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Multi channel (#10)
* feat(rabbitmq): 添加多channel管理功能支持 实现RabbitMQ连接的多channel管理，提高并发性能和资源利用率 - 新增create_channel/close_channel/list_channels等接口 - 支持在队列操作中指定使用特定channel - 保持原有API的向后兼容性 - 添加多channel使用示例和测试用例
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‎example/example_multi_channel.py‎

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#!/usr/bin/env python3
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"""
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多channel管理示例
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这个示例展示了如何使用多个channel来处理不同的队列操作，
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提高并发性能和资源利用率。
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"""
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import logging
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import threading
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import time
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from use_rabbitmq import RabbitMQStore
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logging.basicConfig(level=logging.INFO)
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def test_multi_channel_basic():
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"""基本的多channel测试"""
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print("=== 基本多channel测试 ===")
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with RabbitMQStore(
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host="localhost",
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port=5672,
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username="guest",
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password="guest"
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) as mq:
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# 创建多个channel
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channel1_id = mq.create_channel()
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channel2_id = mq.create_channel()
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print(f"创建了两个channel: {channel1_id[:8]}..., {channel2_id[:8]}...")
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# 使用不同的channel声明队列
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mq.declare_queue("queue1", channel_id=channel1_id)
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mq.declare_queue("queue2", channel_id=channel2_id)
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# 使用不同的channel发送消息
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mq.send("queue1", "Message to queue1 via channel1", channel_id=channel1_id)
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mq.send("queue2", "Message to queue2 via channel2", channel_id=channel2_id)
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# 检查消息数量
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count1 = mq.get_message_counts("queue1", channel_id=channel1_id)
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count2 = mq.get_message_counts("queue2", channel_id=channel2_id)
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print(f"Queue1 消息数量: {count1}")
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print(f"Queue2 消息数量: {count2}")
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# 列出所有channel状态
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channels = mq.list_channels()
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print(f"所有channel状态: {channels}")
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# 清理
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mq.flush_queue("queue1", channel_id=channel1_id)
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mq.flush_queue("queue2", channel_id=channel2_id)
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# 关闭channel
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mq.close_channel(channel1_id)
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mq.close_channel(channel2_id)
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print("多channel基本测试完成")
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def test_backward_compatibility():
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"""测试向后兼容性"""
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print("\n=== 向后兼容性测试 ===")
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with RabbitMQStore(
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host="localhost",
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port=5672,
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username="guest",
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password="guest"
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) as mq:
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# 使用原有的API（不指定channel_id）
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mq.declare_queue("test_queue")
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mq.send("test_queue", "Backward compatibility test message")
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count = mq.get_message_counts("test_queue")
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print(f"使用默认channel发送消息，队列消息数量: {count}")
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# 清理
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mq.flush_queue("test_queue")
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print("向后兼容性测试通过")
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def test_concurrent_channels():
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"""测试并发使用多个channel"""
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print("\n=== 并发channel测试 ===")
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def worker(mq, worker_id, channel_id):
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"""工作线程函数"""
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queue_name = f"worker_queue_{worker_id}"
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# 声明队列
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mq.declare_queue(queue_name, channel_id=channel_id)
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# 发送多条消息
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for i in range(5):
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message = f"Worker {worker_id} - Message {i}"
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mq.send(queue_name, message, channel_id=channel_id)
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time.sleep(0.1) # 模拟处理时间
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# 检查消息数量
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count = mq.get_message_counts(queue_name, channel_id=channel_id)
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print(f"Worker {worker_id} (Channel {channel_id[:8]}...) 发送了 {count} 条消息")
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# 清理
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mq.flush_queue(queue_name, channel_id=channel_id)
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with RabbitMQStore(
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host="localhost",
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port=5672,
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username="guest",
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password="guest"
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) as mq:
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# 创建多个channel
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channels = []
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threads = []
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for i in range(3):
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channel_id = mq.create_channel()
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channels.append(channel_id)
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# 创建工作线程
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thread = threading.Thread(target=worker, args=(mq, i, channel_id))
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threads.append(thread)
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thread.start()
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# 等待所有线程完成
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for thread in threads:
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thread.join()
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# 关闭所有channel
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for channel_id in channels:
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mq.close_channel(channel_id)
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print("并发channel测试完成")
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def test_channel_recovery():
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"""测试channel恢复机制"""
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print("\n=== Channel恢复测试 ===")
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with RabbitMQStore(
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host="localhost",
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port=5672,
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username="guest",
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password="guest"
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) as mq:
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# 创建channel
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channel_id = mq.create_channel()
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# 使用channel
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mq.declare_queue("recovery_test", channel_id=channel_id)
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mq.send("recovery_test", "Test message", channel_id=channel_id)
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print(f"Channel {channel_id[:8]}... 创建并使用成功")
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# 模拟channel状态检查
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channels_status = mq.list_channels()
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print(f"Channel状态: {channels_status}")
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# 清理
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mq.flush_queue("recovery_test", channel_id=channel_id)
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mq.close_channel(channel_id)
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print("Channel恢复测试完成")
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if __name__ == "__main__":
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print("RabbitMQ 多Channel管理示例")
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print("=" * 50)
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try:
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test_multi_channel_basic()
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test_backward_compatibility()
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test_concurrent_channels()
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test_channel_recovery()
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print("\n" + "=" * 50)
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print("所有多channel测试完成！")
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print("新功能特性:")
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print("1. 支持创建多个channel")
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print("2. 每个操作可以指定使用的channel")
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print("3. 保持向后兼容性")
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print("4. 支持并发使用多个channel")
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print("5. 自动管理channel生命周期")
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except Exception as e:
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print(f"测试运行出错: {e}")
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import traceback
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traceback.print_exc()

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