To test the REST API, spin up the development server and make API requests to the defined endpoints: node server. 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).
#Mongodb find to json how to#
const User = require( './models/user.model') Ĭonst `) JSON (JavaScript Object Notation) is a simple and lightweight text-based data format. Overview In this previous article, we've seen how to retrieve BSON documents as Java objects from MongoDB.
The following example uses the find () method with no parameters to return all documents from the books collection: db.books.find () Code language: CSS (css) In the mongo shell, the statement returns the first 20 documents with all available fields in the matching. Define the user registration controller. 1) Using MongoDB find () method to retrieve all documents from a collection.This means that you would need to convert the string into JSON.
#Mongodb find to json driver#
In the root directory, create a controllers/userControllers.js file and add the following code: The MongoDB Node.JS driver find() method expects not a string, but a query object (JSON). JSON is converted to BSON to be stored in MongoDB and converted back to JSON when retrieved from the database. The controller functions will manage registration and login they’re a substantial part of this sample program. Module.exports = User Define the Controllers for the API Routes JSON Schema is an IETF standard providing a format for what JSON data is required for a given application and how to interact with it. const mongoose = require( 'mongoose') Ĭonst User = mongoose.model( "User", userSchema) Get Started with Atlas Download Compass JSON (JavaScript Object Notation) is a simple and lightweight text-based data format. In the root directory, create a new model/ file and add the following code. jsonexport docs. 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. As many Integration Operation parameters take as input JSON expressions, such as those for filtering MongoDB Documents in Collection Find, we have included a set of Expression Functions to help create these JSON Query expressions without having to construct the strings yourself. Next, create a MongoDB database or configure a MongoDB cluster on the cloud.
#Mongodb find to json install#
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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