## How do you perform an insertion and deletion operation on a B-tree?

- Insert Operation in B-Tree.
- Delete Operation in B-Tree.
- Red-Black Tree | Set 2 (Insert)
- ScapeGoat Tree | Set 1 (Introduction and Insertion)
- Treap (A Randomized Binary Search Tree)
- Treap | Set 2 (Implementation of Search, Insert and Delete)
- How to handle duplicates in Binary Search Tree?
- Delete Operation in B-Tree.

## Is deletion of nodes easy in B+ trees?

Deletion of any node is easy because all node are found at leaf. 6. Leaf nodes are not stored as structural linked list. Leaf nodes are stored as structural linked list.

**How do I delete a B-tree key?**

Key is prefix key of another long key in trie. Unmark the leaf node. Key present in trie, having atleast one other key as prefix key. Delete nodes from end of key until first leaf node of longest prefix key.

### What is the best case complexity for deletion in B-tree?

Explanation: Therefore, searching in binary search tree has worst case complexity of O(n). In general, time complexity is O(h) where h is height of BST. Insertion: For inserting element 0, it must be inserted as left child of 1. Therefore, deletion in binary tree has worst case complexity of O(n).

### How do I remove value from trie?

**How do I delete a word from trie in Java?**

Java solution with delete() method Given a trie [“abc”, “abde”, “worb”, “xyz”, “xyzb”], to delete a word ‘word’, there are 4 cases, If ‘word’ doesn’t share any node with other words, delete all nodes of ‘word’, e.g., deleting “worb”.

## What is the time complexity of B+ tree?

In addition of the disk reads, the algorithm performs a linear search in every node read from the disk. The time complexity of each linear search is O(t). Thus, the total time complexity of the B+-tree search operation is O(t logt n).

## What is fan out in B+ tree?

This is primarily because unlike binary search trees, B+ trees have very high fanout (number of pointers to child nodes in a node, typically on the order of 100 or more), which reduces the number of I/O operations required to find an element in the tree.

**In which data structure we can delete insert element easily?**

A linked list provides efficient insertion and deletion of arbitrary elements. Deletion here is deletion by iterator, not by value. Traversal is quite fast. A dequeue provides efficient insertion and deletion only at the ends, but those are faster than for a linked list, and traversal is faster as well.

### What is a delete operation?

Deletion refers to removing an existing element from the array and re-organizing all elements of an array.

### What is fanout in database?

Fan-out itself is the process duplicating data in the database. When data is duplicated it eliminates slow joins and increases read performance. Not all is perfect with fan-out though. The difficult part of fan-out is keeping each duplicated piece up to date.

**How insertion and deletion takes place in stack?**

Insertion and deletion in stacks takes place only from one end of the list called the top. Insertion and deletion in queues takes place from the opposite ends of the list. The insertion takes place at the rear of the list and the deletion takes place from the front of the list.

## What is delete operation in oops?

Explanation: The delete operator is the reverse process of a new operator. It deallocates all the memory allocated for an object. The object can be of any type. The delete operator completely destroys an object so that the resources can be used for other purposes.

## What is the use of delete command?

Delete command is a data manipulation command which is used to remove records from a table. All records may be removed in one go, or a set of records may be deleted based on a condition.