How is a user supposed to understand that they are potentially blowing away photos of deceased relatives, an encrypted property deed, or their digital currency?
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.
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在2025全年及第四季度，瑞幸的配送费用更是高达68.787亿元、16.309亿元，较2024年同期的28.211亿元、8.387亿元分别上涨143.8%、94.5%。
在 AI 场景中，Apache Spark 凭借其强大的批处理能力与 Python 生态兼容性，广泛用于大模型训练前的数据清洗、特征工程与推理任务。而 Ray 因其低延迟、高并发特性，被 OpenAI 等头部机构用于分布式训练与强化学习。两者共同构成 Data + AI 的核心计算底座，支持从数据准备到模型推理的全流程高效执行。