Skip to main content

Oops I Locked It Again! — My JVM’s Deadlock Love Story πŸ’”

πŸ’€ What is Deadlock in Java?

Deadlock is like two people playing “You go first” forever. Neither gives up. Neither moves. JVM says: “I'm outta here.” 😩

πŸ”„ Real-World Analogy

πŸ‘¨‍πŸ’Ό Thread A grabs the Pen, waits for Paper
πŸ‘©‍πŸ’Ό Thread B grabs the Paper, waits for Pen
Result: Both stuck — staring at each other πŸ‘€
Outcome: Deadlock! ☠️

⚙️ Java Code Example – How Deadlock Happens



public class DeadlockExample {

    private static final Object resourceA = new Object();

    private static final Object resourceB = new Object();

    public static void main(String[] args) {

        Thread t1 = new Thread(() -> {

            synchronized (resourceA) {

                System.out.println("Thread-1 locked Resource A");

                try { Thread.sleep(100); } catch (Exception ignored) {}

                synchronized (resourceB) {

                    System.out.println("Thread-1 locked Resource B");

                }

            }

        });

        Thread t2 = new Thread(() -> {

            synchronized (resourceB) {

                System.out.println("Thread-2 locked Resource B");

                try { Thread.sleep(100); } catch (Exception ignored) {}

                synchronized (resourceA) {

                    System.out.println("Thread-2 locked Resource A");

                }

            }

        });

        t1.start();

        t2.start();

    }

}

🎨 Diagrammatic Representation


Time T0:

Thread-1: LOCKS resourceA πŸ”

Thread-2: LOCKS resourceB πŸ”

Time T1:

Thread-1: WAITING for resourceB (held by Thread-2) ⏳

Thread-2: WAITING for resourceA (held by Thread-1) ⏳

=> Neither can proceed = DEADLOCK ☠️

πŸ” What is ReentrantLock?

Java’s ReentrantLock is part of the java.util.concurrent.locks package and gives more control than synchronized.

✅ Benefits:

  • Try lock with timeout ⏲️
  • Interrupt lock waiting
  • Fairness option (FIFO)

πŸ§ͺ Example: Avoiding Deadlock with tryLock()



import java.util.concurrent.locks.*;

public class DeadlockFree {

    private static final Lock lockA = new ReentrantLock();

    private static final Lock lockB = new ReentrantLock();

    public static void main(String[] args) {

        Thread t1 = new Thread(() -> {

            try {

                if (lockA.tryLock(100, TimeUnit.MILLISECONDS)) {

                    try {

                        if (lockB.tryLock(100, TimeUnit.MILLISECONDS)) {

                            try {

                                System.out.println("Thread-1 got both locks");

                            } finally {

                                lockB.unlock();

                            }

                        }

                    } finally {

                        lockA.unlock();

                    }

                }

            } catch (InterruptedException e) {

                e.printStackTrace();

            }

        });

        Thread t2 = new Thread(() -> {

            try {

                if (lockB.tryLock(100, TimeUnit.MILLISECONDS)) {

                    try {

                        if (lockA.tryLock(100, TimeUnit.MILLISECONDS)) {

                            try {

                                System.out.println("Thread-2 got both locks");

                            } finally {

                                lockA.unlock();

                            }

                        }

                    } finally {

                        lockB.unlock();

                    }

                }

            } catch (InterruptedException e) {

                e.printStackTrace();

            }

        });

        t1.start();

        t2.start();

    }

}

πŸ“Š In-Depth: When and How Deadlock Can Happen

Deadlock can only occur if all 4 conditions happen together.

πŸ”’ 1. Mutual Exclusion

  • What it means: Only one thread can use a resource at a time
  • Code example:


synchronized(resourceA) {

   // only one thread inside

}

✅ You can't avoid it — but you can manage it with order & timeouts

πŸ™‹‍♂️ 2. Hold and Wait

  • What it means: Thread holds one lock, waits for another
  • Code example:


synchronized(resourceA) {

    Thread.sleep(100);

    synchronized(resourceB) {

       // waiting for B while holding A

    }

}

✅ Solution: Lock both at once or use tryLock()

✅ Try-Lock Solution



if (lockA.tryLock(100, TimeUnit.MILLISECONDS)) {

    if (lockB.tryLock(100, TimeUnit.MILLISECONDS)) {

        // Got both safely

    }

}

🚫 3. No Preemption

  • What it means: JVM won't take a lock back forcibly
  • Problem: If thread holds a lock too long, others are stuck

✅ Solution: Always use finally to release lock and prefer tryLock()

πŸ”„ 4. Circular Wait

  • What it means: Threads form a circle of dependency


// Thread 1

synchronized(A) {

    synchronized(B) {

        // ...

