feat(bigquery): add bigquery_query_biglake_gcs_table sample to query …

bigquery/biglake/bigquery_query_biglake_gcs_table.py

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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.
+
+# [START bigquery_query_biglake_gcs_table]
+import sys
+
+from google.api_core import exceptions
+from google.cloud import bigquery
+
+
+def query_biglake_gcs_table(
+    project_id: str,
+    dataset_id: str,
+    table_id: str,
+) -> None:
+    """Queries a BigLake table backed by Cloud Storage using GoogleSQL.
+
+    Args:
+        project_id: Google Cloud project ID (for example, 'example-project').
+        dataset_id: BigQuery dataset ID containing the BigLake table
+            (for example, 'example_dataset').
+        table_id: BigLake table ID to query (for example, 'example_biglake_table').
+    """
+    client = bigquery.Client(project=project_id)
+    table_ref = f"{project_id}.{dataset_id}.{table_id}"
+    # BigLake delegates Cloud Storage access to the table's Cloud Resource connection,
+    # allowing standard SQL queries with fine-grained governance.
+    sql = f"""
+        SELECT
+          id,
+          label,
+          score
+        FROM `{table_ref}`
+        ORDER BY score DESC, id ASC
+        LIMIT 10;
+    """
+
+    try:
+        print(f"Querying BigLake table: {table_ref}")
+        query_job = client.query(sql)
+        rows = list(query_job.result())
+    except exceptions.NotFound as err:
+        print(
+            f"error: BigLake table '{table_id}' not found in dataset '{dataset_id}' "
+            f"for project '{project_id}': {err.message}",
+            file=sys.stderr,
+        )
+        return
+    except exceptions.GoogleAPICallError as err:
+        print(
+            f"error: failed to query BigLake table '{table_id}' in dataset "
+            f"'{dataset_id}' for project '{project_id}': {err.message}",
+            file=sys.stderr,
+        )
+        return
+
+    print(f"Resource ID: {table_ref}")
+    print(f"Job ID: {query_job.job_id}")
+    print(f"Rows Returned: {len(rows)}")
+
+
+# [END bigquery_query_biglake_gcs_table]

bigquery/biglake/bigquery_query_biglake_gcs_table_test.py

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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_query_biglake_gcs_table
+from google.api_core import exceptions
+import pytest
+
+
+def test_query_biglake_gcs_table_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_row = mock.MagicMock()
+    mock_job.result.return_value = [mock_row]
+    mock_client.query.return_value = mock_job
+    monkeypatch.setattr(
+        bigquery_query_biglake_gcs_table.bigquery,
+        "Client",
+        lambda project=None: mock_client,
+    )
+
+    bigquery_query_biglake_gcs_table.query_biglake_gcs_table(
+        project_id="example-project",
+        dataset_id="example_dataset",
+        table_id="example_biglake_table",
+    )
+
+    captured = capsys.readouterr()
+    assert "Resource ID:" in captured.out
+    assert "example-project" in captured.out
+    assert mock_client.query.called
+
+
+def test_query_biglake_gcs_table_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_query_biglake_gcs_table.bigquery,
+        "Client",
+        lambda project=None: mock_client,
+    )
+
+    bigquery_query_biglake_gcs_table.query_biglake_gcs_table(
+        project_id="example-project",
+        dataset_id="example_dataset",
+        table_id="example_biglake_table",
+    )
+
+    captured = capsys.readouterr()
+    assert "error:" in captured.err
+    assert "example-project" in captured.err

bigquery/biglake/noxfile_config.py

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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": {},
+}

bigquery/biglake/requirements-test.txt

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+pytest==9.0.3; python_version >= "3.10"

bigquery/biglake/requirements.txt

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+google-cloud-bigquery==3.47.0
+google-cloud-bigquery-storage==2.43.0