feat: add output_schema parameter to ai.generate()#2139
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| @pytest.mark.parametrize( | ||
| ("sql", "expected"), | ||
| [ | ||
| ("x INT64", (pa.field("x", pa.int64()),)), |
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Should we support lowercase dtype strings (e.g., "int64") for compatibility with pandas APIs like astype()
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Good point. Updated the parser to check the type strings in the case-insensitive way.
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b/446974666
I decided to create a local parser for transforming SQL type strings to PyArrow types. The code turned out to be not too difficult to write.
Plus, both the BigFrames and Ibis operators can deduct dtypes locally.