springboot整合kafaka批量消费
时间: 2023-05-30 22:02:49 浏览: 759
Spring Boot整合Kafka批量消费可以通过设置Kafka监听器的批量消费配置来实现。具体步骤如下:
1. 在Spring Boot项目中添加Kafka依赖:
```xml
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
<version>2.7.2</version>
</dependency>
```
2. 创建Kafka消费者配置类:
```java
@Configuration
@EnableKafka
public class KafkaConsumerConfig {
@Value("${spring.kafka.bootstrap-servers}")
private String bootstrapServers;
@Value("${spring.kafka.consumer.group-id}")
private String groupId;
@Bean
public ConsumerFactory<String, String> consumerFactory() {
Map<String, Object> 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 new DefaultKafkaConsumerFactory<>(props);
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
// 设置批量消费
factory.setBatchListener(true);
// 批量消费每次最多拉取10条消息
factory.setBatchListenerForCompactedTopics(false);
factory.setBatchErrorHandler(new SeekToCurrentBatchErrorHandler());
factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.BATCH);
return factory;
}
}
```
3. 创建Kafka消息监听器:
```java
@Service
public class KafkaConsumerListener {
@KafkaListener(topics = "${spring.kafka.consumer.topic}", groupId = "${spring.kafka.consumer.group-id}")
public void onMessage(List<String> messages) {
for (String message : messages) {
// 处理消息
}
}
}
```
其中,`@KafkaListener`注解的`List<String>`类型的参数表示批量消费的消息列表。
4. 配置application.yml文件:
```yaml
spring:
kafka:
bootstrap-servers: localhost:9092
producer:
topic: test-topic
consumer:
topic: test-topic
group-id: test-group
```
以上就是Spring Boot整合Kafka批量消费的基本配置。需要注意的是,批量消费也会存在消息重复消费的问题,需要根据具体业务场景进行处理。
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