diff --git a/ibis/backends/bigquery/__init__.py b/ibis/backends/bigquery/__init__.py index 22ae64cc1424..907e74d3b76c 100644 --- a/ibis/backends/bigquery/__init__.py +++ b/ibis/backends/bigquery/__init__.py @@ -806,6 +806,7 @@ def to_pyarrow( table = query.to_arrow( progress_bar_type=None, bqstorage_client=self.storage_client ) + table = table.rename_columns(list(expr.as_table().schema().names)) return expr.__pyarrow_result__(table) def to_pyarrow_batches( diff --git a/ibis/backends/tests/test_export.py b/ibis/backends/tests/test_export.py index 0026a1adbc2e..c75d64cf2cd3 100644 --- a/ibis/backends/tests/test_export.py +++ b/ibis/backends/tests/test_export.py @@ -1,5 +1,7 @@ from __future__ import annotations +from operator import methodcaller + import pandas as pd import pytest from packaging.version import parse as vparse @@ -545,20 +547,33 @@ def test_table_to_polars(limit, awards_players): @pytest.mark.parametrize("limit", limit_no_limit) -def test_column_to_polars(limit, awards_players): - pl = pytest.importorskip("polars") - res = awards_players.awardID.to_polars(limit=limit) - assert isinstance(res, pl.Series) - if limit is not None: - assert len(res) == limit +@pytest.mark.parametrize( + ("output_format", "expected_column_type"), + [("pyarrow", "ChunkedArray"), ("polars", "Series")], + ids=["pyarrow", "polars"], +) +def test_column_to_memory(limit, awards_players, output_format, expected_column_type): + mod = pytest.importorskip(output_format) + method = methodcaller(f"to_{output_format}", limit=limit) + res = method(awards_players.awardID) + assert isinstance(res, getattr(mod, expected_column_type)) + assert (limit is not None and len(res) == limit) or len( + res + ) == awards_players.count().execute() @pytest.mark.parametrize("limit", no_limit) -def test_scalar_to_polars(limit, awards_players): - pytest.importorskip("polars") - scalar = awards_players.yearID.min().to_polars(limit=limit) - assert isinstance(scalar, int) +@pytest.mark.parametrize( + ("output_format", "converter"), + [("pyarrow", methodcaller("as_py")), ("polars", lambda x: x)], + ids=["pyarrow", "polars"], +) +def test_scalar_to_memory(limit, awards_players, output_format, converter): + pytest.importorskip(output_format) + method = methodcaller(f"to_{output_format}", limit=limit) + scalar = method(awards_players.yearID.min()) + assert isinstance(converter(scalar), int) expr = awards_players.filter(awards_players.awardID == "DEADBEEF").yearID.min() - res = expr.to_polars(limit=limit) - assert res is None + res = method(expr) + assert converter(res) is None diff --git a/poetry.lock b/poetry.lock index 4fa434a55360..15f5403c9604 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4817,52 +4817,55 @@ files = [ [[package]] name = "pyarrow" -version = "16.1.0" +version = "17.0.0" description = "Python library for Apache Arrow" optional = false python-versions = ">=3.8" files = [ - {file = "pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = 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