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Backpressure is strict by default. When a buffer is full, writes reject rather than silently accumulating. You can configure alternative policies — block until space is available, drop oldest, drop newest — but you have to choose explicitly. No more silent memory growth.

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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.。关于这个话题,搜狗输入法2026提供了深入分析

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