Concurrency implementing Goroutines and Channels - Data Race in Go 1.20
I'm writing unit tests and I've been researching this but This might be a silly question, but After trying multiple solutions online, I still can't figure this out..... I am seeing unexpected behavior when using goroutines and channels in my Go application. Specifically, I have a worker pool that processes tasks fetched from a channel, but I'm working with a data race when accessing shared variables. Here's a simplified version of my code: ```go package main import ( "fmt" "sync" "time" ) type Task struct { ID int Result string } type Worker struct { ID int Tasks chan Task wg *sync.WaitGroup } func (w *Worker) start() { defer w.wg.Done() for task := range w.Tasks { fmt.Printf("Worker %d processing task %d\n", w.ID, task.ID) time.Sleep(100 * time.Millisecond) // Simulate work task.Result = "Completed" // This line causes a data race } } func main() { numWorkers := 5 tasks := make(chan Task, 10) var wg sync.WaitGroup for w := 1; w <= numWorkers; w++ { worker := Worker{ID: w, Tasks: tasks, wg: &wg} wg.Add(1) go worker.start() } for i := 1; i <= 10; i++ { tasks <- Task{ID: i} } close(tasks) wg.Wait() fmt.Println("All tasks completed.") } ``` When I run the program with the `-race` flag, I get the following behavior: ``` detected a race condition ``` I understand that the `Result` field of `Task` is being accessed concurrently from multiple goroutines, leading to a data race. However, I tried using a mutex to lock access to the `Result` field, but it seems to complicate my code significantly, and I'm not sure if that's the best approach. What would be an optimal way to handle this concurrency scenario? I want to ensure that tasks are processed safely without introducing too much complexity or overhead to my worker implementation. Any insights or best practices would be greatly appreciated. Am I missing something obvious? This is part of a larger CLI tool I'm building. Any ideas what could be causing this? I'm working on a web app that needs to handle this. Am I missing something obvious? I'm working with Go in a Docker container on Linux. I'd really appreciate any guidance on this. The stack includes Go and several other technologies. Any ideas what could be causing this?