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Module 3: Advanced Hash Table Applications

Master advanced hash table techniques and learn how to solve complex problems efficiently using hash-based data structures.

Learning Objectives

Core Concepts

  • Advanced hash table optimization techniques
  • Common hash table patterns and use cases
  • Time and space complexity analysis
  • Problem-solving strategies with hash tables

Key Skills

  • Identify hash table-suitable problems
  • Implement efficient hash-based solutions
  • Handle collisions and edge cases
  • Optimize space usage

Common Applications

Frequency Counting

Track occurrences of elements in arrays, strings, or streams of data.

Caching

Store frequently accessed data for quick retrieval.

De-duplication

Efficiently remove or identify duplicate items.

Hash Table Data Structures in JavaScript

Data Structure Main Features When to Use Performance
Object
  • Built-in hash-based structure
  • String/Symbol keys only
  • Unordered
Simple key-value mapping with string keys Average O(1) for access, insertion, deletion
Map
  • Can use any value as key
  • Maintains insertion order
  • Iterable
When key order matters or when using non-string keys Average O(1) for access, insertion, deletion
Set
  • Collection of unique values
  • No key-value pairs
  • Maintains insertion order
When you need to track unique values without associated keys Average O(1) for access, insertion, deletion
WeakMap / WeakSet
  • Allows for automatic garbage collection
  • Only objects as keys
  • Not iterable
When tracking object references that should be garbage collected Average O(1) for access, insertion, deletion