When it comes to NoSQL databases, MongoDB is frequently cited as one of the best options. NoSQL databases, as opposed to traditional SQL databases, are known for their ability to work with large datasets, providing scalability and flexibility in app development. SQL databases, on the other hand, are relatively stiff and difficult to scale when dealing with large data sets.

In this article, we’ll look at 5 easy steps for the Angular MongoDB Database Integration.

Steps to Get Started with Angular MongoDB Integration

A stable and dependable MongoDB connection is essential when using Angular to construct a web application. This entails setting up the Angular MongoDB connection to provide smooth communication between the back-end MongoDB database and the front-end Angular framework for efficient data retrieval and manipulation. Take a look at the steps below to learn how to connect Angular with MongoDB.

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Angular MongoDB Integration Step 1: Using the Angular CLI, Create a basic Angular 5 App

Install the Angular CLI in the terminal.

sudo npm install -g @angular/cli
Angular MongoDB - Angular CLI Command
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So far, we’ve installed the AngularJS Command Line Interface. It’s time to start working on the new Angular App.

Enter the following command:

ng new <name-of-the-app>

Now let’s change the directory to the directory of our app.

cd <name-of-the-app>

It’s time to put our Angular App to the test! 

ng serve -o

Our browser displays the following page:

Angular MongoDB - Angular App Website
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Angular MongoDB Integration Step 2: Let’s set up Express, Mongoose, and the body-parser

npm install express — save
npm install mongoose — save
npm install body-parser --save

Express is a web framework for routing and middleware that has very little functionality on its own and is essentially a series of middleware function calls.

In the application’s request-response cycle, middleware functions can access the request object (req), the response object (res), and the subsequent middleware function. To indicate the next middleware function, a variable named next is frequently used.

Mongoose facilitates the connection between the NodeJS app and the MongoDB database.

The Body-Parser middleware facilitates the parsing of incoming request bodies in a middleware prior to the execution of handlers that are accessed through the req.body property.

Angular MongoDB Integration Step 3: Make a new file called server.js

In the text editor, open the server.js file.

Angular MongoDB - Sever.js code
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We may utilize the packages we imported, as stated in lines 1-4. Lines 5–9 create a local instance of a MongoDB database. If a problem arises and the database is unable to establish a connection, we notify the user of the error. The headers are defined at lines 18–24.

Angular MongoDB - Sever.js code
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The lines 26–31 help us define the structure of our database. We will just save the user’s name and address in our example, as they are both Strings. Lines 36–87 include the definitions of our API calls, which enable us get, store, edit, and remove user data from the database.

Angular MongoDB Integration Step 4: Create a new Angular Service to call common AJAX APIs

Create a new Angular Service to call common AJAX APIs.

ng g s common -spec=false

Open src/app/common.service.ts and paste the following code there:

Angular MongoDB - Angular Service with AJAX APIs
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Finally, we update our app’s HTML to display the data!

Angular MongoDB Integration Step 5: It’s time to put our app to use!

  • Use mongod to launch a local instance of MongoDB.
  • A couple of similar-looking commands appear on the terminal, and the pointer remains there, waiting for connections to the MongoDB Daemon to be established.
  • Now, let’s try running our Angular App with the ng serve -o command.
Angular MongoDB - Demo Application
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Conclusion

You’ve learned how to create a basic CRUD application using Angular 5, Nodejs, Express, and the Angular MongoDB Integration.

To meet the growing storage and computing needs of data, you will need to invest some of your engineering bandwidth in integrating data from all sources, cleaning and transforming it, and finally loading it into a Cloud Data Warehouse for further Business Analytics. A Cloud-Based ETL tool, such as Hevo Data, can efficiently handle all of these challenges.

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Share with us your experience of Building a Secure App with CRUD Operations with Angular MongoDB Integration in the comments below!

mm
Former Research Analyst, Hevo Data

Davor is a data analyst at heart with a passion for data, software architecture, and writing technical content. He has experience writing more than 100 articles on data integration and infrastructure.

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