【基于XML方式】Spring整合Kafka

1.引入Maven依赖

<dependency>
    <groupId>org.springframework.kafkagroupId>
    <artifactId>spring-kafkaartifactId>
    <version>2.2.2.RELEASEversion>
dependency>

2. kafka.properties文件中配置内容

################## kafkaListener Producer 发送端配置 ##################
# brokers 集群
kafka.producer.bootstrap.servers = 192.168.204.201:9092,192.168.204.202:9092,192.168.204.203:9092
 
#发送端 id
kafka.producer.client.id = producerDemo
 
#发送端确认模式
kafka.producer.acks = -1
 
#发送失败重试次数
kafka.producer.retries = 3
 
#批处理条数,当多个记录被发送至统一分区时，producer对于同一个分区来说，会按照 batch.size 的大小进行统一收集，批量发送
kafka.producer.batch.size = 4096
 
#与 batch.size 配合使用。延迟统一收集，产生聚合，然后批量发送至broker
kafka.producer.linger.ms = 10
 
# 33554432 即32MB的批处理缓冲区
kafka.producer.buffer.memory = 40960
 
#默认 topic
kafka.producer.defaultTopic = testTopic
 
#key 序列化
kafka.producer.key.serializer = org.apache.kafka.common.serialization.StringSerializer
 
#value 序列化
kafka.producer.value.serializer = org.apache.kafka.common.serialization.StringSerializer
 
 
################## kafkaListener Consumer 消费端配置 ##################
 
#消费端 brokers 集群
kafka.consumer.bootstrap.servers = 192.168.204.201:9092,192.168.204.202:9092,192.168.204.203:9092
 
#消费者 group.id 组ID
kafka.consumer.group.id = test-group
 
#消费者消费消息后，进行自动提交(offsets偏移量)
kafka.consumer.enable.auto.commit = true
 
#自动提交的频率(与 enable.auto.commit = true 属性配合使用)
kafka.consumer.auto.commit.interval.ms = 1000
 
#新的groupid,是否从头开始消费
kafka.consumer.auto.offset.reset = earliest
 
#在使用kafka组管理时，发送心跳机制，用于检测消费者故障的超时
#kafka.consumer.session.timeout.ms = 1000
 
#key 反序列化
kafka.consumer.key.deserializer = org.apache.kafka.common.serialization.StringDeserializer
 
#value 反序列化
kafka.consumer.value.deserializer = org.apache.kafka.common.serialization.StringDeserializer
 
#消费端消费的topic
kafka.consumer.topic = testTopic

3. 发送端 producer-kafka.xml 配置

<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
       http://www.springframework.org/schema/beans/spring-beans.xsd">
 
    
    <bean id="producerProperties" class="java.util.HashMap">
        <constructor-arg>
            <map>
                <entry key="bootstrap.servers" value="${kafka.producer.bootstrap.servers}"/>
                <entry key="client.id" value="${kafka.producer.client.id}"/>
                <entry key="retries" value="${kafka.producer.retries}"/>
                <entry key="batch.size" value="${kafka.producer.batch.size}"/>
                <entry key="linger.ms" value="${kafka.producer.linger.ms}"/>
                <entry key="buffer.memory" value="${kafka.producer.buffer.memory}"/>
                <entry key="acks" value="${kafka.producer.acks}"/>
                <entry key="key.serializer" value="${kafka.producer.key.serializer}"/>
                <entry key="value.serializer" value="${kafka.producer.value.serializer}"/>
            map>
        constructor-arg>
    bean>
 
    
    <bean id="producerFactory" class="org.springframework.kafka.core.DefaultKafkaProducerFactory">
        <constructor-arg ref="producerProperties"/>
    bean>
 
    
    <bean id="kafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate">
        
        <constructor-arg name="autoFlush" value="true"/>
        <property name="defaultTopic" value="${kafka.producer.defaultTopic}"/>
    bean>
    
beans>

4. 接收端 consumer-kafka.xml 配置

<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
       http://www.springframework.org/schema/beans/spring-beans.xsd">
 
    
    <bean id="consumerProperties" class="java.util.HashMap">
        <constructor-arg>
            <map>
                <entry key="bootstrap.servers" value="${kafka.consumer.bootstrap.servers}"/>
                <entry key="group.id" value="${kafka.consumer.group.id}"/>
                <entry key="enable.auto.commit" value="${kafka.consumer.enable.auto.commit}"/>
                <entry key="auto.commit.interval.ms" value="${kafka.consumer.auto.commit.interval.ms}"/>
                <entry key="key.deserializer" value="${kafka.consumer.key.deserializer}"/>
                <entry key="value.deserializer" value="${kafka.consumer.value.deserializer}"/>
                <entry key="auto.offset.reset" value="${kafka.consumer.auto.offset.reset}"/>
            map>
        constructor-arg>
    bean>
 
    
    <bean id="consumerFactory" class="org.springframework.kafka.core.DefaultKafkaConsumerFactory">
        <constructor-arg ref="consumerProperties"/>
    bean>
 
    
    <bean id="kafkaConsumerListener" class="com.demo.kafkaListener.KafkaConsumerListener"/>
 
    
    <bean id="containerProperties" class="org.springframework.kafka.listener.ContainerProperties">
        <constructor-arg name="topics">
            <list>
                <value>${kafka.consumer.topic}value>
            list>
        constructor-arg>
        <property name="messageListener" ref="kafkaConsumerListener"/>
    bean>
 
    
    <bean id="messageListenerContainer" class="org.springframework.kafka.listener.KafkaMessageListenerContainer">
        <constructor-arg ref="consumerFactory"/>
        <constructor-arg ref="containerProperties"/>
    bean>
 
beans>

5. kafka消息监听类

/**
 * 监听类的实现
 */
public class KafkaConsumerListener implements MessageListener<String,String> {
 
    public void onMessage(ConsumerRecord<String, String> stringStringConsumerRecord) {
        System.out.println("========消费端收到消息========");
        System.out.println(stringStringConsumerRecord.value());
        //根据不同主题，消费
        if("主题1".equals(stringStringConsumerRecord.topic())){
            //逻辑1
        }else if("主题2".equals(stringStringConsumerRecord.topic())){
            //逻辑2
        }
    }
 
}

6. Controller的实现

@Controller
@RequestMapping("kafka")
public class KafkaController {
 
    @Autowired
    KafkaTemplate kafkaTemplate;
    
    /**
     * 消息发送
     */
    @RequestMapping("producer")
    public String producer(){
        kafkaTemplate.send("testTopic","producer发送消息");
        return "success";
    }
 
}

7. 测试

通过 http://localhsot:8080/kafka/producer
执行消息发送操作，在监听类 KafkaConsumerListener 中完成对消息的消费。

8. 项目链接：

https://github.com/gb-heima/spring-kafka