1.引入Maven依赖

<!-- 添加spring-kafka支持 -->
<dependency><groupId>org.springframework.kafka</groupId><artifactId>spring-kafka</artifactId><version>2.2.2.RELEASE</version>
</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

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://www.springframework.org/schema/beanshttp://www.springframework.org/schema/beans/spring-beans.xsd"><!-- 1.定义producer的参数 --><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="${kafka.producer.value.serializer}"/></map></constructor-arg></bean><!-- 2.创建 kafkaTemplate 需要使用的 producerFactory Bean --><bean id="producerFactory" class="org.springframework.kafka.core.DefaultKafkaProducerFactory"><constructor-arg ref="producerProperties"/></bean><!-- 3.创建 kafkaTemplate Bean,使用的时候只需要注入这个bean，即可使用kafkaTemplate的 send 消息方法 --><bean id="kafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate"><constructor-arg ref ="producerFactory"/><constructor-arg name="autoFlush" value="true"/><property name="defaultTopic" value="${kafka.producer.defaultTopic}"/></bean></beans>

4. 接收端 consumer-kafka.xml 配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://www.springframework.org/schema/beanshttp://www.springframework.org/schema/beans/spring-beans.xsd"><!-- 1.定义 consumer 的参数 --><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="${kafka.consumer.auto.offset.reset}"/></map></constructor-arg></bean><!-- 2.创建 consumerFactory bean --><bean id="consumerFactory" class="org.springframework.kafka.core.DefaultKafkaConsumerFactory"><constructor-arg ref="consumerProperties"/></bean><!-- 3.配置消费端 Kafka 监听实现类(自己实现) --><bean id="kafkaConsumerListener" class="com.demo.kafkaListener.KafkaConsumerListener"/><!-- 4.消费者容器配置 --><bean id="containerProperties" class="org.springframework.kafka.listener.ContainerProperties"><constructor-arg name="topics"><list><value>${kafka.consumer.topic}</value></list></constructor-arg><property name="messageListener" ref="kafkaConsumerListener"/></bean><!-- 5.消费者并发消息监听容器 --><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 {@AutowiredKafkaTemplate 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