Not all streaming workloads involve I/O. When your source is in-memory and your transforms are pure functions, async machinery adds overhead without benefit — you're paying for coordination of "waiting" that adds no benefit.
// 倒序遍历：从最后一天开始缓存右侧高温信息（易错点1：必须倒序）
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This overhead is mandated by the spec's reliance on promises for buffer management, completion, and backpressure signals. While some of it is implementation-specific, much of it is unavoidable if you're following the spec as written. For high-frequency streaming – video frames, network packets, real-time data – this overhead is significant.
类似的教训还有泰山石化创始人蔡天真。他试图将游艇纳入“大海洋战略”，在建设修造船基地的同时切入高端游艇制造与码头运营。但当企业陷入债务危机后，高杠杆跨界迅速失速，原本宏大的全产业链构想最终难以为继。
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