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This is fundamentally different from Web streams' pipeThrough(), which starts actively pumping data from the source to the transform as soon as you set up the pipe. Pull semantics mean you control when processing happens, and stopping iteration stops processing.

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Stream implementations can and do ignore backpressure; and some spec-defined features explicitly break backpressure. tee(), for instance, creates two branches from a single stream. If one branch reads faster than the other, data accumulates in an internal buffer with no limit. A fast consumer can cause unbounded memory growth while the slow consumer catches up, and there's no way to configure this or opt out beyond canceling the slower branch.

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trigger certain actions in one app based on events in another app.