What is the worker pool pattern in Go?

Can you explain the worker pool pattern in Go?

Sure! The worker pool pattern is a concurrency design pattern that allows you to manage a pool of workers to handle tasks concurrently.

How does it improve performance?

It improves performance by reusing a fixed number of worker goroutines to process tasks, reducing the overhead of creating and destroying goroutines.

Can you provide a simple code example?

Absolutely! Here's a basic example:

package main

import (
    "fmt"
    "sync"
)

func worker(id int, jobs <-chan int, wg *sync.WaitGroup) {
    defer wg.Done()
    for j := range jobs {
        fmt.Printf("Worker %d processing job %d\n", id, j)
    }
}

func main() {
    const numWorkers = 3
    jobs := make(chan int, 100)
    var wg sync.WaitGroup

    for w := 1; w <= numWorkers; w++ {
        wg.Add(1)
        go worker(w, jobs, &wg)
    }

    for j := 1; j <= 9; j++ {
        jobs <- j
    }
    close(jobs)
    wg.Wait()
}

This code creates a worker pool with three workers.

What are some common use cases for this pattern?

Common use cases include processing tasks like image processing, web scraping, or handling requests in a web server.