Plugin Federation para clustering
Explore o plugin Federation para conectar vários agentes intermediários RabbitMQ em um cluster lógico sem redes complexas. Crie sistemas distribuídos de mensagens que abranjam vários centros de dados.
Plugin Federation para clustering é uma aula grátis de RabbitMQ Messaging & Async Systems no CoddyKit. Esta é a aula 3 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de RabbitMQ Messaging & Async Systems, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de RabbitMQ Messaging & Async Systems inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
What is RabbitMQ Federation?
Imagine you have RabbitMQ brokers in different data centers or cloud regions. How do they share messages without complex network setups?
The Federation plugin allows you to loosely connect these brokers. It enables messages to flow between them, creating a distributed messaging system across geographical boundaries.
Federation vs. Traditional Clustering
It's important to distinguish Federation from traditional RabbitMQ clustering:
- Clustering: Tightly couples nodes, sharing state and data. Best for high availability within a single, low-latency network (e.g., a data center).
- Federation: Loosely connects brokers by replicating messages. Ideal for spanning wide area networks (WANs) or connecting brokers managed by different teams. It doesn't share state like a cluster.
Key Components: Upstreams & Policies
Federation relies on two main concepts:
- Upstreams: These define the source broker from which messages will be pulled. An upstream specifies the connection details (like URI) of the remote RabbitMQ instance.
- Policies: These rules determine which exchanges or queues on your downstream broker should connect to which upstream broker. They use regular expressions to match names.
Enabling the Federation Plugin
Before you can use federation, you need to enable the plugin on all participating RabbitMQ brokers. This is done using the RabbitMQ command-line tool.
Run this command on each broker:
rabbitmq-plugins enable rabbitmq_federation rabbitmq_federation_managementConfiguring an Upstream Link
An 'upstream' tells your local broker where to pull messages from. You define it using the rabbitmqctl set_parameter command.
This example sets up an upstream named 'my-upstream' pointing to a remote broker:
rabbitmqctl set_parameter federation-upstream my-upstream \
'{"uri":"amqp://guest:guest@remote-host:5672","expires":3600000}'Creating a Federation Policy for Exchanges
Once an upstream is defined, you apply it to exchanges using a policy. This policy tells your local broker to federate messages for matching exchanges from the specified upstream.
This policy federates all exchanges starting with 'fed.' from 'my-upstream':
rabbitmqctl set_policy --apply-to exchanges \
fed-exchanges ".^fed\\..*" \
'{"federation-upstream":"my-upstream"}'How Federated Exchanges Work
With a federated exchange:
- A producer publishes messages to an exchange on the upstream broker.
- The federation plugin on the downstream broker pulls these messages from the upstream exchange.
- The messages then arrive at the corresponding federated exchange on the downstream broker, where local consumers can receive them.
The consumer only interacts with its local (downstream) broker.
Client Example: Consuming from Federated Exchange
Here's a Python consumer that connects to a downstream broker and receives messages from a federated exchange. It doesn't need to know the messages originated from an upstream broker.
To run this, ensure you have pika installed (pip install pika).
import pika
import sys
import os
def main():
# Connect to the local (downstream) RabbitMQ broker
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
# Declare the exchange that is federated from an upstream broker
# (e.g., using the policy created in previous steps for 'fed_logs')
channel.exchange_declare(exchange='fed_logs', exchange_type='fanout', durable=True)
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='fed_logs', queue=queue_name)
print(' [*] Waiting for federated messages. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(f" [x] Received: {body.decode()}")
channel.basic_consume(queue=queue_name, on_message_callback=callback, auto_ack=True)
channel.start_consuming()
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print(' Interrupted')
try:
sys.exit(0)
except SystemExit:
os._exit(0)Federating Queues
You can also federate queues. When a queue is federated, messages published to that queue on the upstream broker will be pulled and added to the corresponding queue on the downstream broker.
The policy setup is very similar, just specify --apply-to queues:
rabbitmqctl set_policy --apply-to queues \
fed-queues ".^fed\\..*" \
'{"federation-upstream":"my-upstream"}'Quick Check on Federation
Which of the following best describes the primary use case for RabbitMQ Federation?
Recap: Federation for Distributed Messaging
In this lesson, you learned about the RabbitMQ Federation plugin:
- It allows you to connect RabbitMQ brokers across different locations.
- It uses upstreams to define source brokers and policies to apply federation rules.
- Federation differs from clustering by offering loose coupling, suitable for WANs.
- You can federate both exchanges and queues, enabling flexible message distribution in a distributed system.
This powerful plugin helps you build robust, geographically distributed messaging architectures.
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Perguntas Frequentes
A aula “Plugin Federation para clustering” é grátis?
Sim — o texto completo de “Plugin Federation para clustering” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de RabbitMQ Messaging & Async Systems, atualize para CoddyKit PRO. O curso de RabbitMQ Messaging & Async Systems inclui 4 aulas no total.
O que vou aprender em “Plugin Federation para clustering”?
Explore o plugin Federation para conectar vários agentes intermediários RabbitMQ em um cluster lógico sem redes complexas. Crie sistemas distribuídos de mensagens que abranjam vários centros de dados. Você pratica RabbitMQ Messaging & Async Systems com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
Preciso ter experiência prévia para começar RabbitMQ Messaging & Async Systems?
Nenhuma experiência prévia é necessária. RabbitMQ Messaging & Async Systems no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 3 de 4.
Quanto tempo leva a aula “Plugin Federation para clustering”?
A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.
Posso escrever e executar código nesta aula de RabbitMQ Messaging & Async Systems?
Sim. Cada aula de RabbitMQ Messaging & Async Systems inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.
Todas as aulas deste curso
- Plugin de mensagens atrasadas
- Plugin Shovel para federação
- Plugin Federation para clustering
- Desduplicação de mensagens e plugins de exchange com hash consistente