多线程如何在Java中更新大型表时提高性能？

Question

我正在使用Azure Table Storage存储大约一百万条映射信息记录，例如<；trackId>；。应该通过向API端点发送查询来每月更新这些映射信息。我编写了以下代码来对每个记录进行简单检查，并更新存储在存储器中的记录

public void updateTrackProfileIdMappings() {
    List<TrackProfileIdMapping> mappings = trackProfileIdMappingRepository.getAllMappings();

    logger.info("Start updating TrackProfileIdMappings. {} mappings will be checked.", mappings.size());
    Stopwatch stopwatch = Stopwatch.createStarted();
    int count = 0;
    for (TrackProfileIdMapping mapping : mappings) {
        String trackId = mapping.getTrackId();
        count = updateTrackProfileIdMapping(trackId, count);

        if(countTrackProfileIdMappingUpdate % 10000 == 0) {
            logger.info("Updating TrackProfileIdMappings: {} out of {} mappings have been checked and updated.", countTrackProfileIdMappingUpdate, mappings.size());
        }
    }
    stopwatch.stop();

    logger.info("Finished updating TrackProfileIdMappings. {} mappings have been checked and updated.", mappings.size());
}


private int updateTrackProfileIdMapping(String trackId, int count) {
    try {
        String profileId = ApiService.getProfileId(trackId);
        trackProfileIdMappingRepository.insertOrUpdateMapping(trackId, profileId);
        count++;
    } catch (.ApiCallException e) {
        logger.error("Failed to retrieve profileId for trackId {}", trackId);
    }
}

而更新10k记录几乎需要30分钟。有没有一种方法可以使用多线程来提高Java的性能