Concurrency & Systems

Go Worker Pool Concurrency with Goroutines and Channels

Implement a concurrent worker pool pattern in Go using goroutines, buffered channels, and sync.WaitGroup to process tasks concurrently.

Go Source Code

Editable code sample with line numbers

Expected Output

When this program is compiled and executed, the terminal outputs:

Collecting worker results:
Job result received: 2
Job result received: 4
Job result received: 6
Job result received: 8
Job result received: 10
All tasks processed concurrently!

How the Code Works

Worker pools in Go coordinate multiple goroutines reading from a shared channel. 1. sync.WaitGroup tracks worker completion. 2. The jobs channel is closed once all tasks are dispatched. 3. When the jobs channel is drained, workers exit their loop and call wg.Done(). 4. A dedicated background goroutine calls wg.Wait() and closes the results channel, terminating the reader loop safely without deadlocks.

Time Complexity

O(N / Workers)

Space Complexity

O(Buffered Channel Capacity)

Key Takeaways & Best Practices

Channels provide synchronization without explicit mutex locking.
Always close sender channels to avoid worker deadlocks.
sync.WaitGroup guarantees all goroutines finish execution before exit.

Master Go with ZenCompiler

Practice in our high-performance cloud container IDE with multi-file support, interactive terminal STDIN, real-time memory visualizer, and structured lessons.