1、在官网下载RocketMQ,下载完解压即可,下面也主要是根据官网来进行操作的,同时也适当地借鉴了其他blog。
2、添加环境变量:
ROCKETMQ_HOME="D: ocketmq" NAMESRV_ADDR="localhost:9876"
3、启动Name Server
mqnamesrv.cmd
4、启动Broker,如果启动失败,删除C:Users"当前系统用户名"store下的所有文件,注意要添加autoCreateTopicEnable=true 否则在创建消息组时会报错:MQClientException: No route info of this topic
mqbroker.cmd -n localhost:9876 autoCreateTopicEnable=true
5、创建Maven工程,添加RocketMQ依赖,注意版本要和自己的服务器(下载的版本一致),否则可能会出现MQClientException: No route info of this topic这个错误
<dependency> <groupId>org.apache.rocketmq</groupId> <artifactId>rocketmq-client</artifactId> <version>4.6.0</version> </dependency>
6、provider:
package provider; import com.sun.xml.internal.bind.api.impl.NameConverter; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.client.producer.DefaultMQProducer; import org.apache.rocketmq.client.producer.SendResult; import org.apache.rocketmq.common.message.Message; public class Pro { public static void main(String [] args){ DefaultMQProducer defaultMQProducer = new DefaultMQProducer("Demo"); defaultMQProducer.setNamesrvAddr("localhost:9876"); try { defaultMQProducer.start(); for(int i = 0;i<100;i++){ try { Message message = new Message("Topic1","Tag1", ("Hello World"+i).getBytes("UTF-8")); SendResult sendResult = defaultMQProducer.send(message); //defaultMQProducer.sendOneway(message); } catch (Exception e) { e.printStackTrace(); } } defaultMQProducer.shutdown(); } catch (MQClientException e) { e.printStackTrace(); } } }
7、consumer
package consumer; import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer; import org.apache.rocketmq.client.consumer.listener.*; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.common.message.MessageExt; import java.util.List; public class Consumer { public static void main(String [] args){ DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("ConsumerDemo"); consumer.setNamesrvAddr("localhost:9876"); try { consumer.subscribe("Topic1","*"); consumer.registerMessageListener(new MessageListenerConcurrently() { public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> list, ConsumeConcurrentlyContext consumeConcurrentlyContext) { for(MessageExt messageExt :list){ String str = new String(messageExt.getBody()); System.out.println(str); } try { Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } return ConsumeConcurrentlyStatus.CONSUME_SUCCESS; } }); // consumer.registerMessageListener(new MessageListenerOrderly() { // public ConsumeOrderlyStatus consumeMessage(List<MessageExt> list, ConsumeOrderlyContext consumeOrderlyContext) { // for(MessageExt messageExt :list){ // String str = new String(messageExt.getBody()); // System.out.println(str); // } // return ConsumeOrderlyStatus.SUCCESS; // } // }); consumer.start(); } catch (Exception e) { e.printStackTrace(); } } }
7、输出结果,可以看到输出的结果并不是很一致。
先看看RocketMQ架构图
1,启动Namesrv,Namesrv起来后监听端口,等待Broker、Produer、Consumer连上来,相当于一个路由控制中心。
2,Broker启动,跟所有的Namesrv保持长连接,定时发送心跳包。心跳包中包含当前Broker信息(IP+端口等)以及存储所有topic信息。注册成功后,namesrv集群中就有Topic跟Broker的映射关系。
3,收发消息前,先创建topic,创建topic时需要指定该topic要存储在哪些Broker上。也可以在发送消息时自动创建Topic。
4,Producer发送消息,启动时先跟Namesrv集群中的其中一台建立长连接,并从Namesrv中获取当前发送的Topic存在哪些Broker上,然后跟对应的Broker建立长连接,直接向Broker发消息。
5,Consumer跟Producer类似。跟其中一台Namesrv建立长连接,获取当前订阅Topic存在哪些Broker上,然后直接跟Broker建立连接通道,开始消费消息。
再看看消息框架图:
可以看到在同一个Topic下的消息在被放在了不同的broker,并且在同一个broker下,存放在不同的队列当中,虽然本地运行时只有一个broker,但是还是有很多队列,所以消息获取者获取到消息顺序是不一定的。
进行改进:
provide:在这里将同一业务流程放在一同一队列
