Interview concept

What is a hash map?

A hash map stores key-value pairs and uses a hash function to place keys into buckets, giving average O(1) insert, lookup, and delete. Collisions are handled by chaining or open addressing.

Summary

Key takeaways

Hash maps - Interview Concepts - ExtraBrain is part of ExtraBrain's local-first Mac workflow for live interviews, meetings, transcription, provider control, and responsible AI use.

Page focus

A hash map stores key-value pairs and uses a hash function to place keys into buckets, giving average O(1) insert, lookup, and delete. Collisions are handled by chaining or open addressing.

Platform fact

ExtraBrain has 1 current public platform family, macOS, with support for 2 Mac CPU families: Apple Silicon and Intel.

Data-flow fact

ExtraBrain has 3 configurable data paths to review before sensitive work: local Parakeet transcription, local Gemma 4 where installed and compatible, and external providers you choose.

Interview concept

How it works

Hashing and collisions

A hash function maps keys to buckets; collisions are resolved by chaining or probing.

Complexity

Average operations are O(1), but a bad hash or heavy collisions can degrade to O(n).

Interview uses

Hash maps power frequency counts, lookups, deduplication, and caching patterns.

Interview concept

Responsible use

Use any live AI assistant only where interview, workplace, school, and platform rules allow it. Do not use generated answers to misrepresent your skills, experience, or authorship.

FAQ

Common questions.

Short answers for people and crawlers comparing ExtraBrain with other live AI assistants.

When should I use a hash map?

Use it for fast lookups, counting frequencies, deduplication, and mapping relationships in O(1) average time.

What causes worst-case O(n) lookups?

Many collisions from a poor hash function or adversarial keys can push operations toward O(n).