Most students just USE Max Priority Queue
Very few can IMPLEMENT it from scratch
In this DSA tutorial, I implemented a Max Priority Queue using Max Heap in Java — without using any built-in classes.
Every helper method, every condition, and every swap is written and explained step by step with visual dry runs and diagrams.
This is industry-standard logic — exactly what interviewers expect when they ask “Implement Priority Queue without libraries.”
TIMESTAMPS (Max Priority Queue Mastery)
0:00 - What is a Max Priority Queue? (Logic & Use Cases)
2:30 - Setting Up the Max Priority Queue Class in IntelliJ IDEA
3:00 - Building Helper Methods for Binary Heap Navigation
3:14 - Formula: How to Get Parent Index
3:41 - Getting Left & Right Child Indices (Array Implementation)
4:24 - Data Validation: hasParent, hasLeftChild & hasRightChild
5:58 - The Swap Logic: Interchanging Nodes in the Heap
6:47 - The Enqueue Operation: Implementing the Insert Method
9:10 - HeapifyUp Explained (Bubble Up / Percolate Up Logic)
11:09 - The Dequeue Operation: Removing the Max Element
13:50 - HeapifyDown Explained (Sink Down / Percolate Down)
17:09 - Peek Method: Fetching the Top Element (Max Value)
17:42 - Debugging Tool: How to Print the Priority Queue
18:30 - Main Method Implementation & Live Testing
19:00 - Testing Inserts & Visualizing the Max Heap
19:23 - Verification: Peeking the Highest Priority Element
19:44 - Deleting the Root: Max Value Removal Test
20:13 - Final Results & Time Complexity — SUCCESS!
In this video, you will learn:
What a Max Priority Queue really is
Difference between Min PQ and Max PQ
How Heap is stored inside an Array
Parent, Left & Right child index formulas
Insert (Enqueue) using Heapify Up
Remove Max (Dequeue) using Heapify Down
Handling Queue Full & Queue Empty cases
Helper methods like hasParent, swap, peek, print
Time & Space Complexity explained clearly
Perfect for DSA interviews, FAANG prep, and real logic building.
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