Multithreading & Concurrency in Java: One-Stop Solution for Interviews

Introduction Multithreading and concurrency are fundamental concepts in Java, crucial for building high-performance and scalable applications. This guide covers everything you need to master Java concurrency for interviews, including essential concepts, code snippets, and best practices. 1. Thread vs. Runnable Thread Class Java provides the Thread class, which represents a thread of execution. To create a thread, extend the Thread class and override the run() method. Example: class MyThread extends Thread { public void run() { System.out.println("Thread is running"); } } public class ThreadExample { public static void main(String[] args) { MyThread t1 = new MyThread(); t1.start(); // Starts a new thread } } Runnable Interface Java provides the Runnable interface, which represents a task that can be executed by a thread. Runnable is preferred as Java does not support multiple inheritance. Example: class MyRunnable implements Runnable { public void run() { System.out.println("Runnable is running"); } } public class RunnableExample { public static void main(String[] args) { Thread t1 = new Thread(new MyRunnable()); t1.start(); // Starts a new thread } } Key Differences Feature Thread Class Runnable Interface Inheritance Extends Thread Implements Runnable Flexibility Less flexible (restricts inheritance) More flexible (allows extending other classes) Resource Usage More memory overhead Less memory overhead Best Practice Not recommended Recommended 2. synchronized Keyword, Locks, and Reentrant Locks synchronized Keyword Used to achieve mutual exclusion. Ensures only one thread can execute a synchronized block/method at a time. Example: class SharedResource { synchronized void printNumbers() { for (int i = 1; i { synchronized (lock1) { synchronized (lock2) { System.out.println("Thread 1 acquired locks"); } } }); Thread t2 = new Thread(() -> { synchronized (lock2) { synchronized (lock1) { System.out.println("Thread 2 acquired locks"); } } }); t1.start(); t2.start(); } } Livelock Occurs when threads keep changing state to avoid deadlock but never make progress. 5. Fork/Join Framework Used for parallel processing, dividing tasks into smaller subtasks. Uses ForkJoinPool and RecursiveTask. Example: import java.util.concurrent.RecursiveTask; import java.util.concurrent.ForkJoinPool; class SumTask extends RecursiveTask { private int start, end; SumTask(int start, int end) { this.start = start; this.end = end; } protected Integer compute() { if (end - start

Mar 7, 2025 - 03:46

Multithreading & Concurrency in Java: One-Stop Solution for Interviews

Introduction

Multithreading and concurrency are fundamental concepts in Java, crucial for building high-performance and scalable applications. This guide covers everything you need to master Java concurrency for interviews, including essential concepts, code snippets, and best practices.

1. Thread vs. Runnable

Thread Class

Java provides the Thread class, which represents a thread of execution.
To create a thread, extend the Thread class and override the run() method.

Example:

class MyThread extends Thread {
    public void run() {
        System.out.println("Thread is running");
    }
}

public class ThreadExample {
    public static void main(String[] args) {
        MyThread t1 = new MyThread();
        t1.start(); // Starts a new thread
    }
}

Runnable Interface

Java provides the Runnable interface, which represents a task that can be executed by a thread.
Runnable is preferred as Java does not support multiple inheritance.

Example:

class MyRunnable implements Runnable {
    public void run() {
        System.out.println("Runnable is running");
    }
}

public class RunnableExample {
    public static void main(String[] args) {
        Thread t1 = new Thread(new MyRunnable());
        t1.start(); // Starts a new thread
    }
}

Key Differences

Feature	Thread Class	Runnable Interface
Inheritance	Extends `Thread`	Implements `Runnable`
Flexibility	Less flexible (restricts inheritance)	More flexible (allows extending other classes)
Resource Usage	More memory overhead	Less memory overhead
Best Practice	Not recommended	Recommended

2. `synchronized` Keyword, Locks, and Reentrant Locks

`synchronized` Keyword

Used to achieve mutual exclusion.
Ensures only one thread can execute a synchronized block/method at a time.

