最近在做微服务的迁移改造工作,其中有一个服务需要订阅多个Kafka,如果使用spring kafka自动配置的话只能配置一个Kafka,不符合需求,该文总结了如何配置多个Kafka,希望对您有帮助。
文章目录
- 准备工作
- 最小化配置Kafka
- 多Kafka配置
准备工作
- 自己搭建一个Kafka
从官方下载Kafka,选择对应Spring Boot 的版本,好在Kafka支持的版本范围比较广,当前最新版本是3.2.1,支持2.12-3.2.1 范围的版本,覆盖了Spring Boot 2.0x-Spring Boot 3.0.x。
https://kafka.apache.org/downloads
- 解压安装
进入bin目录,执行如下命令,按照如下顺序启动
Linux
# 配置文件选择自己对应的目录 zookeeper-server-start.sh ../config/zookeeper.properties
Windows
windows/zookeeper-server-start.bat ../config/zookeeper.properties
打开另外一个终端,启动KafkaServer
Linux
kafka-server-start.sh ../config/server.properties
Windows
windows/kafka-server-start.bat ../config/server.properties
最小化配置Kafka
如下是最小化配置Kafka
pom.xml 引入依赖
org.springframework.kafka spring-kafka application.properties
server.port=8090 spring.application.name=single-kafka-server #kafka 服务器地址 spring.kafka.bootstrap-servers=localhost:9092 #消费者分组,配置后,自动创建 spring.kafka.consumer.group-id=default_group
KafkaProducer 生产者
@Slf4j @Component @EnableScheduling public class KafkaProducer { @Resource private KafkaTemplate kafkaTemplate; private void sendTest() { //topic 会自动创建 kafkaTemplate.send("topic1", "hello kafka"); } @Scheduled(fixedRate = 1000 * 10) public void testKafka() { log.info("send message..."); sendTest(); } }
KafkaConsumer 消费者
@Slf4j @Component public class KafkaConsumer { @KafkaListener(topics = {"topic1"}) public void processMessage(String spuId) { log.warn("process spuId ={}", spuId); } }
运行效果:
多Kafka配置
配置稍微复杂了一点,灵魂就是手动创建,同样引入依赖
pom.xml
org.springframework.kafka spring-kafka application.properties
server.port=8090 spring.application.name=kafka-server #kafka1 #服务器地址 spring.kafka.one.bootstrap-servers=localhost:9092 spring.kafka.one.consumer.group-id=default_group #kafka2 spring.kafka.two.bootstrap-servers=localhost:9092 spring.kafka.two.consumer.group-id=default_group2
第一个Kafka配置,需要区分各Bean的名称
KafkaOneConfig
@Configuration public class KafkaOneConfig { @Value("${spring.kafka.one.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.one.consumer.group-id}") private String groupId; @Bean public KafkaTemplate
kafkaOneTemplate() { return new KafkaTemplate<>(producerFactory()); } @Bean(name = "kafkaOneContainerFactory") KafkaListenerContainerFactory > kafkaOneContainerFactory() { ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.getContainerProperties().setPollTimeout(3000); return factory; } private ProducerFactory producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } private ConsumerFactory consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } private Map producerConfigs() { Map props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } private Map consumerConfigs() { Map props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); return props; } } kafkaOneTemplate 定义第一个Kafka的高级模板,用来发送消息
kafkaOneContainerFactory 消费监听容器,配置在@KafkaListener中,
producerFactory 生产者工厂
consumerFactory 消费者工厂
producerConfigs 生产者配置
consumerConfigs 消费者配置
同样创建第二个Kafka,配置含义,同第一个Kafka
KafkaTwoConfig
@Configuration public class KafkaTwoConfig { @Value("${spring.kafka.two.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.two.consumer.group-id}") private String groupId; @Bean public KafkaTemplate
kafkaTwoTemplate() { return new KafkaTemplate<>(producerFactory()); } @Bean(name = "kafkaTwoContainerFactory") KafkaListenerContainerFactory > kafkaTwoContainerFactory() { ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.getContainerProperties().setPollTimeout(3000); return factory; } private ProducerFactory producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } public ConsumerFactory consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } private Map producerConfigs() { Map props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } private Map consumerConfigs() { Map props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); return props; } } 创建一个测试的消费者,注意配置不同的监听容器containerFactory
KafkaConsumer
@Slf4j @Component public class KafkaConsumer { @KafkaListener(topics = {"topic1"}, containerFactory = "kafkaOneContainerFactory") public void oneProcessItemcenterSpuMessage(String spuId) { log.warn("one process spuId ={}", spuId); } @KafkaListener(topics = {"topic2"},containerFactory = "kafkaTwoContainerFactory") public void twoProcessItemcenterSpuMessage(String spuId) { log.warn("two process spuId ={}", spuId); } }
创建一个测试的生产者,定时往两个topic中发送消息
KafkaProducer
@Slf4j @Component public class KafkaProducer { @Resource private KafkaTemplate kafkaOneTemplate; @Resource private KafkaTemplate kafkaTwoTemplate; private void sendTest() { kafkaOneTemplate.send("topic1", "hello kafka one"); kafkaTwoTemplate.send("topic2", "hello kafka two"); } @Scheduled(fixedRate = 1000 * 10) public void testKafka() { log.info("send message..."); sendTest(); } }
最后运行效果:
其他kafka文章:
【从面试题看源码】-看完Kafka性能优化-让你吊打面试官
- 自己搭建一个Kafka
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