如何实现一对多拉取消息消费模型
问题背景：
阿里云消息服务MNS 已经提供队列（queue）和主题（topic）两种模型。其中队列提供的是一对多的共享消息消费模型，采用客户端主动拉取（Pull）模式；主题模型提供一对多的广播消息消费模型，并且采用服务端主动推送（Push）模式。上面两种模型基本能满足我们大多数应用场景。
推送模式的好处是即时性能比较好，但是需要暴露客户端地址来接收服务端的消息推送。有些情况下，比如企业内网，我们无法暴露推送地址，希望改用拉取（Pull）的方式。虽然MNS不直接提供这种消费模型，但是我们可以结合主题和队列来实现一对多的拉取消息消费模型。具体方案如下：
解决方案：
让主题将消息先推送到队列，然后由消费者从队列拉取消息。这样既可以做到1对多的广播消息，又不需要暴露消费者的地址；如下图所示：
接口说明：
在MNS最新的Java SDK (1.1.5)中的CloudPullTopic 默认支持上述解决方案。其中
MNSClient 提供下面两个接口来快速创建CloudPullTopic
public CloudPullTopic createPullTopic(TopicMeta topicMeta, Vector<String> queueNameList, boolean needCreateQueue, QueueMeta queueMetaTemplate)
public CloudPullTopic createPullTopic(TopicMeta topicMeta, Vector<String> queueNameList)
其中，TopicMeta 是创建topic的meta 设置， queueNameList里指定topic消息推送的队列名列表；needCreateQueue表明queueNameList是否需要创建；queueMetaTemplate是创建queue需要的queue meta 参数设置；
Demo 代码
CloudAccount account = new CloudAccount(accessKeyId, accessKeySecret, endpoint);
MNSClient client = account.getMNSClient();
// build consumer name list.
Vector<String> consumerNameList = new Vector<String>();
String consumerName1 = "consumer001";
String consumerName2 = "consumer002";
String consumerName3 = "consumer003";
consumerNameList.add(consumerName1);
consumerNameList.add(consumerName2);
consumerNameList.add(consumerName3);
QueueMeta queueMetaTemplate = new QueueMeta();
queueMetaTemplate.setPollingWaitSeconds(30);
try{
//producer code:
// create pull topic which will send message to 3 queues for consumer.
String topicName = "demo-topic-for-pull";
TopicMeta topicMeta = new TopicMeta();
topicMeta.setTopicName(topicName);
CloudPullTopic pullTopic = client.createPullTopic(topicMeta, consumerNameList, true, queueMetaTemplate);
//publish message and consume message.
String messageBody = "broadcast message to all the consumers:hello the world.";
// if we sent raw message,then should use getMessageBodyAsRawString to parse the message body correctly.
TopicMessage tMessage = new RawTopicMessage();
tMessage.setBaseMessageBody(messageBody);
pullTopic.publishMessage(tMessage);
// consumer code:
//3 consumers receive the message.
CloudQueue queueForConsumer1 = client.getQueueRef(consumerName1);
CloudQueue queueForConsumer2 = client.getQueueRef(consumerName2);
CloudQueue queueForConsumer3 = client.getQueueRef(consumerName3);
Message consumer1Msg = queueForConsumer1.popMessage(30);
if(consumer1Msg != null)
{
System.out.println("consumer1 receive message:" + consumer1Msg.getMessageBodyAsRawString());
}else{
System.out.println("the queue is empty");
}
Message consumer2Msg = queueForConsumer2.popMessage(30);
if(consumer2Msg != null)
{
System.out.println("consumer2 receive message:" + consumer2Msg.getMessageBodyAsRawString());
}else{
System.out.println("the queue is empty");
}
Message consumer3Msg = queueForConsumer3.popMessage(30);
if(consumer3Msg != null)
{
System.out.println("consumer3 receive message:" + consumer3Msg.getMessageBodyAsRawString());
}else{
System.out.println("the queue is empty");
}
// delete the fullTopic.
pullTopic.delete();
}catch(ClientException ce)
{
System.out.println("Something wrong with the network connection between client and MNS service."
+ "Please check your network and DNS availablity.");
ce.printStackTrace();
}
catch(ServiceException se)
{
/*you can get more MNS service error code in following link.
https://help.aliyun.com/document_detail/mns/api_reference/error_code/error_code.html?spm=5176.docmns/api_reference/error_code/error_response
*/
se.printStackTrace();
}
client.close();