed general-purpose NewSQL project. After two years of intensive effort, thesecond generation of the unified metadata foundation was successfully launched.
Third Generation: Embracing New Technologies
The third generation of the unified metadata foundation marks a significant leap forward. It incorporates cutting-edge technologies, including:
- Meta-Aware Design: This design philosophy prioritizes metadata efficiency and performance, enabling thestorage of trillions of metadata entries.
- Distributed Transactional K-V Storage: This technology ensures data consistency and reliability, even in complex distributed environments.
- Single-Machine Distributed Integrated Architecture: This architecture enhances performance and scalability, allowing for seamless expansion as data volumes grow.
Conclusion: AFoundation for the Future of Storage
The unified technology foundation of Baidu CangHai Storage represents a significant advancement in cloud storage solutions. By addressing the challenges of scalability, performance, and cost-effectiveness, it empowers the development of innovative AI applications. As the AI era continues to evolve, Baidu CangHai Storage’s unified technologyfoundation will play a crucial role in shaping the future of data storage.
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