In today’s DSA Tutorial (AVL Series — Part 6), I implemented Searching in an AVL Tree using Java and explained why AVL search is always faster than normal BST search.

You will learn:
How searching works in any BST
Why AVL Tree guarantees O(log n) search every time
Full Java code implementation of AVL search
Line-by-line explanation of the recursive search logic
How balance factor & height indirectly improve search speed
Why AVL Tree never becomes skewed like BST
Perfect dry-run to visualize the search path

This video is perfect for:
Java + DSA students
Coding interview prep
Anyone learning balanced trees
University labs, assignments, and viva preparation

By the end, you'll understand exactly how AVL Tree maintains fast searching, no matter what input you give.

AVL Series Progress:
Part 1 → Why BST fails & AVL fixes it
Part 2 → Rotation Cases (LL, RR, LR, RL)
Part 3 → AVL Creation in Java
Part 4 → AVL Insertion
Part 5 → Inorder Traversal
Part 6 → Searching in AVL Tree (this video)

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