在CentOS上优化RabbitMQ消息队列可以从多个方面入手,以下是一些常见的优化技巧:
调整Broker配置:
rabbitmq.config
文件中设置max_connections
和max_channels_per_connection
参数来增加最大连接数和每个连接的最大通道数。[{rabbit, [
{tcp_listeners, [5672]},
{loopback_users, []},
{max_connections, 65536},
{max_channels_per_connection, 1024}
]}]
使用Publisher Confirms:
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.confirm_delivery()
for i in range(10):
channel.basic_publish(exchange='', routing_key='my_queue', body=f'Message {i}', properties=pika.BasicProperties(delivery_mode=2))
print(f" [x] Sent 'Message {i}'")
connection.close()
使用消息持久化:
channel.queue_declare(queue='my_queue', durable=True)
channel.basic_publish(exchange='', routing_key='my_queue', body='Hello World!', properties=pika.BasicProperties(delivery_mode=2))
使用Dead Letter Exchange:
channel.exchange_declare(exchange='dlx', exchange_type='direct')
channel.queue_declare(queue='my_queue', arguments={'x-dead-letter-exchange': 'dlx', 'x-dead-letter-routing-key': 'dead.key'})
channel.queue_bind(exchange='dlx', queue='my_queue', routing_key='dead.key')
限制消费者数量:
channel.basic_qos(prefetch_count=10)
启用管理插件:
rabbitmq-plugins enable rabbitmq_management
使用Prometheus和Grafana进行监控:
vm_memory_high_watermark
和磁盘空间限制,确保RabbitMQ在内存和磁盘使用方面的高效性。reader
、channel
、amqqueue
等,以达到最佳性能。通过上述配置和优化措施,可以显著提高RabbitMQ在CentOS环境下的性能和稳定性。