Handler csv reader options in cudf-polars #16211
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jameslamb
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Jul 8, 2024
mroeschke
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Jul 8, 2024
| # because polars will already have handled them. | ||
| path = Path(p) | ||
| with path.open() as f: | ||
| while f.readline() == "\n": |
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Is this something that read_csv should eventually implement?
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At some point (maybe soon?), cudf-polars is not going to use cudf.read_csv, but rather the libcudf layer directly, so we'll probably need to do this here anyway.
mroeschke
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Jul 8, 2024
| @@ -206,24 +208,104 @@ def __post_init__(self) -> None: | |||
| if self.file_options.n_rows is not None: | |||
| raise NotImplementedError("row limit in scan") | |||
| if self.typ not in ("csv", "parquet"): | |||
| raise NotImplementedError(f"Unhandled scan type: {self.typ}") | |||
| if self.cloud_options is not None and any( | |||
| self.cloud_options[k] is not None for k in ("aws", "azure", "gcp") | |||
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Confirming that these strings are guaranteed to be in the dict at this point? If this option isn't supported at all would it be worthwhile just to only accept None here?
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csv reader has non-None cloud_options but the values are None, so I can't punt for cloud_options is not None.
mroeschke
approved these changes
Jul 8, 2024
Convert internal PySeries to public Series in translation.
If one passes an empty list for the names, things should work.
Possibly some pieces are missing, but this is much closer to complete.
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Description
Previously we were just relying on the default cudf read_csv options which doesn't do the right thing if the user has configured things.
Now that polars passes through the information to us, we can handle things properly, and raise for unsupported cases.
While here, update to new polars release and adapt tests to bug fixes that have been made upstream.
Checklist