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.
36氪获悉，2月27日，DHL集团与京东宣布签署谅解备忘录，双方将在创新物流与电商领域展开深度合作，为德国品牌进入中国市场及拓展欧洲业务提供一站式解决方案。根据协议，DHL将向京东推荐德国优质品牌，德国企业通过京东国际，无需在中国设立实体公司即可直接触达中国消费者。
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The problem is compounded by APIs that implicitly create stream branches. Request.clone() and Response.clone() perform implicit tee() operations on the body stream — a detail that's easy to miss. Code that clones a request for logging or retry logic may unknowingly create branched streams that need independent consumption, multiplying the resource management burden.
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