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LetsGit.IT/Categories/Data Structures
Data Structuresmedium

How does a HashMap work internally?

Tags
#hashmap#hashing#collision#internal-working
Back to categoryPractice quiz

Answer

A HashMap stores key–value pairs in buckets. It uses key.hashCode() to pick a bucket, and equals() to find the right key inside that bucket. Collisions are kept in a list/tree; when the load factor threshold is exceeded it resizes and rehashes to keep average lookups near O(1).

Advanced answer

Deep dive

Expanding on the short answer — what usually matters in practice:

  • Context (tags): hashmap, hashing, collision, internal-working
  • Complexity: compare typical operations (average vs worst-case).
  • Invariants: what must always hold for correctness.
  • When the choice is wrong: production symptoms (latency, GC, cache misses).
  • Explain the "why", not just the "what" (intuition + consequences).
  • Trade-offs: what you gain/lose (time, memory, complexity, risk).
  • Edge cases: empty inputs, large inputs, invalid inputs, concurrency.

Examples

A tiny example (an explanation template):

// Example: discuss trade-offs for "how-does-a-hashmap-work-internally?"
function explain() {
  // Start from the core idea:
  // It uses a hash function to compute an index into an array of buckets. Collisions are handl
}

Common pitfalls

  • Too generic: no concrete trade-offs or examples.
  • Mixing average-case and worst-case (e.g., complexity).
  • Ignoring constraints: memory, concurrency, network/disk costs.

Interview follow-ups

  • When would you choose an alternative and why?
  • What production issues show up and how do you diagnose them?
  • How would you test edge cases?

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