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feat(pyarrow): support __arrow_c_schema__ on ibis.Schema objects #9665

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Jul 22, 2024
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3 changes: 3 additions & 0 deletions ibis/expr/schema.py
Original file line number Diff line number Diff line change
Expand Up @@ -183,6 +183,9 @@ def to_pyarrow(self):

return PyArrowSchema.from_ibis(self)

def __arrow_c_schema__(self):
return self.to_pyarrow().__arrow_c_schema__()

def to_polars(self):
"""Return the equivalent polars schema."""
from ibis.formats.polars import PolarsSchema
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7 changes: 7 additions & 0 deletions ibis/expr/tests/test_schema.py
Original file line number Diff line number Diff line change
Expand Up @@ -393,6 +393,13 @@ def test_schema_from_to_pyarrow_schema():
assert restored_schema == pyarrow_schema


def test_schema___arrow_c_schema__():
pytest.importorskip("pyarrow")
schema = sch.Schema({"a": dt.int64, "b": dt.string, "c": dt.boolean})
# smoketest, since no way to create schema from capsule in current pyarrow
assert schema.__arrow_c_schema__() is not None

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pa.schema will use the __arrow_c_schema__ method for recent pyarrow (v15+ I think).

I sometimes use a wrapper class in tests to ensure it sees only the __arrow_c_schema__ method:

class CSchemaWrapper:
    def __init__(obj):
        self.obj = obj

    def __arrow_c_schema__(self):
        return self.obj.__arrow_c_schema__()

then check

pa.schema(CSchemaWrapper(schema))

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@corleyma corleyma Jul 23, 2024

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fwiw, I tried this (pa.schema(ibis_schema)) with the ibis 9.2.0 and pyarrow 17.0 and alas, no dice:

File [~/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi:5360](https://notebooks.freenome.net/user/mcorley/lab/tree/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi#line=5359), in pyarrow.lib.schema()

File [~/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi:3541](https://notebooks.freenome.net/user/mcorley/lab/tree/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi#line=3540), in pyarrow.lib.field()

File [~/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi:5301](https://notebooks.freenome.net/user/mcorley/lab/tree/test-hook/lib/python3.11/site-packages/pyarrow/types.pxi#line=5300), in pyarrow.lib.ensure_type()

TypeError: DataType expected, got <class 'ibis.expr.datatypes.core.String'>

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There's something odd going on with our base classes and whatever mechanism that pyarrow is using to invoke the method.

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Arg, pyarrow first checks whether the input is a Mapping and then checks whether __arrow_c_schema__ exists 😞

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@cpcloud cpcloud Jul 23, 2024

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Seems like this functionality is broken in pyarrow: an object can't be both a mapping and implement the __arrow_c_schema__ interface.

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Opened up apache/arrow#43388 to track this.

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In the meantime I'll add an xfailing test that will start to pass once this is addressed.

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@pytest.mark.parametrize("lazy", [False, True])
def test_schema_infer_polars_dataframe(lazy):
pl = pytest.importorskip("polars")
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