Global Unique Ordered ID Generation in Distributed Systems
This article presents a high-availability global unique ordered ID generation solution, Cantor, which addresses the limitations of UUIDs and auto-increment IDs in distributed systems by combining time-based and node-specific sequences for scalability and performance.
This article discusses the design of a global unique ordered ID generation system for distributed environments, focusing on the Cantor project. It addresses challenges like ID uniqueness, ordering, and high availability through a modified Snowflake-like algorithm. The system uses a 64-bit structure with time, node ID, and sequence components to ensure scalability. High availability is achieved via HBase/Redis storage and client-side fallback mechanisms. Performance tests show 9500 requests/sec with 3 instances.
The solution supports both numeric and encoded string IDs, with applications in database indexing and UI display. Open-source availability on GitHub enables practical implementation.
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