Data races occur when multiple goroutines access the same variable simultaneously with at least one modifying it, leading to unpredictable behavior. Go provides several solutions: the race detector flag to identify races, mutexes (sync.Mutex) to protect critical sections, read-write mutexes (sync.RWMutex) for single-writer multiple-reader scenarios, and channels as alternative synchronization primitives. The article demonstrates these concepts through practical examples of concurrent map modifications and word frequency counting.
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Concurrent modificationData raceSequential modificationMutexRead-write mutexChannel as mutexKeep it upSort: