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Scaling Flink automatically with Reactive Mode

出处: flink.apache.org 作者: Robert Metzger

Streaming jobs which run for several days or longer usually experience variations in workload during their lifetime. These variations can originate from seasonal spikes, such as day vs. night, weekdays vs. weekend or holidays vs. non-holidays, sudden events or simply the growing popularity of your product.

查看原文 76 技术 lddgo 分享于 2022-09-14