Efficient concurrency in Go requires a structured approach like a worker pool. Goroutines serve as lightweight threads, enabling concurrent execution of tasks while minimizing complexity. However, excessive goroutine spawning may lead to performance bottlenecks. Worker pools manage goroutine usage by limiting the number of concurrent operations, akin to using a team of friends to carry boxes without overwhelming a single door. The concept also emphasizes communication through channels for safe data sharing, adhering to the principle of sharing memory by communicating instead of direct memory sharing.
Goroutines are lightweight threads that can run concurrently, allowing for multiple tasks to be performed simultaneously without the overhead of traditional threads.
A worker pool is a technique to control the number of goroutines running at the same time, preventing performance issues associated with too much concurrency.
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