kafka集成到springboot项目中
依赖
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
配置
#============== kafka ===================
# 指定kafka 代理地址,可以多个
spring.kafka.bootstrap-servers=127.0.0.1:9092
#=============== provider =======================
spring.kafka.producer.retries=0
# 每次批量发送消息的数量
spring.kafka.producer.batch-size=16384
spring.kafka.producer.buffer-memory=33554432
# 指定消息key和消息体的编解码方式
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
#=============== consumer =======================
# 指定默认消费者group id
spring.kafka.consumer.group-id=analyse-consumer-group
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.enable-auto-commit=true
spring.kafka.consumer.auto-commit-interval=100
# 指定消息key和消息体的编解码方式
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer
消息提供
@Component
public class MessageSender {
@Autowired
private KafkaTemplate<String,String> kafkaTemplate;
/**
* 发送队列信息
* @param message
*/
public void send(Message message){
System.out.println("++++++发送信息");
// topic:tianhong
kafkaTemplate.send("uuuu1",message.toString());
}
}
消费消息
@Component
public class MessageReceiver {
@KafkaListener(topics = {"LOG"})
public void listen(ConsumerRecord<?, ?> record){
Optional<?> kafkaMessage = Optional.ofNullable(record.value());
if (kafkaMessage.isPresent()) {
Object message = kafkaMessage.get();
System.out.println(message);
}
}
}
本文详细介绍如何将Kafka消息队列集成到Spring Boot项目中,包括必要的Maven依赖、配置参数以及消息发送和接收的代码实现。
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