    }

}

// Thread 2

synchronized(B) {

    synchronized(A) {

        // ...

    }

}

✅ Solution: Lock Ordering



Object[] locks = {resourceA, resourceB};

Arrays.sort(locks, Comparator.comparing(Object::hashCode));

synchronized(locks[0]) {

    synchronized(locks[1]) {

        // safe section

    }

}

✅ All 4 conditions met = Guaranteed Deadlock ☠️

✅ Prevention Strategies Recap

✅ Strategy πŸ’‘ Benefit
πŸ” Lock in Same Order Avoids circular wait
⏲️ Use tryLock() Prevents infinite waiting
🧼 Avoid Nested Locks Keeps logic simple
πŸ§ͺ Use Thread Dumps Detect stuck threads (jstack, VisualVM, JFR)
☁️ Split Big Locks Reduces contention

πŸ˜… Java Joke Break

πŸ§‘‍πŸ’» Developer: "Why does my program hang at night?"
πŸ‘» Deadlock: "Because I’m locking your dreams too."

🎯 Final Tip

Deadlock doesn't throw an exception. It silently kills performance. Watch for signs like:

  • High CPU usage πŸ”₯
  • No logs output πŸ•³️
  • Thread dumps showing "waiting to lock" πŸ”

Comments

Popular posts from this blog

🐱 Tomcat vs ⚡ Netty – Which One Should You Use?

🐱 Tomcat vs ⚡ Netty – Which One Should You Use? So recently I got curious about this too πŸ€”. Everywhere in Spring Boot tutorials we see Tomcat . Then suddenly while exploring Spring WebFlux , the name Netty pops up. And I was like – “Wait, who’s this Netty guy trying to replace Tomcat?” πŸ˜… Let’s break it down with real-time examples , icons , and fun comparisons . 🐱 Tomcat – The Traditional Web Server Type: Servlet Container (blocking I/O) World: Used with Spring MVC Style: Thread-per-request model πŸ‘©‍πŸ’» Pros: Stable, widely used, battle-tested Cons: Struggles with huge concurrent connections πŸ‘‰ Example in real life: Tomcat is like a restaurant with fixed waiters 🍴. - Each customer = one thread/waiter - If too many customers come in at once → waiters run out → customers wait outside πŸšͺ ⚡ Netty – The Reactive Rockstar Type: Asynchronous Event-Driven Network Framework World: Default for Spring WebFlux Style: Event-lo...

🎭 Spring’s Secret: Why @Transactional & Friends Betray You Silently

πŸ’‘ Lesson Learned — Not a Prod Bug, But a Real Pain No, this wasn’t a production outage. Nobody screamed at me. But I sat for 3 hours wondering: “Why the heck is my @Transactional not rolling back!?” 😡‍πŸ’« “Why is Redis cache not working?” 🀯 Turned out, the issue was one silent villain: 🧱 Self-invocation 🀷 What Is @Transactional ? If you're new: @Transactional = Tells Spring to start a DB transaction when a method is called. It’ll commit if everything’s okay. It’ll rollback if something fails. 🧠 Think of it like wrapping your code in: try { beginTransaction(); // your logic commit(); } catch(Exception e) { rollback(); } πŸ•΅️ Real-Life Analogy — The Gateway Community 🏘️ Let me tell you about my society — it has a strict watchman at the gate. Here’s how it works: πŸ›‚ Watchman = Spring Proxy 🏠 Your apartment = Your service class πŸšͺ Your room = A method inside that class πŸƒ Scenario 1: Outsider Visits Your friend from outside...

🧡 Virtual Threads in Java — The Ultimate Guide with Diagrams, Code & Interview Qs!

πŸš€ “How are Virtual Threads different from Thread Pools?” 😡 “Are they OS threads or JVM threads?” πŸ™ƒ “Should I still use CompletableFuture?” 🀯 “How do I even use them in real-time microservices?” 🧠 What are Virtual Threads? Virtual Threads (introduced in Java 21 as stable πŸŽ‰) are lightweight threads managed by the JVM instead of the OS kernel. πŸ‘‰ They look like normal threads, but don’t hog OS resources like traditional threads. 🧠 What is the OS Kernel? πŸ›️ OS Kernel = The Brain of the Operating System It’s the core part of your OS (Windows, Linux, Mac) that: Manages memory 🧠 Schedules threads πŸ•’ Talks to hardware πŸ’» Handles I/O operations πŸ“¨ When you create a traditional thread in Java, the JVM asks the OS Kernel to create a real OS-level thread. πŸ–Ό️ Imagine This... ┌───────────────────────────┐ │ Your Java Application │ └────────────┬──────────────┘ │ ...