fix: avoid 404 if dataset is deleted while listing tables or views

pybigquery/sqlalchemy_bigquery.py

@@ -25,6 +25,7 @@
 import operator
 
 from google import auth
+import google.api_core.exceptions
 from google.cloud.bigquery import dbapi
 from google.cloud.bigquery.schema import SchemaField
 from google.cloud.bigquery.table import TableReference
@@ -391,10 +392,17 @@ def _get_table_or_view_names(self, connection, table_type, schema=None):
             if current_schema is not None and current_schema != dataset.dataset_id:
                 continue
 
-            tables = client.list_tables(dataset.reference)
-            for table in tables:
-                if table_type == table.table_type:
-                    result.append(get_table_name(table))
+            try:
+                tables = client.list_tables(dataset.reference)
+                for table in tables:
+                    if table_type == table.table_type:
+                        result.append(get_table_name(table))
+            except google.api_core.exceptions.NotFound:
+                # It's possible that the dataset was deleted between when we
+                # fetched the list of datasets and when we try to list the
+                # tables from it. See:
+                # https://github.com/googleapis/python-bigquery-sqlalchemy/issues/105
+                pass
         return result
 
     @staticmethod

tests/unit/test_sqlalchemy_bigquery.py

@@ -0,0 +1,139 @@
+# Copyright 2021 The PyBigQuery Authors
+#
+# Use of this source code is governed by an MIT-style
+# license that can be found in the LICENSE file or at
+# https://opensource.org/licenses/MIT.
+
+from unittest import mock
+
+import google.api_core.exceptions
+from google.cloud import bigquery
+from google.cloud.bigquery.dataset import DatasetListItem
+from google.cloud.bigquery.table import TableListItem
+import pytest
+import sqlalchemy
+
+
+@pytest.fixture
+def mock_bigquery_client():
+    return mock.create_autospec(bigquery.Client, instance=True)
+
+
+@pytest.fixture
+def mock_connection(monkeypatch, mock_bigquery_client):
+    from pybigquery import sqlalchemy_bigquery
+
+    def mock_connect_args(*args, **kwargs):
+        return ([mock_bigquery_client], {})
+
+    monkeypatch.setattr(
+        sqlalchemy_bigquery.BigQueryDialect, "create_connect_args", mock_connect_args
+    )
+
+
+@pytest.fixture
+def engine_under_test(mock_connection):
+    return sqlalchemy.create_engine("bigquery://")
+
+
+@pytest.fixture
+def inspector_under_test(engine_under_test):
+    from sqlalchemy.engine.reflection import Inspector
+
+    return Inspector.from_engine(engine_under_test)
+
+
+def dataset_item(dataset_id):
+    return DatasetListItem(
+        {"datasetReference": {"projectId": "some-project-id", "datasetId": dataset_id}}
+    )
+
+
+def table_item(dataset_id, table_id, type_="TABLE"):
+    return TableListItem(
+        {
+            "type": type_,
+            "tableReference": {
+                "projectId": "some-project-id",
+                "datasetId": dataset_id,
+                "tableId": table_id,
+            },
+        }
+    )
+
+
+@pytest.mark.parametrize(
+    ["datasets_list", "tables_lists", "expected"],
+    [
+        ([], [], []),
+        ([dataset_item("dataset_1")], [[]], []),
+        (
+            [dataset_item("dataset_1"), dataset_item("dataset_2")],
+            [
+                [table_item("dataset_1", "d1t1"), table_item("dataset_1", "d1t2")],
+                [
+                    table_item("dataset_2", "d2t1"),
+                    table_item("dataset_2", "d2view", type_="VIEW"),
+                ],
+            ],
+            ["dataset_1.d1t1", "dataset_1.d1t2", "dataset_2.d2t1"],
+        ),
+        (
+            [dataset_item("dataset_1"), dataset_item("dataset_deleted")],
+            [
+                [table_item("dataset_1", "d1t1")],
+                google.api_core.exceptions.NotFound("dataset_deleted"),
+            ],
+            ["dataset_1.d1t1"],
+        ),
+    ],
+)
+def test_get_table_names(
+    engine_under_test, mock_bigquery_client, datasets_list, tables_lists, expected
+):
+    mock_bigquery_client.list_datasets.return_value = datasets_list
+    mock_bigquery_client.list_tables.side_effect = tables_lists
+    table_names = engine_under_test.table_names()
+    mock_bigquery_client.list_datasets.assert_called_once()
+    assert mock_bigquery_client.list_tables.call_count == len(datasets_list)
+    assert list(sorted(table_names)) == list(sorted(expected))
+
+
+@pytest.mark.parametrize(
+    ["datasets_list", "tables_lists", "expected"],
+    [
+        ([], [], []),
+        ([dataset_item("dataset_1")], [[]], []),
+        (
+            [dataset_item("dataset_1"), dataset_item("dataset_2")],
+            [
+                [
+                    table_item("dataset_1", "d1t1"),
+                    table_item("dataset_1", "d1view", type_="VIEW"),
+                ],
+                [
+                    table_item("dataset_2", "d2t1"),
+                    table_item("dataset_2", "d2view", type_="VIEW"),
+                ],
+            ],
+            ["dataset_1.d1view", "dataset_2.d2view"],
+        ),
+        (
+            [dataset_item("dataset_1"), dataset_item("dataset_deleted")],
+            [
+                [table_item("dataset_1", "d1view", type_="VIEW")],
+                google.api_core.exceptions.NotFound("dataset_deleted"),
+            ],
+            ["dataset_1.d1view"],
+        ),
+    ],
+)
+def test_get_view_names(
+    inspector_under_test, mock_bigquery_client, datasets_list, tables_lists, expected
+):
+    mock_bigquery_client.list_datasets.return_value = datasets_list
+    mock_bigquery_client.list_tables.side_effect = tables_lists
+    view_names = inspector_under_test.get_view_names()
+    mock_bigquery_client.list_datasets.assert_called_once()
+    assert mock_bigquery_client.list_tables.call_count == len(datasets_list)
+    assert list(sorted(view_names)) == list(sorted(expected))