Go Concurrency Series: Concurrency Patterns(II)
In our last post, we talked about the Worker Pool and Pipeline concurrency patterns, that we can use while designing concurrent applications in Golang. In this article, let’s continue and look at some more concurrency patterns in Golang.
Fan In Pattern
Fan-In is the process of combining multiple results from parallel tasks into a single stream or result. This can be visualized as collecting outputs from various workers and assembling them into a final product. Think of it like what “Reduce” does in Map-Reduce, where it collects data from different workers and aggregates them.
Fan Out Pattern
Fan-Out pattern involves dividing a task into multiple smaller, parallel tasks to be executed concurrently. It’s akin to distributing parts of a task across multiple workers in an assembly line, where each worker focuses on a specific part of the job, enhancing overall efficiency and speed.
The above are sample implementations and fan-in fan-out patterns are generally used in conjunction with worker pool and even pipeline patterns.
