REDIS

Introduction to the in-memory datastore Redis

Redis is a C programming written REmote DIctionary Server developed in 2006. Redis read and write operations are very fast because it stores the data in memory. The data can also be stored on the disk and written back to the memory. It is often called a data structure server because keys can contain strings, hashes, lists, sets, sorted sets, bitmaps etc.

Let's talk about redis with example.Consider the typical flow of a user search on the web. The request travels to the server, which then queries the database, retrieves the necessary data, and finally sends a response to the user. However, if the user refreshes the page or triggers another request, this process repeats, incurring additional time for querying the database. 

This is where Redis comes into picture.This is where Redis comes into play. In this optimized flow, when a user initiates a search, the server queries the database and simultaneously stores the results in Redis. Now, when the user repeats the search, the server can quickly respond using the data stored in Redis. The key advantage here is that Redis, being an in-memory store, boasts an algorithmic time complexity of O(1). Remeber the time complexity O(1) considered the fastest possible time complexity.

How to setup of redis

=> First setup redis in our OS

=> link https://redis.io/docs/install/install-redis/

Conclusion

Redis, with its in-memory efficiency and O(1) time complexity, emerges as a powerful tool for optimizing web applications. Utilizing Redis for caching not only accelerates response times but also enhances overall performance.

#Redis #Optimization #Nodejs #happycoding