Hash Tables in Caching (Redis, Memcached)
📖 Scenario: You are learning how caching systems like Redis and Memcached use hash tables to store and retrieve data quickly. Imagine a simple cache that holds user session data for a website. Each session has a unique session ID and some user information.
🎯 Goal: Build a simple representation of a cache using a hash table (dictionary) that stores session IDs as keys and user names as values. Then, set a limit for the cache size, add new sessions, and finally retrieve a session's user name using the session ID.
📋 What You'll Learn
Create a dictionary called
cache with three session ID and user name pairs.Create a variable called
max_cache_size and set it to 5.Add a new session ID and user name pair to the
cache dictionary.Retrieve the user name for a given session ID from the
cache dictionary.💡 Why This Matters
🌍 Real World
Caching systems like Redis and Memcached use hash tables to quickly store and retrieve data such as user sessions, improving website speed and performance.
💼 Career
Understanding hash tables in caching is important for roles in backend development, system design, and performance optimization.
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