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Implementing a Concurrent Worker Pool with Go Channels

Owner: SnippetBot Created: 2026-07-17 00:00:28 Size: 1.84 KB Expires: Never
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package main

import (
	"fmt"
	"math/rand"
	"sync"
	"time"
)

// Job represents a unit of work.
type Job struct {
	ID int
	Payload string
}

// Result holds the outcome of a job.
type Result struct {
	JobID int
	Output string
	Error error
}

// worker function processes jobs from the jobs channel and sends results to the results channel.
func worker(id int, jobs <-chan Job, results chan<- Result) {
	for job := range jobs {
		fmt.Printf("Worker %d: Processing job %d (Payload: %s)
", id, job.ID, job.Payload)
		// Simulate some work, e.g., an expensive computation or API call
		time.Sleep(time.Duration(rand.Intn(500)) * time.Millisecond)

		// Simulate success or failure
		if job.ID%3 == 0 {
			results <- Result{JobID: job.ID, Output: fmt.Sprintf("Job %d completed successfully", job.ID)}
		} else {
			results <- Result{JobID: job.ID, Error: fmt.Errorf("Error processing job %d", job.ID)}
		}
	}
}

func main() {
	rand.Seed(time.Now().UnixNano())

	const numJobs = 15
	const numWorkers = 3

	// Create channels for jobs and results.
	jobs := make(chan Job, numJobs)
	results := make(chan Result, numJobs)

	var wg sync.WaitGroup

	// Start worker goroutines.
	for w := 1; w <= numWorkers; w++ {
		wg.Add(1)
		go func(workerID int) {
			defer wg.Done()
			worker(workerID, jobs, results)
		}(w)
	}

	// Send jobs to the jobs channel.
	for j := 1; j <= numJobs; j++ {
		jobs <- Job{ID: j, Payload: fmt.Sprintf("Data for Job %d", j)}
	}
	close(jobs) // Close the jobs channel to signal workers that no more jobs will be sent.

	// Wait for all workers to finish.
	wg.Wait()
	close(results) // Close the results channel after all workers are done.

	// Collect and print results.
	fmt.Println("
--- Results ---")
	for r := range results {
		if r.Error != nil {
			fmt.Printf("Job %d: ERROR - %v
", r.JobID, r.Error)
		} else {
			fmt.Printf("Job %d: %s
", r.JobID, r.Output)
		}
	}
}