I have insert to s3 6bil rows table:
```
INSERT INTO FUNCTION
s3('https://s3.us-east-1.amazonaws.com/my-bucket/data.csv', 'DFGHJ', 'FGHJIJH, 'CSVWithNames', 'time DateTime, exchangeId UInt16, pairId UInt16, id String, price Decimal(38, 18), volume Decimal(38, 18)')
SELECT * FROM trade;
```
but it fails trying to upload part 10001 while aws s3 upload [supports](https://docs.aws.amazon.com/AmazonS3/latest/userguide/qfacts.html) only 10k parts.

I had to export this select into CSV 600GB file on the disk and then perform successful `aws s3 cp data.csv s3://my-bucket/data.csv`

I expected Clickhouse would do it on his own successfully. 

┌─version()─┐
│ 22.1.3.7  │
└───────────┘

{
    auto size = temporary_buffer->tellp();
    LOG_DEBUG(log, "Writing part. Bucket: {}, Key: {}, Upload_id: {}, Size: {}", bucket, key, multipart_upload_id, size);
    if (size < 0)
        throw Exception("Failed to write part. Buffer in invalid state.", ErrorCodes::S3_ERROR);
    if (size == 0)
    {
        LOG_DEBUG(log, "Skipping writing part. Buffer is empty.");
        return;
    }
    if (part_tags.size() == S3_WARN_MAX_PARTS)
    {
        
        LOG_WARNING(log, "Maximum part number in S3 protocol has reached (too many parts). Server may not accept this whole upload.");
    }
    if (schedule)
    {
        UploadPartTask * task = nullptr;
        int part_number;
        {
            std::lock_guard lock(bg_tasks_mutex);
            task = &upload_object_tasks.emplace_back();
            ++num_added_bg_tasks;
            part_number = num_added_bg_tasks;
        }
        fillUploadRequest(task->req, part_number);