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80 changes: 80 additions & 0 deletions bigquery/search/bigquery_search_subset_columns.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,80 @@
# Copyright 2026 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
#
# https://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.

# [START bigquery_search_subset_columns]
import sys

from google.api_core import exceptions
from google.cloud import bigquery


def search_subset_columns(
project_id: str,
) -> None:
"""Searches a specific subset of columns in a BigQuery table using SEARCH.

Args:
project_id: Google Cloud project ID used to bill the query job
(for example, 'example-project').
"""
client = bigquery.Client(project=project_id)
# Query the public theLook eCommerce dataset in bigquery-public-data
# (https://cloud.google.com/bigquery/public-data).
table_ref = "bigquery-public-data.thelook_ecommerce.users"
# Restrict SEARCH to street_address and city by passing a parenthesized column tuple.
search_query = "Nelson Apt"
job_config = bigquery.QueryJobConfig(
query_parameters=[
bigquery.ScalarQueryParameter("search_query", "STRING", search_query),
]
)
sql = f"""
SELECT
u.id,
u.first_name,
u.last_name,
u.street_address,
u.city
FROM `{table_ref}` AS u
WHERE SEARCH((u.street_address, u.city), @search_query)
ORDER BY u.id ASC
LIMIT 10;
"""

try:
print(f"Searching subset of columns in {table_ref} for term: {search_query}")
query_job = client.query(sql, job_config=job_config)
rows = list(query_job.result())
except exceptions.NotFound as err:
print(
f"error: table '{table_ref}' not found when querying from project "
f"'{project_id}': {err.message}",
file=sys.stderr,
)
return
except exceptions.GoogleAPICallError as err:
print(
f"error: failed to search columns in '{table_ref}' for project "
f"'{project_id}': {err.message}",
file=sys.stderr,
)
return

print(f"Resource ID: {table_ref}")
print(f"Job ID: {query_job.job_id}")
print(f"Matching Rows: {len(rows)}")
print(f"Search Term: {search_query}")


# [END bigquery_search_subset_columns]
67 changes: 67 additions & 0 deletions bigquery/search/bigquery_search_subset_columns_test.py
Original file line number Diff line number Diff line change
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# Copyright 2026 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
#
# https://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 bigquery_search_subset_columns
from google.api_core import exceptions
import pytest


def test_search_subset_columns_success(
monkeypatch: pytest.MonkeyPatch,
capsys: pytest.CaptureFixture[str],
) -> None:
mock_client = mock.MagicMock()
mock_job = mock.MagicMock()
mock_job.job_id = "example-job-123"
mock_job.result.return_value = [mock.MagicMock()]
mock_client.query.return_value = mock_job
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
lambda project=None: mock_client,
)
Comment on lines +31 to +35

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medium

Using a lambda with a specific signature like lambda project=None to mock a class constructor is fragile. If the initialization arguments of bigquery.Client change or if other arguments are passed, this will raise a TypeError. Using mock.MagicMock(return_value=mock_client) is the standard, robust way to mock a class constructor in Python.

Suggested change
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
lambda project=None: mock_client,
)
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
mock.MagicMock(return_value=mock_client),
)


bigquery_search_subset_columns.search_subset_columns(
project_id="example-project",
)

captured = capsys.readouterr()
assert "Resource ID: bigquery-public-data.thelook_ecommerce.users" in captured.out
assert "Matching Rows: 1" in captured.out
assert mock_client.query.called


def test_search_subset_columns_error(
monkeypatch: pytest.MonkeyPatch,
capsys: pytest.CaptureFixture[str],
) -> None:
mock_client = mock.MagicMock()
mock_job = mock.MagicMock()
mock_job.result.side_effect = exceptions.NotFound("resource error")
mock_client.query.return_value = mock_job
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
lambda project=None: mock_client,
)
Comment on lines +55 to +59

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medium

Using a lambda with a specific signature like lambda project=None to mock a class constructor is fragile. If the initialization arguments of bigquery.Client change or if other arguments are passed, this will raise a TypeError. Using mock.MagicMock(return_value=mock_client) is the standard, robust way to mock a class constructor in Python.

Suggested change
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
lambda project=None: mock_client,
)
monkeypatch.setattr(
bigquery_search_subset_columns.bigquery,
"Client",
mock.MagicMock(return_value=mock_client),
)


bigquery_search_subset_columns.search_subset_columns(
project_id="example-project",
)

captured = capsys.readouterr()
assert "error:" in captured.err
assert "example-project" in captured.err
23 changes: 23 additions & 0 deletions bigquery/search/noxfile_config.py
Original file line number Diff line number Diff line change
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# Copyright 2026 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
#
# https://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.

TEST_CONFIG_OVERRIDE = {
# You can opt out from the test for specific Python versions.
"ignored_versions": ["2.7", "3.7", "3.8", "3.9", "3.10", "3.11"],
# Enforce type hints on new samples.
"enforce_type_hints": True,
"gcloud_project_env": "GOOGLE_CLOUD_PROJECT",
"pip_version_override": None,
"envs": {},
}
1 change: 1 addition & 0 deletions bigquery/search/requirements-test.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
pytest==9.0.3; python_version >= "3.10"
1 change: 1 addition & 0 deletions bigquery/search/requirements.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
google-cloud-bigquery==3.47.0
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