package provider; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.client.producer.DefaultMQProducer; import org.apache.rocketmq.client.producer.MessageQueueSelector; import org.apache.rocketmq.client.producer.SendResult; import org.apache.rocketmq.common.message.Message; import org.apache.rocketmq.common.message.MessageQueue; import org.apache.rocketmq.remoting.common.RemotingHelper; import java.util.List; import java.util.Scanner; public class Pro { public static void main(String [] args){ DefaultMQProducer defaultMQProducer = new DefaultMQProducer("Demo"); defaultMQProducer.setNamesrvAddr("localhost:9876"); String[] tags = new String[]{"创建订单", "支付", "发货", "收货", "五星好评"}; try { defaultMQProducer.start(); for(int i = 0;i<100;i++){ int ordId = i /5 +1; try { Message message = new Message("Topic1",tags[i%5],"ID"+i, ("order"+ordId+":"+tags[i%5]).getBytes(RemotingHelper.DEFAULT_CHARSET)); //SendResult sendResult = defaultMQProducer.send(message); //defaultMQProducer.sendOneway(message); SendResult sendResult = defaultMQProducer.send(message,new MessageQueueSelector(){ public MessageQueue select(List<MessageQueue> list, Message message, Object o) { System.out.println(list.size()+" message:"+message.toString()+" o:"+o); //o即为ordId Integer id = (Integer) o; int index = id % list.size(); return list.get(index); } },ordId); System.out.printf("%s%n",sendResult); } catch (Exception e) { e.printStackTrace(); } } defaultMQProducer.shutdown(); } catch (MQClientException e) { e.printStackTrace(); } } }
consumer:在这里消息接收换了个函数,在这里同一队列里面的消息是按顺序消费的
package consumer; import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer; import org.apache.rocketmq.client.consumer.listener.*; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.common.message.MessageExt; import java.util.List; public class Consumer { public static void main(String [] args){ DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("ConsumerDemo"); consumer.setNamesrvAddr("localhost:9876"); try { consumer.subscribe("Topic1","*"); // consumer.registerMessageListener(new MessageListenerConcurrently() { // public ConsumeConcurrentlyStatus // consumeMessage(List<MessageExt> list, // ConsumeConcurrentlyContext consumeConcurrentlyContext) { // for(MessageExt messageExt :list){ // String str = new String(messageExt.getBody()); // System.out.println(str); // } // try { // Thread.sleep(1000); // } catch (InterruptedException e) { // e.printStackTrace(); // } // return ConsumeConcurrentlyStatus.CONSUME_SUCCESS; // } // }); consumer.registerMessageListener(new MessageListenerOrderly() { public ConsumeOrderlyStatus consumeMessage(List<MessageExt> list, ConsumeOrderlyContext consumeOrderlyContext) { for(MessageExt messageExt :list){ String str = new String(messageExt.getBody()); System.out.println(str); } return ConsumeOrderlyStatus.SUCCESS; } }); consumer.start(); } catch (Exception e) { e.printStackTrace(); } } }
结果如下:可以看到同一订单的顺序没有打乱
那如何把所有的消息都按顺序执行呢,放在一个队列就可以了,就是把上面的return语句改为 return list.get(0),但是这样做肯定会牺牲效率的,下面是演示结果
producer发送消息的三种方式:
可靠同步消息:同步发送是指消息发送方发出数据后,会在收到接收方发回响应之后才发下一个数据包的通讯方式。在代码中也可以看到发送完每一个message后都会有一个SendResult返回,这个当消息存在顺序问题时可以使用
