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  │
└───────────┘

std::string tag;
    std::exception_ptr exception;
};
struct WriteBufferFromS3::PutObjectTask
{
    Aws::S3::Model::PutObjectRequest req;
    bool is_finised = false;
    std::exception_ptr exception;
};
WriteBufferFromS3::WriteBufferFromS3(
    std::shared_ptr<Aws::S3::S3Client> client_ptr_,
    const String & bucket_,
    const String & key_,
    size_t minimum_upload_part_size_,
    size_t max_single_part_upload_size_,
    std::optional<std::map<String, String>> object_metadata_,
    size_t buffer_size_,
    ScheduleFunc schedule_)
    : BufferWithOwnMemory<WriteBuffer>(buffer_size_, nullptr, 0)
    , bucket(bucket_)
    , key(key_)
    , object_metadata(std::move(object_metadata_))
    , client_ptr(std::move(client_ptr_))
    , minimum_upload_part_size(minimum_upload_part_size_)
    , max_single_part_upload_size(max_single_part_upload_size_)
    , schedule(std::move(schedule_))
{
    allocateBuffer();
}
void WriteBufferFromS3::nextImpl()