Example:

class SharedResource {
    synchronized void printNumbers() {
        for (int i = 1; i <= 5; i++) {
            System.out.println(i);
            try { Thread.sleep(500); } catch (InterruptedException e) { e.printStackTrace(); }
        }
    }
}

class MyThread extends Thread {
    SharedResource resource;
    MyThread(SharedResource res) { this.resource = res; }
    public void run() { resource.printNumbers(); }
}

public class SynchronizedExample {
    public static void main(String[] args) {
        SharedResource obj = new SharedResource();
        MyThread t1 = new MyThread(obj);
        MyThread t2 = new MyThread(obj);
        t1.start();
        t2.start();
    }
}

Locks and ReentrantLock

ReentrantLock allows more control than synchronized, including fairness policies.
Supports try-lock and timed locking mechanisms.

Example:

import java.util.concurrent.locks.ReentrantLock;

class SharedResource {
    private final ReentrantLock lock = new ReentrantLock();

    void printNumbers() {
        lock.lock();
        try {
            for (int i = 1; i <= 5; i++) {
                System.out.println(i);
                Thread.sleep(500);
            }
        } catch (InterruptedException e) {
            e.printStackTrace();
        } finally {
            lock.unlock();
        }
    }
}

3. `volatile`, Atomic Variables, and `ThreadLocal`

`volatile` Keyword

Ensures visibility of changes to variables across threads.
Prevents instruction reordering.

Example:

class SharedData {
    volatile boolean flag = false;
}

Atomic Variables

Provided by java.util.concurrent.atomic package.
Ensures atomic updates without explicit synchronization.

Example:

import java.util.concurrent.atomic.AtomicInteger;

class Counter {
    private AtomicInteger count = new AtomicInteger(0);
    void increment() { count.incrementAndGet(); }
}

`ThreadLocal`

Provides thread-local variables, ensuring thread safety without synchronization.

Example:

class ThreadLocalExample {
    private static ThreadLocal<Integer> threadLocal = ThreadLocal.withInitial(() -> 0);
}

4. Thread Starvation, Deadlock, and Livelock

Thread Starvation

Occurs when low-priority threads never get CPU time due to higher-priority threads monopolizing resources.

Deadlock

Occurs when two or more threads wait indefinitely for each other to release a lock.

Example:

class DeadlockExample {
    static final Object lock1 = new Object();
    static final Object lock2 = new Object();
    public static void main(String[] args) {
        Thread t1 = new Thread(() -> {
            synchronized (lock1) {
                synchronized (lock2) {
                    System.out.println("Thread 1 acquired locks");
                }
            }
        });
        Thread t2 = new Thread(() -> {
            synchronized (lock2) {
                synchronized (lock1) {
                    System.out.println("Thread 2 acquired locks");
                }
            }
        });
        t1.start();
        t2.start();
    }
}

Livelock

Occurs when threads keep changing state to avoid deadlock but never make progress.

5. Fork/Join Framework

Used for parallel processing, dividing tasks into smaller subtasks.
Uses ForkJoinPool and RecursiveTask.

Example:

import java.util.concurrent.RecursiveTask;
import java.util.concurrent.ForkJoinPool;

class SumTask extends RecursiveTask<Integer> {
    private int start, end;
    SumTask(int start, int end) { this.start = start; this.end = end; }
    protected Integer compute() {
        if (end - start <= 10) {
            int sum = 0;
            for (int i = start; i <= end; i++) sum += i;
            return sum;
        }
        int mid = (start + end) / 2;
        SumTask left = new SumTask(start, mid);
        SumTask right = new SumTask(mid + 1, end);
        left.fork();
        return right.compute() + left.join();
    }
}

public class ForkJoinExample {
    public static void main(String[] args) {
        ForkJoinPool pool = new ForkJoinPool();
        int result = pool.invoke(new SumTask(1, 100));
        System.out.println("Sum: " + result);
    }
}

Conclusion

Mastering multithreading and concurrency in Java is essential for building efficient applications. Understanding synchronized, locks, volatile, atomic variables, deadlocks, and the Fork/Join framework will help you excel in interviews and real-world scenarios.