Java/J2EE and SOA (348 Blogs) Become a Certified Professional
AWS Global Infrastructure

Programming & Frameworks

Topics Covered
  • C Programming and Data Structures (16 Blogs)
  • Comprehensive Java Course (4 Blogs)
  • Java/J2EE and SOA (345 Blogs)
  • Spring Framework (8 Blogs)

Understand How to Implement a Binary Heap in Java

Last updated on Apr 25,2024 22.5K Views

This article will give you a complete overview of the working of heap sort and later we will learn to implement a Binary Heap in Java.

Here is the agenda for this article:

  1. What is heap sort?
  2. Max Heap
  3. Min Heap
  4. Heap implementation in Java
    • Diagram
    • Code

    Let’s begin!


    What is heap sort?

    Heap is basically a tree based data structure. It has nodes. Node comprises of certain elements. Every node contains one element.

    Nodes may have children. If in case there are no children, it is called a Leaf.

    There are two rules to be followed:

    • The value of every node must be less or equal to all the values stored in its children.
    • It has the least possible height.

    Heaps are extremely efficient in extracting the least or greatest element.

    Let’s move on to min heap now!

    Also read: Heap Sort in C

    Min Heap

    Min heap is a complete binary tree in which the value of root element is less than or equal to either of the child element.

    Representation of min heap

    Arr[(i-1) / 2]: this will return the parent node.

    Arr[(2*i) + 1]: this will return the left child node.

    Arr[(2*i) + 2]: this will return the right child node.

    There are certain methods of Min Heap:

    • insert(): A new key at the end of the tree is added. In case the new key is larger then the parent, then there is no need to do anything, else, we have to traverse up to set up the heap property.
    • getMin(): this methods helps to return the root element.
    • extractMin(): this method returns the minimum element.

    Moving on to Max heap now.


    Max heap

    Max heap is a complete binary tree in which the value of root element is greater than or equal to either of the child element.

    Max heap consists of several methods too!

    • Insert (): it will insert an element in the heap.
    • Delete(): it will delete an element from the heap.
    • FindMax(): it will find the maximum element from the heap.
    • printHeap(): It will print the content of the heap

    Now let me show you the heap implementation through a diagram and later a Java code.


    Heap implementation in Java



    The diagram above shows the binary heap in Java. As you have learned that there are two heaps: Min heap and Max heap, here is a diagram:

    Binary Heap in Java


    Now, moving on to our next segment, we will see how to implement a binary heap in Java.


    public class BinaryHeap {
    	private static final int d= 2;
    	private int[] heap;
    	private int heapSize;
    	 * This will initialize our heap with default size. 
    	public BinaryHeap(int capacity){
    		heapSize = 0;
    		heap = new int[ capacity+1];
    		Arrays.fill(heap, -1);
    	 *  This will check if the heap is empty or not
    	 *  Complexity: O(1)
    	public boolean isEmpty(){
    		return heapSize==0;
    	 *  This will check if the heap is full or not
    	 *  Complexity: O(1)
    	public boolean isFull(){
    		return heapSize == heap.length;
    	private int parent(int i){
    		return (i-1)/d;
    	private int kthChild(int i,int k){
    		return d*i  +k;
    	 *  This will insert new element in to heap
    	 *  Complexity: O(log N)
    	 *  As worst case scenario, we need to traverse till the root
    	public void insert(int x){
    			throw new NoSuchElementException("Heap is full, No space to insert new element");
    		heap[heapSize++] = x;
    	 *  This will delete element at index x
    	 *  Complexity: O(log N)
    	public int delete(int x){
    			throw new NoSuchElementException("Heap is empty, No element to delete");
    		int key = heap[x];
    		heap[x] = heap[heapSize -1];
    		return key;
    	 *  This method used to maintain the heap property while inserting an element.
    	private void heapifyUp(int i) {
    		int temp = heap[i];
    		while(i>0 && temp > heap[parent(i)]){
    			heap[i] = heap[parent(i)];
    			i = parent(i);
    		heap[i] = temp;
    	 *  This method used to maintain the heap property while deleting an element.
    	private void heapifyDown(int i){
    		int child;
    		int temp = heap[i];
    		while(kthChild(i, 1) < heapSize){
    			child = maxChild(i);
    			if(temp < heap[child]){ heap[i] = heap[child]; }else break; i = child; } heap[i] = temp; } private int maxChild(int i) { int leftChild = kthChild(i, 1); int rightChild = kthChild(i, 2); return heap[leftChild]>heap[rightChild]?leftChild:rightChild;
    	 *  This method used to print all element of the heap
    	public void printHeap()
    	        System.out.print("nHeap = ");
    	        for (int i = 0; i < heapSize; i++)
    	            System.out.print(heap[i] +" ");
    	 *  This method returns the max element of the heap.
    	 *  complexity: O(1)
    	 public int findMax(){
    			 throw new NoSuchElementException("Heap is empty.");
    		 return heap[0];
    	 public static void main(String[] args){
    		 BinaryHeap maxHeap = new BinaryHeap(10);


    With this, we come to an end of this article on Binary Heap in Java.  Check out the Java Online Training by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. Edureka’s Java J2EE and SOA training and certification course is designed for students and professionals who want to be a Java Developer. The course is designed to give you a head start into Java programming and train you for both core and advanced Java concepts along with various Java frameworks like Hibernate & Spring.

    Got a question for us? Please mention it in the comments section of this “Java ArrayList” blog and we will get back to you as soon as possible.

    Upcoming Batches For Java Course Online
    Course NameDateDetails
    Java Course Online

    Class Starts on 28th September,2024

    28th September

    SAT&SUN (Weekend Batch)
    View Details

    Join the discussion

    Browse Categories

    webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP

    Subscribe to our Newsletter, and get personalized recommendations.

    image not found!
    image not found!

    Understand How to Implement a Binary Heap in Java