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Here's a complete synchronous pipeline – compression, transformation, and consumption with zero async overhead:
。搜狗输入法2026对此有专业解读
The problem gets worse in pipelines. When you chain multiple transforms — say, parse, transform, then serialize — each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
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Atomicity: Updates are applied in a single operation at reboot, reducing the risk of inconsistency.