Zookeeper、Kafka分布式集成

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)

 

到此结束！

 

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