Wrapping Up
When it comes to data-processing operations like map, filter, and reduce, there is no easier way to take advantage of GenStage than using Flow. At the same time, ease-of-use does not come at the expense of versatility. Most functions give you the option to configure the level of concurrency, events demand, and much more.
You may be tempted to replace all Enum and Stream module usage in your code with Flow. This is not a good idea. You get the best results from Flow only when you use it with large data sets or to perform hardware-intensive work. As you know, under the hood, Flow creates and manages a number of stage processes. While processes are lightweight, they are still an overhead when dealing with small tasks, which can be processed ...
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