Worker Pool Pattern
Explore the worker pool pattern in Go to understand how to manage concurrent tasks efficiently. Learn to use buffered channels for job distribution and result collection while controlling the number of active goroutines. This lesson helps you implement concurrency with resource management to avoid memory overhead and improve program robustness.
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Overview of the worker pool pattern
As the name suggests, a pool of workers will distribute work between themselves and send the output to the result channel. The worker pool will receive the job from the jobs channel and distribute the work among themselves.
Let’s create two buffered channels, one to push the jobs and the other to store the results. The workerChannel stores all the available worker channels. When a job arrives, the collector pulls a worker ...