It is also so simple to start the Redis CLI with the second command. We can then start the Redis server with the following command. Suppose we already have Redis installed locally, or, we have, as mentioned above, access to a Redis cloud solution.
#Nodejs cache how to#
There is also an amazing, short guide on how to install Redis on a Linux machine from, which is very easy to follow, so check it out.
usr/bin/ruby -e "$(curl -fsSL )"Īfter you have Homebrew installed, you can install Redis by using this command. If you do not have Homebrew installed on your Mac, you can run the following command on your terminal to install it.
#Nodejs cache mac#
Redis can be installed on your Mac using Homebrew. The installation process of Redis is not the purpose of this article, so I will not dwell on that point.
#Nodejs cache windows#
If you are a Windows user, you can check this short guide from in order to get started with Redis on Windows. If you already have Redis installed on your local mache or if you are using a Redis cloud solution, you can skip this step. More specifically, I will use GitHub's API in order to fetch the number of a user's public repositories.
Today, I am going to implement a very simple cache mechanism on a Node.js application that requests data from a third-party API. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. Before we start describing how we can implement caching in Node.js applications, let's first see what how Redis.io defines their database. What is surprising, is that it stores all its data in RAM and promises highly optimized data reads and writes. Redis is a high-performance, open source NoSQL database primarily used as a caching solution for various types of applications. You may also like: Where Is My Cache? Architectural Patterns for Caching Microservices What Is Redis? This will make our application much faster and more performant. In this way, we do not have to wait for the API call to complete, as we already have them, and we can retrieve them from cache. if we have some data coming from a third-party API, and that data won't be changed in the "near future," we can store them in cache once we retrieve them and avoid unnecessary service calls. With a few words, we can say that cache is the process with which data is stored temporarily at a storage component area in order to be used in future mutch more faster. Through this short and introductory article, I would like to mention how caching can be achieved in Node.js applications using Redis and how our applications can benefit from it in terms of performance.
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