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ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
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TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.，推荐阅读爱思助手下载最新版本获取更多信息
适用：数据均匀分布，如[0,1)之间的浮点数，推荐阅读51吃瓜获取更多信息
通过上述优化，DataWorks 实现了从源端到目标湖（Paimon/Iceberg/Hudi）的端到端性能提升。某客户案例显示，采用 DataWorks 实现 MySQL & Loghub 全增量实时同步至 Paimon 表后，资源消耗下降约 50%，运维成本显著降低，验证了其在大规模生产环境中的优越性。