There's also Stream.broadcast() for push-based multi-consumer scenarios. Both require you to think about what happens when consumers run at different speeds, because that's a real concern that shouldn't be hidden.
This step rapidly finds the optimal sequence of border points and shortcuts to get from your start cluster's periphery to your target cluster's periphery. It's incredibly fast because it's ignoring all the tiny roads within intermediate clusters.
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随着2025年四季度外卖平台补贴力度收紧，行业逐渐向理性竞争回归，瑞幸也在主动调整策略以缓解盈利压力。事实上，瑞幸早在2024年就开始收紧9.9元低价活动覆盖范围，2025年进一步限制于少量基础款，多数产品回升至10.9-13.9元区间，通过优化定价策略平衡营收增长与盈利水平。这种调整背后，是瑞幸对“规模+盈利”双重目标的追求，也是行业从价格战向价值竞争转型的缩影。
Like all such hypoxia-addled-brain thoughts, it was a successful tweet.
Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.