DEV Community

Cover image for Understanding Garbage Collection in JavaScript and Beyond
Brandon Wie
Brandon Wie

Posted on

Understanding Garbage Collection in JavaScript and Beyond

Recently, I had a tech interview where I was asked about how different programming languages handle garbage collection. It was a surprising yet refreshing question that really piqued my interest—I’d never encountered such a deep dive into memory management during an interview before. I loved the question and wanted to explore the topic further in a blog post.


Efficient memory management is crucial for high-performing applications. Garbage collection (GC) ensures that unused memory is reclaimed automatically, preventing memory leaks and crashes. In this post, we will focus on how garbage collection works in JavaScript, explore other approaches used in programming languages, and provide examples to clarify the concepts.


What is Garbage Collection?

Garbage collection is the process of reclaiming memory occupied by objects no longer in use. Languages with automatic garbage collection abstract this process, freeing developers from manually managing memory. JavaScript, for example, uses a tracing garbage collector, while other languages use different techniques.


Garbage Collection in JavaScript

JavaScript relies on a tracing garbage collection approach, specifically the Mark-and-Sweep algorithm. Let’s break it down:

1. Mark-and-Sweep Algorithm

This algorithm determines which objects in memory are "reachable" and deallocates those that are not:

  1. Mark Phase:
    • Starts from "root" objects (e.g., window in browsers or global in Node.js).
    • Traverses all objects accessible from these roots, marking them as "alive."
  2. Sweep Phase:
    • Scans the heap and deallocates objects that are not marked as reachable.

Example:

function example() {
  let obj = { key: "value" }; // obj is reachable
  let anotherObj = obj; // another reference to obj

  anotherObj = null; // reference count decreases
  obj = null; // reference count decreases to 0
  // obj is now unreachable and will be garbage collected
}
Enter fullscreen mode Exit fullscreen mode

2. Generational Garbage Collection

Modern JavaScript engines (e.g., V8 in Chrome/Node.js) optimize garbage collection using generational GC. Memory is divided into:

  • Young Generation: Short-lived objects, like function-scoped variables, are stored here and collected frequently.
  • Old Generation: Long-lived objects, like global variables, are stored here and collected less frequently.

Why Generational GC is Efficient:

  • Most objects in JavaScript are short-lived and can be quickly collected.
  • Long-lived objects are moved to the old generation, reducing the need for frequent scanning.

Other Garbage Collection Strategies

Let’s explore how other languages handle garbage collection:

1. Reference Counting

Reference counting keeps track of how many references point to an object. When the reference count drops to 0, the object is deallocated.

Pros:

  • Simple and immediate reclamation of memory.
  • Predictable behavior.

Cons:

  • Circular References: If two objects reference each other, their counts will never reach 0.

Example: (Python reference counting)

a = []
b = []
a.append(b)
b.append(a)
# These objects reference each other but are unreachable; modern Python’s cycle collector handles this.
Enter fullscreen mode Exit fullscreen mode

2. Manual Memory Management

Languages like C and C++ require developers to explicitly allocate and free memory.

Example: (C memory management)

#include <stdlib.h>

int *ptr = (int *)malloc(sizeof(int)); // Allocate memory
*ptr = 42; // Use memory
free(ptr); // Free memory
Enter fullscreen mode Exit fullscreen mode

Pros:

  • Full control over memory usage.

Cons:

  • Prone to memory leaks (forgetting to free memory) and dangling pointers (freeing memory too early).

3. Tracing with Cycle Collectors

Some languages (e.g., Python) combine reference counting with cycle detection to handle circular references.

  • A cycle collector periodically scans objects to detect cycles (groups of mutually referencing objects not reachable from the root). Once a cycle is found, the collector breaks it and reclaims the memory.
  • Cycle collectors solve the biggest drawback of pure reference counting (circular references). They add extra overhead but ensure no memory is leaked due to cycles.

