🧠 How Java Handles Memory — What Are Stack, Heap, and Garbage Collection?

Learn how Java handles memory with Stack, Heap, and Garbage Collection. Understand these core Java programming concepts with simple examples and best practices.

Introduction

Imagine you’re running multiple apps on your laptop — a browser, a video pla…


This content originally appeared on DEV Community and was authored by realNameHidden

Learn how Java handles memory with Stack, Heap, and Garbage Collection. Understand these core Java programming concepts with simple examples and best practices.

Introduction

Imagine you’re running multiple apps on your laptop — a browser, a video player, and maybe an IDE. Each app consumes some amount of memory. Now, what if your laptop didn’t know how to free up memory from unused apps? It would crash!

That’s exactly why memory management is so crucial — both in your computer and in Java programming.

When you write a Java program, it doesn’t just magically know how to store, use, and clean up memory. Java has a well-defined memory model that takes care of these tasks for you, making it one of the safest and easiest programming languages to learn.

In this post, we’ll break down how Java handles memory — focusing on three key areas: the Stack, the Heap, and Garbage Collection — in simple, real-world terms.

Core Concepts: How Java Handles Memory

When you run a Java program, the Java Virtual Machine (JVM) divides memory into several sections. The two most important are:

🧩 1. Stack Memory — For Methods and Local Variables

Think of stack memory as a stack of plates in a cafeteria — the plate you put last is the one you take off first.

Each time a method is called in Java, a new “plate” (called a stack frame) is added to the stack. It stores:

Local variables (like int x = 5)
Method parameters
Return addresses
Once the method finishes, the stack frame is popped off, and the memory is automatically released.

➡️ Benefits of Stack:

Fast access (because it’s managed in order)
No memory leaks (automatic cleanup)

➡️ Limitations:

Limited size — large recursion can cause a StackOverflowError
Data is temporary — it exists only until the method finishes

🧠 2. Heap Memory — For Objects and Classes

Now imagine the heap as a big warehouse where all your program’s objects live.

Whenever you use new in Java (e.g., new Student()), memory for that object is allocated on the heap. The heap is shared by all threads, meaning multiple parts of your program can access it simultaneously.

Objects stay in heap memory until the Garbage Collector decides they’re no longer needed.

➡️ Benefits of Heap:

Stores data that must live beyond method calls
Suitable for dynamic memory allocation
➡️ Limitations:

Slower than stack
Requires proper cleanup (handled by Garbage Collection)

🧹 3. Garbage Collection — Java’s Cleaning Service

Over time, your heap can fill up with objects that are no longer used — just like old files on your computer.

Instead of asking you to manually delete them (like in C/C++), Java’s Garbage Collector (GC) automatically identifies and removes unused objects.

The GC checks for objects that no longer have references and frees up memory space, preventing memory leaks and keeping your program running smoothly.

You can even suggest the JVM to run GC using:

System.gc(); // Only a request — not a command!

But remember: the JVM decides when to actually run GC based on its internal algorithms.

Code Examples

Example 1: Understanding Stack and Heap Memory

// Java 21 Example
public class MemoryDemo {

    public static void main(String[] args) {
        int a = 10; // Stored in Stack
        int b = 20; // Stored in Stack

        MemoryDemo demo = new MemoryDemo(); // demo object stored in Heap
        demo.addNumbers(a, b);
    }

    public void addNumbers(int x, int y) {
        int sum = x + y; // x, y, sum -> Stack memory
        System.out.println("Sum: " + sum);
    }
}

đź§  Explanation:

a, b, x, y, and sum are all in stack memory.

The demo object is in the heap.

When main() and addNumbers() finish executing, their stack frames are cleared — but the heap object remains until GC removes it.

Example 2: How Garbage Collection Works in Practice

// Java 21 Example
public class GarbageCollectorDemo {

    public static void main(String[] args) {
        createObjects();
        System.gc(); // Suggests JVM to perform Garbage Collection
    }

    public static void createObjects() {
        String temp = new String("Hello Java!"); // Heap object
        temp = null; // Eligible for GC (no references now)

        // Creating many short-lived objects
        for (int i = 0; i < 5; i++) {
            new String("Object " + i);
        }
    }

    @Override
    protected void finalize() throws Throwable {
        System.out.println("Garbage Collector called!");
    }
}

đź§  Explanation:

Objects created with new String() live in the heap.

Once they lose all references (like temp = null), they become eligible for Garbage Collection.

You may (sometimes) see “Garbage Collector called!” printed — but remember, the timing is unpredictable.

Best Practices for Effective Memory Management

Avoid creating unnecessary objects

Reuse existing ones when possible (e.g., use StringBuilder instead of concatenating multiple strings).

Close resources properly

Always close database connections, files, and streams using try-with-resources.

Be cautious with static references

Static variables live as long as your application does — they can easily cause memory leaks if not managed well.

Understand object scope

Keep variable scopes as small as possible. This ensures objects become eligible for GC sooner.

Don’t rely too much on System.gc()

It’s just a request — not a guarantee. Let the JVM handle memory cleanup naturally.

Conclusion

Java’s memory management is one of its biggest strengths — it lets you focus on logic instead of worrying about allocating or freeing memory manually.

By understanding the Stack, Heap, and Garbage Collection, you gain a clearer picture of what’s happening “behind the scenes” every time your program runs. This not only helps you write efficient Java code but also makes debugging performance issues much easier.

So the next time you see an OutOfMemoryError or a StackOverflowError, you’ll know exactly where to look!


This content originally appeared on DEV Community and was authored by realNameHidden


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