Insertion in a Binary Tree in level order Last Updated : 24 Mar, 2025 Comments Improve Suggest changes Like Article Like Report Given a binary tree and a key, the task is to insert the key into the binary tree at the first position available in level order manner.Examples:Input: key = 12 Output: Explanation: Node with value 12 is inserted into the binary tree at the first position available in level order manner.Approach:The idea is to do an iterative level order traversal of the given tree using queue. If we find a node whose left child is empty, we make a new key as the left child of the node. Else if we find a node whose right child is empty, we make the new key as the right child. We keep traversing the tree until we find a node whose either left or right child is emptyBelow is the implementation of the above approach: C++ // C++ program to insert element (in level order) // in Binary Tree #include <iostream> #include <queue> using namespace std; class Node { public: int data; Node* left; Node* right; Node(int x) { data = x; left = right = nullptr; } }; // Function to insert element in binary tree Node* InsertNode(Node* root, int data) { // If the tree is empty, assign new // node address to root if (root == nullptr) { root = new Node(data); return root; } // Else, do level order traversal until we find an empty // place, i.e. either left child or right child of some // node is pointing to NULL. queue<Node*> q; q.push(root); while (!q.empty()) { // Fron a front element in queue Node* curr = q.front(); q.pop(); // First check left if left is null // insert node in left otherwise chaeck for right if (curr->left != nullptr) q.push(curr->left); else { curr->left = new Node(data); return root; } if (curr->right != nullptr) q.push(curr->right); else { curr->right = new Node(data); return root; } } } // Inorder traversal of a binary tree void inorder(Node* curr) { if (curr == nullptr) return; inorder(curr->left); cout << curr->data << ' '; inorder(curr->right); } int main() { // Constructing the binary tree // 10 // / \ // 11 9 // / / \ // 7 15 8 Node* root = new Node(10); root->left = new Node(11); root->right = new Node(9); root->left->left = new Node(7); root->right->left = new Node(15); root->right->right = new Node(8); int key = 12; root = InsertNode(root, key); // After insertion 12 in binary tree // 10 // / \ // 11 9 // / \ / \ // 7 12 15 8 inorder(root); return 0; } Java // Java program to insert element (in level order) // in Binary Tree import java.util.LinkedList; import java.util.Queue; class Node { int data; Node left, right; Node(int x) { data = x; left = right = null; } } class GfG { // Function to insert element // in binary tree static Node InsertNode(Node root, int data) { // If the tree is empty, assign new node // address to root if (root == null) { root = new Node(data); return root; } // Else, do level order traversal until we find an empty // place, i.e. either left child or right child of some // node is pointing to NULL. Queue<Node> q = new LinkedList<>(); q.add(root); while (!q.isEmpty()) { // Fron a front element in queue Node curr = q.poll(); // First check left if left is null insert // node in left otherwise chaeck for right if (curr.left != null) q.add(curr.left); else { curr.left = new Node(data); return root; } if (curr.right != null) q.add(curr.right); else { curr.right = new Node(data); return root; } } return root; } // Inorder traversal of a binary tree static void inorder(Node curr) { if (curr == null) return; inorder(curr.left); System.out.print(curr.data + " "); inorder(curr.right); } public static void main(String[] args) { // Constructing the binary tree // 10 // / \ // 11 9 // / / \ // 7 15 8 Node root = new Node(10); root.left = new Node(11); root.right = new Node(9); root.left.left = new Node(7); root.right.left = new Node(15); root.right.right = new Node(8); int key = 12; root = InsertNode(root, key); // After insertion 12 in binary tree // 10 // / \ // 11 9 // / \ / \ // 7 12 15 8 inorder(root); } } Python # Python program to insert element (in level order) # in Binary Tree from collections import deque class Node: def __init__(self, x): self.data = x self.left = None self.right = None # Function to insert element # in binary tree def InsertNode(root, data): # If the tree is empty, assign new # node address to root if root is None: root = Node(data) return root # Else, do level order traversal until we find an empty # place, i.e. either left child or right child of some # node is pointing to NULL. q = deque() q.append(root) while q: # Fron a front element # in queue curr = q.popleft() # First check left if left is null # insert node in left otherwise check # for right if curr.left is not None: q.append(curr.left) else: curr.left = Node(data) return root if curr.right is not None: q.append(curr.right) else: curr.right = Node(data) return root # Inorder traversal of a binary tree def inorder(curr): if curr is None: return inorder(curr.left) print(curr.data, end=' ') inorder(curr.right) if __name__ == "__main__": # Constructing the binary tree # 10 # / \ # 11 9 # / / \ # 7 15 8 root = Node(10) root.left = Node(11) root.right = Node(9) root.left.left = Node(7) root.right.left = Node(15) root.right.right = Node(8) key = 12 root = InsertNode(root, key) # After insertion 12 in binary tree # 10 # / \ # 11 9 # / \ / \ # 7 12 15 8 inorder(root) C# // C# program to insert element (in level order) // in Binary Tree using System; using System.Collections.Generic; class Node { public int data; public Node left, right; public Node(int x) { data = x; left = right = null; } } class GfG { // Function to insert element in binary tree static Node InsertNode(Node root, int data) { // If the tree is empty, assign new node // address to root if (root == null) { root = new Node(data); return root; } // Else, do level order traversal until we find an empty // place, i.e. either left child or right child of some // node is pointing to NULL. Queue<Node> q = new Queue<Node>(); q.Enqueue(root); while (q.Count > 0) { // Fron a front element in queue Node curr = q.Dequeue(); // First check left if left is null // insert node in left otherwise check // for right if (curr.left != null) q.Enqueue(curr.left); else { curr.left = new Node(data); return root; } if (curr.right != null) q.Enqueue(curr.right); else { curr.right = new Node(data); return root; } } return