Introduction to Synchronization | Avoiding Race Conditions with synchronized Keyword

Welcome to Lecture 4 of our Java Multithreading Playlist, where we dive into one of the most crucial concepts in concurrent programming — Synchronization in Java using the synchronized keyword.

In this video, we explore how multiple threads can cause unexpected behavior when they try to access and modify a shared variable at the same time — a problem known as a Race Condition.

🔍 What you will learn in this lecture:

✅ What is a Race Condition in multithreading
✅ Step-by-step breakdown of how race conditions occur
✅ Real-time example of shared variable (int count = 0) being corrupted due to unsynchronized access
✅ How to solve the problem using the synchronized keyword
✅ Simple implementation of synchronized method
✅ Clean Java code demonstration with expected vs. actual output
✅ When and why to use synchronization in real-world applications

🔐 Why Synchronization?

In multithreaded programs, when two or more threads access a shared resource, there's always a chance that one thread might interfere with another thread’s operation. This is what we call a race condition. Using synchronization ensures that only one thread at a time can access the critical section of the code, thereby preserving data consistency.

🧠 Beginner-Friendly Explanation:

We use the classic whiteboard analogy to make it easy for beginners:

Imagine two students (threads) trying to write on the same whiteboard (shared variable). If they both write at the same time without coordination (synchronization), the result will be chaotic or incorrect. Synchronization acts like a rule that says: "Only one student can write at a time."

💻 Code Walkthrough:

We create a simple Java class where two threads each increment a shared counter 1000 times. Without synchronization, the result is less than 2000 due to data corruption. Then, we solve the problem using a synchronized method that ensures only one thread modifies the counter at a time. This makes the final output accurate and consistent.

This lecture is part of our complete multithreading series where we go step-by-step from basics to advanced topics like thread pools, inter-thread communication, executors, and concurrent collections.

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