SpringBoot整合kafka实现批量消费功能

在springboot中通过简单配置可以实现对kafka数据的批量拉取和消费功能，首先需要修改yarn配置文件，我测试服务的配置信息如下：

spring:
  kafka:
    bootstrap-servers: 192.168.1.101:9090,192.168.1.102:9090,192.168.1.103:9090
    consumer:
      key-deserializer: org.apache.kafka.common.serialization.LongDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      group-id: batch_consumer_group
      auto-offset-reset: earliest
      max-poll-records: 10240
      max-poll-interval-ms: 10000
      enable-auto-commit: false
      auto-commit-interval: 5000
      fetch-min-size: 1024000
      fetch-max-wait: 30000

在项目的主启动类上需要排除kafka自动配置功能：

@SpringBootApplication(exclude = { KafkaAutoConfiguration.class })
public class KafkaConsumerApplication {

    public static void main(String[] args) {
        SpringApplication.run(KafkaConsumerApplication.class, args);
    }
}

创建一个kafka消费者配置类，指定配置信息：

import com.google.common.collect.Maps;
import org.apache.kafka.clients.consumer.ConsumerConfig;
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.DefaultKafkaConsumerFactory;

import java.util.Map;

/**
 * @author xingo
 * @date: 2022/1/7
 */
@Configuration
@EnableKafka
public class KafkaConsumerConfig {

	@Value("${spring.kafka.bootstrap-servers}")
	private String bootstrapServers;
	@Value("${spring.kafka.consumer.enable-auto-commit}")
	private Boolean enableAutoCommit;
	@Value("${spring.kafka.consumer.auto-commit-interval}")
	private Integer autoCommitInterval;
	@Value("${spring.kafka.consumer.group-id}")
	private String groupId;
	@Value("${spring.kafka.consumer.max-poll-records}")
	private Integer maxPollRecords;
	@Value("${spring.kafka.consumer.max-poll-interval-ms}")
	private Integer maxPollIntervalMs;
	@Value("${spring.kafka.consumer.auto-offset-reset}")
	private String autoOffsetReset;
	@Value("${spring.kafka.consumer.key-deserializer}")
	private String keyDeserializer;
	@Value("${spring.kafka.consumer.value-deserializer}")
	private String valueDeserializer;
	@Value("${spring.kafka.consumer.fetch-min-size}")
	private Integer fetchMinSize;
	@Value("${spring.kafka.consumer.fetch-max-wait}")
	private Integer fetchMaxWait;

	/**
	 *  消费者配置信息
	 */
	@Bean
	public Map<String, Object> consumerConfigs() {
		Map<String, Object> props = Maps.newHashMap();
		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.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval);
		props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
		props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxPollRecords);
		props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, maxPollIntervalMs);
		props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, keyDeserializer);
		props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, valueDeserializer);
		props.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, fetchMinSize);
		props.put(ConsumerConfig.FETCH_MAX_BYTES_CONFIG, fetchMaxWait);
		props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 120000);
		props.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, 120000);

		return props;
	}

	/**
	 *  消费者批量工程
	 */
	@Bean
	public KafkaListenerContainerFactory<?> batchConsumeFactory() {
		ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
		factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs()));
  		// 并发创建消费者数量
        // factory.setConcurrency(5);
		// 设置为批量消费，每个批次数量在Kafka配置参数中设置ConsumerConfig.MAX_POLL_RECORDS_CONFIG
		factory.setBatchListener(true);
		factory.getContainerProperties().setPollTimeout(15000);

		return factory;
	}
}

最后创建一个消费者监听类就可以实现批量拉取数据了：

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

import java.util.List;

@Component
public class KafkaConsumer {

	/**
	 * 批量消费数据
	 * @param records
	 */
	@KafkaListener(topics = "batch-messages", containerFactory = "batchConsumeFactory")
	public void linsten(List<ConsumerRecord<Long, String>> records) {
		try {
			System.out.println("批量拉取消息队列数据 : " + records.size());
			if (records.size() > 0) {
				for (ConsumerRecord<Long, String> record : records) {
					System.out.println(record.value());
				}
			}
		} catch (Exception e) {
			e.printStackTrace();
		}
	}

}