一,Kafka的安装以及配置
1.下载文件
wget http://mirror.bit.edu.cn/apache/kafka/0.11.0.0/kafka_2.11-0.11.0.0.tgz
2.安装
tar xzvf kafka_2.11-0.11.0.0.tgz -C /usr/local/
3.配置(服务器在阿里云ECS上)
vi %kafka_home%/server.properties
############################# Server Basics #############################
broker.id=0
port=9092
host.name=阿里云内网ip
advertised.host.name=阿里云外网ip
delete.topic.enable=true
....其他的配置不变
二,Spring boot操作Kafka
1.Spring boot pom依赖
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.6.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
2.kafka依赖
<!--kafka支持-->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
3.kafka配置
#kafka相关配置
spring.kafka.bootstrap-servers=阿里云外网ip:9092
#设置一个默认组
spring.kafka.consumer.group-id=defaultGroup
#key-value序列化反序列化
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.batch-size=65536
spring.kafka.producer.buffer-memory=524288
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4.kafka发送代码
@Component
public class KafkaSender {
@Autowired
private KafkaTemplate kafkaTemplate;
/**
* 发送消息到kafka,主题为test
*/
public void sendTest(){
kafkaTemplate.send("test","hello,kafka " + LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss.SSS")));
}
}
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5.Kafka消费代码
public class KafkaConsumer {
/**
* 监听test主题,有消息就读取
* @param message
*/
@KafkaListener(topics = {"test"})
public void consumer(String message){
log.info("test topic message : {}", message);
}
}
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6,启动测试代码
@SpringBootApplication
@EnableScheduling
public class ServerApplication {
@Autowired
private KafkaSender kafkaSender;
public static void main(String[] args) {
SpringApplication.run(ServerApplication.class, args);
}
//然后每隔1分钟执行一次
@Scheduled(fixedRate = 1000 * 60)
public void testKafka() throws Exception {
kafkaSender.sendTest();
}
}
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三,以上就是完整的spring boot整合Kafka消息队列的步骤.