Java HashMap Implementation: hashCode, equals, and collision handling

Ever wondered how Java implements HashMap under the hood? I was curious too, so I deep dived into it and built one from scratch. Here's the gist of what's actually happening 👇 - hashCode() → decides WHICH bucket - equals()  → finds the exact key inside it - LinkedList → handles collisions (chaining) - Load factor 0.75 → resizes before chains get slow - Java 8+   → chain > 8 nodes? Upgrades to Red-Black Tree The rule most devs forget: Override equals() without hashCode()? Your map silently breaks. Duplicates. Nulls. No errors. Full deep dive + code walkthrough in the article below. https://lnkd.in/gvk9MrqP #Java #DataStructures #SoftwareEngineering #Programming

quite easy to understand blog.

the treeify threshold at 8 is such an underappreciated design choice. we had a case where poorly distributed hashCodes caused chains of 15+ entries in a single bucket and the lookup went from O(1) to basically O(n). after we fixed the hashCode implementation the red-black tree conversion was still saving us in edge cases. one thing worth mentioning is the untreeify threshold at 6 during resize which prevents the map from constantly flipping between linked list and tree. also the capacity always being power of 2 lets them use bitwise AND instead of modulo for bucket index which is a neat performance trick most people miss

Great breakdown, Kumari Palak! One thing that always fascinates me is the 'Treeification' threshold. When the bucket switches from a LinkedList to a Red-Black Tree, how does the Comparable interface impact the performance if the keys don't implement it? Would love to hear your thoughts on that scenario!

Insightful, Thanks for sharing !!

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