Apache RocketMQ4.0.0 安装与调试 3/17/2017

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阿里rocketmq,有广泛的应用场景,订单,交易,充值,流计算,消息推送,日志流式处理,binglog分发等多个业务领域。

已正式成为apache项目,也于年前刚发布4.0.0版本,本文初试服务端和客户端

 

1 服务端安装

1.0 安装准备

CentOS release 6.8 (Final)

  1. 64bit OS, Linux/Unix/Mac is recommended;
  2. 64bit JDK 1.7+;
  3. Maven 3.2.x
  4. Git

 

1.1 编译

  > git clone https://github.com/apache/incubator-rocketmq.git
  > cd incubator-rocketmq
  > mvn clean package install -Prelease-all assembly:assembly -U
  > cd target/apache-rocketmq-all/

 

1.2 启动NameServer

 > nohup sh bin/mqnamesrv &
  > tail -f ~/logs/rocketmqlogs/namesrv.log
  The Name Server boot success...

 

1.3 启动Broker

  > nohup sh bin/mqbroker -n localhost:9876 &
  > tail -f ~/logs/rocketmqlogs/broker.log 
  The broker[%s, 172.30.30.233:10911] boot success...

 

 

2 客户端

2.1 客户示例客户端

运行生产者producer

 > export NAMESRV_ADDR=localhost:9876
 > sh bin/tools.sh org.apache.rocketmq.example.quickstart.Producer
 SendResult [sendStatus=SEND_OK, msgId= ...

运行消费者

 > sh bin/tools.sh org.apache.rocketmq.example.quickstart.Consumer
 ConsumeMessageThread_%d Receive New Messages: [MessageExt...

 

2.2 java客户端编写

pom.xmlsg

4.0.0-incubating

    org.apache.rocketmq
    rocketmq-client
    ${rocketmq.version}


    org.apache.rocketmq
    rocketmq-all
    ${rocketmq.version}

 

生产者

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;

import java.util.concurrent.TimeUnit;

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
* 注意:ProducerGroupName需要由应用来保证唯一
* 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 */ DefaultMQProducer producer = new DefaultMQProducer("ProducerGroupName"); producer.setNamesrvAddr("192.168.56.101:9876"); producer.setInstanceName("Producer"); producer.setVipChannelEnabled(false); /** * Producer对象在使用之前必须要调用start初始化,初始化一次即可
* 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,
* 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,
* 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 < 1; i++) { try { { Message msg = new Message("TopicTest1",// topic "TagA",// tag "OrderID001",// key ("Hello MetaQ").getBytes());// body SendResult sendResult = producer.send(msg); System.out.println(sendResult); } { Message msg = new Message("TopicTest2",// topic "TagB",// tag "OrderID0034",// key ("Hello MetaQ").getBytes());// body SendResult sendResult = producer.send(msg); System.out.println(sendResult); } { Message msg = new Message("TopicTest3",// topic "TagC",// tag "OrderID061",// key ("Hello MetaQ").getBytes());// body SendResult sendResult = producer.send(msg); System.out.println(sendResult); } } catch (Exception e) { e.printStackTrace(); } TimeUnit.MILLISECONDS.sleep(1000); } /** * 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(); } }

 

消费者

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.client.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

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。
* 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
*/ 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
* 注意:ConsumerGroupName需要由应用来保证唯一 */ DefaultMQPushConsumer consumer = new DefaultMQPushConsumer( "ConsumerGroupName"); consumer.setNamesrvAddr("192.168.56.101:9876"); 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
* 注意:一个consumer对象可以订阅多个topic */ consumer.subscribe("TopicTest2", "*"); consumer.registerMessageListener(new MessageListenerConcurrently() { /** * 默认msgs里只有一条消息,可以通过设置consumeMessageBatchMaxSize参数来批量接收消息 */ @Override public ConsumeConcurrentlyStatus consumeMessage( List 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 && msg.getTags().equals("TagA")) { // 执行TagA的消费 System.out.println(new String(msg.getBody())); } else if (msg.getTags() != null && msg.getTags().equals("TagC")) { // 执行TagC的消费 } else if (msg.getTags() != null && msg.getTags().equals("TagD")) { // 执行TagD的消费 } } else if (msg.getTopic().equals("TopicTest2")) { System.out.println(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
*/ consumer.start(); System.out.println("Consumer Started."); } }

 

安装中问题汇总:

> nohup sh bin/mqnamesrv &

先不使用以上命令,如果出错,不会有显示

使用

sh bin/mqnamesrv

出现以下问题

#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 805306368 bytes for committing reserved memory.
# Possible reasons:
# The system is out of physical RAM or swap space
# In 32 bit mode, the process size limit was hit
# Possible solutions:
# Reduce memory load on the system
# Increase physical memory or swap space
# Check if swap backing store is full
# Use 64 bit Java on a 64 bit OS
# Decrease Java heap size (-Xmx/-Xms)
# Decrease number of Java threads
# Decrease Java thread stack sizes (-Xss)
# Set larger code cache with -XX:ReservedCodeCacheSize=
# This output file may be truncated or incomplete.
#
# Out of Memory Error (os_linux.cpp:2627), pid=1864, tid=0x00007f94d8319700

原因:rocketmq默认jvm配置较高,导致内存不足

解决:

runserver.sh

改成

JAVA_OPT="${JAVA_OPT} -server -Xms256m -Xmx256m -Xmn128m -XX:PermSize=128m -XX:MaxPermSize=320m"

 

同理,运行其他命令也建议先使用sh来运行,解决方法如下

runbroker.sh

JAVA_OPT="${JAVA_OPT} -server -Xms8g -Xmx8g -Xmn4g"

改成:

JAVA_OPT="${JAVA_OPT} -server -Xms256m -Xmx256m -Xmn128m

 

tools.sh

JAVA_OPT="${JAVA_OPT} -server -Xms1g -Xmx1g -Xmn256m -XX:PermSize=128m -XX:MaxPermSize=128m"

改成

JAVA_OPT="${JAVA_OPT} -server -Xms256m -Xmx256m -Xmn128m -XX:PermSize=128m -XX:MaxPermSize=128m"

 

 

调试时问题汇总:

运行java客户端的Producer.java,出现

Caused by: org.apache.rocketmq.remoting.exception.RemotingConnectException: connect to <*****:10911> failed

经调试,

org.apache.rocketmq.client.impl.producer.DefaultMQProducerImpl
String brokerAddr = this.mQClientFactory.findBrokerAddressInPublish(mq.getBrokerName());

通过broderName获取到的ip不正确

解决:临时解决方案是断点在该代码下方,将brokerAddr设置为正确ip

 

reference:

https://rocketmq.incubator.apache.org/docs/quick-start/

http://www.tuicool.com/articles/mEBVneB

 

扩展阅读:

RocketMQ与Kafka对比(18项差异) http://blog.csdn.net/damacheng/article/details/42846549

Rocketmq源码分析(一)整体架构 https://yq.aliyun.com/articles/61141#

RocketMQ 源码分析 http://blog.csdn.net/vonzhoufz/article/details/47191883

转载于:https://my.oschina.net/jayronwang/blog/861396

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