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🟤 Level 7 — Runtime & Concurrency
Concurrency
Sync Primitives (Mutex & WaitGroup)
Low-level synchronization tools: Mutex, RWMutex, WaitGroup, Once, and Pool.
Real-World Analogy (Mental Model)
“`sync.Mutex` is the key to a single-occupancy airplane bathroom. Only one person holds the key; everyone else waits in line until the door unlocks.”
Interactive Mutex vs Data Race Simulator
Toggle between sync.Mutex protection and unprotected access to see how data races corrupt shared memory:
Protection Mode:
Shared Memory Counter:Target: 100
0
mu.Lock() -> counter++ -> mu.Unlock()
Execution Log: Select Mutex mode and click "Spawn 100 Goroutines"
Key Concepts & Rules To Remember
- `sync.Mutex` (`Lock()` / `Unlock()`) protects shared state against concurrent data races.
- `sync.WaitGroup` (`Add()`, `Done()`, `Wait()`) blocks until a group of goroutines finish.
- `sync.Pool` reuses memory objects to reduce garbage collection load.
Step-by-Step Code
1. Understanding Sync Primitives (Mutex & WaitGroup)
Low-level synchronization tools: Mutex, RWMutex, WaitGroup, Once, and Pool. In Go, sync primitives (mutex & waitgroup) is designed around clarity and high runtime efficiency.
example.goGo 1.24+
var wg sync.WaitGroup
for i := 0; i < 3; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
fmt.Println("Worker", id, "done")
}(i)
}
wg.Wait() // Waits for all 3 workers!Common Beginner Pitfalls & Mistakes
Mistake: Misusing sync primitives (mutex & waitgroup) without understanding its memory or concurrency semantics.
✅ Correct Way: Always follow standard Go idioms and verify with tests.
Self Assessment
Knowledge Check
Verify your understanding with these interactive practice questions.
Quizzes
Quick checks for understanding
Multiple-choice with inline explanations—expand to see why.
What is the primary concept behind Sync Primitives (Mutex & WaitGroup)?
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