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 (!reader)
        return {};
    Chunk chunk;
    if (reader->pull(chunk))
    {
        UInt64 num_rows = chunk.getNumRows();
        if (with_path_column)
            chunk.addColumn(DataTypeLowCardinality{std::make_shared<DataTypeString>()}
                                .createColumnConst(num_rows, file_path)
                                ->convertToFullColumnIfConst());
        if (with_file_column)
        {
            size_t last_slash_pos = file_path.find_last_of('/');
            chunk.addColumn(DataTypeLowCardinality{std::make_shared<DataTypeString>()}
                                .createColumnConst(num_rows, file_path.substr(last_slash_pos + 1))
                                ->convertToFullColumnIfConst());
        }
        return chunk;
    }
    {
        std::lock_guard lock(reader_mutex);
        reader.reset();
        pipeline.reset();
        read_buf.reset();
        if (!initialize())
            return {};
    }
    return generate();
}