RocketMQ的消费者消费消息，有2种模式：
-
负载均衡模式
image -
广播模式
image
首先我们先启动一个生产者：发送了10条消息，主题是TopicTest,tag是TagA
public class SyncProducer {
public static void main(String[] args) throws MQClientException, UnsupportedEncodingException, RemotingException, InterruptedException, MQBrokerException {
DefaultMQProducer defaultMQProducer = new DefaultMQProducer();
//设置生产者组
defaultMQProducer.setProducerGroup("syncProducer");
//设置nameserver
defaultMQProducer.setNamesrvAddr("localhost:9876");
//启动生产者
defaultMQProducer.start();
for (int i = 0; i < 10; i++) {
//构建消息 topic tag 内容
Message msg = new Message("TopicTest" /* Topic */,
"TagA" /* Tag */,
("Hello RocketMQ " +
i).getBytes(RemotingHelper.DEFAULT_CHARSET) /* Message body */
);
//同步发送，且返回结果
SendResult sendResult = defaultMQProducer.send(msg);
System.out.println("发送结果"+sendResult);
}
//关闭生产者
defaultMQProducer.shutdown();
}
}
//运行结果
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2040000, offsetMsgId=C0A81FF100002A9F0000000000045402, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=1], queueOffset=350]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2230001, offsetMsgId=C0A81FF100002A9F00000000000454CB, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=2], queueOffset=350]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2260002, offsetMsgId=C0A81FF100002A9F0000000000045594, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=3], queueOffset=350]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E22A0003, offsetMsgId=C0A81FF100002A9F000000000004565D, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=0], queueOffset=350]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E22C0004, offsetMsgId=C0A81FF100002A9F0000000000045726, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=1], queueOffset=351]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E22E0005, offsetMsgId=C0A81FF100002A9F00000000000457EF, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=2], queueOffset=351]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2300006, offsetMsgId=C0A81FF100002A9F00000000000458B8, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=3], queueOffset=351]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2320007, offsetMsgId=C0A81FF100002A9F0000000000045981, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=0], queueOffset=351]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2340008, offsetMsgId=C0A81FF100002A9F0000000000045A4A, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=1], queueOffset=352]
发送结果SendResult [sendStatus=SEND_OK, msgId=7F000001503218B4AAC29874E2360009, offsetMsgId=C0A81FF100002A9F0000000000045B13, messageQueue=MessageQueue [topic=TopicTest, brokerName=aarondeMBP, queueId=2], queueOffset=352]
14:29:56.930 [NettyClientSelector_1] INFO RocketmqRemoting - closeChannel: close the connection to remote address[127.0.0.1:9876] result: true
14:29:56.932 [NettyClientSelector_1] INFO RocketmqRemoting - closeChannel: close the connection to remote address[127.0.0.1:9876] result: true
14:29:56.932 [NettyClientSelector_1] INFO RocketmqRemoting - closeChannel: close the connection to remote address[192.168.31.241:10911] result: true
接下来，我们启动2个消费者，分别用负载均衡模式和广播模式去进行消费信息：
负载均衡(或叫集群模式)
public class ClusterConsumer {
public static void main(String[] args) throws MQClientException {
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("clusterConsumer");
consumer.setNamesrvAddr("localhost:9876");
//设置集群模式，也就是负载均衡模式
consumer.setMessageModel(MessageModel.CLUSTERING);
//订阅主题和标签
consumer.subscribe("TopicTest","TagA");
consumer.registerMessageListener(new MessageListenerConcurrently() {
@Override
public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
for (MessageExt msg : msgs) {
System.out.println("消费信息:"+new String(msg.getBody()));
}
return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
}
});
consumer.start();
}
}
//运行2个实例，结果如下：
实例1：
消费信息:Hello RocketMQ 3
消费信息:Hello RocketMQ 2
消费信息:Hello RocketMQ 7
消费信息:Hello RocketMQ 6
实例2：
消费信息:Hello RocketMQ 1
消费信息:Hello RocketMQ 0
消费信息:Hello RocketMQ 4
消费信息:Hello RocketMQ 5
消费信息:Hello RocketMQ 8
消费信息:Hello RocketMQ 9
广播模式
public class BoardConsumer {
public static void main(String[] args) throws MQClientException {
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("clusterConsumer");
consumer.setNamesrvAddr("localhost:9876");
//设置集群模式，也就是负载均衡模式
consumer.setMessageModel(MessageModel.BROADCASTING);
//订阅主题和标签
consumer.subscribe("TopicTest","TagA");
consumer.registerMessageListener(new MessageListenerConcurrently() {
@Override
public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
for (MessageExt msg : msgs) {
System.out.println("消费信息:"+new String(msg.getBody()));
}
return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
}
});
consumer.start();
}
//运行2个实例，结果如下：
实例1：
消费信息:Hello RocketMQ 0
消费信息:Hello RocketMQ 1
消费信息:Hello RocketMQ 2
消费信息:Hello RocketMQ 3
消费信息:Hello RocketMQ 5
消费信息:Hello RocketMQ 9
消费信息:Hello RocketMQ 4
消费信息:Hello RocketMQ 6
消费信息:Hello RocketMQ 7
消费信息:Hello RocketMQ 8
实例2：
消费信息:Hello RocketMQ 2
消费信息:Hello RocketMQ 3
消费信息:Hello RocketMQ 1
消费信息:Hello RocketMQ 0
消费信息:Hello RocketMQ 5
消费信息:Hello RocketMQ 9
消费信息:Hello RocketMQ 4
消费信息:Hello RocketMQ 8
消费信息:Hello RocketMQ 7
消费信息:Hello RocketMQ 6
今天分享了消费者负载均衡模式和广播模式。
在生产中，一般都是用负载均衡模式。广播模式比较少用。但还是得具体场景具体分析。
后续文章
- RocketMQ-入门(已更新)
- RocketMQ-消息发送(已更新)
- RocketMQ-消费信息
- RocketMQ-消费者的广播模式和集群模式（已更新）
- RocketMQ-顺序消息
- RocketMQ-延迟消息
- RocketMQ-批量消息
- RocketMQ-过滤消息
- RocketMQ-事务消息
- RocketMQ-消息存储
- RocketMQ-高可用
- RocketMQ-高性能
- RocketMQ-主从复制
- RocketMQ-刷盘机制
- RocketMQ-幂等性
- RocketMQ-消息重试
- RocketMQ-死信队列
...
欢迎各位入(guan)股(zhu)，后续文章干货多多。