package provider; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.client.producer.DefaultMQProducer; import org.apache.rocketmq.client.producer.MessageQueueSelector; import org.apache.rocketmq.client.producer.SendResult; import org.apache.rocketmq.common.message.Message; import org.apache.rocketmq.common.message.MessageQueue; import org.apache.rocketmq.remoting.common.RemotingHelper; import java.util.List; import java.util.Scanner; public class Pro { public static void main(String [] args){ DefaultMQProducer defaultMQProducer = new DefaultMQProducer("Demo"); defaultMQProducer.setNamesrvAddr("localhost:9876"); String[] tags = new String[]{"创建订单", "支付", "发货", "收货", "五星好评"}; try { defaultMQProducer.start(); for(int i = 0;i<100;i++){ int ordId = i /5 +1; try { Message message = new Message("Topic1",tags[i%5],"ID"+i, ("order"+ordId+":"+tags[i%5]).getBytes(RemotingHelper.DEFAULT_CHARSET)); SendResult sendResult = defaultMQProducer.send(message); // //defaultMQProducer.sendOneway(message); // SendResult sendResult = defaultMQProducer.send(message,new MessageQueueSelector(){ // public MessageQueue select(List<MessageQueue> list, Message message, Object o) { // System.out.println(list.size()+" message:"+message.toString()+" o:"+o); // //o即为ordId // Integer id = (Integer) o; // int index = id % list.size(); // return list.get(index); // } // },ordId); System.out.printf("%s%n",sendResult); } catch (Exception e) { e.printStackTrace(); } } Scanner scanner = new Scanner(System.in); defaultMQProducer.shutdown(); } catch (MQClientException e) { e.printStackTrace(); } } }
2、可靠异步发送,异步发送是指发送方发出数据后,不等接收方发回响应,接着发送下个数据包的通讯方式。由于是发了消息继续发第二个消息,可能消息响应没那么及时,因此这里用了countdownLatch,在5s内如果能接收到所有响应,结束程序,如果5s内不能收到,5s后结束程序,当然也可以使用countdownLatch.awite()得到所以的响应后停止程序。这个当消息顺序不重要时可以使用,如抢购,拼网速。
int messageCount = 100; defaultMQProducer.setRetryTimesWhenSendAsyncFailed(0); final CountDownLatch countDownLatch = new CountDownLatch(messageCount); for (int i = 0; i < messageCount; i++) { try { final int index = i; Message msg = new Message("Jodie_topic_1023", "TagA", "OrderID188", "Hello world".getBytes(RemotingHelper.DEFAULT_CHARSET)); defaultMQProducer.send(msg, new SendCallback() { public void onSuccess(SendResult sendResult) { countDownLatch.countDown(); System.out.printf("%-10d OK %s %n", index, sendResult.getMsgId()); } public void onException(Throwable e) { countDownLatch.countDown(); System.out.printf("%-10d Exception %s %n", index, e); e.printStackTrace(); } }); } catch (Exception e) { e.printStackTrace(); } } countDownLatch.await(5, TimeUnit.SECONDS); defaultMQProducer.shutdown();
3、单向(Oneway)发送,单向(Oneway)发送特点为发送方只负责发送消息,不等待服务器回应且没有回调函数触发,即只发送请求不等待应答。但是可能存在消息没有完全交付。可以看到producer.sendOneway(msg)并没有返回结果。
producer.setNamesrvAddr("localhost:9876"); //Launch the instance. producer.start(); for (int i = 0; i < 100; i++) { //Create a message instance, specifying topic, tag and message body. Message msg = new Message("TopicTest" /* Topic */, "TagA" /* Tag */, ("Hello RocketMQ " + i).getBytes(RemotingHelper.DEFAULT_CHARSET) /* Message body */ ); //Call send message to deliver message to one of brokers. producer.sendOneway(msg); }
消息广播:broadcasting ,官网描述很清晰:Broadcasting is sending a message to all subscribers of a topic. If you want all subscribers receive messages about a topic, broadcasting is a good choice.就是发送方发消息时,所有订阅该topic的消费者都会收到这个消息。
这个主要是消息接收者做出改变:
