Maximilian Roos

Hi @jwBoral - thanks for the issue report. Can you offer some more details? Is this loading into python? Into BQ? Do you have a repro example?

Great! Thanks for the update If BQ supports this from CSV, this would be a very welcome addition. (If you're not sure, it's worth confirming this prior)

I would love to support dates over datetimes - both as a feature and because most of our data is in dates. At the moment we upload as datetimes and...

Thanks for the suggestion @dkapitan Interesting ideas - what's the rationale for not doing that _every_ time? I haven't used the new int dtype much; my understanding is that categoricals...

Thanks for the clear plan @dkapitan (I've just returned from a conference so thanks in advance for your patience) Can we clarify whether the data in the data influences whether...

Great @dkapitan My experience is that pandas doesn't deal _that_ well with non-standard types (e.g. smaller floats are upcast on some operations). Combined with our current parsing, I'm not sure...

> Maybe there's a way we can delay the cast. 💯

Thanks for your hard work and patience @dkapitan . Those are superb graphs and I think exactly the right foundation for how to improve performance. In the short term: agree...

Thanks @dkapitan !

Thanks for the report Representing nested data structures is not pandantic, and this isn't currently supported in writing to GBQ. One solution is to load them flattened to BQ and...