4. Rust’s Borrow Checker (No GC)

Rust takes a different approach, avoiding garbage collection entirely. Instead, Rust enforces strict ownership rules via the borrow checker:

  • Ownership: Each value has a single owner at a time.
  • Borrowing: You can borrow references (immutable or mutable), but only one mutable reference is allowed at a time to prevent *data races.
  • Lifetimes: The compiler infers when values go out of scope, automatically freeing memory.

This system ensures memory safety without the need for a traditional GC, giving Rust the performance benefits of manual memory management while helping avoid common errors like dangling pointers.

TMI. #DataRaces occur in concurrent or parallel programming when two or more threads (or processes) access the same memory location at the same time without proper synchronization, and at least one of them writes to that location. Because there’s no mechanism (like a lock or atomic operation) to coordinate these concurrent accesses, the final state of the shared data can be unpredictable and inconsistent—leading to hard-to-find bugs.


Comparison of Garbage Collection Strategies

Method Languages Pros Cons
Reference Counting Early Python, Objective-C Immediate reclamation, simple to implement Fails with circular references
Tracing (Mark-and-Sweep) JavaScript, Java Handles circular references, efficient for large heaps Stop-the-world pauses
Generational GC JavaScript, Java Optimized for short-lived objects More complex to implement
Manual Management C, C++ Full control Error-prone, requires careful handling
Hybrid (Ref + Cycles) Modern Python Best of both worlds Still needs periodic cycle detection
Borrow Checker Rust Eliminates need for GC, prevents data races Steeper learning curve, ownership rules

How JavaScript Handles Common Scenarios

Circular References

JavaScript’s tracing garbage collector handles circular references gracefully:

function circularExample() {
  let obj1 = {};
  let obj2 = {};
  obj1.ref = obj2;
  obj2.ref = obj1;

  obj1 = null;
  obj2 = null; // Both objects become unreachable and are collected
}
Enter fullscreen mode Exit fullscreen mode

Event Listeners and Closures

Event listeners can unintentionally create memory leaks if not properly cleaned up:

const button = document.getElementById("myButton");

function handleClick() {
  console.log("Button clicked!");
}

button.addEventListener("click", handleClick);

// If the button is removed from the DOM but the event listener is not removed:
// The closure keeps `handleClick` alive, causing a memory leak.
button.removeEventListener("click", handleClick); // Proper cleanup
Enter fullscreen mode Exit fullscreen mode

Takeaway Points

  1. JavaScript uses a tracing garbage collector with a Mark-and-Sweep algorithm to manage memory automatically.
  2. Generational GC optimizes performance by focusing on short-lived objects.
  3. Other languages use different strategies:
    • Reference Counting: Simple but prone to circular references.
    • Manual Management: Full control but error-prone.
    • Hybrid Approaches: Combine strategies for better performance.
    • Rust’s Borrow Checker: No GC, but strict ownership rules.
  4. Be mindful of potential memory leaks in JavaScript, especially with closures and event listeners.

It was such a great opportunity to look into the strategies that languages use for garbage collection. I think understanding how garbage collection works not only helps you write efficient code, but also allows you to debug memory-related issues effectively.


References

Sentry blog image

How I fixed 20 seconds of lag for every user in just 20 minutes.

Our AI agent was running 10-20 seconds slower than it should, impacting both our own developers and our early adopters. See how I used Sentry Profiling to fix it in record time.

Read more

Top comments (0)

Sentry image

See why 4M developers consider Sentry, “not bad.”

Fixing code doesn’t have to be the worst part of your day. Learn how Sentry can help.

Learn more

👋 Kindness is contagious

Engage with a sea of insights in this enlightening article, highly esteemed within the encouraging DEV Community. Programmers of every skill level are invited to participate and enrich our shared knowledge.

A simple "thank you" can uplift someone's spirits. Express your appreciation in the comments section!

On DEV, sharing knowledge smooths our journey and strengthens our community bonds. Found this useful? A brief thank you to the author can mean a lot.

Okay