但是@EnableConfigurationProperties({Bean.class}))和@Component不能一起使用,因为@EnableConfigurationProperties({Bean.class}))的意思就相当于把Bean注入spring容器,不然springboot不能启动,报错如下 意思是你的应用类里面需要一个Bean,但是找到两个Bean。因此这两个注解不能同时使用! 如果要同时使用@EnableConfiguration...
@Primary@ConfigurationProperties(prefix = "lybgeek.kafka.one")@BeanpublicKafkaPropertiesoneKafkaProperties(){returnnewKafkaProperties(); } 如果有多个就配置多个,形如 @ConfigurationProperties(prefix = "lybgeek.kafka.two")@BeanpublicKafkaPropertiestwoKafkaProperties(){returnnewKafkaProperties(); }@Configurati...
读取第一个kafka配置 FirstKafkaConfig.java importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.beans.factory.annotation.Qualifier;importorg.springframework.boot.autoconfigure.kafka.KafkaProperties;importorg.springframework.boot.context.properties.ConfigurationProperties;importorg.spring...
那比如我有两组 Kafka 集群,为了省事,第一组我就用默认的,而另一组单独设置一组,然后进行ConcurrentKafkaListenerContainerFactory 的定制化注入 @Slf4j @Configuration public class KafkaConfiguration { @Value("${kafka.sec-kafka.consumer.bootstrap-servers:192.168.25.22:9092}") private String servers; @Value(...
1、通过 @ConfigurationProperties指定KafkaProperties前缀 @Primary @ConfigurationProperties(prefix = "lybgeek.kafka.one") @Bean public KafkaProperties oneKafkaProperties(){ return new KafkaProperties(); } 如果有多个就配置多个,形如 @ConfigurationProperties(prefix = "lybgeek.kafka.two") ...
clientId: ${spring.application.name} #方便kafkaserver打印日志定位请求来源 bootstrap-servers: 127.0.0.1:8080 #kafka服务器地址,多个以逗号隔开 #acks=0:生产者把消息发送到broker即认为成功,不等待broker的处理结果。这种方式的吞吐最高,但也是最容易丢失消息的。
spring boot会自动配置kafka,接下来只要配置yml属性文件和主题名配置。 application.yml配置kafka spring: kafka: bootstrap-servers: 127.0.0.1:9092,127.0.0.2:9092,127.0.0.3:9092 producer: retries: 0 batch-size: 16384 buffer-memory: 33554432 key-serializer: org.apache.kafka.common.serialization.StringSerial...
kafka:#bootstrap-servers: server1:9092,server2:9093 #kafka开发地址,#生产者配置producer:# Kafka提供的序列化和反序列化类key-serializer:org.apache.kafka.common.serialization.StringSerializer#序列化value-serializer:org.apache.kafka.common.serialization.StringSerializerretries:1# 消息发送重试次数#acks = 0:...
二.springboot项目中使用kafka 1.在maven中添加依赖 <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>1.1.1.RELEASE</version> </dependency> 2.在application.properties中添加配置 #=== kafka 消费端配置=== kafka.consumer.zookeeper.connect=127.0....
I think what is happening is that the Spring Boot\Kafa auto configuration is clashing with the Spring Integration\Kafka setup. What is the correct way to resolve this? Thanks