Vince Faller

I can fix it by adding ```py if df.empty: df = pd.DataFrame(columns=dtypes.keys()) ``` right before it.

Already making the MR. I don't know how to use tableau so I don't know how to make a hyper , but I'll see if someone can help me over...

Good point. I'll try that.

Seems that `frame_to_hyper` also doesn't work. ```py import pantab import pathlib from tableauhyperapi import TableName datapath = pathlib.Path(__file__).parent / "data" db_path = datapath / "zero_row.hyper" df_expected = pd.DataFrame(columns = ['A'])...

Don't know if I have that kind of ambition at the moment. But would it be helpful if I made a `test_roundtrip.py` test for it? maybe with a `@pytest.mark.skip(reason="currently failing...

I was looking at `conftest.py` but couldn't see anyplace where it unlinked. I can just steal from basic and see what you say.

Oh that's WAY better than what I usually do. Live and learn.

I saw that one, but I updated to the latest version of DBT and it's still happening. Has #73 not been released yet? Also, I can't use the same bucket...

Just double checked and upgraded again and it's still giving me the issue. And from the code change of #73 that looks like it only has to do with incremental...

@mrshu Well I'm still getting this issue. /shrug I'll try `dbt-glue`