B+ Tree Explained | Search, Insertion & Deletion
In this video, we’ll break down one of the most important data structures in databases and file systems — the B+ Tree. You’ll learn how a B+ Tree is structured, how search, insertion, and deletion work step by step, and why it’s widely used in systems like MySQL indexes and the NTFS file system.
We’ll go through real examples with diagrams to make concepts crystal clear — including how to handle splits, underflow, borrowing, and merging in deletion. By the end, you’ll understand exactly why B+ Trees are the backbone of efficient database indexing.
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⚠️ Note: Different books define the order of a B+ Tree differently. In this video, we use the DBMS / Knuth style, where order m means a node can have at most m children and at most m − 1 keys.
⏱️ Timestamps:
00:00 – Introduction to B+ Trees
00:57 – Structure of a B+ Tree
02:42 – Search Operation in B+ Trees
03:29 – Insertion in B+ Trees
04:37 – Deletion in B+ Trees (merge & borrow cases)
06:37 – Summary & Closing (Key Takeaways)
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