package consumer; import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer; import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyContext; import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyStatus; import org.apache.rocketmq.client.consumer.listener.MessageListenerConcurrently; import org.apache.rocketmq.common.consumer.ConsumeFromWhere; import org.apache.rocketmq.common.message.MessageExt; import org.apache.rocketmq.common.protocol.heartbeat.MessageModel; import java.util.List; public class ConsumerBroadcast { public static void main(String[] args) throws Exception { DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("example_group_name"); //一个新的订阅组第一次启动从队列的最后位置开始消费 consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_LAST_OFFSET); //set to broadcast mode consumer.setMessageModel(MessageModel.BROADCASTING); //订阅主题 consumer.subscribe("Topic1", "TagA || TagC || TagD"); consumer.registerMessageListener(new MessageListenerConcurrently() { public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs, ConsumeConcurrentlyContext context) { System.out.printf(Thread.currentThread().getName() + " Receive New Messages: " + msgs + "%n"); return ConsumeConcurrentlyStatus.CONSUME_SUCCESS; } }); consumer.start(); System.out.printf("Broadcast Consumer Started.%n"); } }
定时发送与接收
目前RocketMQ只支持固定精度级别的定时消息,服务器按照1-N定义了如下级别: “1s 5s 10s 30s 1m 2m 3m 4m 5m 6m 7m 8m 9m 10m 20m 30m 1h 2h”;;若要发送定时消息,在应用层初始化Message消息对象之后,调用setDelayTimeLevel(int level)方法来设置延迟级别,按照序列取相应的延迟级别,例如level=2,则延迟为5s:
通过运行 下面的代码中可以看到发送消息并没有延迟,因为我的程序只睡了5s,但是消息时全部发送了的,通过SendResult可以看到,但是当我们提前打开消息接收方时,然后在打开消息发送方,可以看到消息发送10s后消息接收方才收到。
package provider; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.client.producer.DefaultMQProducer; import org.apache.rocketmq.client.producer.MessageQueueSelector; import org.apache.rocketmq.client.producer.SendCallback; import org.apache.rocketmq.client.producer.SendResult; import org.apache.rocketmq.common.message.Message; import org.apache.rocketmq.common.message.MessageQueue; import org.apache.rocketmq.remoting.common.RemotingHelper; import java.util.List; import java.util.Scanner; import java.util.concurrent.CountDownLatch; import java.util.concurrent.TimeUnit; public class Pro { public static void main(String [] args){ DefaultMQProducer defaultMQProducer = new DefaultMQProducer("Demo"); defaultMQProducer.setNamesrvAddr("localhost:9876"); String[] tags = new String[]{"创建订单", "支付", "发货", "收货", "五星好评"}; try { defaultMQProducer.start(); for(int i = 0;i<100;i++){ int ordId = i /5 +1; try { Message message = new Message("Topic1",tags[i%5],"ID"+i, ("order"+ordId+":"+tags[i%5]).getBytes(RemotingHelper.DEFAULT_CHARSET)); message.setDelayTimeLevel(3); SendResult sendResult = defaultMQProducer.send(message); // //defaultMQProducer.sendOneway(message); // SendResult sendResult = defaultMQProducer.send(message,new MessageQueueSelector(){ // public MessageQueue select(List<MessageQueue> list, Message message, Object o) { // System.out.println(list.size()+" message:"+message.toString()+" o:"+o); // //o即为ordId // Integer id = (Integer) o; // int index = id % list.size(); // return list.get(index); // } // },ordId); System.out.printf("%s%n",sendResult); } catch (Exception e) { e.printStackTrace(); } } Thread.sleep(5000); defaultMQProducer.shutdown(); } catch (Exception e) { e.printStackTrace(); } } }
batch :一次可以发送多个消息,但是整个一次发送消息的大小不能超过1M,List<Message> messages = new ArrayList<>();
Filter过滤:SQL feature could do some calculation through the properties you put in when sending messages.可以在发送消息添加属性,然后通过SQL做些计算来过滤掉不相干的消息。
provider:
