Introduction to Caching with Redis and MongoDB

Learn how to improve the performance and scalability of your application by introducing caching using Redis in combination with MongoDB.

Prerequisites

Before you begin, make sure you have the following prerequisites:

• An active MongoDB deployment.
• Redis installed and running.
• Basic knowledge of MongoDB and Redis.

1. Understanding the Need for Caching

Explore the concept of caching, its benefits, and why it is essential for improving application performance and reducing database load.

2. Introduction to Redis

Learn about Redis, an in-memory data store that is well-suited for caching, and its key-value data model. Sample code for connecting to Redis:

const redis = require('redis');
const client = redis.createClient();
        

3. Caching Strategies

Explore various caching strategies, including full-page caching, data caching, and cache expiration policies, to determine what to cache and when to invalidate cache data.

4. Integrating Redis with MongoDB

Learn how to integrate Redis with MongoDB in your application to cache frequently accessed data. Sample code for caching data:

// Cache data in Redis
client.set('cacheKey', 'cachedData', 'EX', 3600);
        

5. Retrieving Cached Data

Discover how to retrieve data from the Redis cache and, if not available, fetch it from MongoDB. Sample code for retrieving cached data:

// Retrieve data from the cache
client.get('cacheKey', (err, cachedData) => {
    if (err) throw err;
    if (cachedData) {
        // Data found in cache
    } else {
        // Data not in cache, fetch from MongoDB
    }
});
        

6. Cache Invalidation and Expiry

Learn how to handle cache invalidation and expiry to keep your cached data up to date and avoid serving stale data. Sample code for cache invalidation:

// Invalidate cached data
client.del('cacheKey', (err, reply) => {
    if (err) throw err;
    // Cache is now invalidated
});
        

7. Conclusion

You've learned the fundamentals of caching with Redis and how to use it in conjunction with MongoDB to improve your application's performance and reduce database load. Caching is a valuable technique for optimizing your application.