High-Performance Feeds Flow System Architecture for Tencent Channel
The article describes Tencent Channel’s high‑performance Feeds flow system, built on a three‑layer logical‑proxy‑storage architecture that separates reads and writes, uses distributed caches and timestamp‑based pruning to cut query load fifty‑fold, and combines public indexes with user‑specific reads to enforce visibility controls.
This article details the design of a high-performance Feeds flow system for Tencent Channel, addressing challenges in managing large-scale social networks. It emphasizes a three-layer architecture (logical, proxy, storage) and strategies for read/write separation, read expansion optimization, and visibility control.
The system employs a three-layer design: logical layer for data assembly, proxy layer for unified interfaces, and storage layer for content indexing. Read/write separation ensures scalability, with read operations handled by distributed caches and write operations centralized.
Key optimizations include read expansion pruning through caching of recent timestamps and cookie-based state management. This reduces query load by 50x compared to naive approaches. Visibility issues (e.g., moderated content) are resolved by combining public indexes with user-specific reads.
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