root; } // Inorder traversal of a binary tree static void inorder(Node curr) { if (curr == null) return; inorder(curr.left); Console.Write(curr.data + " "); inorder(curr.right); } static void Main(string[] args) { // Constructing the binary tree // 10 // / \ // 11 9 // / / \ // 7 15 8 Node root = new Node(10); root.left = new Node(11); root.right = new Node(9); root.left.left = new Node(7); root.right.left = new Node(15); root.right.right = new Node(8); int key = 12; root = InsertNode(root, key); // After insertion 12 in binary tree // 10 // / \ // 11 9 // / \ / \ // 7 12 15 8 inorder(root); } } JavaScript // JavaScript program to insert element // (in level order) in Binary Tree class Node { constructor(x) { this.data = x; this.left = null; this.right = null; } } // Function to insert element in binary tree function InsertNode(root, data) { // If the tree is empty, assign new // node address to root if (root == null) { root = new Node(data); return root; } // Else, do level order traversal until we find an empty // place, i.e. either left child or right child of some // node is pointing to NULL. let q = []; q.push(root); while (q.length > 0) { let curr = q.shift(); // First check left if left is null // insert node in left otherwise chaeck for right if (curr.left !== null) q.push(curr.left); else { curr.left = new Node(data); return root; } if (curr.right !== null) q.push(curr.right); else { curr.right = new Node(data); return root; } } } // Inorder traversal of a binary tree function inorder(curr) { if (curr == null) return; inorder(curr.left); process.stdout.write(curr.data + ' '); inorder(curr.right); } // Constructing the binary tree // 10 // / \ // 11 9 // / / \ // 7 15 8 let root = new Node(10); root.left = new Node(11); root.right = new Node(9); root.left.left = new Node(7); root.right.left = new Node(15); root.right.right = new Node(8); let key = 12; root = InsertNode(root, key); // After insertion 12 in binary tree // 10 // / \ // 11 9 // / \ / \ // 7 12 15 8 inorder(root); Output7 11 12 10 15 9 8 Time Complexity: O(n) where n is the number of nodes.Auxiliary Space: O(n) Comment More infoAdvertise with us Next Article Deletion in a Binary Tree Y Yash Singla Improve Article Tags : Misc Tree DSA Practice Tags : MiscTree Similar Reads Binary Tree Data Structure A Binary Tree Data Structure is a hierarchical data structure in which each node has at most two children, referred to as the left child and the right child. It is commonly used in computer science for efficient storage and retrieval of data, with various operations such as insertion, deletion, and 3 min read Introduction to Binary Tree Binary Tree is a non-linear and hierarchical data structure where each node has at most two children referred to as the left child and the right child. The topmost node in a binary tree is called the root, and the bottom-most nodes are called leaves. Introduction to Binary TreeRepresentation of Bina 15+ min read Properties of Binary Tree This post explores the fundamental properties of a binary tree, covering its structure, characteristics, and key relationships between nodes, edges, height, and levelsBinary tree representationNote: Height of root node is considered as 0. Properties of Binary Trees1. Maximum Nodes at Level 'l'A bina 4 min read Applications, Advantages and Disadvantages of Binary Tree A binary tree is a tree that has at most two children for any of its nodes. There are several types of binary trees. To learn more about them please refer to the article on "Types of binary tree" Applications:General ApplicationsDOM in HTML: Binary trees help manage the hierarchical structure of web 2 min read Binary Tree (Array implementation) Given an array that represents a tree in such a way that array indexes are values in tree nodes and array values give the parent node of that particular index (or node). The value of the root node index would always be -1 as there is no parent for root. Construct the standard linked representation o 6 min read Maximum Depth of Binary Tree Given a binary tree, the task is to find the maximum depth of the tree. The maximum depth or height of the tree is the number of edges in the tree from the root to the deepest node.Examples:Input: Output: 2Explanation: The longest path from the root (node 12) goes through node 8 to node 5, which has 11 min read Insertion in a Binary Tree in level order Given a binary tree and a key, the task is to insert the key into the binary tree at the first position available in level order manner.Examples:Input: key = 12 Output: Explanation: Node with value 12 is inserted into the binary tree at the first position available in level order manner.Approach:The 8 min read Deletion in a Binary Tree Given a binary tree, the task is to delete a given node from it by making sure that the tree shrinks from the bottom (i.e. the deleted node is replaced by the bottom-most and rightmost node). This is different from BST deletion. Here we do not have any order among elements, so we replace them with t 12 min read Enumeration of Binary Trees A Binary Tree is labeled if every node is assigned a label and a Binary Tree is unlabelled if nodes are not assigned any label. Below two are considered same unlabelled trees o o / \ / \ o o o o Below two are considered different labelled trees A C / \ / \ B C A B How many different Unlabelled Binar 3 min read Types of Binary TreeTypes of Binary TreeWe have discussed Introduction to Binary Tree in set 1 and the Properties of Binary Tree in Set 2. In this post, common types of Binary Trees are discussed. Types of Binary Tree based on the number of children:Following are the types of Binary Tree based on the number of children: Full Binary TreeDe 7 min read Complete Binary TreeWe know a tree is a non-linear data structure. It has no limitation on the number of children. A binary tree has a limitation as any node of the tree has at most two children: a left and a right child. What is a Complete Binary Tree?A complete binary tree is a special type of binary tree where all t 7 min read Perfect Binary TreeWhat is a Perfect Binary Tree? A perfect binary tree is a special type of binary tree in which all the leaf nodes are at the same depth, and all non-leaf nodes have two children. In simple terms, this means that all leaf nodes are at the maximum depth of the tree, and the tree is completely filled w 4 min read Like