A Race Condition occurs when multiple threads access and modify shared data at the same time, and the final result depends on the order in which threads execute.
Because thread execution timing is unpredictable, it can lead to incorrect or inconsistent results.
πΉ Simple Definition
π When two or more threads βraceβ to update the same resource without proper synchronization, a race condition happens.
πΉ Example of Race Condition
class Counter {
int count = 0;
void increment() {
count++; // Not thread-safe
}
}
If two threads execute increment() simultaneously:
- Thread A reads value β 0
- Thread B reads value β 0
- Thread A updates β 1
- Thread B updates β 1
β
Expected result: 2
β Actual result: 1
This is a race condition.
πΉ Why Race Condition Happens?
- Shared mutable data
- Multiple threads running concurrently
- Lack of synchronization
- Non-atomic operations (
count++is not atomic)
πΉ How to Prevent Race Condition?
1οΈβ£ Using synchronized
synchronized void increment() {
count++;
}
2οΈβ£ Using Atomic Classes
AtomicInteger count = new AtomicInteger();
count.incrementAndGet();
3οΈβ£ Using Locks (ReentrantLock)
Provides better control than synchronized blocks.
πΉ Real-Time Examples
- Bank account balance updates
- Ticket booking systems
- Inventory management systems
- Multi-user web applications
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