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22 changes: 22 additions & 0 deletions bigframes/core/blocks.py
Original file line number Diff line number Diff line change
Expand Up @@ -3471,6 +3471,28 @@ def _pd_index_to_array_value(
Create an ArrayValue from a list of label tuples.
The last column will be row offsets.
"""
if index.empty:
id_gen = bigframes.core.identifiers.standard_id_strings()
col_ids = [next(id_gen) for _ in range(index.nlevels + 1)]

data_dict = {}
if isinstance(index, pd.MultiIndex):
dtypes = index.dtypes.values.tolist()
else:
dtypes = [index.dtype]

for col_id, dtype in zip(col_ids[:-1], dtypes):
try:
bf_dtype = bigframes.dtypes.bigframes_type(dtype)
pa_type = bigframes.dtypes.bigframes_dtype_to_arrow_dtype(bf_dtype)
except TypeError:
pa_type = pa.string()
data_dict[col_id] = pa.array([], type=pa_type)

data_dict[col_ids[-1]] = pa.array([], type=pa.int64())
table = pa.Table.from_pydict(data_dict)
return core.ArrayValue.from_pyarrow(table, session=session)

rows = []
labels_as_tuples = utils.index_as_tuples(index)
for row_offset in range(len(index)):
Expand Down
54 changes: 54 additions & 0 deletions tests/unit/core/test_blocks_unpivot.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,54 @@
# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from unittest import mock

import pandas as pd
import pytest

from bigframes.core import blocks


@pytest.fixture
def mock_session():
session = mock.MagicMock()
session.bqclient = None
return session


def test_pd_index_to_array_value_with_empty_index_creates_columns(mock_session):
"""
Tests that `_pd_index_to_array_value` correctly handles an empty pandas Index by creating
an ArrayValue with the expected columns (index column + offset column).
This prevents crashes in `unpivot` which expects these columns to exist.
"""
empty_index = pd.Index([], name="test")

array_val = blocks._pd_index_to_array_value(mock_session, empty_index)

# Should be 2: one for index, one for offset
assert len(array_val.column_ids) == 2


def test_pd_index_to_array_value_with_empty_multiindex_creates_columns(mock_session):
"""
Tests that `_pd_index_to_array_value` correctly handles an empty pandas MultiIndex by creating
an ArrayValue with the expected columns (one for each level + offset column).
"""
empty_index = pd.MultiIndex.from_arrays([[], []], names=["a", "b"])

array_val = blocks._pd_index_to_array_value(mock_session, empty_index)

# Should have 3 columns: a, b, offset
assert len(array_val.column_ids) == 3