springboot中如何实现kafa指定offset消费

@Service
@Slf4j
//实现CommandLineRunner接口，在springboot启动时自动运行其run方法。
public class TspLogbookAnalysisService implements CommandLineRunner {
 @Override
 public void run(String... args) {
  //do something
 }
}

@Service
@Slf4j
public class TspLogbookAnalysisService implements CommandLineRunner {
 //声明kafka分区数相等的消费线程数，一个分区对应一个消费线程
 private static final int consumeThreadNum = 9;
 //特殊指定每个分区开始消费的offset
 private List<Long> partitionOffsets = Lists.newArrayList(1111,1112,1113,1114,1115,1116,1117,1118,1119);
 
 private ExecutorService executorService = Executors.newFixedThreadPool(consumeThreadNum);

 @Override
 public void run(String... args) {
  //循环遍历创建消费线程
  IntStream.range(0, consumeThreadNum)
    .forEach(partitionIndex -> executorService.submit(() -> startConsume(partitionIndex)));
 }
}

private Properties buildKafkaConfig() {
 Properties kafkaConfiguration = new Properties();
 kafkaConfiguration.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.GROUP_ID_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "");
 kafkaConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,"");
 kafkaConfiguration.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "");
 ...更多配置项

 return kafkaConfiguration;
}

private void startConsume(int partitionIndex) {
 //创建kafka consumer
 KafkaConsumer<String, byte[]> consumer = new KafkaConsumer<>(buildKafkaConfig());

 try {
  //指定该consumer对应的消费分区
  TopicPartition partition = new TopicPartition(kafkaProperties.getKafkaTopic(), partitionIndex);
  consumer.assign(Lists.newArrayList(partition));

  //consumer的offset处理
  if (collectionUtils.isNotEmpty(partitionOffsets) && partitionOffsets.size() == consumeThreadNum) {
   Long seekOffset = partitionOffsets.get(partitionIndex);
   log.info("partition:{} , offset seek from {}", partition, seekOffset);
   consumer.seek(partition, seekOffset);
  }
  
  //开始消费数据任务
  kafkaRecordConsume(consumer, partition);
 } catch (Exception e) {
  log.error("kafka consume error:{}", ExceptionUtils.getFullStackTrace(e));
 } finally {
  try {
   consumer.commitSync();
  } finally {
   consumer.close();
  }
 }
}

private void kafkaRecordConsume(KafkaConsumer<String, byte[]> consumer, TopicPartition partition) {
 while (true) {
  try {
   ConsumerRecords<String, byte[]> records = consumer.poll(TspLogbookConstants.POLL_TIMEOUT);
   //具体的处理流程
   records.forEach((k) -> handleKafkaInput(k.key(), k.value()));

   //🌿很重要：日志记录当前consumer的offset，partition相关信息(之后如需重新指定offset消费就从这里的日志中获取offset，partition信息)
   if (records.count() > 0) {
    String currentOffset = String.valueOf(consumer.position(partition));
    log.info("current records size is：{}, partition is: {}, offset is:{}", records.count(), consumer.assignment(), currentOffset);
   }
 
   //offset提交  
   consumer.commitAsync();
  } catch (Exception e) {
   log.error("handlerKafkaInput error{}", ExceptionUtils.getFullStackTrace(e));
  }
 }
}