How do you handle Firebase push notifications in Spring Boot?

Table of Contents

Introduction

Firebase Cloud Messaging (FCM) allows developers to send push notifications to client applications across multiple platforms. In a Spring Boot application, you can integrate FCM to handle notification sending efficiently. This guide explains how to configure and implement Firebase push notifications in a Spring Boot application, including practical examples.

Setting Up Firebase for Push Notifications

Prerequisites

  1. Firebase Project Setup:
    Create a project in the Firebase Console.
    Enable Cloud Messaging under the project settings.

  2. Download Service Account Key:
    Obtain the Firebase service account key JSON file and add it to your src/main/resources directory.

  3. Add Firebase Admin SDK Dependency:
    Include the Firebase Admin SDK in your pom.xml file.

  4. Initialize Firebase in Spring Boot:
    Configure Firebase in your application as shown below:

Sending Push Notifications in Spring Boot

Implementing FCM Notification Service

  1. Service Class for Sending Notifications:

  2. Controller Endpoint to Send Notifications:

Practical Example: Targeted Notifications

Example Use Case

  • Client App: A mobile application sends its unique FCM token to the backend during user registration.
  • Backend: The Spring Boot application stores the token and uses it to send targeted push notifications.
  1. Frontend Workflow:

    • Retrieve the device's FCM token using Firebase SDK.
    • Send the token to the Spring Boot backend.
  2. Backend Notification Sending:

    • Call the /notifications/send endpoint with a title, body, and the target token.

    Example Request:

Conclusion

Integrating Firebase push notifications into a Spring Boot application is straightforward with the Firebase Admin SDK. By sending push notifications programmatically, you can deliver real-time updates to your users, enhancing engagement and communication. Whether for marketing or system alerts, handling FCM in Spring Boot is efficient and scalable.

Similar Questions