Table of Contents
This repository contains some samples that show RabbitmQ features in different projects from basic to advance config.
A message broker is an intermediary software component or service that facilitates communication between different applications or systems by enabling the exchange of messages. It serves as a centralized hub where producers can send messages, and consumers can retrieve and process them.
Benefits of Message broker
- Decoupling of Services
- Asynchronous Communication
- Reliability and Message Persistence
- Load Balancing and Scalability
- Protocol Translation and Interoperability
- Monitoring and Management
- Message Routing and Filtering
- Buffering and Throttling
- Fault Isolation
RabbitMQ is a powerful open-source message broker software, designed to facilitate seamless communication between diverse applications. Built upon the Advanced Message Queuing Protocol (AMQP), it acts as a reliable mediator, enabling efficient exchange of messages among different components of distributed systems. Through RabbitMQ, applications can effortlessly send and receive messages, fostering smooth interaction and coordination within complex software architectures.
For a quick list of RabbitMQ's capabilities for more information see the documentation.
- Message Queues
- Message Durability
- Exchange Types
- Routing
- Publisher-Subscriber Model
- Reliability and Acknowledgments
- Clustering
- Management UI
- Plugins and Extensions
- Security
- Integration
RabbitMQ installation comprises two key components: server-side and client-side. The server-side involves configuring and launching RabbitMQ on the server, often through Docker or other deployment methods. Conversely, the client-side entails integrating RabbitMQ client libraries or SDKs into your development environment, facilitating seamless communication between your applications and the RabbitMQ server.
- Docker installed on your machine. You can download and install Docker Desktop from https://www.docker.com/products/docker-desktop.
Start a RabbitMQ container with the following command. This command will create and run a RabbitMQ server instance inside a Docker container.
docker run -d --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:3.13-management
Once the container is running, you can access the RabbitMQ management UI by navigating to http://localhost:15672 in your web browser. Log in with the default credentials (username: guest, password: guest). The management UI allows you to monitor and manage your RabbitMQ server.
Add the RabbitMQ.Client package to your .NET project using NuGet Package Manager or .NET CLI. This package provides the necessary libraries for connecting to RabbitMQ from your .NET applications.
dotnet add package RabbitMQ.Client
Use the RabbitMQ.Client library in your .NET project to connect to RabbitMQ and interact with queues, exchanges, and messages.
The simplest sample that introduces how to use RabbitMQ here.
Link here : Basic
Similar to the Basic template, but with the addition of multiple consumers to receive messages from each queue.
Link here : Multi Worker
Similar to the Multi-worker template, in this scenario, we send messages to an exchange. The exchange then routes these messages to the connected queues based on predefined routing rules. Finally, the messages are delivered to consumers that are connected to these queues.
Link here : Exchange
Similar to the Exchange template, in this scenario, we send messages to an exchange with route key. The exchange then routes these messages to the connected queues based on predefined routing rules. Finally, the messages are delivered to consumers that are connected to these queues and route key rules.
Link here : Routing
Similar to the Routing template, in this scenario, we send messages to an exchange with route key. The exchange then routes these messages to the connected queues based on predefined routing rules. Finally, the messages are delivered to consumers that are connected to these queues and route key rules.
Link here : Topic
RPC in RabbitMQ involves clients sending requests to a server via a designated queue, with correlation IDs and reply-to queues specified. The server processes requests and sends responses back to the client's designated queue, using the correlation ID for identification. This pattern enables synchronous communication between distributed systems, facilitating seamless interaction and data exchange.
Link here : RPC