Operations on B+ Trees
- Search: Searching in a B+ tree involves traversing the tree from the root node to the leaf node, and performing a binary search to locate the desired key.
- Insertion: Inserting a new key-value pair into a B+ tree begins with a search operation to find the appropriate leaf node. If the leaf node has space, the key-value pair is inserted. Otherwise, the node is split, and the insertion is propagated upwards.
- Deletion: Deleting a key-value pair from a B+ tree follows a similar process to insertion. After locating the leaf node containing the key to be deleted, the key is removed. If the node becomes underflowed, it may borrow keys from sibling nodes or merge with them to maintain balance.
B+ Tree in Python
In computer science, data structures are crucial in efficiently managing and organizing data. Among these, the B+ tree is a powerful and important data structure, widely used in databases and file systems. In this article, we will discuss the concept of B+ trees, exploring their structure, operations, and implementation in Python.
Table of Content
- What is a B+ Tree?
- Key Characteristics of B+ Trees
- Operations on B+ Trees
- Searching in B+ Tree
- Insertion in B+ Tree
- Deletion in B+ Tree
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