Understanding Java HashMap Internal Mechanics

Sep 7, 2024

Java HashMap Internal Working - Lecture Notes

Introduction

  • Primary Focus: Understanding how HashMap works internally in Java.
  • Common Interview Question: Often asked in Java developer interviews.

HashMap Structure

  • Initial Capacity: Default is 16 buckets.
  • Bucket: Each bucket is implemented as a linked list.
    • Node Structure: Contains key, value, hash, and next reference.

How put Method Works

  1. Create Map Object: Initializes with 16 buckets (indexed from 0 to 15).
  2. Adding Elements:
    • Example: Adding employee objects into the map.
    • Hash Calculation: Uses a hash function on the key to determine the bucket.
    • Index Calculation: Uses modulus operator to find the index.
  3. Collision Handling:
    • Hashing Collision: Occurs when multiple nodes share the same index.
    • Equal Check: Check if the nodes are identical using equals method.
    • Node Placement: If different, add as a next node in the linked list.
    • Replacement: If same, replace the existing node.
  4. Null Keys:
    • Always placed in bucket index 0.

Java 8 Improvements

  • Linked List to Balanced Tree:
    • Converts to a balanced tree after reaching a certain threshold to optimize performance.
    • More efficient handling of collisions when more than 5 nodes exist in a bucket.

Summary of Operations

  • Adding a Key-Value Pair:
    • Calculate hash from the key.
    • Identify the bucket index using hash.
    • Place node in the appropriate bucket.
  • Collision Handling:
    • Use equals method to check node uniqueness.
    • Replace or add node based on equality check.

Diagrammatic Understanding

  • Flow Diagram:
    • Illustrates the steps from adding a key-value pair to handling collisions.
    • Provides a visual representation of node placement and linked list structure.

Conclusion

  • Key Interview Takeaway: Understanding node handling, especially collision handling, is crucial.
  • Advanced Topic: Java 8 optimization with balanced trees is worth additional exploration.

End of Lecture

  • The session concludes with an invitation to explore further topics in Java programming.