B+ Tree Data Structure

   Last Updated: 06 October, 2024       🕓  3 Mins

A B+ Tree is another version of the B tree data structure that allows for efficient insertion, deletion, storage, and search operations. In the B+ Tree, all the leaf nodes store the actual data (value), and the internal nodes are used only for indexing (like a table of contents).

All the leaf nodes of a B+ Tree are linked together, which provides find a range of values quickly.

Features of B+ Tree

• Balanced Tree: A B+ tree is a Balanced Tree which means all the leaf nodes maintain the same level. If any insertion or deletion happen in the tree, it automatically adjusts itself to maintain a balanced structure.
• Data Storage: All the leaf nodes of a B+ tree store the actual data (value).
• Role of Internal Nodes: In the B+ Tree, all the internal nodes store only keys and addresses to child nodes.
• Ordered: B+ Tree maintains the order of the keys in the tree, making it simple to perform range based queries and other operations that need sorted data.
• Minimum Degree: The minimal degree (t) of a B+ tree is ⌈m/2⌉.
• Disk-oriented: A B+ Tree is the best choice for disk-based storage systems because it provides efficient storage and retrieval of data from the disk.
• Number of child nodes: In a B+ Tree, each internal node can have any number of child nodes. This reduces the height of the tree while improving the efficiency of searching and indexing operations.

In a B+ Tree, all the internal nodes can have any number of child nodes. This reduces the height of the tree and increases the efficiency of searching and indexing operations.