7 Merge K Sorted Linked Lists in Java 🔥 | Priority Queue Explained from Scratch (Interview Ready)

🚀 **Merge K Sorted Linked Lists in Java — Explained Step by Step (Beginner to Interview Level)** In this video, we solve the classic **Merge K Sorted Linked Lists** problem using a **Priority Queue (Min Heap)** — one of the most frequently asked concepts in **FAANG & product-based company interviews**. If you’ve ever been confused about: ❌ How PriorityQueue actually works ❌ Why Min Heap is the best choice here ❌ How multiple linked lists are merged efficiently ❌ What happens internally during each step 👉 This video clears it all — **from absolute basics to a compiler-ready Java solution**. --- ✅ What you’ll learn in this video: • Problem understanding with real examples • Why brute force fails • What a Priority Queue really is (no jargon) • How Min Heap helps merge K lists efficiently • Full Java code (copy-paste & run) • Edge cases explained • Dry run animation (step-by-step merge process) • Time & Space Complexity • Interview tips & common mistakes --- ⏱️ Perfect for: ✔️ DSA beginners ✔️ Java learners ✔️ Interview preparation (Amazon / Microsoft / Google style) ✔️ Anyone scared of PriorityQueue --- 📌 **Code + explanation are 100% beginner-friendly. No assumptions made.** 👍 If this video helped you: • Like • Subscribe • Comment “MERGED” — I reply to learners 🔔 New DSA videos every week — explained slowly & clearly. 📌 Subscribe & follow the playlist to build DSA the right way — from the system level. https://www.youtube.com/playlist?list=PL0n99JuVgkzlaz_g5cM2b5r9lOFD5ghy0 📌Chapters 00:00 - Problem Statement 00:31 - Algorithm 04:58 - Dry Run (k=2) 07:58 - Node Definition 08:04 - Priority Queue 10:46 - Creating the Dummy Node 11:29 - Adding Elements to Min Heap 14:24 - Full Code 14:50 - Create a Linked List 15:50 - mergeKLinkedList() Function 19:09 - Print the List 19:53 - main() Method 22:10 - Output 22:46 - Outro Like, share, and subscribe if this clarified a concept that confused you earlier.