Dealing with Race Conditions in Go Goroutines When Updating Shared State
Quick question that's been bugging me - I'm following best practices but I recently switched to After trying multiple solutions online, I still can't figure this out... I'm working with a race condition scenario in my Go application that uses goroutines to update shared state. I'm using Go version 1.20 and the `sync` package for managing concurrency. The function that updates the shared map is being called concurrently from multiple goroutines, and I'm noticing that the data in the map is becoming inconsistent, leading to unexpected results. Here's a simplified version of my code: ```go package main import ( "fmt" "sync" ) var ( myMap = make(map[string]int) mu sync.Mutex ) func updateMap(key string, value int) { mu.Lock() defer mu.Unlock() // Ensure we unlock even if panic occurs myMap[key] += value } func main() { var wg sync.WaitGroup for i := 0; i < 10; i++ { wg.Add(1) go func(j int) { defer wg.Done() updateMap("key", j) }(i) } wg.Wait() fmt.Println(myMap) } ``` Even with the mutex in place, I'm still experiencing some inconsistencies. For instance, when I run the program, I sometimes get a map where the "key" has values that do not seem to correlate with the updates I expected. The final result is often not what I anticipate, and I’m not sure where I went wrong. I’ve also tried using `sync.RWMutex` instead of just `sync.Mutex`, thinking it might help with read/write operations, but the scenario continues. I have no idea if I'm missing something fundamental about goroutine synchronization or if there's a better approach to this question. Any help would be greatly appreciated! I appreciate any insights! This is happening in both development and production on Ubuntu 20.04. I appreciate any insights! Is there a better approach?