Now that you have a clear idea of what we are going to do let’s start the implementation. We also make sure to store the retrieved data in the cache so that the next time the same request is received, we can simply send the cached data to the user faster. However, if the data is not stored in the cache, which we call a cache miss, we have to first retrieve the data from the database or the external API and send it to the client. If yes, we can quickly retrieve data from Redis and send the response. When we receive a user request to a route that has caching enabled, we first check if the requested data is already stored in the cache. The process of caching with Redis is quite simple. Now, let’s start with the primary focus of this tutorial: using Redis for caching in a NodeJS application. You can implement FIDO (first-in, first-out) queues or create delayed queues to delay task implementation until a pre-scheduled time. You can use Redis to queue application tasks that take a long time to complete. Using Redis could significantly improve the system’s performance while making it easier to process users’ data, including credentials, recent activities, and even a shopping cart like system. If your application uses sessions to track authenticated users and manage user-specific data, Redis is a perfect fit to use as session storage. Other use cases in real-time analytics include real-time inventory management systems and gaming leaderboards. Redis even provides an AI-supported faster transaction scoring system and faster statistical models to perform this use case better. It makes Redis a perfect candidate for applications that rely on real-timeįor example, you can use Redis to store user identities and their transaction details when implementing a real-time fraud detection service. Redis promises sub-millisecond long data processing operations.
In this tutorial, we are going to see how to do caching with Redis and Node.js.
Its key-value data storage is another plus because it makes data storage and retrieval much simpler.
It makes Redis the perfect choice for caching. Since Redis is an in-memory database, its data access operations are faster than any other disk-bound database could deliver.
We would then periodically update the cache so that users can see updated information. It is here where caching excels as we can process the data once, store it on a cache and then retrieve it later directly from the cache without doing all those expensive operations. Sometimes, queries require several operations like retrieving data from a database, performing calculations, retrieving additional data from other services, etc., that drag our performance down. It is especially the case for expensive (in time) operations.Īs a back-end developer, our task is to complete the clients’ requests as fast as possible. The goal of caching is speeding up data access operations better than a database, or remote server could allow. One of the most popular use cases of Redis is caching.Ĭaching is the process of storing copies of data in caches to allow applications to access and retrieve data faster.
Redis is best in situations that require data to be retrieved and delivered to the client in the least amount of time. Supported data structures give Redis the versatility for many use cases. , including strings, lists, hashes, sets, and sorted sets. Redis has support for storing multiple data structures and data types Redis supports disk-persistent data storage, too, if needed. You can think of it as a No-SQL database, which stores data as a key-value pair in the system memory. Redis is an open-source (BSD licensed), in-memory data structure store used as a database, cache, and message broker. We’ll also use Redis to create a simple cache for a Node application to see how it impacts its performance In this tutorial, we are going to give you a quick introduction to Redis. Though its most popular use case is caching, Redis has many other use cases where you can take advantage of its blazing-fast in-memory database. Has become a common occurrence in a Node.js application stack. Beginner’s Guide to Redis and Caching with NodeJS Updated on Nov 30, 2020