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  │
└───────────┘

schedule([this, task]()
        {
            try
            {
                processUploadRequest(*task);
            }
            catch (...)
            {
                task->exception = std::current_exception();
            }
            {
                std::lock_guard lock(bg_tasks_mutex);
                task->is_finised = true;
                ++num_finished_bg_tasks;
                
                
                
                bg_tasks_condvar.notify_one();
            }
        });
    }
    else
    {
        UploadPartTask task;
        fillUploadRequest(task.req, part_tags.size() + 1);
        processUploadRequest(task);
        part_tags.push_back(task.tag);
    }
}
void WriteBufferFromS3::fillUploadRequest(Aws::S3::Model::UploadPartRequest & req, int part_number)