![]() This library contains all the necessary methods to work with JSON. To test the REST API, spin up the development server and make API requests to the defined endpoints: node server. To convert the MongoDB data into the JSON format, we need to import the json library. However, we might not want to change anything to our documents. This is a very common way to develop a REST API, as we may want to modify these objects before converting them to JSON (using Jackson for example). The Google Services Plugin cannot function without it. const User = require( './models/user.model') Ĭonst `) Overview In this previous article, weve seen how to retrieve BSON documents as Java objects from MongoDB. Google-Json file from mongoDb Ask Question Asked today Modified today Viewed 3 times 0 I am trying to run my project after connecting it to mongoDb but I recieve an error saying: 'File google-services.json is missing. Define the user registration controller.For further information on Pymongo, you can look into its documentation manual. In the root directory, create a controllers/userControllers.js file and add the following code: jsonexport docs.tojson () return JSON data print ('nJSON data:', jsonexport) These 7 steps can be used to successfully export MongoDB data in JSON file format with the help of Pymongo driver. The controller functions will manage registration and login they’re a substantial part of this sample program. A JSON Web Token consists of three distinct parts: the header, the payload, and the signature. A REST API can use JWTs to securely identify and authenticate users when they make HTTP requests to access protected resources. Module.exports = User Define the Controllers for the API Routes It provides a concise, self-contained method of securely transmitting data between a client app and a backend system. const mongoose = require( 'mongoose') Ĭonst User = mongoose.model( "User", userSchema) In the root directory, create a new model/ file and add the following code. Module.exports = connectDB Define the Data Modelĭefine a simple user data schema using Mongoose. const mongoose = require( 'mongoose') Īwait nnect(_STRING) Ĭonsole.error( "Error connecting to MongoDB:", error) In this file, add the following code to establish the database connection using Mongoose. env file in the root directory, and paste in the connection string: CONNECTION_STRING="connection string" Configure the Database ConnectionĬreate a new utils/db.js file in the root directory of your project folder. ![]() Then copy the database connection string, create a. Next, create a MongoDB database or configure a MongoDB cluster on the cloud. MongoDB query to find a value from JSON like data MongoDB Database Big Data Analytics To fund a value from JSON data, use the find () along with dot (. To get started, create an Express web server, and install these packages: npm install cors dotenv bycrpt mongoose cookie-parser crypto jsonwebtoken mongodb You can find the project's code in this GitHub repository.
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