Junior — Middle
Can you explain what a caching mechanism is and how it works?
sobes.tech AI
Answer from AI
Caching mechanism is a method of temporarily storing data or computation results in a fast-access storage to speed up repeated access and reduce load on primary data sources.
How it works:
- When a request for data is made, the system checks if the required information is in the cache.
- If the data is not present (cache miss), data is fetched from a slow source (e.g., a database or external API).
- The retrieved data is stored in the cache.
- Subsequent requests retrieve data from the cache, which is much faster.
Cache can be implemented in memory (e.g., Redis, Memcached), on disk, or in the browser (local storage).
Example: a web server caches the results of complex database queries to serve data faster on subsequent requests and reduce database load.
Important considerations:
- Cache lifetime (TTL) to prevent data from becoming outdated.
- Cache invalidation mechanisms when data changes.
- Size and replacement policy (e.g., LRU — least recently used data is removed first).