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User should be able to write:
dataset.add_columns([pa.field("new_col1", pa.int32()), pa.field("new_col2", pa.string())])
and it would add the new_col1 and new_col2 to the end of the schema. The values would all be null.
new_col1
new_col2
After finishing #3016, this can just be a metadata-only operation. Would just add to the schema, and not modify the data files.
The text was updated successfully, but these errors were encountered:
Is this feature the only motivation for #3016? All null data files should be quite small, regardless of the data type so they might not be so bad.
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Not at all. Motivation for #3016 is being able to create a schema and omit columns when inserting later.
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User should be able to write:
and it would add the
new_col1
andnew_col2
to the end of the schema. The values would all be null.After finishing #3016, this can just be a metadata-only operation. Would just add to the schema, and not modify the data files.
The text was updated successfully, but these errors were encountered: