Frontend focused interviews often don’t care about DSA at all.

And for those of us that remember studying DSA at school/college, all the examples felt purely algorithmic (for good reason), but there were hardly any examples or guidance on how the products we use every day leverage this concept.

“Will I ever need this?”
You’ve asked this a lot, haven’t you? ?

Here are a few data structures that you can leverage in your React app today! ?

Table of Contents

1. Introduction
2. Arrays: Your Go-to in State Management
3. Objects and Hash Maps: Normalized Data Store for Efficiency
4. Doubly Linked Lists: Navigation with Context
5. Stacks: Undo/Redo Functionality with Immutable Behavior
6. Queues: Managing Sequential API Calls
7. Trees: Rendering Recursive Components
8. Graphs: Building Complex Data Relationships and Navigation
9. Conclusion

Related reading:

Going from SDE1 to SDE2, and beyond! ? What it actually takes.

Jayant Bhawal for Middleware ・ Jun 10

#career #promotion #webdev #beginners

1. Arrays ?: Your Go-to in State Management

Arrays are everywhere in React. If you need help understanding how .map() or .filter() work, you’re probably seeing this post a little too soon! But don’t worry—once you get comfortable with these array methods, you’ll see how essential they are for rendering lists, managing component states, and transforming data.

2. Objects and Hash Maps ?️: Normalized Data Store for Efficiency

In a React app, when you deal with a large collection of entities like users or posts, normalizing your data into objects (hash maps) can make reading and updating much more efficient. Instead of working with a deeply nested structure, you map entities by their IDs.

Example: Reading from a normalized store with IDs

const postsById = {
  1: { id: 1, title: 'First Post', content: 'Content of first post' },
  2: { id: 2, title: 'Second Post', content: 'Content of second post' }
};

const postIds = [1, 2];

function PostList() {
  return (
    

      {postIds.map(id => (
        
      ))}
    
  );
}

function Post({ post }) {
  return (
    

      
{post.title}
      
{post.content}
    
  );
}

This pattern allows for efficient data access, especially with large datasets where updates or reads need to happen quickly without re-rendering the entire collection.

3. Doubly Linked Lists ?: Navigation with Context

Doubly linked lists are useful when you need context from both the previous and next elements—think of navigating a photo gallery where each image displays its neighboring images for reference. Instead of using an index, we'll store the current node directly in the component state.

Example: Doubly linked list for navigation between elements with context

class Node {
  constructor(value) {
    this.value = value;
    this.next = null;
    this.prev = null;
  }
}

class DoublyLinkedList {
  constructor() {
    this.head = null;
    this.tail = null;
  }

  add(value) {
    const newNode = new Node(value);
    if (!this.head) {
      this.head = newNode;
      this.tail = newNode;
    } else {
      this.tail.next = newNode;
      newNode.prev = this.tail;
      this.tail = newNode;
    }
  }
}

const imageList = new DoublyLinkedList();
imageList.add({ id: 1, src: 'image1.jpg', alt: 'First Image' });
imageList.add({ id: 2, src: 'image2.jpg', alt: 'Second Image' });
imageList.add({ id: 3, src: 'image3.jpg', alt: 'Third Image' });

function Gallery() {
  const [currentNode, setCurrentNode] = useState(imageList.head);

  return (
    

      {currentNode.prev && (
        
      )}
      
      {currentNode.next && (
        
      )}
      

         setCurrentNode(currentNode.prev)} disabled={!currentNode.prev}>
          Previous
        
         setCurrentNode(currentNode.next)} disabled={!currentNode.next}>
          Next
        
      
    
  );
}

In this React component:

• The current node is stored in the state, and the UI updates based on whether there’s a previous or next node.
• The buttons enable users to navigate the list both forwards and backwards, and disable if there’s no more nodes to move to.
• This structure simulates real-time navigation with context from the surrounding elements, commonly used in UI components like carousels, media galleries, or playlists.

4. Stacks ?: Undo/Redo Functionality with Immutable Behavior

Stacks allow you to manage undo/redo operations efficiently using Last In, First Out (LIFO) logic. By using immutable operations (concat, slice), we can ensure state remains unmutated.

Example: Undo/Redo with immutable push and pop

const [undoStack, setUndoStack] = useState([]);
const [redoStack, setRedoStack] = useState([]);
const [formState, setFormState] = useState({ name: '', email: '' });

const updateForm = (newState) => {
  setUndoStack(prev => prev.concat([formState]));  // Immutable push
  setRedoStack([]);  // Clear redo stack
  setFormState(newState);
};

const undo = () => {
  if (undoStack.length > 0) {
    const lastState = undoStack.at(-1);
    setUndoStack(prev => prev.slice(0, -1));  // Immutable pop
    setRedoStack(prev => prev.concat([formState]));  // Move current state to redo
    setFormState(lastState);
  }
};

const redo = () => {
  if (redoStack.length > 0) {
    const lastRedo = redoStack.at(-1);
    setRedoStack(prev => prev.slice(0, -1));  // Immutable pop
    setUndoStack(prev => prev.concat([formState]));  // Push current state to undo
    setFormState(lastRedo);
  }
};

5. Queues ?: Managing Sequential API Calls

Queues operate in a First In, First Out (FIFO) manner and are great for ensuring that tasks like API calls or notifications are processed in the correct order.

Example: Queueing API calls

const [apiQueue, setApiQueue] = useState([]);

const enqueueApiCall = (apiCall) => {
  setApiQueue(prevQueue => prevQueue.concat([apiCall]));  // Immutable push
};

const processQueue = () => {
  if (apiQueue.length > 0) {
    const [nextCall, ...restQueue] = apiQueue;
    nextCall().finally(() => setApiQueue(restQueue));  // Immutable pop
  }
};

6. Trees ?: Rendering Recursive Components

Trees are commonly used in React when dealing with nested components like comment threads, folder structures, or menus.

Example: Rendering a comment tree recursively

const commentTree = {
  id: 1,
  text: "First comment",
  children: [
    { id: 2, text: "Reply to first comment", children: [] },
    { id: 3, text: "Another reply", children: [{ id: 4, text: "Nested reply" }] }
  ]
};

function Comment({ comment }) {
  return (
    

      
{comment.text}
      {comment.children?.map(child => (
        

          
      ))}
    
  );
}

Another popular post that might be relevant to you:

Write Less, Fix Never: The Art of Highly Reliable Code

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7. Graphs ?: Building Complex Data Relationships and Navigation

Example 1: Routing between multiple views
You can represent routes between pages as a graph, ensuring flexible navigation paths in an SPA.

const routesGraph = {
  home: ['about', 'contact'],
  about: ['home', 'team'],
  contact: ['home'],
};

function navigate(currentRoute, targetRoute) {
  if (routesGraph[currentRoute].includes(targetRoute)) {
    console.log(`Navigating from ${currentRoute} to ${targetRoute}`);
  } else {
    console.log(`Invalid route from ${currentRoute} to ${targetRoute}`);
  }
}

Example 2: User relationship modeling
Graphs are perfect for modeling social connections or any kind of relationship where multiple entities are interconnected.

const usersGraph = {
  user1: ['user2', 'user3'],
  user2: ['user1', 'user4'],
  user3: ['user1'],
  user4: ['user2']
};

function findConnections(userId) {
  return usersGraph[userId] || [];
}

console.log(findConnections('user1'));  // Outputs: ['user2', 'user3']

Note: We use graphs to show reviewer dependencies in Middleware.

TL;DR — Those School Lessons Pay Off

Those DSA classes might have felt abstract back in the day, but data structures are powering the world around you in React.

Objects, stacks, queues, linked lists, trees, and graphs are more than just theory — they’re the backbone of the clean, efficient, and scalable apps you build every day.

So the next time you manage state in a queue or handle complex UI logic, remember: you’ve been training for this since school. ?

Let me know which data structures you’ve been using the most!