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BUG: Arrow setitem segfaults when len > 145 000 #52075

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Merged
merged 5 commits into from
Mar 27, 2023
Merged

BUG: Arrow setitem segfaults when len > 145 000 #52075

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8c78892
BUG: Arrow setitem segfaults when len > 145 000
phofl Mar 19, 2023
f5c7754
Add gh ref
phofl Mar 19, 2023
5c73f41
Merge remote-tracking branch 'upstream/main' into 52059
phofl Mar 21, 2023
e72007d
Address review
phofl Mar 21, 2023
7535639
Restrict to bool type
phofl Mar 21, 2023
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3 changes: 3 additions & 0 deletions pandas/core/arrays/arrow/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1634,6 +1634,9 @@ def _replace_with_mask(
indices = pa.array(indices, type=pa.int64())
replacements = replacements.take(indices)
return cls._if_else(mask, replacements, values)
if isinstance(values, pa.ChunkedArray):
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Could you add the pyarrow issue link here too?

(mentioned in #52059 (comment))

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added

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You could limit it to combine the chunks only when the values have boolean type

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done

# GH#52059 replace_with_mask segfaults for chunked array
values = values.combine_chunks()
try:
return pc.replace_with_mask(values, mask, replacements)
except pa.ArrowNotImplementedError:
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9 changes: 9 additions & 0 deletions pandas/tests/extension/test_arrow.py
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Expand Up @@ -2368,3 +2368,12 @@ def test_pickle_old_arrowextensionarray():
tm.assert_extension_array_equal(result, expected)
assert result._pa_array == pa.chunked_array(data)
assert not hasattr(result, "_data")


def test_setitem_boolean_replace_with_mask_segfault():
# GH#52059
N = 145_000
arr = ArrowExtensionArray(pa.chunked_array([np.array([True] * N)]))
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nitpick np.ones(N, dtype=bool) is about 1200x faster

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changed

expected = arr.copy()
arr[np.array([False] * N)] = False
assert arr._pa_array == expected._pa_array