feat(bigquery): add bigquery_get_vector_index_status sample to check …

bigquery/vector_search/bigquery_get_vector_index_status.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_get_vector_index_status]
+import sys
+
+from google.api_core import exceptions
+from google.cloud import bigquery
+
+
+def get_vector_index_status(
+    project_id: str,
+    dataset_id: str,
+    table_id: str,
+) -> None:
+    """Queries INFORMATION_SCHEMA.VECTOR_INDEXES to inspect vector index build status.
+
+    Args:
+        project_id: Google Cloud project ID (for example, 'example-project').
+        dataset_id: BigQuery dataset ID containing the indexed embeddings table
+            (for example, 'example_dataset').
+        table_id: BigQuery table ID to inspect vector indexes for
+            (for example, 'example_embeddings').
+    """
+    client = bigquery.Client(project=project_id)
+    table_ref = f"{project_id}.{dataset_id}.{table_id}"
+    # Parameterize the table_name filter when querying INFORMATION_SCHEMA.VECTOR_INDEXES.
+    job_config = bigquery.QueryJobConfig(
+        query_parameters=[
+            bigquery.ScalarQueryParameter("table_id", "STRING", table_id),
+        ]
+    )
+    sql = f"""
+        SELECT
+          index_name,
+          index_status,
+          coverage_percentage
+        FROM `{project_id}.{dataset_id}.INFORMATION_SCHEMA.VECTOR_INDEXES`
+        WHERE table_name = @table_id;
+    """
+
+    try:
+        print(f"Checking vector index status for table: {table_ref}")
+        query_job = client.query(sql, job_config=job_config)
+        rows = list(query_job.result())
+    except exceptions.NotFound as err:
+        print(
+            f"error: dataset '{dataset_id}' or table '{table_id}' not found in "
+            f"project '{project_id}': {err.message}",
+            file=sys.stderr,
+        )
+        return
+    except exceptions.GoogleAPICallError as err:
+        print(
+            f"error: failed to get vector index status for table '{table_id}' in "
+            f"dataset '{dataset_id}' for project '{project_id}': {err.message}",
+            file=sys.stderr,
+        )
+        return
+
+    index_name = rows[0].index_name if rows else "NONE"
+    index_status = rows[0].index_status if rows else "NONE"
+    coverage_percentage = rows[0].coverage_percentage if rows else 0
+    print(f"Resource ID: {table_ref}")
+    print(f"Index Count: {len(rows)}")
+    print(f"Index Name: {index_name}")
+    print(f"Index Status: {index_status}")
+    print(f"Coverage Percentage: {coverage_percentage}%")
+    print(f"Job ID: {query_job.job_id}")
+
+
+# [END bigquery_get_vector_index_status]

bigquery/vector_search/bigquery_get_vector_index_status_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_get_vector_index_status
+from google.api_core import exceptions
+import pytest
+
+
+def test_get_vector_index_status_success(
+    capsys: pytest.CaptureFixture[str],
+) -> None:
+    with mock.patch("google.cloud.bigquery.Client") as mock_client_cls:
+        mock_client = mock_client_cls.return_value
+        mock_job = mock.MagicMock()
+        mock_job.job_id = "example-job-123"
+        mock_row = mock.MagicMock()
+        mock_row.index_name = "example_vector_index"
+        mock_row.index_status = "ACTIVE"
+        mock_row.coverage_percentage = 100
+        mock_job.result.return_value = [mock_row]
+        mock_client.query.return_value = mock_job
+
+        bigquery_get_vector_index_status.get_vector_index_status(
+            project_id="example-project",
+            dataset_id="example_dataset",
+            table_id="example_embeddings",
+        )
+
+        mock_client.query.assert_called_once()
+        captured = capsys.readouterr()
+        assert (
+            "Resource ID: example-project.example_dataset.example_embeddings"
+            in captured.out
+        )
+        assert "Index Count: 1" in captured.out
+        assert "Index Name: example_vector_index" in captured.out
+        assert "Index Status: ACTIVE" in captured.out
+        assert "Coverage Percentage: 100%" in captured.out
+
+
+def test_get_vector_index_status_not_found(
+    capsys: pytest.CaptureFixture[str],
+) -> None:
+    with mock.patch("google.cloud.bigquery.Client") as mock_client_cls:
+        mock_client = mock_client_cls.return_value
+        mock_job = mock.MagicMock()
+        mock_job.result.side_effect = exceptions.NotFound("Dataset not found")
+        mock_client.query.return_value = mock_job
+
+        bigquery_get_vector_index_status.get_vector_index_status(
+            project_id="example-project",
+            dataset_id="example_dataset",
+            table_id="example_embeddings",
+        )
+
+        captured = capsys.readouterr()
+        assert "error:" in captured.err
+        assert "example_embeddings" in captured.err

bigquery/vector_search/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/vector_search/requirements-test.txt

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

bigquery/vector_search/requirements.txt

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+google-cloud-bigquery==3.47.0