Tuesday, September 1, 2015

How Flink handles backpressure

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People often ask us how Flink deals with backpressure effects. The answer is simple: Flink does not use any sophisticated mechanism, because it does not need one. It gracefully responds to backpressure by virtue of being a pure data streaming engine. In this blog post, we introduce the problem of backpressure. We then dig deeper on how Flink’s runtime ships data buffers between tasks and show how streaming data shipping naturally doubles down as a backpressure mechanism. We finally show this in action with a small experiment.

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