Honghu的消息服务平台已经抛弃了之前的ActiveMQ，改用高吞吐量比较大的Kafka分布式消息中间件方案：
kafka消息平台使用spring+kafka的集成方案，
详情如下：
1 . 使用最高版本2.1.0.RELEASE集成jar包：spring-integration-kafka
2 . Zookeeper、Kafka分布式集群使用init.properties配置化方案。
kafka.servers=127.0.0.1:9092
kafka.topic=xxxooo
3 . 使用消息生产者spring-context-producer配置化方案。
<?xml version="1.0" encoding="utf-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">
<!-- 定义producer的参数 -->
<bean id="producerProperties" class="java.util.HashMap">
<constructor-arg>
<map>
<entry key="bootstrap.servers" value="localhost:9092" />
<entry key="group.id" value="2" />
<entry key="retries" value="10" />
<entry key="batch.size" value="16384" />
<entry key="linger.ms" value="1" />
<entry key="buffer.memory" value="33554432" />
<entry key="key.serializer" value="org.apache.kafka.common.serialization.IntegerSerializer" />
<entry key="value.serializer" value="org.apache.kafka.common.serialization.StringSerializer" />
</map>
</constructor-arg>
</bean>
<!-- 创建kafkatemplate需要使用的producerfactory bean -->
<bean id="producerFactory" class="org.springframework.kafka.core.DefaultKafkaProducerFactory">
<constructor-arg>
<ref bean="producerProperties" />
</constructor-arg>
</bean>
<!-- 创建kafkatemplate bean，使用的时候，只需要注入这个bean，即可使用template的send消息方法 -->
<bean id="KafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate">
<constructor-arg ref="producerFactory" />
<constructor-arg name="autoFlush" value="true" />
<property name="defaultTopic" value="test" />
</bean>
</beans>
4 . 使用消息消费者spring-context-producer配置化方案。
<?xml version="1.0" encoding="utf-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">
<!-- 定义consumer的参数 -->
<bean id="consumerProperties" class="java.util.HashMap">
<constructor-arg>
<map>
<entry key="bootstrap.servers" value="localhost:9092" />
<entry key="group.id" value="0" />
<entry key="enable.auto.commit" value="true" />
<entry key="auto.commit.interval.ms" value="1000" />
<entry key="session.timeout.ms" value="15000" />
<entry key="key.deserializer" value="org.apache.kafka.common.serialization.IntegerDeserializer" />
<entry key="value.deserializer" value="org.apache.kafka.common.serialization.StringDeserializer" />
</map>
</constructor-arg>
</bean>
<!-- 创建consumerFactory bean -->
<bean id="consumerFactory" class="org.springframework.kafka.core.DefaultKafkaConsumerFactory">
<constructor-arg>
<ref bean="consumerProperties" />
</constructor-arg>
</bean>
<!-- 实际执行消息消费的类 -->
<bean id="messageListernerConsumerService" class="com.sml.sz.kafka.KafKaConsumer" />
<!-- 消费者容器配置信息 -->
<bean id="containerProperties" class="org.springframework.kafka.listener.config.ContainerProperties">
<constructor-arg value="test" />
<property name="messageListener" ref="messageListernerConsumerService" />
</bean>
<!-- 创建kafkatemplate bean，使用的时候，只需要注入这个bean，即可使用template的send消息方法 -->
<bean id="messageListenerContainer" class="org.springframework.kafka.listener.KafkaMessageListenerContainer" init-method="doStart">
<constructor-arg ref="consumerFactory" />
<constructor-arg ref="containerProperties" />
</bean>
</beans>
5 . 使用注解方式注入消息类型
@Autowired
private KafkaTemplate<xxx, ooo> kafkaTemplate;
6 . 重写MessageListener 的getMessage方法获取消息（业务实现）
7 . RestFul服务方式测试消息服务
@CrossOrigin(origins = "*", maxAge = 3600, methods = { RequestMethod.GET, RequestMethod.POST, RequestMethod.DELETE,
RequestMethod.PUT })
@RestController
@RequestMapping(value = "/rest/kafka")
public class KafKaProducer {
@RequestMapping(value = "/send", method = RequestMethod.GET)
public JSONObject save() {
System.out.println("+++++++++++++++++++++++++++++++");
kafkaTemplate.sendDefault("HongHu KAFKA分布式消息服务测试");
return null;
}
@Autowired
private KafkaTemplate<Integer, String> kafkaTemplate;
}
@RestController
public class KafKaConsumer implements MessageListener<Integer, String> {
@Autowired
private LogService logService;
public void onMessage( ConsumerRecord<Integer, String> records )
{
System.out.println( "====================" + records );
Object o = records.value();
Log log = new Log();
log.setIsNewRecord( true );
log.setId( IdGen.uuid() );
log.setTitle( String.valueOf( o ) );
logService.save( log );
}
}
接受消息了------------------:ConsumerRecord(topic = xxxooo, partition = 0, offset = 2489, CreateTime = 1479647648299, checksum = 3372898135, serialized key size = -1, serialized value size = 40, key = null, value = HongHu KAFKA分布式消息服务测试)
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