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In this post, we will see how to delete a node from binary search tree.

- Search the node
- After searching that node, delete the node.

- If node has
`no child`

- If node has
`one child`

- If node has
`two children`

.

#### If node has no child

#### If node has one children

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#### If node has two children

As you can see, we are replacing node 40 with node 50. Node 50 is minimum element in right subtree of 40 and deleting node 50 after moving as there will duplicate nodes.

**Why minimum element of right sub tree?**

Here we are using binary search tree property that tree can be represented in multiple ways.

We are using same property while deleting nodes with two children.

## Java program to delete node in Binary search tree

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package org.arpit.java2blog.binarysearchtree; public class BinarySearchTreeDeleteMain { public static class TreeNode { int data; TreeNode left; TreeNode right; TreeNode(int data) { this.data = data; } } // Get minimum element in binary search tree public static TreeNode minimumElement(TreeNode root) { if (root.left == null) return root; else { return minimumElement(root.left); } } public static TreeNode deleteNode(TreeNode root, int value) { if (root == null) return null; if (root.data > value) { root.left = deleteNode(root.left, value); } else if (root.data < value) { root.right = deleteNode(root.right, value); } else { // if nodeToBeDeleted have both children if (root.left != null && root.right != null) { TreeNode temp = root; // Finding minimum element from right TreeNode minNodeForRight = minimumElement(temp.right); // Replacing current node with minimum node from right subtree root.data = minNodeForRight.data; // Deleting minimum node from right now root.right = deleteNode(root.right, minNodeForRight.data); } // if nodeToBeDeleted has only left child else if (root.left != null) { root = root.left; } // if nodeToBeDeleted has only right child else if (root.right != null) { root = root.right; } // if nodeToBeDeleted do not have child (Leaf node) else root = null; } return root; } public static TreeNode insert(TreeNode root, TreeNode nodeToBeInserted) { if (root == null) { root = nodeToBeInserted; return root; } if (root.data > nodeToBeInserted.data) { if (root.left == null) root.left = nodeToBeInserted; else insert(root.left, nodeToBeInserted); } else if (root.data < nodeToBeInserted.data) if (root.right == null) root.right = nodeToBeInserted; else insert(root.right, nodeToBeInserted); return root; } public static void inOrder(TreeNode root) { if (root == null) return; inOrder(root.left); System.out.print(root.data + " "); inOrder(root.right); } public static void main(String[] args) { // Creating a binary search tree TreeNode rootNode = createBinarySearchTree(); System.out.println("Binary tree:"); inOrder(rootNode); System.out.println(); System.out.println("Deleting node 40 which have two children:"); TreeNode rootNodeRes = deleteNode(rootNode, 40); inOrder(rootNodeRes); } public static TreeNode createBinarySearchTree() { TreeNode rootNode = new TreeNode(40); TreeNode node20 = new TreeNode(20); TreeNode node10 = new TreeNode(10); TreeNode node30 = new TreeNode(30); TreeNode node60 = new TreeNode(60); TreeNode node50 = new TreeNode(50); TreeNode node70 = new TreeNode(70); TreeNode node5 = new TreeNode(5); TreeNode node13 = new TreeNode(13); TreeNode node55 = new TreeNode(55); insert(null, rootNode); insert(rootNode, node20); insert(rootNode, node10); insert(rootNode, node30); insert(rootNode, node60); insert(rootNode, node50); insert(rootNode, node70); insert(rootNode, node5); insert(rootNode, node13); insert(rootNode, node55); return rootNode; } } |

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Binary tree: 5 10 13 20 30 40 50 55 60 70 Deleting node 40 which have two children: 5 10 13 20 30 50 55 60 70 |

Thank you very much Arpit, very nice, clean and understandable code for newbies!

Thank you very much for nice explanation.

There is a small correction to deletion code.

// Deleting minimum node from right now

deleteNode(root.right, minNodeForRight.data);

The above statement should be assigned to root.right, else the duplicate node won’t be removed.

Thanks,

Kasi