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.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import org.springframework.kafka.listener.ContainerProperties;
import java.util.HashMap;
import java.util.Map;
@Configuration
@EnableKafka
public class kafkaConsumerConfig {
@Value("${kafka.broker}")
private String servers;
@Value("${kafka.groupId}")
private String groupId;
@Bean
public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> batchFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(3);
factory.getContainerProperties().setPollTimeout(1500);
factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL);
//设置批量消费
factory.setBatchListener(true);
return factory;
}
public ConsumerFactory<String, String> consumerFactory() {
return new DefaultKafkaConsumerFactory(consumerConfigs());
}
public Map<String, Object> consumerConfigs() {
Map<String, Object> propsMap = new HashMap<>();
propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
//禁用自动提交偏移量
propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
//与消费者协调器保持会话的超时时间
propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 10000);
propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
//每次拉取的消息数量
propsMap.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 2000);
//每次拉取请求的最小字节数 5M
propsMap.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, 1024 * 1024 * 2);
//即如果数据量小于fetch.min.bytes,消费者等待的最长时间
propsMap.put(ConsumerConfig.FETCH_MAX_WAIT_MS_CONFIG, 1000 * 20);
return propsMap;
}
}
网友评论