package provider; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.client.producer.DefaultMQProducer; import org.apache.rocketmq.client.producer.MessageQueueSelector; import org.apache.rocketmq.client.producer.SendCallback; import org.apache.rocketmq.client.producer.SendResult; import org.apache.rocketmq.common.message.Message; import org.apache.rocketmq.common.message.MessageQueue; import org.apache.rocketmq.remoting.common.RemotingHelper; import java.util.List; import java.util.Scanner; import java.util.concurrent.CountDownLatch; import java.util.concurrent.TimeUnit; public class Pro { public static void main(String [] args){ DefaultMQProducer defaultMQProducer = new DefaultMQProducer("Demo"); defaultMQProducer.setNamesrvAddr("localhost:9876"); String[] tags = new String[]{"创建订单", "支付", "发货", "收货", "五星好评"}; try { defaultMQProducer.start(); for(int i = 0;i<100;i++){ int ordId = i /5 +1; try { Message message = new Message("Topic1",tags[i%5],"ID"+i, ("order"+ordId+":"+tags[i%5]).getBytes(RemotingHelper.DEFAULT_CHARSET)); // message.setDelayTimeLevel(3); message.putUserProperty("ordId",String.valueOf(ordId)); SendResult sendResult = defaultMQProducer.send(message); // //defaultMQProducer.sendOneway(message); // SendResult sendResult = defaultMQProducer.send(message,new MessageQueueSelector(){ // public MessageQueue select(List<MessageQueue> list, Message message, Object o) { // System.out.println(list.size()+" message:"+message.toString()+" o:"+o); // //o即为ordId // Integer id = (Integer) o; // int index = id % list.size(); // return list.get(index); // } // },ordId); System.out.printf("%s%n",sendResult); } catch (Exception e) { e.printStackTrace(); } } Thread.sleep(5000); defaultMQProducer.shutdown(); } catch (Exception e) { e.printStackTrace(); } } }
consumer:只接收订单单号为1的订单消息
package consumer; import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer; import org.apache.rocketmq.client.consumer.MessageSelector; import org.apache.rocketmq.client.consumer.listener.*; import org.apache.rocketmq.client.exception.MQClientException; import org.apache.rocketmq.common.consumer.ConsumeFromWhere; import org.apache.rocketmq.common.message.MessageExt; import java.util.List; public class Consumer { public static void main(String [] args){ DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("ConsumerDemo"); consumer.setNamesrvAddr("localhost:9876"); try { consumer.subscribe("Topic1",MessageSelector.bySql("ordId = 1")); consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_LAST_OFFSET); consumer.registerMessageListener(new MessageListenerConcurrently() { public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> list, ConsumeConcurrentlyContext consumeConcurrentlyContext) { for(MessageExt messageExt :list){ String str = new String(messageExt.getBody()); System.out.println(str); } return ConsumeConcurrentlyStatus.CONSUME_SUCCESS; } }); // consumer.registerMessageListener(new MessageListenerOrderly() { // public ConsumeOrderlyStatus consumeMessage(List<MessageExt> list, ConsumeOrderlyContext consumeOrderlyContext) { // for(MessageExt messageExt :list){ // String str = new String(messageExt.getBody()); // System.out.println(str); // } // return ConsumeOrderlyStatus.SUCCESS; // } // }); consumer.start(); } catch (Exception e) { e.printStackTrace(); } } }
运行后出现如下面的错误:
网上的解决办法是:/conf/broker.conf文件下面添加:enablePropertyFilter=true
然后用 start mqbroker.cmd -n 127.0.0.1:9876 -c ../conf/broker.conf来启动,用这个方法也确实成功了
但是每次启动broker时都要使用start mqbroker.cmd -n 127.0.0.1:9876 -c ../conf/broker.conf这个来启动,暂时还没想到其他方法,如有其他方法也请告诉我,我找到了也会更新blog