Feature Production Scheduling: Architecture Evolution and Core Technologies

Using Meituan‑Dianping’s hospitality online feature system as a case study, the article describes how feature production scheduling evolved from offline batch ETL to automated, metadata‑driven pipelines and sub‑second streaming, detailing the underlying architecture, incremental updates, storage abstraction, write‑shaving, atomicity, and recovery mechanisms.

Big DataReal-time ProcessingSystem Architecture

0 likes · 23 min read

Feature Production Scheduling: Architecture Evolution and Core Technologies

Meituan Technology Team

Jul 6, 2017 · Backend Development

Online Feature System: Architecture, Storage, and High‑Concurrency Techniques

Using Meituan’s hotel‑travel platform as a case study, the article details a scalable online feature system architecture that combines layered storage, efficient compression, and robust synchronization to meet extreme concurrency, throughput, terabyte‑scale data, and sub‑10 ms latency demands for AI‑driven strategy services.

Big Datadata compressiondistributed storage

0 likes · 23 min read

Online Feature System: Architecture, Storage, and High‑Concurrency Techniques