The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code — which would force async boundaries even when every component is synchronous.
除传统数据同步外,DataWorks 支持 AI 场景下的 Embedding 向量化数据入湖,可将大模型生成的向量特征直接写入 Iceberg/Paimon 表,为后续向量检索与推荐系统提供高质量输入。同时支持 Flink 实时流式入湖,实现从 T+1 到近实时的数据流转。
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18:04, 27 февраля 2026РоссияЭксклюзив
第二节 妨害公共安全的行为和处罚