JAVA代码之RocketMQ生产和消费数据
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一、启动RocketMQ
[[email protected] ~]# cat /etc/hosts
# Do not remove the following line, or various programs
# that require network functionality will fail.
127.0.0.1 localhost.localdomain localhost
::1 localhost6.localdomain6 localhost6
192.168.1.106 node1
192.168.1.103 master
192.168.1.110 node2
[[email protected] ~]# cd /opt/alibaba-rocketmq/bin/
[[email protected] bin]# cat play.sh
#!/bin/sh
#
# Name Server
#
nohup sh mqnamesrv > ns.log 2>&1 &
#
# Service Addr
#
ADDR=`hostname -i`:9876
#
# Broker
#
nohup sh mqbroker -n ${ADDR} > bk.log 2>&1 &
echo "Start Name Server and Broker Successfully, ${ADDR}"
[[email protected] bin]# sh play.sh
Start Name Server and Broker Successfully, 192.168.1.103:9876
[[email protected] bin]# sh mqadmin topicList -n 192.168.1.103:9876
BenchmarkTest
DefaultCluster
SELF_TEST_TOPIC
%RETRY%please_rename_unique_group_name_4
TBW102
gaojingsong
master
OFFSET_MOVED_EVENT
[[email protected] bin]# cd ../
备注:此时topic不存在,但是生产数据的时候会自动创建
二、生产和消费数据
生产:下载
package cn.cn.mq.demo;
import java.util.concurrent.TimeUnit;
import com.alibaba.rocketmq.client.exception.MQClientException;
import com.alibaba.rocketmq.client.producer.DefaultMQProducer;
import com.alibaba.rocketmq.client.producer.SendResult;
import com.alibaba.rocketmq.common.message.Message;
public class Producer {
public static void main(String[] args) throws MQClientException,
InterruptedException{
/**
* 一个应用创建一个Producer,由应用来维护此对象,可以设置为全局对象或者单例<br>
* 注意:ProducerGroupName需要由应用来保证唯一<br>
* ProducerGroup这个概念发送普通的消息时,作用不大,但是发送分布式事务消息时,比较关键,
* 因为服务器会回查这个Group下的任意一个Producer
*/
final DefaultMQProducer producer = new DefaultMQProducer("ProducerGroupName");
producer.setNamesrvAddr("192.168.1.103:9876");
producer.setInstanceName("Producer");
/**
* Producer对象在使用之前必须要调用start初始化,初始化一次即可<br>
* 注意:切记不可以在每次发送消息时,都调用start方法
*/
producer.start();
/**
* 下面这段代码表明一个Producer对象可以发送多个topic,多个tag的消息。
* 注意:send方法是同步调用,只要不抛异常就标识成功。但是发送成功也可会有多种状态,<br>
* 例如消息写入Master成功,但是Slave不成功,这种情况消息属于成功,但是对于个别应用如果对消息可靠性要求极高,<br>
* 需要对这种情况做处理。另外,消息可能会存在发送失败的情况,失败重试由应用来处理。
*/
for (int i = 0; i < 3; i++){
try {
{
Message msg = new Message("TopicTest1",// topic
"TagA",// tag
"OrderID001",// key
("我的名字是程序员:"+i).getBytes());// body
SendResult sendResult = producer.send(msg);
System.out.println(sendResult);
}
{
Message msg = new Message("TopicTest1",// topic
"TagC",// tag
"OrderID001",// key
("我来测试RocketMQ:"+i).getBytes());// body
SendResult sendResult = producer.send(msg);
System.out.println(sendResult);
}
}catch(Exception e) {
e.printStackTrace();
}
TimeUnit.MILLISECONDS.sleep(4000);
}
/**
* 应用退出时,要调用shutdown来清理资源,关闭网络连接,从MetaQ服务器上注销自己
* 注意:我们建议应用在JBOSS、Tomcat等容器的退出钩子里调用shutdown方法
*/
// producer.shutdown();
Runtime.getRuntime().addShutdownHook(new Thread(new Runnable() {
public void run() {
producer.shutdown();
}
}));
System.exit(0);
}
}
消费:下载
package cn.cn.mq.demo;
import java.util.List;
import com.alibaba.rocketmq.client.consumer.DefaultMQPushConsumer;
import com.alibaba.rocketmq.client.consumer.listener.ConsumeConcurrentlyContext;
import com.alibaba.rocketmq.client.consumer.listener.ConsumeConcurrentlyStatus;
import com.alibaba.rocketmq.client.consumer.listener.MessageListenerConcurrently;
import com.alibaba.rocketmq.client.exception.MQClientException;
import com.alibaba.rocketmq.common.message.MessageExt;
public class PushConsumer {
/**
* 当前例子是PushConsumer用法,使用方式给用户感觉是消息从RocketMQ服务器推到了应用客户端。<br>
* 但是实际PushConsumer内部是使用长轮询Pull方式从MetaQ服务器拉消息,然后再回调用户Listener方法<br>
*/
public static void main(String[] args) throws InterruptedException,
MQClientException {
/**
* 一个应用创建一个Consumer,由应用来维护此对象,可以设置为全局对象或者单例<br>
* 注意:ConsumerGroupName需要由应用来保证唯一
*/
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer(
"ConsumerGroupName");
consumer.setNamesrvAddr("192.168.1.103:9876");
consumer.setInstanceName("Consumber");
/**
* 订阅指定topic下tags分别等于TagA或TagC或TagD
*/
consumer.subscribe("TopicTest1", "TagA || TagC || TagD");
/**
* 订阅指定topic下所有消息<br>
* 注意:一个consumer对象可以订阅多个topic
*/
//consumer.subscribe("TopicTest2", "*");
consumer.registerMessageListener(new MessageListenerConcurrently() {
public ConsumeConcurrentlyStatus consumeMessage(
List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
System.out.println(Thread.currentThread().getName()
+ " Receive New Messages: " + msgs.size());
MessageExt msg = msgs.get(0);
if (msg.getTopic().equals("TopicTest1")) {
// 执行TopicTest1的消费逻辑
if (msg.getTags() != null // 执行TagA的消费
&& msg.getTags().equals("TagA")) {
System.out.println("TagA:"+new String(msg.getBody()));
} else if (msg.getTags() != null// 执行TagC的消费
&& msg.getTags().equals("TagC")) {
System.out.println("TagC:"+new String(msg.getBody()));
} else if (msg.getTags() != null// 执行TagD的消费
&& msg.getTags().equals("TagD")) {
System.out.println("TagD:"+new String(msg.getBody()));
}
}
return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
}
});
/**
* Consumer对象在使用之前必须要调用start初始化,初始化一次即可<br>
*/
consumer.start();
System.out.println("ConsumerStarted.");
}
}
三、验证消费结果 下载
[[email protected] bin]# sh mqadmin topicList -n 192.168.1.103:9876
BenchmarkTest
TopicTest1
DefaultCluster
SELF_TEST_TOPIC
%RETRY%please_rename_unique_group_name_4
%RETRY%ConsumerGroupName
TBW102
gaojingsong
master
OFFSET_MOVED_EVENT
[[email protected] bin]# sh mqadmin topicStatus -n 192.168.1.103:9876 -t TopicTest1
#Broker Name #QID #Min Offset #Max Offset #Last Updated
master 0 0 4 2016-10-20 14:38:19,236
master 1 0 4 2016-10-20 14:38:19,243
master 2 0 2 2016-10-20 14:38:15,171
master 3 0 2 2016-10-20 14:38:15,180
[[email protected] bin]# shutdown -h now
消费数据
四、错误解决方案 下载
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