Why Trie Exists and What Hash Map Cannot Do for Strings
📖 Scenario: Imagine you are building a search feature for a phone contact list app. You want to quickly find all contacts starting with certain letters as the user types. A simple hash map can find exact matches fast, but it struggles with partial matches or prefix searches.We will explore why a Trie (prefix tree) is better for this task and what problems a hash map cannot solve easily for strings.
🎯 Goal: Build a simple Trie data structure to store a list of contact names. Then, search for all contacts starting with a given prefix. This shows why Trie is useful beyond what a hash map can do.
📋 What You'll Learn
Create a Trie node structure with children and end-of-word marker
Insert multiple contact names into the Trie
Search for all contacts starting with a given prefix
Print the list of matched contacts
💡 Why This Matters
🌍 Real World
Tries are used in search engines, autocomplete features, and spell checkers where prefix matching is common.
💼 Career
Understanding Tries helps in roles involving search optimization, text processing, and building efficient string-based data structures.
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