How do you implement message filtering in RabbitMQ with Spring Boot?

Table of Contents

• Introduction
• Message Filtering Using Routing Keys
  • 1. Direct Exchange Filtering
    • Configuration Example:
    • Producer Example:
    • Consumer Example:
  • 2. Topic Exchange Filtering
    • Configuration Example:
    • Producer Example:
    • Consumer Example:
• Message Filtering Using Headers
  • 1. Headers Exchange Filtering
    • Configuration Example:
    • Producer Example:
    • Consumer Example:
• Practical Example: Dynamic User Notification System
  • Scenario
    • Configuration:
    • Producer:
    • Consumer:
• Conclusion

Introduction

Message filtering in RabbitMQ enables selective message delivery to consumers based on specific criteria. In a Spring Boot application, you can achieve this using routing keys or custom headers in combination with RabbitMQ's exchange types like direct, topic, or headers. This guide explains how to implement message filtering in RabbitMQ with Spring Boot using practical examples.

Message Filtering Using Routing Keys

1. Direct Exchange Filtering

In a direct exchange, messages are routed to queues with matching routing keys.

Configuration Example:

Producer Example:

Consumer Example:

2. Topic Exchange Filtering

A topic exchange uses patterns for routing keys to enable flexible filtering.

Configuration Example:

Producer Example:

Consumer Example:

Message Filtering Using Headers

1. Headers Exchange Filtering

A headers exchange allows filtering based on custom message headers instead of routing keys.

Configuration Example:

Producer Example:

Consumer Example:

Practical Example: Dynamic User Notification System

Scenario

A notification system sends different types of alerts (e.g., info, warning, error) to specific queues.

Configuration:

Producer:

Consumer:

Conclusion

Message filtering in RabbitMQ using Spring Boot enhances selective message delivery based on routing keys or headers. By configuring exchanges appropriately, you can achieve dynamic message routing and ensure that each consumer processes only relevant messages. Understanding and implementing these techniques can significantly improve your application's message-driven architecture.