![graphql python mongodb graphql python mongodb](https://i.stack.imgur.com/7ZPLa.png)
Now let’s start by creating a Pusher application.
#GRAPHQL PYTHON MONGODB CODE#
JavaScript (intermediate level), in particular, Node.js and React.įor reference, here is a GitHub repository with all the code shown in this tutorial and instructions to run it.Here’s what you need to have installed to follow this tutorial: In addition, you’ll see how a solution like this one, could be a good alternative to the realtime database capabilities of Firebase. Of course, a scenario where multiple applications are writing to the same database could be more realistic, but for learning purposes, I’ll use a simple application. Here’s the diagram that describes the above process: The Node.js script also receives these changes using change streams, parsing them and publishing them to a Pusher channel so the React application can consume them. Under the hood, it communicates to an API implemented in Node.js that saves the changes to a database. The application that you’ll be building allows you to add and delete tasks.
#GRAPHQL PYTHON MONGODB HOW TO#
In this tutorial, you’re going to learn how to stream, in realtime, the changes made to a collection in a MongoDB database to a React app using a Node.js server. However, in MongoDB, change streams allows you to listen for changes in collections without any complexity.Ĭhange streams are available since MongoDB 3.6 and they work by reading the oplog, a capped collection where all the changes to the data are written and functions as the database replication log.
![graphql python mongodb graphql python mongodb](https://cdn-media-1.freecodecamp.org/images/1*rhpr5EnxrphBwqyTus0jmg.png)
Getting data changes from a database in realtime is not as easy as you may think. You should have some knowledge of Node and React, and a basic understanding of MongoDB management tasks. You will need MongoDB 3.6+ and Node.js 6+ installed on your machine.