How to solve the race condition problem? How do atomic operations solve this problem?

The race condition problem occurs when multiple threads access and modify shared data simultaneously without proper synchronization, leading to unpredictable results.

Solutions:

• Using locks (synchronized, ReentrantLock) for sequential access to critical sections.
• Applying atomic operations that guarantee the read/write operation is performed entirely without interruption.

Atomics (e.g., classes from java.util.concurrent.atomic) solve the race condition problem by providing operations on variables that are performed atomically at the processor level. This helps avoid explicit locks and improves performance.

Example with AtomicInteger:

import java.util.concurrent.atomic.AtomicInteger;

public class Counter {
    private AtomicInteger count = new AtomicInteger(0);

    public void increment() {
        count.incrementAndGet(); // atomic increment
    }

    public int getCount() {
        return count.get();
    }
}

Here, incrementAndGet() guarantees that the counter increment occurs without a race condition, even if multiple threads call this method simultaneously.