在Spring Kafka中,要设置分区数,您需要在创建KafkaListenerContainerFactory
时配置分区数。以下是一个示例,展示了如何在Java配置类中设置分区数:
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.KafkaListenerConfigurer;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerEndpointRegistrar;
import org.springframework.kafka.config.MethodKafkaListenerEndpoint;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import org.springframework.kafka.listener.config.MethodKafkaListenerEndpointRegistry;
import org.springframework.kafka.support.serializer.ErrorHandlingDeserializer;
import org.springframework.kafka.support.serializer.JsonDeserializer;
import java.util.HashMap;
import java.util.Map;
@Configuration
public class KafkaConfig implements KafkaListenerConfigurer {
@Value("${kafka.bootstrap-servers}")
private String bootstrapServers;
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(3); // 设置并发消费者数量
return factory;
}
public ConsumerFactory<String, String> consumerFactory() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, true);
props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000");
props.put(ConsumerConfig.PARTITION_COUNT, 5); // 设置分区数
return new DefaultKafkaConsumerFactory<>(props);
}
@Override
public void configureKafkaListeners(KafkaListenerEndpointRegistrar registrar) {
MethodKafkaListenerEndpointRegistry registry = new MethodKafkaListenerEndpointRegistry();
registrar.setEndpoints(registry.getEndpoints());
}
}
在这个示例中,我们通过设置PARTITION_COUNT
属性来配置分区数。请注意,这个属性应该与您的Kafka主题的分区数相匹配。如果您不知道当前主题的分区数,可以使用Kafka命令行工具或管理界面来查看。