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Speed up StringDtype arrow implementation for merge #54510

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Merged
merged 5 commits into from
Aug 22, 2023
Merged

Speed up StringDtype arrow implementation for merge #54510

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2b96945
Speed up StringDtype arrow implementation
phofl Aug 12, 2023
c05918e
Fixups
phofl Aug 12, 2023
97cbdbb
Fixups
phofl Aug 12, 2023
f592c48
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phofl Aug 16, 2023
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phofl Aug 21, 2023
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5 changes: 4 additions & 1 deletion pandas/core/reshape/merge.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2407,13 +2407,16 @@ def _factorize_keys(
or is_string_dtype(lk.dtype)
and not sort
)
or (is_string_dtype(lk.dtype) and lk.dtype.storage == "pyarrow") # type: ignore[attr-defined] # noqa: E501
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would using isinstance(lk.dtype, StringDtype) fix the mypy complaint? (and possibly be more robust to object dtype cases?)

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You still have to check the storage (python strings...)

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yes but doing the isinstace check instead of is_string_dtype then makes the mypy complaint go away? (and excludes object dtype and is just better in general)

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ah got you, done

):
lk, _ = lk._values_for_factorize()

# error: Item "ndarray" of "Union[Any, ndarray]" has no attribute
# "_values_for_factorize"
rk, _ = rk._values_for_factorize() # type: ignore[union-attr]
elif isinstance(lk.dtype, ArrowDtype) and is_string_dtype(lk.dtype):
elif (isinstance(lk.dtype, ArrowDtype) and is_string_dtype(lk.dtype)) or (
is_string_dtype(lk.dtype) and lk.dtype.storage == "pyarrow" # type: ignore[attr-defined] # noqa: E501
):
import pyarrow as pa
import pyarrow.compute as pc

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