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Handling Concurrent Writes to a Map in Go - Race Condition Issues

👀 Views: 47 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-14
go concurrency sync Go

I need help solving I'm building a feature where I've looked through the documentation and I'm still confused about I need help solving I tried several approaches but none seem to work..... I'm working on a Go application where I need to maintain a map that stores user session data for a web application. The requirement is to allow multiple goroutines to read from and write to this map simultaneously. However, I suspect that I'm running into race condition issues because sometimes the data seems to be corrupted or missing. I'm using Go 1.19, and I've tried using a `sync.Mutex` to protect the map, but it seems like I'm still working with data inconsistencies. Here's a snippet of my code: ```go package main import ( "fmt" "sync" ) var ( userSessions = make(map[string]string) mu sync.Mutex ) func setSession(userID string, sessionID string) { mu.Lock() defer mu.Unlock() userSessions[userID] = sessionID } func getSession(userID string) string { mu.Lock() defer mu.Unlock() return userSessions[userID] } func main() { var wg sync.WaitGroup for i := 0; i < 10; i++ { wg.Add(1) go func(id int) { defer wg.Done() setSession(fmt.Sprintf("user%d", id), fmt.Sprintf("session%d", id)) } (i) } wg.Wait() fmt.Println(userSessions) } ``` Even with the mutex in place, I still see unexpected output sometimes where the map does not contain all user sessions that should have been set. I also tried using `sync.Map`, but it didn't seem to fix the scenario either. Is there something I might be missing in terms of concurrency control? What are the best practices for managing concurrent writes to a map in Go? This is part of a larger application I'm building. What am I doing wrong? My development environment is CentOS. Any help would be greatly appreciated! The stack includes Go and several other technologies. Any suggestions would be helpful.