schaal

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this seems to work btw ```go func decimalDecoder(dec *msgpack.Decoder, v reflect.Value, extLen int) error { rdr := dec.Buffered() data := make([]byte, extLen) rdr.Read(data) d, err := decimal.NewFromString(string(data)) if err !=...

I agree. whenever you have time for that ofcourse. Meanwhile thank you for writing and maintaining the library. It is great.

You make an excellent point that I had not thought through. [This is what is said about nan in the pandas documentation.](https://pandas-docs.github.io/pandas-docs-travis/user_guide/missing_data.html) For my use case and data set converting...

Maybe consider `.astype('Int64')` ? [Nullable integer data type](https://pandas.pydata.org/pandas-docs/stable/user_guide/integer_na.html)

Is there a way to set the compression method via the dbConnect call ?

when I run `SELECT getSetting('network_compression_method');` I get LZ4 Which should be supported by this library?

I use both DateTime64 and LowCardinality(String) in my DDL

Understood. Already a big thank you for taking the time to look into this.