RabbitMQ未确认的消息未重新排队

Question

我长期运行RabbitMQ使用者时遇到问题。我的几封邮件最终都处于未确认状态。

我的RabbitMQ版本：3.6.15皮卡版本：0.11.0b

import pika
import time
import sys
import threading
from Queue import Queue
rabbitmq_server = "<SERVER>"
queue = "<QUEUE>"
connection = None

def check_acknowledge(channel, connection, ack_queue):
    delivery_tag = None
    while(True):
        try:
            delivery_tag = ack_queue.get_nowait()
            channel.basic_nack(delivery_tag=delivery_tag)
            break
        except:
            connection.process_data_events()
        time.sleep(1)


def process_message(body, delivery_tag, ack_queue):
    print "Received %s" % (body)
    print "Waiting for 600 seconds before receiving next ID\n"
    start = time.time()
    elapsed = 0
    while elapsed < 10:
        elapsed = time.time() - start
        print "loop cycle time: %f, seconds count: %02d" %(time.clock(), elapsed)
        time.sleep(1)
    ack_queue.put(delivery_tag)




def callback(ch, method, properties, body):
    global connection
    ack_queue = Queue()
    t = threading.Thread(target=process_message, args=(body, method.delivery_tag, ack_queue))
    t.start()
    check_acknowledge(ch, connection, ack_queue)

while True:
    try:
        connection = pika.BlockingConnection(pika.ConnectionParameters(host=rabbitmq_server))
        channel = connection.channel()
        print ' [*] Waiting for messages. To exit press CTRL+C'
        channel.basic_qos(prefetch_count=1)
        channel.basic_consume(callback, queue=queue)
        channel.start_consuming()
    except KeyboardInterrupt:
        break

channel.close()
connection.close()
exit(0)

我在这里想念什么吗？

Answer 1

我使用以下多线程使用者来解决此问题。

import pika
import time
import sys
import threading
from Queue import Queue
rabbitmq_server = "<RABBITMQ_SERVER_IP>"
queue = "hello1"
connection = None




def check_acknowledge(channel, connection, ack_queue):
    delivery_tag = None
    while(True):
        try:
            delivery_tag = ack_queue.get_nowait()
            channel.basic_ack(delivery_tag=delivery_tag)
            break
        except:
            connection.process_data_events()
        time.sleep(1)


def process_message(body, delivery_tag, ack_queue):
    print "Received %s" % (body)
    print "Waiting for 600 seconds before receiving next ID\n"
    start = time.time()
    elapsed = 0
    while elapsed < 300:
        elapsed = time.time() - start
        print "loop cycle time: %f, seconds count: %02d" %(time.clock(), elapsed)
        time.sleep(1)
    ack_queue.put(delivery_tag)




def callback(ch, method, properties, body):
    global connection
    ack_queue = Queue()
    t = threading.Thread(target=process_message, args=(body, method.delivery_tag, ack_queue))
    t.start()
    check_acknowledge(ch, connection, ack_queue)

while True:
    try:
        connection = pika.BlockingConnection(pika.ConnectionParameters(host=rabbitmq_server))
        channel = connection.channel()
        print ' [*] Waiting for messages. To exit press CTRL+C'
        channel.basic_qos(prefetch_count=1)
        channel.basic_consume(callback, queue=queue)
        channel.start_consuming()
    except KeyboardInterrupt:
        break

channel.close()
connection.close()
exit(0)

1. 使用者callback函数将在主线程本身中触发一个单独的函数check_acknowledge。因此，连接和通道对象保留在同一线程中。请注意，Pika不是线程安全的，因此我们需要在同一线程中维护这些对象。
2. 实际处理发生在从主线程派生的新线程中。

3. process_message处理完成后，将delivery_tag放入队列。

4. check_acknowledge无限循环，直到找到delivery_tag放入队列中的process_message。一旦找到，它将acks消息返回。

我已经通过sleep运行此使用者5分钟，10分钟，30分钟和1小时来测试此实现。这对我来说很好用。