RabbitMQ 是一个开源的消息代理和队列服务器,实现了高级消息队列协议 (AMQP)。它能够在生产者和消费者之间传递消息,并且能够保证消息的可靠传输。
1. Ubuntu:
```bash
sudo apt update
sudo apt install rabbitmq-server
```
2. MacOS (Homebrew):
```bash
brew install rabbitmq
```
3. Windows:
- 下载安装包并运行安装向导。
- 启动:
```bash
sudo service rabbitmq-server start
```
- 停止:
```bash
sudo service rabbitmq-server stop
```
```bash
sudo rabbitmq-plugins enable rabbitmq_management
```
- 打开浏览器访问 `http://localhost:15672/`
- 默认用户名和密码均为 `guest`。
发布/订阅模式允许消息发送给多个接收者。
```python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs', exchange_type='fanout')
message = "Hello, world!"
channel.basic_publish(exchange='logs', routing_key='', body=message)
print(" [x] Sent %r" % message)
connection.close()
```
```python
import pika
import sys
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs', exchange_type='fanout')
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='logs', queue=queue_name)
print(' [*] Waiting for logs. To exit press CTRL+C')
channel.basic_consume(queue=queue_name, on_message_callback=callback, auto_ack=True)
channel.start_consuming()
```
工作队列模式将任务分布到多个工作者节点。
```python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
message = "A new task"
channel.basic_publish(
exchange='',
routing_key='task_queue',
body=message,
properties=pika.BasicProperties(
delivery_mode=pika.spec.PERSISTENT_DELIVERY_MODE
))
print(" [x] Sent %r" % message)
connection.close()
```
```python
import pika
import time
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
time.sleep(body.count(b'.'))
print(" [x] Done")
ch.basic_ack(delivery_tag=method.delivery_tag)
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.basic_qos(prefetch_count=1)
channel.basic_consume(queue='task_queue', on_message_callback=callback)
channel.start_consuming()
```
RPC (Remote Procedure Call) 模式使得客户端能够通过网络远程调用一个函数。
```python
import pika
import fib
def on_request(ch, method, props, body):
n = int(body)
print(" [.] fib(%s)" % n)
response = fib.fib(n)
ch.basic_publish(exchange='',
routing_key=props.reply_to,
properties=pika.BasicProperties(correlation_id=props.correlation_id),
body=str(response))
ch.basic_ack(delivery_tag=method.delivery_tag)
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='rpc_queue')
channel.basic_qos(prefetch_count=1)
channel.basic_consume(queue='rpc_queue', on_message_callback=on_request)
print(" [x] Awaiting RPC requests")
channel.start_consuming()
```
```python
import pika
import uuid
import fib
class FibonacciRpcClient(object):
def __init__(self):
self.connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
self.channel = self.connection.channel()
result = self.channel.queue_declare(queue='', exclusive=True)
self.callback_queue = result.method.queue
self.channel.basic_consume(
queue=self.callback_queue,
on_message_callback=self.on_response,
auto_ack=True)
def on_response(self, ch, method, props, body):
if self.corr_id == props.correlation_id:
self.response = body
def call(self, n):
self.response = None
self.corr_id = str(uuid.uuid4())
self.channel.basic_publish(
exchange='',
routing_key='rpc_queue',
properties=pika.BasicProperties(
reply_to=self.callback_queue,
correlation_id=self.corr_id,
),
body=str(n))
while self.response is None:
self.connection.process_data_events()
return int(self.response)
fibonacci_rpc = FibonacciRpcClient()
print(" [x] Requesting fib(30)")
response = fibonacci_rpc.call(30)
print(" [.] Got %r" % response)
thon 客户端](https://pika.readthedocs.io/en/stable/)
```