Spring Boot配置多个Kafka数据源
一、配置文件
application.properties配置文件如下
#kafka多数据源配置
#kafka数据源一，日志审计推送
spring.kafka.one.bootstrap-servers=172.19.12.109:32182
spring.kafka.one.producer.retries=0
spring.kafka.one.producer.properties.max.block.ms=5000
#kafka数据源二，动环数据消费
spring.kafka.two.bootstrap-servers=172.19.12.109:32182
spring.kafka.two.producer.retries=0
spring.kafka.two.producer.properties.max.block.ms=5000
spring.kafka.two.consumer.group-id=bw-convert-data
spring.kafka.two.consumer.enable-auto-commit=true二、pom依赖
org.springframework.kafka
spring-kafka
三、生产者、消费者配置
1.第一个kakfa
package com.gstanzer.convert.config;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.core.*;
import java.util.HashMap;
import java.util.Map;
@EnableKafka
@Configuration
public class KafkaOneConfig {
@Value("${spring.kafka.one.bootstrap-servers}")
private String bootstrapServers;
@Value("${spring.kafka.one.producer.retries}")
private String retries;
@Value("${spring.kafka.one.producer.properties.max.block.ms}")
private String maxBlockMs;
@Bean
public KafkaTemplate kafkaOneTemplate() {
return new KafkaTemplate<>(producerFactory());
}
private ProducerFactory producerFactory() {
return new DefaultKafkaProducerFactory<>(producerConfigs());
}
private Map producerConfigs() {
Map props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.RETRIES_CONFIG, retries);
props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
} 2.第二个kakfa
package com.gstanzer.convert.config;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.*;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import java.util.HashMap;
import java.util.Map;
@Configuration
@EnableKafka
public class KafkaTwoConfig {
@Value("${spring.kafka.two.bootstrap-servers}")
private String bootstrapServers;
@Value("${spring.kafka.two.producer.retries}")
private String retries;
@Value("${spring.kafka.two.producer.properties.max.block.ms}")
private String maxBlockMs;
@Value("${spring.kafka.two.consumer.group-id}")
private String groupId;
@Value("${spring.kafka.two.consumer.enable-auto-commit}")
private boolean enableAutoCommit;
@Bean
public KafkaTemplate kafkaTwoTemplate() {
return new KafkaTemplate<>(producerFactory());
}
@Bean
KafkaListenerContainerFactory> kafkaTwoContainerFactory() {
ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(3);
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.RETRIES_CONFIG, retries);
props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
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.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return props;
}
} 四.生产者
@Controller
public class TestController {
@Autowired
private KafkaTemplate kafkaOneTemplate;
@Autowired
private KafkaTemplate kafkaTwoTemplate;
@RequestMapping("/send")
@ResponseBody
public String send() {
final String TOPIC = "TOPIC_1";
kafkaOneTemplate.send(TOPIC, "kafka one");
kafkaTwoTemplate.send(TOPIC, "kafka two");
return "success";
}
}
五.消费者
@Component
public class KafkaConsumer {
private static final Logger LOGGER = LoggerFactory.getLogger(KafkaConsumer.class);
final String TOPIC = "TOPIC_1";
// containerFactory 的值要与配置中 KafkaListenerContainerFactory 的 Bean 名相同
@KafkaListener(topics = {TOPIC}, containerFactory = "kafkaOneContainerFactory")
public void listenerOne(ConsumerRecord record) {
LOGGER.info(" kafka one 接收到消息：{}", record.value());
}
@KafkaListener(topics = {TOPIC}, containerFactory = "kafkaTwoContainerFactory")
public void listenerTwo(ConsumerRecord record) {
LOGGER.info(" kafka two 接收到消息：{}", record.value());
}
}
备注：
生产者消费者代码参考链接，开发同学需要以实际情况按要求自己变更下代码即可：
Spring Boot 集成多个 Kafka_springboot集成多个kafka_//承续缘_纪录片的博客-CSDN博客