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  │
└───────────┘

{
    if (!response.IsSuccess())
    {
        const auto & err = response.GetError();
        throw Exception(std::to_string(static_cast<int>(err.GetErrorType())) + ": " + err.GetMessage(), ErrorCodes::S3_ERROR);
    }
}
template <typename Result, typename Error>
void throwIfError(const Aws::Utils::Outcome<Result, Error> & response)
{
    if (!response.IsSuccess())
    {
        const auto & err = response.GetError();
        throw Exception(err.GetMessage(), static_cast<int>(err.GetErrorType()));
    }
}
template <typename Result, typename Error>
void logIfError(Aws::Utils::Outcome<Result, Error> & response, Fn<String()> auto && msg)
{
    try
    {
        throwIfError(response);
    }
    catch (...)
    {
        tryLogCurrentException(__PRETTY_FUNCTION__, msg());
    }
}
template <typename Result, typename Error>
void logIfError(const Aws::Utils::Outcome<Result, Error> & response, Fn<String()> auto && msg)